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Data Science Courses Online

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Explore the world of data science with a wide range of online classes on CourseHorse. Gain valuable Python, machine learning, and data visualization skills to unlock exciting career opportunities and make data-driven decisions.

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116 results

Data Science Certificate

Noble Desktop See all classes by this school - Virtually Online

Prepare for a high-demand career in data science with this beginner-friendly program. Gain expertise in Python programming, SQL querying, and machine learning to analyze and manipulate data. You'll develop real-world projects, build dynamic dashboards, and create predictive models, equipping you with the skills needed to secure entry-level data science and Python engineering roles.

(441) All levels 18 and older
$3,995

18 sessions

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Python for Data Science Bootcamp

Noble Desktop See all classes by this school - Virtually Online

Uncover the power of Python for analyzing real-world data sets in this hands-on course at Noble Desktop. Explore Python fundamentals and learn how to create programs, work with data, visualize insights, and develop machine learning models. Elevate your data science skills with the Python for Data Science Bootcamp.

(441) All levels 18 and older
$1,495

5 sessions

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Python: Data Science & AI Machine Learning (High School)

NextGen Bootcamp See all classes by this school @ Live Virtual

Join this live online summer program and learn Python for data science and machine learning. Gain the skills to analyze and graph data using Python's powerful libraries. Ideal for high school students with an interest in coding.

(52) All levels 13 - 18 years old
$1,699

14 sessions

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Data Science & AI Certificate

Noble Desktop See all classes by this school - Virtually Online

Gain essential skills in Python programming, data analysis, and machine learning to prepare for a career in data science. This beginner-friendly course covers everything from database querying with SQL to building predictive models and creating data visualizations. Work on real-world projects and receive expert mentorship to ensure you're job-ready for roles in data science and Python engineering.

(441) All levels 18 and older
$3,995

18 sessions

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Excel for Data Analytics

Noble Desktop See all classes by this school - Virtually Online

Master the art of organizing and analyzing data on a professional level with this hands-on course. Learn advanced techniques in Excel to sort, filter, group, and visualize data efficiently and effectively. Take your data analytics skills to the next level and boost your career prospects.

(441) All levels 18 and older
$595

3 sessions

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SQL Bootcamp

Practical Programming See all classes by this school - Virtually Online

Master the fundamentals of SQL and gain the skills to easily clean, manipulate, and analyze data with English-like queries. Take your role in decision-making to the next level in any industry as you become proficient in this in-demand skill. Join us for this comprehensive course that covers everything from basic querying techniques to advanced concepts like subqueries and timestamp functions.

(330) Beginner 18 and older
$975

3 sessions

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Python Data Visualization & Interactive Dashboards

Noble Desktop See all classes by this school - Virtually Online

Master the art of visualizing data and creating interactive dashboards using Python. Gain hands-on experience with popular libraries such as NumPy, Pandas, Matplotlib, Seaborn, Plotly, and Dash Enterprise. Impress potential employers with your data science skills by working on real-life projects and demonstrating your coding and analytical abilities.

(441) All levels 18 and older
$1,695

4 sessions

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Python for Data Science Immersive

Practical Programming See all classes by this school - Virtually Online

Unlock the power of Python and dive into the world of data science with this immersive course. Gain practical skills in programming, data analysis, and visualization, and become a valuable asset in high-growth industries. Start your journey towards a career in data science today.

(330) Beginner 18 and older
$1,495

5 sessions

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Excel, Finance & Investing Summer Program (High School)

NextGen Bootcamp See all classes by this school @ Live Virtual

Master Microsoft Excel, finance, and stock market investing in this comprehensive summer program. Gain the skills needed to excel in college and internships while learning from top instructors in the field. Elevate your finance and business knowledge with this high school program in NYC.

(52) All levels 13 - 18 years old
$1,299

5 sessions

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Data Science Certificate

Practical Programming See all classes by this school - Virtually Online

Learn the necessary programming skills to analyze and manipulate databases in this certificate program. Gain knowledge in Python and data science libraries such as Numpy, Pandas, and Matplotlib. Prepare for entry-level positions in data science and Python engineering.

(330) All levels 18 and older
$3,995

18 sessions

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Data Science Certificate

NYC Career Centers See all classes by this school - Virtually Online

Become an expert in data manipulation, analysis, and machine learning using Python in this comprehensive program. Launch your career in the high-demand field of data science.

(683) All levels 18 and older
$3,995

18 sessions

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Python for Data Science Bootcamp

NYIM Training See all classes by this school - Virtually Online

Master the Python programming language and learn advanced techniques for data visualization and machine learning in this data science bootcamp. Explore the fundamentals of Python before diving into the powerful tools of Pandas, Matplotlib, and Sci-Kit learn for analyzing and visualizing data. Take your data science skills to the next level at NYIM Training.

(747) All levels 18 and older
$1,495

5 sessions

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FinTech Summer Program (High School)

NextGen Bootcamp See all classes by this school @ Live Virtual

Gain a competitive edge in finance and data science with the interactive FinTech Summer Program for high school students in NYC at NextGen Bootcamp. Learn Microsoft Excel, stock market investing, and Python for data analysis to excel in college and internships. Explore the world of finance and gain essential skills sought after by employers.

(52) All levels 13 - 18 years old
$3,295

14 sessions

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Python for Automation

Practical Programming See all classes by this school - Virtually Online

Learn how to automate time-consuming tasks and gather data from the internet using Python in this comprehensive course. Gain the advantage of instantly collecting up-to-date data across the web in various fields like social media, e-commerce, real estate, travel, and government affairs. Master web scraping, writing loops, avoiding common pitfalls, running programs on a regular schedule, and storing scraped data.

(330) Intermediate 18 and older

Data Science & AI Certificate (Self-Paced)

Noble Desktop See all classes by this school - Self-paced Video Training

Master Python, machine learning, and data visualization at your own pace in this beginner-friendly Data Science & AI Certificate program—designed to prepare you for one of today’s top-paying tech careers. Build real-world projects, get 1-on-1 mentorship, and showcase your skills to future employers.

(441) Beginner 18 and older

Python for Data Science (Self-Paced)

Noble Desktop See all classes by this school - Self-paced Video Training

Kickstart your data science journey with our self-paced Python for Data Science course! Learn Python fundamentals, analyze data with Pandas and NumPy, and create stunning visualizations—all while building a strong foundation for machine learning.

(441) All levels 18 and older

Python Data Visualization & Interactive Dashboards (Self-Paced)

Noble Desktop See all classes by this school - Self-paced Video Training

Learn to turn raw data into stunning visuals and interactive dashboards using Python libraries like Pandas, Plotly, and Dash—all at your own pace. Build real-world projects, deploy them online, and showcase your data skills to potential employers.

(441) Intermediate 18 and older

Python Machine Learning Bootcamp

Noble Desktop See all classes by this school - Virtually Online

Master the practical skills needed to create machine learning algorithms that can independently learn patterns and make decisions in this hands-on bootcamp. Gain the in-demand skillset that powers the majority of trading on Wall Street and the product recommendations at big companies like Amazon, Spotify, and Netflix.

(441) All levels 18 and older
$1,895

10 sessions

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Python Immersive

Practical Programming See all classes by this school - Virtually Online

Immerse yourself in a hands-on beginner Python programming course to master programming fundamentals, create objects in Object-Oriented Programming, and tackle real-world challenges. Gain practical experience with coding exercises and build a portfolio of projects to showcase your skills.

(330) Beginner 18 and older
$1,495

5 sessions

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Python Data Science & Machine Learning Bootcamp

Noble Desktop See all classes by this school - Virtually Online

Learn how to apply Python to analyze data, create predictive models using machine learning, and automate tasks in this comprehensive data science course. Gain the necessary programming skills to excel in entry-level data science and Python engineering positions.

(441) Beginner 18 and older
$3,495

15 sessions

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Reviews for Data Science Courses Online

Data Science Courses Online are rated 4.5 stars based on 87 verified reviews from actual CourseHorse.com purchasers.

  • Stephen was amazing..very patience, knowledgable and informative. Answered all my questions and went beyond to assist in ensuring my questions were answered!!
  • Very helpful and detailed with practical information that can be used immediately.
  • I was able to get excellent direction to both understand the sign on process, (which is hard), and the Midjourney experience. The teacher was very attentive and helpful.
  • The instructor was excellent. Help me a lot to understand much better ChatGPT
  • This class was great! I learned a lot while still having a good time, which is what made it so enjoyable.
  • Amazing class. Definitely would suggest it for anyone looking to go into business.
  • We covered something new every day, which made me feel that I was exploring a lot about Python.
  • The methods of teaching were very helpful and I learned a lot from this class.
  • Excellent class that immerses me in a deep and valuable understand of Python and data science!
  • Professional and proficient service teaching skills
  • Alekai McAdam, provided proficient and professional instructions for class, I learned a great deal of information. Thanks
  • Python Immersive

    I would highly recommend this course to anyone who is looking to gain some knowledge with Python. Thalo(course instructor) is the man! He explains things really well and shows great examples throughout his explanation. Again I highly recommend it.
  • Python Immersive

    I've really enjoyed this course. I've taken online courses but now I understand fundamentals and can right my own scripts. A lot of personal attention. Small group.
  • It is one of my best decisions to attend NYC Data Science Academy. During the bootcamp, I gained more confidence in programming. The coding skills taught are always on trend. Followed by the schedule of the bootcamp, I smoothly transferred my career path into data science. I do not only learned R, Python with corresponding practical, popular libraries in industrial applications but also acquired the ability in quickly learning new skills. NYC Data Science Academy provides students a good platform to communicate computer programming, machine learning algorithms, and its applications. Instructors and TAs are always helpful and patient for students to overcome difficulties in the study and provide supports. At the same time, students could have a blog platform with editing help to present projects. Interview skill development and career advice from Chris and Vivian are powerful to develop students as strong competitors in the job market. I really appreciate the knowledge, skills, and support I acquired from NYC Data Science Academy. I highly recommend NYC Data Science Academy to anyone who is interested in this career.
  • I attended the 12-week boot-camp at NYC Data Science Academy from Sep. 2016 to Dec. 2016. Before that I got my PhD in Chemistry and worked 6 years' as a Post-doc in biochemistry. The curriculum was well organized. 12-week courses covered R and Python programming, statistical analysis and machine learning. During the last few weeks, big data tools like Hadoop and Spark were also covered. For one coming from academic background, the breadth of topics and difficulty level felt just right. The boot-camp courses weren't supposed to teach you everything, but they did prepare me very well if I wanted to explore further data science topics. The boot-camp was intense. I was only sleeping for 4 hours during boot-camp days. It was demanding both physically and mentally, but I wasn't alone in the journey. The instructors, TAs and classmates were all amazing. This boot-camp takes students from very different backgrounds, which I think is a unique advantage. I was able to see people applying data science tools to their own expertise brilliantly, fashion, marketing, IT, health care... It was very helpful for me who was looking to step outside of academia. The job assistance is good. There is networking, resume-editing and mock-interviews. Vivian also personally helps students tracking their job hunting status. I wasn't able to use lots of their services due to my personal situation, but for the one position I applied for I was able to impress the hiring manager with the machine learning knowledge and skills I acquired at NYCDSA and got an offer the same day.
  • I attended the Big Data with Hadoop and Spark course, hosted and led by NYC Data Science Academy. My objective was two-fold: first, to gain a deeper and practical understanding on emerging 'Big Data' technologies, more so than what academic publications or industry white papers currently provide; and, second, to familiarize myself with the skill set and experience to expect from the new generation statisticians, or Data Scientists. With a background in Business Intelligence, Architecture, Risk Management and Governance on Wall Street, I find that foundational skills remain the same: mathematics and statistics. However, with the commoditizing of data storage and massively parallel computing, Data Scientist today are capable of solving problems reserved for an exclusive few in decades past. The course did not cover configuration of the Hadoop environment, but thanks to the engaging and knowledgeable instructor, clues on challenges and potential pitfalls were generously shared. I highly recommend this course not only to professionals or recent graduates looking to hone data analysis skills, but to anyone with an interest or stake in Big Data.
  • This was a great class that I truly enjoyed attending every Saturday for 5 weeks. The class had a pretty steep learning curve but the slides and the homeworks did a good job of teaching the material. Our instructor, Derek, was an R guru and could answer any question we threw at him. I definitely plan to continue learning R and I can attribute my enthusiasm to having taken this class.
  • I attended NYCDSA 5-week course (5 full-time days, one per week) in 4Q16 as part of my preparation to start the same school bootcamp. This was a great introductory start to learn R due to the comprehensive syllabus and dedicated teacher effort. About the syllabus, you will learn Base R syntax and principal data structures identification and manipulation plus a bunch of other packages (e.g. DPLYR) that will make your life easier when treating data sets. The instructor was a Sr. Data Scientist that really gave us two sides: theoretical and hands-on day-to-day professional experience views. This was very helpful. I found that there're lots of courses out there but most of the times taught by recently-graduated teachers that haven't applied a lot of the syllabus to real-life professional situations. This for me was a plus. The only soft point of the course was that I would have liked to go more deeper into web scrapping, yet it's true this course name is 'data analysis and visualization in R' and not 'Web scrapping using R'. One advice only for prospect students: block your agendas during five weeks since you will need a lot of time to review the materials and deliver exercises, which after all it's not a bad thing as it makes you feel good as you feel you have learned a lot. Highly recommended.
  • This course was a masterpiece. Derek Darves the instructor, quickly brought us to competency with the R programming language. Then he expanded the course by introducing the packages used for analysis and visualization, progressing through introductory use to somewhat elegant and sophisticated programming challenges. Ultimately Derek brought us to a self-sufficiency level for continuing our R education. The course was a pleasure as Derek is clearly an R expert and aficionado weaving many practical tips and historical insights into the lectures. His programming experience, statistical insights and extensions of the course materials gave it a graduate level feel, while never ignoring the fundamental skills being taught. I highly recommend it.
  • The instructor, John Downs, was very knowledgeable and did an excellent job of providing an overview in the key areas of Python. After the five week class I went from knowing essentially nothing about Python to using it as one of my "go to" tools in which I am able to accomplish tasks at work on a daily basis.
  • I took the beginner level Python class with John Downs and really had a great experience. John is very knowledgeable about Python and programming in general, and was able to be helpful to students of all levels in the class. The exercises in class and the homework got our hands dirty with the language and the final project was a great way to create a real result by the end of the course. Overall it was challenging, but a valuable intro to a useful tool that was easier to approach with real-life sessions than self-study demos on my own. I'll definitely take classes with NYC Data Science Academy in the future and would recommend it to my friends.
  • I took Machine Learning with Python and Data Analysis with Python in the Spring. I found both course useful and informative. The courses have given me a comprehensive and yet in-depth introduction into Machine Learning and Python. And these skills turn out to be invaluable at work. Most importantly, Vivian is an excellent instructor. She is immensely helpful and supportive which makes the learning process quite enjoyable. Definitely recommend NYC Data Science Academy!
  • I took both Data Analysis and Machine Learning with Python with Vivian. I highly recommend these classes to anyone who wants to take their analytics skills beyond Excel, pivot tables, and averages and into more advanced predictive modeling methods. Luckily, a lot of the work has already been done for us by the developers who created pandas, matplotlib, statsmodels, and scikit-learn. I didn't know anything about these tools prior to taking this class. Vivian makes machine learning easy. At work I can now stand on the shoulders of Python's giants. Pretty cool. Extremely useful.
  • I have been taking classes at NYC data science academy, there is a reason I came back. I learned so much from both of the instructors I had. They really really do care about you and give you a lot of individual attention. You almost can't slack because they will be right there and push you to finish your problem sets. This is something you can't get just taking an on line class. I highly recommend anyone to take this class in person instead of on line.
  • As a novice coder, this class was a great way to learn how I can manipulate and analyze data in Python. Would recommend for anyone interested in learning how to use python and apply to daily work.
  • Great class. For only a 5 week class it is very comprehensive. Covers the basics and commonly used libraries used in python for data analysis as well has how to use them. Notebooks used in the class are a great go-resource after the class ends. Also a great community of data professionals and networking if you are thinking about a new gig.
  • It's important when learning anything to get the fundamentals right. If you build bad habits, it can become difficult to fix them later on, especially if you have also built many dependencies on those bad habits. This is why when I wanted to start learning about data science, I chose to take this course to help me make the right choices from the very beginning. I would say that I got exactly what I came for. Tony is a very good instructor. He is able to express complicated concepts in an understandable way, and I would definitely say that now I understand enough about the Python ecosystem that I could start learning on my own if I wanted.
  • ETL-Abinitio

    Excellent Trainer. Takes more care to explain each and every component till we understand. Sound Knowledge in the subject. Scenario based hands on training. Flexible timing and 1 to 1 coaching. Good materials. Industry Ready once we complete. More interactive training. Learned Abinitio and Unix very easily.
  • ETL-Abinitio

    Excellent knowledge in Abinitio ETL and data warehousing concepts. Looks like he has got deep exposure to both the topics!!!! Highly recommended.
  • ETL-Abinitio

    He has got a very good understanding of Abinitio ETL. The classes were really good and helped a lot to strengthen my roots in Abinitio tool and the technology. Only thing is that we could not do practicals because of the online course but the notes would definitely help in future.
  • ETL-Abinitio

    I am glad that I decided to choose V-Peracto for ETL- Abinitio training course. Wonderful learning experience and I like the way the class is organized and good support staff. V-Peracto providing quality learning experience at affordable price. Thanks to my tutor.
  • ETL-Abinitio

    Great learning experience with proficient trainers in ETL-Abinitio. Flexible timings with hands on experience with real time scenarios. Good value for the money paid and I got placed in multi-national company. Thank you.
  • ETL-Abinitio

    Trainer has in depth knowledge on the technology which was very prominent in the way he categorizes the topic for training. He can easily understand the level of students and train accordingly. Exercises which was given after each class was very helpful and challenging. Highly recommended
  • ETL-Abinitio

    Excellent teaching. I love the teacher. I'm in USA, trained with the help of teamviewer online tool. He is very patient and told course in more details, many tips used in real project, also answered my questions very quickly though training got to end. His lesson is easy understanding.
  • ETL-Abinitio

    I have attended the ETL Ab Initio training by Venkat Narayana.It was an awesome training.He has explained both basics and advanced topics with examples.I am currently working in Australia, the training has helped me to understand all new requirements and to implement those requirements.
  • This class was really enjoyable for me - it was a good way to get an introduction to a variety of very powerful Python libraries. Its certainly nowhere near as extensive as a full bootcamp, but if you're looking to be introduced to these concepts I couldn't recommend this more. I had Tony as an instructor and he was really helpful and did a great job of explaining concepts, and he took additional time to review homework solutions before class if we wanted.
  • This class is overall very helpful. It was a little heavier on the visualization part than I would have liked, but still good. There is a lot of material in a short timeframe, which is good overall, but it requires some time to work on and get through.
  • Python Data Visualization & Interactive Dashboards

    I really enjoyed learning with Art as a beginner in python. As an instructor, Art is very knowledgeable and well-organized to the learning structures for his students. He also remains approachable after class hours for additional questions or concerns. Programming is never easy and having someone like Art for his willingness and interests to go extra miles to help students meet those learning goals is much appreciated. If you are really interested in learning python, I recommend this class!
  • Python Data Visualization & Interactive Dashboards

    I m a physician learning Computer Sciences at Columbia University. As most of us know the field is vast and its quite impossible to learn all that is needed, required or wanted in a stipulated time period. So i seek help of private Tutors and i try various courses, online as well as in class in New York city. I was not expecting much from practical programming class in flatiron, the price was good which encouraged me to risk my time. The class was diverse and the teacher was talented, he was able to evoke interest in the subject and patiently answered every stupid question that i had. If you wish to learn Python, i' m sure Practical Programming class will be very helpful. Don't be shy to contact me if you need tips from a struggling learner!
  • Introduction to Structured Query Language (SQL) for Data Analytics

    The material covered in this course is great for beginners. It's the basics that all need to know. But my favorite part was the instructor/professor. He is a very nice guy who knows how to make every student feel comfortable participating in discussions and answering example questions. The quizzes and business problems are great for you to know if you understand the topics or not. I would recommend this course and instructor/professor for anyone who needs a start with SQL.
  • Introduction to Structured Query Language (SQL) for Data Analytics

    Excellent instructor. Very thorough in going over all the course material that was included for the class. Answered any questions on problems if you didn't understand something.

Discover the Best Live Online Data Science Classes

Now is an excellent time to study data science. Because more data continues to be created than ever before, data science is currently an in-demand profession. Over the next few years, an increase of more than 20% is expected each year in data generation. This means that data professionals will continue to be in-demand across professions and industries for years. Individuals who have data science training are compensated well for their work. These professionals typically make a six-figure income regardless of where they are employed. They also have a high earning potential and a range of job opportunities in sectors like healthcare, government, pharmaceuticals, manufacturing, telecommunications, financial services, and the automotive industry. Because Data Scientists study how key areas of an organization are performing such as sales or customer services, the evidence they collect through examining data can affect positive changes for their entire organization that can improve efficiency and reduce costs. For as long as data remains the driving force behind most industries, those who know how to fully leverage this information will continue to be in-demand by organizations of all sizes and types.

Best Live Online Data Science Classes & Schools

Enrolling in a live course is a great way to learn data science. Live online data science classes are available from many top educators around the world. These classes are taught in real-time with a live instructor. They require no commute and provide participants with relevant training in a range of data science skills and tools that are currently in-demand by employers. The following sections will briefly explore some live online class options so you can select the one most suited to your learning needs.

The Flatiron School—Data Science

The Flatiron School’s Data Science program is designed to help those studying data science connect with other passionate and dedicated learners. This program covers all the skills students will need to become well-rounded Data Scientists, from Python to machine learning. Those enrolled learn how to collect data, answer questions by applying statistical analysis to the data, and gather actionable insights from the information. Students also complete an advanced Portfolio Project as part of this program, allowing them to demonstrate their data science skills and technical proficiency when applying for jobs. In addition, participants work in groups of two for three weeks during this class to complete a large-scale machine learning and data science project. This exercise allows them to experience firsthand what it feels like to complete a substantial project.

Tuition for this program is $16,900. It takes students 15 weeks to complete this class. The cost of study includes weekly one-on-one sessions with a career coach and access to a robust network of employers. This course also comes with a money-back guarantee; students who do not receive a job offer within six months of completion receive a full tuition refund.

Although participants don’t have to have any prior data science experience to apply, this program progresses at a fast pace, and learners are expected to have at least a basic understanding of data science to be admitted to this program. To prepare for this program, students have access to a free introductory class that ensures those who enroll in the bootcamp will be prepared and able to keep up.

Noble Desktop—Data Science Certificate 

Noble Desktop’s Data Science Certificate provides instruction on a range of tools and skills needed to become a Data Scientist or Data Analyst. Coursework includes how to use Python to analyze data, create data visualizations, build machine learning models, and work with SQL to query databases. The Python portion of this certificate program teaches students the basics of this programming language such as how to analyze data using its main data science libraries. Students also become familiar with how to clean data so it’s ready for analysis, use Python to automate common tasks like formatting, updating, and aggregating data, and write database queries. Instruction is provided on how data can be used to create machine learning models and determine how they are performing. By course completion, students will know how to use Pandas to clean and balance data and use the scikit-learn library to tackle real-world problems. Learners will also be able to design dynamic data visualizations and dashboards, and deploy their work online using GitHub.

Tuition is $3,995. Flexible payment plans are available for all students. Those who wish to pay their tuition incrementally can finance the cost of study through an installment plan or a tuition financing plan with no interest. Noble also can provide documentation for employers who offer tuition reimbursement. In addition to 114 hours of hands-on live instruction, tuition includes setup assistance as well as one-on-one mentoring. Students can retake this certificate program for free for up to a year. All learners receive a verified digital certificate of completion when they graduate.

General Assembly—Python and Machine Learning Bootcamp

General Assembly currently offers a two-day Python and Machine Learning Bootcamp. Participants receive hands-on, real-world experience working with Python programming. Students learn the end-to-end data science process, which involves gathering data from various sources and working with large datasets. Those enrolled receive instruction on how to munge data so it’s ready for analysis, use machine learning algorithms to get the most from their data and create data visualizations that depict their findings.

This program takes two full days, or 14 hours, to complete. The cost of study is available by contacting the provider. This hands-on workshop is intended for professionals like Product Managers, Business Managers, Analysts, Mathematicians, and anyone else interested in learning Python programming. Students learn by completing many in-class exercises. All learners create their own library containing Python scripts, which will be useful even after the course is completed. Those enrolled should have a computer device with a text editor. A free version of Sublime Text can be downloaded. They also should install Anaconda on their device. This free package has many of the tools that will be used in class, as well as Python.

Practical Programming—Data Science Certificate

Data Science Certificate is currently offered from Practical Programming. This certificate program covers the programming skills you will need to perform different levels of data analysis and manipulate databases. Those enrolled receive instruction on a range of Python programming skills such as how to work with Pandas NumPy, and Matplotlib for data analysis, as well as how machine learning packages like scikit-learn can be used to generate predictive models based on data. Students become familiar with how to read and write complex queries. They also learn how to automate repetitive tasks like updating data using Python. Instruction is also provided on how to use join statements to combine the information in multiple tables, use linear regression to make predictions and work with stored procedures and subqueries. This certificate consists of four shorter classes: Python for Data Science Immersive, Python Machine Learning Immersive, Python for Automation, and SQL Bootcamp.

Tuition is $3,995. Flexible payment options are available that allow learners to pay for their study in installments. This program provides 114 hours of live instructor training, supplemental one-on-one mentoring sessions and the option of a free course retake for up to one year. Those who complete this certificate earn a verified digital certificate. This program is intended for those interested in pursuing entry-level Python engineering or data science roles.

NYC Data Science Academy—Data Science with Python: Data Analysis and Visualization

If you’d like to get started learning the role Python plays in analyzing and visualizing data, NYC Data Science Academy’s Data Science with Python: Data Analysis and Visualization is for you. This course is designed for those who want to take their basic programming skills further. Instruction is provided on how to use various Python data structures, as well as this language’s data visualization and analysis modules such as NumPy, Matplotlib, Seaborn, and Pandas. The first unit provides an overview of Python, including syntax basics and how to work with basic objects. Unit 2 offers learners a brief introduction to object-oriented programming and covers topics like running Python scripts, handling files, and working with processing strings. The third unit offers instruction on how Python can be used for scientific computation. Unit 4 focuses on data visualization.

Tuition is $1,590 for the upcoming class. Early bird tuition is available for $1,510 for those who enroll early for their studies. Coursework can be completed in approximately five weeks. As a prerequisite, students should be familiar with data structures like lists and dictionaries and basic types of data, including numeric and string. They also should have a basic understanding of for/while loops. Students enrolled in this program are evaluated on a pass/fail basis. Those who complete 85% of classes and 80% of homework are eligible for a completion certificate.

General Assembly—Data Science Course

Data Science Course, which is available from General Assembly, was created by data professionals and is geared toward other data professionals. By providing hands-on training with real-world projects, his class prepares participants to work with a range of data science tools. Those enrolled learn about exploratory data analysis, machine learning, data modeling, and Python programming. Instruction is provided on creating predictive models, synthesizing vast datasets, and sharing data findings with stakeholders through data stories. 

To prepare students for this course, 25 hours of self-paced online materials are provided to all learners. This content helps students revisit the fundamentals of applied math, statistics, and Python, as well as to have a common vocabulary they can use for collaboration with another learner once the course begins. Those who complete this course graduate with a capstone project that will get the attention of employers. This project demonstrates that students can apply machine learning to find a solution to a data problem and showcases their skills in creating a predictive model and technical documentation and presenting their work. 

This program costs $4,500 and takes 60 hours to complete. Tuition includes individualized instructor support both in class as well as during office hours. Graduates also become part of the global General Assembly alumni community, with nearly 100,000 members. They also have access to workshops and networking events to help students continue their education and professional development beyond the virtual classroom setting. 

Employer scholarships are available for those who qualify. These include partial or full tuition reimbursement from your employer. In addition, 0% interest loans are available, subject to eligibility. Students can also pay tuition in installment plans consisting of two, three, or four payments.

Data Science Dojo—Data Science Bootcamp

Data Science Dojo’s Data Science Bootcamp is available for those interested in acquiring practical and marketable data science skills. Participants in this bootcamp study various data science skills such as machine learning, data science, and programming concepts. A combination of lectures and real-world exercises are provided to help students get the most out of their studies. Instruction is provided on best data acquisition practices and how to acquire, process, clean, transform, and load data. Students devise hypotheses and evaluate their validity through data exploration and visualization. They also learn how engineering practices can be applied to extract the most essential data features, which are useful for creating models. Those enrolled become familiar with boxplots, scatterplots, histograms, and density plots.

This course can be completed in 16 weeks, with five hours/week of live online instruction.

Three tuition options are available. Students interested in the Dojo plan can enroll for $3,039. Tuition covers all instructor-led classwork. The Guru option is available for $3,199 and offers additional learning features such as six months of access to a learning platform and resources, tutorials for ongoing study, recordings of all sessions, access to daily office hours, and software subscriptions. The Sensei plan costs $4,500 and offers additional perks such as five hours of one-on-one mentoring with a Data Scientist and a mentored project. Interest-free loans are available for those who qualify, as are deferred payment programs that allow students to pay for tuition once they have completed their studies. Student loans are also available. All participants receive a verified certificate of completion when they graduate. 

BrainStation—Data Science Certificate

BrainStation’s Data Science Certificate provides foundational instruction on core data science skills and prepares students to perform end-to-end statistical analysis. The first unit of this certificate program teaches students basic Python skills for data science such as how to use this language to manipulate and analyze data and work with Pandas and NumPy libraries. Unit two covers data wrangling and cleaning techniques that help students structure and organize their data. The third unit focuses on data modeling and how statistical concepts can be used to inform decision-making. Unit four covers machine learning basics such as common techniques and algorithms.

This course is available in the live online format. It can also be completed in cities like New York, London, Miami, Toronto, Vancouver, or London. It takes eight sessions (approximately 30 hours) to complete. Tuition is $3,250. Several flexible payment plans and scholarships are available for those who are interested. Students can pay for their coursework in monthly installments. They can also qualify for scholarships from BrainStation or their employer. Because this is an intermediate-level course, as a prerequisite, those interested in enrolling should have prior experience working with Python programming, as well as a working knowledge of statistics. 

Clarusway—Data Science Course

Data Science Course, which is available from Clarusway, was created to teach students how to find insights contained in data, synthesize vast amounts of data, and create quantitative algorithms. This program provides IT leadership and data science training so graduates can apply for interdisciplinary jobs that draw from a range of skills. By the end of this program, participants will be able to locate key data science questions and gather the necessary data from a range of sources to explore these questions. They also will know how to organize these data, locate relevant information, and turn this information into viable business solutions that can be shared with stakeholders within an organization to affect change. This course covers a range of topics and skills, like how to work with Python, GitHub, CSS, Jira, Agile, HTML, Linux, and SQL. Learners also work with Tableau for data visualization and become familiar with natural language processing.

Tuition is $10,000 for those who pay upfront. Student loans are available starting at $250/month. A payment installment plan is also offered starting at $375/month/. This part-time program takes approximately seven months to complete. As a prerequisite, students should have familiarity with Linux, Git, Python, and the software development lifecycle.

Byte Academy—Intro to Data Science

Byte Academy offers Intro to Data Science for those interested in learning the basics of this in-demand field. This program closely examines machine learning and prepares participants to create their own machine learning model. Those enrolled begin with an overview of the field of data science, which covers basic machine learning and software engineering concepts. The goal of this class is to prepare students to write a machine learning model capable of accurately predicting handwritten digits. Students work with the MNIST digit recognition dataset to train their model. By course completion, those enrolled will have a functioning machine learning model to include in their professional portfolio and share with employers. This project teaches students to use Python machine learning libraries like Keras, NumPy, and Pandas to create a fully functional app.

This 35-hour program takes four weeks to complete and costs $1,000. As a prerequisite, students should complete Intro to Python. If they feel they already possess the required Python skills to succeed in this course, they can speak with an admissions officer about testing out of this class.

Industries That Use Data Science

Data science is one of the most in-demand skill sets you can have, regardless of the industry of employment. Those with a background in data science contribute to their organization in a range of ways. The following sections will briefly examine data science’s role in industries like telecommunication, tech, cybersecurity, higher education, and ecommerce.

Telecommunication

Telecommunication is the act of transmitting information electronically from one place to another. This information can be in many forms, like images, videos, data, text, or phone calls. Data science has many uses in this industry. It can be used to integrate remote computer systems into existing networks. Because of the vast amount of data, this industry creates each second from calls, network data, and customer information, those with a background in data science are needed to help organizations get the most out of this information. Data Scientists in this industry draw from a well-rounded repertoire of skills such as specific domain knowledge, to fully leverage data. 

Tech Startups

Data Scientists employed by tech startups must be able to perform various tasks. These professionals are hired to help tech startups optimize their data to experience fast growth and remain competitive in a fluctuating market. Because of the inherent risk involved with working in a startup, it’s essential for them to be able to have real numbers to support business plans. This can help reduce risk and help the startup maximize its ROI. Tech startups also rely on Data Scientists to spot previously unseen opportunities. These individuals can locate patterns and trends in datasets and any potentially problematic areas for the startup. In addition, Data Scientists can provide a more robust understanding of any profit-generating platforms that aren’t being fully utilized so their organization can continue to grow and increase profits.

Cybersecurity

In the first half of 2022, over 50 million people in the US fell victim to cybercrime. Because of the prevalence of cyberattacks affecting individuals, as well as organizations of all types and sizes, the need for cybersecurity professionals is greater than ever. Organizations hire them to mitigate current attacks, as well as to establish measures that can keep them safe from future attacks. Data Scientists who work in cybersecurity create models capable of understanding malicious activity patterns. These models can be trained to eventually predict future threats. The need for Data Scientists in cybersecurity remains high since the number of cyberattacks continues to grow, and these threats are becoming harder to detect. For this reason, many companies rely on Data Scientists to crack down on cybercriminals and ensure they can’t cause additional damage.

Ecommerce

In 2021, during the Covid-19 pandemic, more people began to shop online. During this time, online sales grew by nearly 10%. Although this rapid growth has slowed, online sales rates are expected to continue to grow. Online grocery shopping is one of the areas of ecommerce that continues to experience a significant shift. Those with a background in data science or data analytics are relied on by online retailers who sell a range of goods or products to help them make more informed pricing decisions. Historically, pricing decisions were made based on historical data such as previous sales trends. However, more ecommerce companies now see the value in using real-time data to establish price changes. Uber is one example; this company relies on the insights provided by data science to decide when to surge prices. Data Scientists also help with marketing efforts so online retailers can reach the largest audience possible and provide them with targeted marketing efforts.

Higher Education

Although it may not seem like an obvious place to find data science, academia relies heavily on the insights provided by big data. Data insights have applications in various areas of academia such as enrollment management. In addition, in higher education, many large universities have research centers, labs, or hospitals associated with their school. Each of these requires hiring individuals with a background in data analytics or data science to gather, manage, and analyze data.

Data Science Jobs & Salaries

Data science remains an in-demand profession. There are currently more than 10,000 job openings listed on Indeed for those with a background in data science. Data science is currently the sixth-best tech job in the US and is expected to be a popular profession over the course of the next decade. The projected growth rate for Data Scientists from 2021 to 2031 is 36%, which is much higher than the national average for other professions. The following sections will explore several popular job opportunities in data science and the salaries for these professions in various locations. Typically, higher pay rates correspond to larger cities, where the cost of living is greater.

Data Storyteller

Data storytelling is sometimes mistaken for data visualization. While these practices share some common components, they differ in important ways. Data storytelling involves much more than creating data visualizations and reports that reflect the insights from the data; it requires articulating a narrative that accurately depicts the data and expressing the core data findings in the form of an engaging narrative. Data Storytellers must have various skills to succeed in this role. These individuals must be creative individuals who can unearth a story from raw numbers. They also must be able to communicate clearly. On the technical side, Data Storytellers must be well-versed in data analysis. This profession requires focusing on one specific aspect of a vast amount of data. Data Storytellers then analyze how these data behave and infuse their own insights so they can create a story based on this information. The data story created should be interesting and accessible and provide insights that help those who don’t come from a technical background understand what the data strives to communicate. 

Although this is a relatively new profession, data storytelling is gaining popularity as more organizations see the potential benefits of creating stories to better explain data. On average, Data Storytellers earn $60,000 a year in the US. In Philadelphia, they make over $65,000 yearly. In Orlando, these professionals earn closer to $55,000 a year.

Statistician

Statisticians help their organizations tackle problems by applying statistical methods and models. To do so, they must gather and analyze data to communicate any insights they find with organizational stakeholders. This information is used in decision-making to address problems and prevent them from recurring. In the recent past, the Statistician’s role has changed. These professionals no longer only work in fields like academia or research; businesses of all sizes and types seek out Statisticians to help them get the most out of their data so they can make smarter decisions. These professionals are hired in many industries, like business, healthcare, government, environmental sciences, and physical sciences. 

The current salary for Statisticians in the US is $85,000. Philadelphia-based Statisticians make over $90,000 a year. In Orlando, they make closer to $80,000 annually.

Data Architect

Data Architects are tasked with ensuring data is formatted properly so it can be accessed and used by Data Scientists and Data analysts to improve the performance of the entire data pipeline. These professionals also create and implement new database systems based on specific business model requirements. Data Architects then maintain these systems, which involves ensuring they function properly. Their responsibilities also include serving as administrators in that they monitor the data and dictate who can view them, use them, and manipulate various sections.

Pay rates are competitive for Data Architects in the US; the average salary is more than $165,000. Those who work in Philadelphia earn $180,000 annually. Orlando-based Data Architects make close to $170,000 a year.

Database Administrator

An organization hires Database Administrators to ensure its databases perform as efficiently as possible. These professionals create systems that can safely store a range of data types such as customers’ financial information or shipping records. They also provide authorized users with access to any data they need and ensure it’s easy to retrieve. Database Administrators also create data backups and provide training and support to those who use the database. Often, Database Administrators work with Developers to find problems within a database. They then troubleshoot these issues so they can create and implement new features to address the concerns. Database Administrators are generally well-rounded professionals with technical training, as well as business skills, which helps them provide the necessary tech support to help their organization with its business needs.

Database Administrators currently make about $85,000 a year in the US. Those who work in Philadelphia earn close to $90,000 annually. Database Administrators in Orlando can expect a salary of approximately $85,000.

Data Engineer 

Data Engineers perform a range of data tasks. They design, create, and monitor data pipelines. These professionals draw from their knowledge of database management systems when administering, testing, and implementing computer databases. They also are tasked with coordinating any necessary changes to databases. This involves locating, researching, and resolving database capacity, scalability, or performance issues. Data Engineers evaluate ecosystems for business and ensure they’re ready for Data Scientists to run algorithms. These professionals are also involved with batch processing collected data and making sure its format matches stored data.

The current average pay in the US for a Data Engineer is $115,000 per year. In Orlando, these professionals earn in keeping with the national average of $115,000 a year. Pay rates are significantly higher in Philadelphia for Data Engineers and are nearly $135,000 annually.

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