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Data Science Courses NYC

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Explore the exciting world of data science with a wide range of classes in NYC. From introductory courses to advanced topics, learners can gain the skills and knowledge to analyze and interpret data, unlocking new career opportunities and becoming data-driven decision-makers.

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Data Science Certificate

Noble Desktop See all classes by this school @ 185 Madison Ave, New York, NY & 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 @ 185 Madison Ave, New York, NY & 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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Data Science & AI Certificate

Noble Desktop See all classes by this school @ 185 Madison Ave, New York, NY & 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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Python: Data Science & AI Machine Learning (High School)

NextGen Bootcamp See all classes by this school @ 185 Madison Ave, New York, NY

Learn the most powerful and versatile programming language this summer. High school students will dive into the world of Python, exploring data science and machine learning in this immersive two-week course.

(52) All levels 13 - 18 years old
$2,195

14 sessions

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Excel for Data Analytics

Noble Desktop See all classes by this school @ 185 Madison Ave, New York, NY & 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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Python Data Visualization & Interactive Dashboards

Noble Desktop See all classes by this school @ 185 Madison Ave, New York, NY & 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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Excel, Finance & Investing Summer Program (High School)

NextGen Bootcamp See all classes by this school @ 185 Madison Ave, New York, NY

Master Microsoft Excel, finance, and stock market investing in this intensive NYC course. Gain an advantage in college and internships with essential business skills. Join top instructors from Wharton Business School and NYU Stern.

(52) All levels 13 - 18 years old
$1,395

5 sessions

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Data Science Certificate

NYC Career Centers See all classes by this school @ 185 Madison Ave, New York, NY & 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 @ 185 Madison Ave, New York, NY & 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 NYC (High School)

NextGen Bootcamp See all classes by this school @ 185 Madison Ave, New York, NY

Dive into the world of finance, investing, and data science in NYC with a specialized summer program for high school students. Master Microsoft Excel, stock market concepts, and Python coding skills to gain a competitive edge in future career opportunities. Unlock the secrets of financial analysis and data manipulation in this interactive and comprehensive course.

(52) All levels 13 - 18 years old
$3,495

14 sessions

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SQL Bootcamp

Practical Programming See all classes by this school @ Live Online Webinar, New York, NY & 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 for Data Science Immersive

Practical Programming See all classes by this school @ Live Online Webinar, New York, NY & 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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Python Machine Learning Bootcamp

Noble Desktop See all classes by this school @ 185 Madison Ave, New York, NY & 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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Data Science Certificate

Practical Programming See all classes by this school @ Live Online Webinar, New York, NY & 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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Python Data Science & Machine Learning Bootcamp

Noble Desktop See all classes by this school @ 185 Madison Ave, New York, NY & 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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AI for Business with ChatGPT & Copilot

Noble Desktop See all classes by this school @ 185 Madison Ave, New York, NY & Virtually Online

Elevate your business acumen with the "AI for Business Bootcamp" at Noble Desktop. This course offers hands-on experience with generative AI tools like ChatGPT to enhance content creation, task automation, and data analysis. Discover practical applications for AI in workplace productivity, from streamlining communication to optimizing workflows. Gain the skills to drive innovation and efficiency in your organization.

(441) All levels 18 and older
$549

2 sessions

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Python for Automation

Practical Programming See all classes by this school @ Live Online Webinar, New York, NY & 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

SQL Bootcamp

Noble Desktop See all classes by this school @ 185 Madison Ave, New York, NY & Virtually Online

Master the art of turning raw data into actionable insights with SQL queries. This hands-on course will teach you how to filter, group, and join data, as well as use advanced techniques like subqueries and aggregate functions. Gain the skills to excel in any data-driven industry and make more informed decisions.

(441) All levels 18 and older
$975

3 sessions

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Python Immersive

Practical Programming See all classes by this school @ Live Online Webinar, New York, NY & 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 Machine Learning Bootcamp

NYIM Training See all classes by this school @ 185 Madison Ave, New York, NY & Virtually Online

Master the in-demand skill of machine learning and learn how to create algorithms that can independently learn patterns and make decisions in this hands-on bootcamp.

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

10 sessions

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Reviews for Data Science Courses in NYC

Data Science Courses in NYC are rated 4.4 stars based on 649 verified reviews from actual CourseHorse.com purchasers.

  • Great class! The content was well organized and the instructor was excellent. He was engaging, knew the material very well and was able to adjust to the various levels of ability of the students! Would definitely recommend!
  • Made great connections and had a great experience, all while being extremely well-informed on the subject that my instructor taught.
  • The class gives a firm understanding of the basics of Excel while giving the student real-world application in finance.
  • The class was more advanced than I expected, and I was pleasantly surprised by the amount of information I learned. The instructors were very knowledgeable and explained concepts well.
  • The teachers did an excellent job teaching Excel and gave the students ways to handle realistic scenarios and data samples to make what we learned extremely practical.
  • Great introduction to Python/coding/data science. This was my first time coding and I learned a lot. If you want to learn a ton and have fun while doing it, this is the place for you!
  • Great course, you learn a lot in a short time. The instructor was good at explaining how different things in Python work and answered questions well.
  • As someone completely new to the world of computer science, this course has laid out an easy-to-follow path for me while also allowing me to learn so much in just 15 days.
  • We covered something new every day, which made me feel that I was exploring a lot about Python.
  • It's a great class for coding beginners who want to learn the basics of Python.
  • It is a fast-paced program where the teachers do a great job of making sure everybody is keeping up. The projects and assignments were challenging and interesting as well. The only con for me was the age gap between students but it wasn't a big problem.
  • The course was a great experience. I learned more then I ever have in this program. The teachers were extremely nice and always willing to help out! The course materials were clearly well-prepared and the speed of the course was perfect!
  • Very thorough material and hands-on experience. Everyone cares about you and you can ask as many questions as you like. Better than a regular class.
  • This class really helped to improve my programming skills and knowledge! It covers a good span of topics ranging from vanilla Python programming to machine learning.
  • Data Visualization and Intro to Tableau

    Very professional, very pertinent, excellent presentation. Very useful to put into practice immediately. Thank you. Vesna
  • Very instructive course. Definitely worthwhile if you are trying to learn Python. The teacher was engaging and was able to cater to different levels of expertise among the attendees.
  • I started learning python on an online platform almost a year ago and felt that I had completely players like plateaued. I loved the Python immersive course and was able to learn much more in a week than I had on my own over the span of around 8 months. I now I feel fully confident in my ability to continue my python learning independently and I know where to turn when I'm ready to enroll in my next programming course.
  • Python and Machine Learning Bootcamp Series

    Jonathan was great. He is a patient and caring teacher. He really knows the material and it shows. The class got me back on track and I feel ready to move forward with my goals.
  • Artificial Intelligence - Strategies and Tactics

    Hod’s ability to explain the current AI trends, applications and utilization for businesses is absolutely inspiring. He’s a truly an invaluable source of technical and real life knowledge that is always willing to be of assistance even after the course. Highly recommend!
  • Artificial Intelligence - Strategies and Tactics

    I attended the class with approximately 40 business owners of large enterprise organizations as part of our continuing education series for our group. This class was the most well received class of the three years and approximately 20 classes we have had. The instructor - Professor Lipson - is the perfect combination of academic and real world relevance. Put simply the class was absolutely captivating! Any time spent learning from or listening to Professor Lipson will be time well spent!
  • This class had a great pace, good detail, and gave very practical and usable knowledge and skill. The instructor,Tim was attentive to all in the class and provided the curriculum to the class at the right pace. I plan to take the next level of this course and the machine learning class too. Ed F
  • Python Analytics Programming Class 101 NYC (Excel VBA)

    Very experienced instructor. Really liked their 1 on 1 approach to solving problems.
  • Python Analytics Programming Class 101 NYC (Excel VBA)

    Great Instructor. Their non-traditional approach to hands-on training was great, learned a lot of techniques and methodologies that can be applied to real-time situations.
  • Great class. Great instructor perfect for beginners.
  • Python Analytics Programming Class 101 NYC (Excel VBA)

    Good class. Thanks Joshi
  • Python Analytics Programming Class 101 NYC (Excel VBA)

    Good class, Joshi was super-cool very nice instructor
  • I loved the class a lot because of the fact that it was a week and able to compress all that information into it. I also liked the 10AM start, not too early. The 5pm end was a little late for my particular week that week, since I had things to do for about 3 days of the week and had to leave early. However, any week-long class will present that problem with trying to fit errands before or after the class. The teacher was very fast and he could type as fast as he could talk. I tried to keep up and coded along with him as he presented, which really helped with the hands on and understanding being able to actually see it run in front of me. This type of hands on also keeps me engaged versus just sitting there watching someone lecture. Sometimes I couldn't quite keep up, but all is good, I still got the main points and lots of information in a short time. The exercises were also good practice, but with me, it takes time and experience to be able to rattle off code with intuitive understanding, so I'm not worried about that yet, since with practice, I know it becomes second nature. Overall, I like the way Practical Programming teaches, and I'm thinking of taking more classes from there.
  • Matt’s material was thorough and he took the time to make sure everyone was fully grasping the material
  • Awesome class! The instructor is very patient and helping you debug all kinds of problems and answering all kinds of questions.
  • Python Programming Class 101 NYC for Beginners was a good class. Python coding training in NYC is the best at EBS. Am hoping to see other sessions on Data Science. Python training in NYC especially the one with small group (two or three) are hard to find. It is always a good idea to do some online udemy courses by Joshi who is the instructor before coming.
  • Python 101 and SQL 101 classes have been good at EBS. The good idea is these programming classes are very small group as compared to others in NYC which has bigger group. Python programming is not hard to learn if we are persistent and patience and do the HW. Am hoping to learn more data analytics and data science and looking for other options. Data Analytics in Python Pandas is something that I am looking forward.
  • I have taken the Python intermediate course with them. Their instructors and assistants are awesome, they helped me build my web project based on my requirements. They have also provided me with a program completion certificate. I will definitely come back to them and refer my friends.
  • Learned a lot........ thanks a lot. Its much helpful and started looking for more opportunities. Highly Recomend !!
  • It was nice class, small group of 2. Very personalized. I was able to do things slowly and was able to my questions resolved immediately. As compared to other classes, this class is for max 2 or 3 which make it very easy to slow things down. I am new to programming so sometimes I feel lost in the big classrooms.
  • Amazing Class, nice instructor. The good part about the class is that the instructor also introduces slack, zoom, GitHub, udemy for continuous learning. I was able to get my questions answered in class also on slack from colleagues. Good use of tech.
  • Nigel was a great instructor and made the material fun and easy to understand. Highly recommend!
  • Nigel was a great instructor. I feel like I have a good basic foundation for SQL after this class.
  • Art is a great teacher. Highly recommend.
  • Nigel is a great instructor! He doesn't use coding jargon and breaks down every step. His class provides the opportunity to work hands-on with SQL and practice both together as a group and independently. If you're looking for a no-fuss, straightforward class to learn SQL, this is it.
  • These weren’t the days. It had gotten rescheduled a couple of times. I’ve taken only one session and I loved it . I instructor was very knowledgeable and he was good at teaching . I’m looking forward to the next two classes.
  • I took the SQL Bootcamp one day crash course and learned a lot in a day! Nigel is very sharp, well versed in the subject and great at teaching it in a precise way that makes it stick! I highly recommend this course to anyone looking to learn SQL in a short period of time.
  • Great class. Very informative. Highly recommended!
  • The instructor was very knowledgeable and interactive. I really appreciated the way he made sure each student understood the concepts discussed that night!
  • great teacher
  • I loved Art! He’s super patient and answers all questions! I recommend this class for all python beginners!! I had no knowledge of python prior to this class
  • Nigel was a great teacher! He explained SQL concepts well and infused humor into the class. On my part, the basics of SQL was easy to follow, but wished we had more time to practice and learn joining of tables.
  • Very informative class, interesting exercises, very well structured!
  • The instructor ‘Art’ taught well and he was very patient in clarifying each student’s doubts. I understood all concepts well. The class is meant for absolute beginners who have no prior programming experience.
  • Data Visualization and Intro to Tableau

    detailed, well-explained!
  • Really enjoyed the class. Tim was knowledgeable and courteous. There is obviously a need to keep working on the concepts introduced to solidify your understanding, but that’s on you.

Discover the Best Data Science Classes in NYC

Data science is a field that draws from a range of skills such as mathematics, computer programming, statistics, machine learning, and domain expertise, to help retrieve valuable insights from data. As more organizations realize the importance of data, they seek Data Scientists to help them get the most out of their data to remain competitive. Currently, Data Scientists are in high demand across industries and locations. This field is projected to grow 36% by 2031, which is significantly faster than other US professions. Because of the important role Data Scientists play within their organization, these professionals are sought after by many employers, which makes data science an excellent career choice. Those with data science training can expect to earn a competitive salary of more than $100,000 a year in the US, which is another reason why this remains a popular profession. Data science skills provide individuals with access to a range of career opportunities such as Machine Learning Engineer, Business Intelligence Analyst, Data Architect, Database Administrator, and Data Engineer. The need for qualified Data Scientists is likely to grow as more companies integrate new data environments into operations.

Best Data Science Classes & Schools in NYC

New York City is a great place to study data science. If you’re looking for data science classes in New York City, many top educators have local offerings. The following sections will highlight some of the classes currently available in NYC, as well as the content and cost of study for each program.

The Flatiron School—Data Science Bootcamp

Data Science Bootcamp is available in New York City from The Flatiron School. This program covers a range of data science skills such as machine learning and Python programming. Instruction is provided on statistical analysis, software engineering, data collection, and data analysis.

Coursework takes 15 weeks to complete and costs $16,900. Tuition includes career services like access to a robust network of employers, weekly one-on-one sessions with a career coach, and a job search framework. This program is open to learners at all levels. No prior data science experience is required. As a prerequisite, participants are expected to have a basic understanding of data science. A free introductory-level course is provided to all who enroll, which should be completed ahead of the bootcamp to ensure that learners are prepared for the first day of class.

This bootcamp comes with a money-back guarantee; those who do not receive a job offer within six months of completing this program get their money back. Participants leave this program having completed an advanced portfolio project that showcases their creativity and technical knowledge to employers. This final project takes three weeks to complete and combines machine learning and data science skills. 

Noble Desktop—Data Science Certificate 

Data Science Certificate, available from Noble Desktop, covers various skills and tools necessary to pursue a career in data science or data analytics. Those enrolled in this hands-on program receive instruction on topics like how to use SQL to query databases, work with Python for data analysis, create stunning data visualizations, and create machine learning models. Basic Python programming skills are taught such as how to work with Python’s main data science libraries for data analysis, as well as how Python can be used to automate repetitive tasks like writing database queries, formatting, and updating and aggregating data. By course completion, students will know how to use data to create machine learning models and evaluate their performance. Instruction is also provided on using Pandas to clean and balance data and how the scikit-learn library can manage real-world data problems. Those enrolled create engaging data visualizations and dashboards and learn how to deploy work online with GitHub.

The cost of study is $3,995. Tuition includes 114 hours of live, instructor-led instruction, as well as setup assistance and one-on-one mentoring. Noble offers flexible payment plans. Students interested in paying tuition incrementally can finance studies using an installment payment plan or with tuition financing with no interest. Documentation can also be sent to employers who provide tuition reimbursement. This certificate program can be taken again for free for up to one year if students wish to revisit data science concepts. A verified digital certificate of completion is given to all program graduates. This program is available in NYC as well as in the live online format. 

Practical Programming—Python Developer Immersive

Python Developer Immersive, available from Practical Programming, is an immersive course that teaches students the skills they need to pursue a career as a Python Developer. Those enrolled learn to work with Developer tools like SQL and Git, as well as Python for software development using Django REST and Django. The first portion of this class covers core Python features, like dictionaries, lexical syntax, sorting algorithms, and custom functions. Participants work with object-oriented programming, APIs, and SQL in the second week. In week 3, learners progress into Django and its applications for back-end web programming. Instruction is provided on querying models, task automation, and URL dispatchers. Participants then progress into Django REST and learn to use authentication, images, and API endpoints. The last week of instruction provides students with the opportunity to complete an independent project guided by the instructor. Lectures are also offered on career development such as resume support and interview prep.

Tuition is $3,995. This includes access to supplemental data science materials and the option of a free course retake for up to one year. This program takes 15 full-day sessions to complete. As a prerequisite to study, students should have basic CSS knowledge and be able to code with HTML. Graduates of this program will have the skill set needed to apply to positions like Software Engineer, Python Developer, and Back-end Developer. Those who successfully complete this program are given a certificate of completion. 

Digital Workshop Center—Data Science Certificate Program

Data Science Certificate Program is available from Digital Workshop Center for those interested in studying data science in the interactive virtual setting. Those enrolled learn how to organize and clean data, spot key data features, and plot data. They become familiar with R software and how to use a basic linear regression model. Instruction is provided on both predictive and descriptive statistics, automating repetitive tasks, machine learning, creating automated reports, and applying statistics to practical business tasks.

All learners have the option of completing a real-world data science capstone project as part of additional one-on-one portfolio creation. Tuition includes one-on-one mentoring to supplement classroom training in which they work closely with a career coach to provide professional development. This includes help with resume writing and workshops on searching for a job in data science. Students also receive a month of support following the end of class. All learners can retake this class for free for up to one year. 

As a prerequisite, students should be familiar with foundational programming concepts like functions, data types, and variables. In addition, they should have intermediate-level Excel knowledge and be familiar with PivotTables and PivotCharts. It is also recommended that students who wish to enroll have experience with how programming can be applied in the business environment. Tuition is $5,995. This fee includes reference packets and textbooks, downloadable material including examples, and a certificate of completion. It takes most learners approximately 3-4 months to finish this program.

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

Data Science with R: Data Analysis and Visualization is available from NYC Data Science Academy for those interested in working with the R programming language. This introductory-level class teaches students core R concepts and skills such as loading, saving, and transforming data. Participants receive instruction on writing functions, fitting data into basic statistical models, and creating data visualizations like graphs. Not only does this course provide a theoretical framework that covers the entire data analysis process, but it also helps students acquire the practical skills necessary to analyze and visualize data. By course completion, those enrolled will be familiar with processing, transforming, and analyzing different kinds of data, creating advanced data visualizations and reports, and documenting their coding process.

This program takes 35 hours to complete and costs $2,190. Early-bird registration is available for those who enroll early for this course and is offered at a discounted price of $2,080. Any tuition spent on part-time NYC Data Science Academy classes over the past nine months can be applied toward this course. All students who successfully complete this program earn a certificate. Students should have a basic understanding of computer programming and know about computer components as a prerequisite to study.

BrainStation—Data Science Certificate

Data Science Certificate, which is available from BrainStation, teaches students a range of data science skills needed for end-to-end statistical analysis. This program is broken into separate units. The first covers fundamental Python programming skills, like how it can be used for data manipulation and analysis. Instruction is also offered on Pandas and NumPy libraries. In unit two, students acquire techniques for cleaning and wrangling data. Unit three pertains to data modeling and also teaches students how to use statistical concepts in the decision-making process. The fourth unit covers common techniques and algorithms used in machine learning. 

Students can take this class in-person in NYC or study live online. The certificate can be completed in 30 hours and costs $3,250. Scholarships and flexible payment plans are available for interested students. Coursework can also be paid for in monthly installments. This intermediate-level class has two prerequisites: students should be familiar with basic statistical concepts and have experience with Python programming.

Byte Academy—Python Bootcamp

Python Bootcamp, which is provided by Byte Academy, is available to those interested in pursuing a career as a Data Scientist. This bootcamp commences with an overview of Python basics, as well as fundamental computer science concepts. Participants in this program learn about various data structures, data cleaning, and object-oriented programming. More advanced instruction is also provided on neural networks and supervised and unsupervised machine learning algorithms. In addition to studying Python code, which is the standard language used in data science, students also learn how to use SQL to interact with databases. Coursework also covers mathematical concepts like linear algebra, calculus, and statistics, which can be applied to machine learning. Students also learn how to create engaging data visualizations. At the end of this class, those enrolled complete a capstone project they can include in their professional portfolio.

This program costs $14,950. It takes approximately 14 weeks to complete this course. Students do not have to pay tuition until they find a job. Financing options are also available.

NYC Industries That Use Data Science

New York City is considered by many to be the economic capital of the world. It’s also the biggest regional urban economy in the US. Many companies from around the country and world have their headquarters or major operation centers in NYC. Employers have access to large office complexes and a workforce of millions. The following sections will explore NYC’s main industries and the role data science plays in them.

Publishing & Journalism

New York City is home to some of the country’s most well-respected and widely read newspapers and magazines such as The New York Times, TIME, Reader’s Digest, and The New Yorker.In addition, more than 120 publishing houses are located in the Big Apple such as Penguin Random House, HarperCollins, Macmillan Publishers, and Simon & Schuster. As new, integrated digital media types become more prevalent in journalism and publishing, professionals who work in these fields are seeing their jobs evolve. Data journalism is becoming a more common way to deliver news. NYC-based Data Journalists gather, analyze, and filter large amounts of data to find insights that can be used in their stories. The insights they uncover can be used to enrich stories and add factual support to them.

Healthcare

One of NYC’s largest industries is healthcare. Approximately one-third of the hospitals in New York are based in NYC. This city employs more than 800,000 healthcare workers. It’s also home to the country’s largest public healthcare system. NYC’s healthcare industry is largely focused on medical services and biomedical research. Medical institutions in this city receive substantial funding from the National Institute of Health. Over 60,000 Physicians live and work in NYC, and 130 Nobel Laureates are involved with medical institutions there. People travel from around the globe for world-class healthcare in NYC.

Data plays an integral role in healthcare. Almost one-third of the data volume in the world pertains to healthcare data, like clinical trial information, e-health records, and disease registries. Because Data Scientists can help organizations get the most out of this data, they’re in-demand in the healthcare industry in NYC. Data Scientists who work in healthcare perform a range of tasks such as finding anomalies in patient data, performing predictive testing, and helping to design wearable devices.

Information Technology

In addition to being a hub for world-class healthcare, New York City is also the country’s fastest-growing tech hub. Nearly 300,000 people are employed in tech-related careers in NYC. With more than 7,500 tech firms, the city is second only to Silicon Valley for tech-related careers and innovations. Data science is a branch of IT in which algorithms, processes, and scientific methods are applied to structured, semi-structured, and unstructured data. These data findings can then be used by IT professionals to help with decision-making and planning. Data Scientists who work at a tech startup optimize data to ensure their organization can continue to grow and expand so they remain competitive. They also help startups get the most return on their investments and apply real numbers to their business plans to mitigate risk. Data Scientists identify trends and patterns in datasets and find potentially problematic areas the startup may wish to focus on. 

Finance

NYC is considered the world’s financial capital. It’s home to Wall Street, the New York Stock Exchange and NASDAQ, as well as many financial services and banks. World-renowned banks like Merrill Lynch, Bank of the United States, Bany of New York Mellon, and Bank of America are all based in NYC. The finance sector in this city employs more than 330,000 people. In the past few years, the field of finance has seen a significant increase in the amount of data being generated that must be analyzed so it can be fully leveraged. Those who work in finance turn to those with a background in data science to optimize customer data so they can find actionable insights. Data Scientists in finance use AI and other tools to provide their institution with suggestions to improve performance, maximize efficiency, and provide better services to customers or clients. Data science has many financial applications such as fraud detection, lifetime value prediction, algorithmic trading, lending appraisal management, and customer segmentation. 

Retail

New York City is one of the most popular shopping destinations in the world. The retail sector plays a huge role in this city’s economy and comprises a range of businesses, from corner grocers to world-famous department stores. Both residents and tourists flock to NYC to find designer clothing and explore the newest fashion trends. To stay competitive in a volatile economy, NYC-based retail providers turn to Data Scientists to offer insights on which products and services their customers are most likely to buy and how they can best provide them. Data Scientists also can help those in retail reduce costs, improve production, and help customers receive the best products possible.

Data Science Jobs & Salaries in NYC

The following sections will explore several available data science jobs in NYC and how their salaries compare to the national average.

Machine Learning Scientist

Machine Learning Scientists work to create and implement adaptive algorithms to support AI systems. These professionals work closely with Data Engineers, Data Scientists, and those specializing in algorithms to design autonomous AI software. Machine Learning Scientists also perform tests to ensure their software yields accurate predictions. These professionals spend a significant amount of time researching to find new ways to manipulate data so they can continue to create new algorithms. Often, Machine Learning Scientists are employed in the academic sector.

Machine Learning Engineers in the US earn a yearly salary of close to $135,000. In New York City, these professionals make $130,000 yearly.

Business Intelligence Developer

Business Intelligence (BI) Developers are involved with creating strategies that help their organization quickly locate key information it needs to make business decisions. To help uncover needed insights, these professionals work with a range of BI and data science tools and techniques. Data analytics and business analytics help those in BI find pertinent information in large datasets, as well as draw conclusions based on it. Data Scientists look at the specifics of the data and apply predictive analytics and advanced statistics to locate existing patterns and forecast those that may emerge.

In the US, BI Developers earn an average salary of $105,000. Those employed in New York City make over $110,000 annjally.

Financial Analyst

Financial Analysts are hired by insurance companies, pension funds, banks, and other businesses to advise on how best to spend money to maximize profit. These professionals also evaluate how investments like bonds and stocks are performing and make suggestions to yield greater returns on investments. Financial Analysts regularly handle financial data to locate important trends. These data also help them make predictions that can drive future investment decisions. The average pay rate for a Financial Analyst in the US IS $75,000. NYC-based Financial Analysts earn over $80,000 a year.

Data Analyst

Data Analysts gather, clean, and interpret datasets to solve problems facing their organization or find answers to questions. These professionals are employed in many industries, from government to healthcare to finance. The data analytics process involves finding insights from data that can be used to drive the decision-making process within an organization. Typically, this involves five phases: identifying the data that will be analyzed, collecting it, cleaning it to prepare it for analysis, analyzing it, and interpreting the results. The fields of data science and data analytics often overlap since many tools and skills are common to both job titles such as Python, SQL, Excel, and Power BI. The current average pay for a Data Analyst in the US is $70,000 a year. Those who work in NYC make over $80,000 yearly.

Data Engineer 

Data Engineers are involved with creating and monitoring data pipelines. They rely on their expertise in database management systems to administer, test, and implement databases. Data Engineers also coordinate changes that must be made to databases. This requires locating, researching, and fixing issues that affect scalability, database capacity, or performance. These professionals also study business ecosystems to make sure they’re ready for Data Scientists to run algorithms on. 

The average salary in the US for a Data Engineer is $115,000. In NYC, they earn a salary of $120,000.

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