Data Science is unfortunately unavailable

Thankfully we have 3 other Tech Classes for you to choose from. Check our top choices below or see all classes for more options.

Questions about this class?
Get help now from a knowledge expert!
Course Details
Start Date:

This class isn't on the schedule at the moment, but save it to your Wish List to find out when it comes back!
If you're enrolled in an upcoming date, this simply means that date has now sold out.

Virtual Classroom
Class Level: All levels
Age Requirements: 18 and older
Average Class Size: 15

What you'll learn in this data science course:

Launch your career as a data scientist

At Flatiron School, we teach today’s in-demand tech skills through our dynamic, immersive courses taught by experienced, passionate industry professionals online and on WeWork campuses around the world. But we don’t stop there — we pair an industry-leading curriculum with dedicated Career Services professionals who are committed to helping you find a job you love.

Curated Community

We’ve been building communities of learners since 2012. Build your network as well as your knowledge with a diverse, supportive group of peers committed to growth and change.

Defer Your Tuition

Income Share Agreements (ISAs) are a form of deferred tuition, allowing students to focus on learning — and not on financing. With an ISA, following initial deposit, you pay nothing toward your tuition until after you’ve left the program and are earning at least the minimum income — regardless of job type or industry.

Money-Back Guarantee

Change careers with confidence thanks to our Money-Back Guarantee. Work with a Career Coach and follow our proven-job search framework, and get a job within 6 months, or your money back.

What you'll learn: data science & machine learning

From Python to Machine Learning, our 15-week data science training program gives you the breadth and depth needed to become a well-rounded data scientist. You’ll  also leave with an understanding of how to discover new techniques as your career progresses.

Every 3 weeks you’ll be introduced to a new module that builds off the learnings of the previous section while allowing you enough time to dive into each area for a thorough understanding of the subject matter.

Prework Modules

The Data Science program moves quickly and our passionate students embrace that challenge. While no experience is necessary to apply, we require you to demonstrate some data science knowledge prior to getting admitted, then complete a prework course before Day 1. To help you prepare for our bootcamp, we provide a free introductory course. This prework ensures you come in prepared and are able to keep pace with the class.

Introduction to Data with Python and SQL
Our first module introduces the fundamentals of Python for data science. You’ll learn basic Python programming, how to use Jupyter Notebooks, and will be familiarized with popular Python libraries that are used in data science, such as Pandas and NumPy. 
Additionally, you’ll learn how to use Git and Github as a collaborative version control tool. To organize your data, you’ll learn about data structures, relational databases, ways to retrieve data, and the fundamentals of SQL for data querying for structured databases. Furthermore, you’ll learn how to access data from various sources using APls, as well as perform Web Scraping.
Finally, we’ll conclude with a heavy focus on visualizations as a way to go from data to insights. 
At the end of this module, students will use their newly learned skills to collect, organize and visualize data, with the goal to provide actionable insights!
Module 1 Topics
  • Variables
  • Booleans and Conditionals
  • Lists
  • Dictionaries
  • Looping
  • Functions
  • Data Structures
  • Data Cleaning
  • Pandas
  • NumPy
  • Matplotlib/Seaborn for Data Visualization
  • Git/Github
  • SQL
  • Accessing Data Through APIs
  • Web Scraping
Statistics, A/B Testing, and Linear Regression
Having learned how to gather and explore data with Python and SQL you can now go deeper into analyzing that information with statistics. In this module, you’ll learn about the fundamentals of probability theory, where you will learn about probability principles such as combinations and permutations. You will go on and learn about statistical distributions and how to create samples when distributions are known. By the end of this module, you will be able to apply this knowledge by running A/B tests. Additionally, you’ll learn how to build your first (and important) data science model: a linear regression model.
Module 2 Topics
  • Combinatorics
  • Probability Theory
  • Statistical Distributions
  • Bayes Theorem
  • Sampling Methods
  • Hypothesis Testing
  • A/B Testing
  • Linear Regression
  • Model Evaluation
Machine Learning

Module 3 is all about machine learning, with a heavy focus on supervised learning. To start, you will go a little deeper into regression analysis, learning about extensions to linear regression, and a new form of regression: logistic regression. In building regression models, students will learn about penalization terms, preventing overfitting through regularization and using cross validation to validate regression model.

Next, you’ll learn how to build and implement the most important machine learning techniques. You’ll learn about classification algorithms such as Support Vector Machines and Decision Trees. Additionally, you’ll learn how to build even more robust classifiers using ensemble methods such as Bagged and Boosted Trees, and Random Forests.

Module 3 Topics

  • Linear Algebra
  • Logistic Regression
  • Maximum Likelihood Estimation
  • Optimization Cost Function
  • Gradient Descent
  • K Nearest Neighbors
  • Decision Trees
  • Ensemble methods
  • Pipeline Building
  • Hyperparameter Tuning
  • Grid Search
  • Scikit-Learn

Big Data, Deep Learning, and Natural Language Processing
After a full module on supervised learning, this  module focuses on a variety of advanced Data Science techniques. You will start with learning about unsupervised learning techniques such as clustering techniques and dimensionality reduction techniques. Next, you will be introduced to threading and multiprocessing to be able to work with big data.  In doing so, you’ll learn about PySpark and AWS, and how to use those tools to build a recommendation system. Next, you will get an in-depth overview of deep learning techniques, learning about densely connected neural networks, enabling high-performing classification performance. Next, students will learn how to use regular expressions in Python, and how to manage string values, analyze text and perform sentiment analysis.
Module 4 Topics

  • Dimensionality Reduction
  • Clustering
  • Time Series Analysis
  • Neural Networks
  • Big Data
  • Natural Language Processing
  • Text Vectorization
  • Natural Language Toolkit
  • Regular Expressions
  • Word2Vec
  • Text Classification
  • Recommendation Systems

Data Science Advanced Project

In our final project, you’ll work individually to create a large-scale data science and machine learning project. This final project provides an in-depth opportunity for you to demonstrate your learning accomplishments and get a feel for what working on a large-scale data science project is really like. 

You and your fellow students will each pitch three different ideas and then decide on your final project with your instructors. Instructors advise on projects based on difficulty and feasibility given the course’s time constraints. At the end of the project, you’ll receive a grade based on various factors.

Upon project completion, you’ll know how to construct a project that gathers and builds statistical or machine learning models to deliver insights and communicate findings through data visualisation and storytelling techniques.

Module 5 Topics

  • Final Project

Still have questions? Ask the community.

Refund Policy
Flatiron has a strict refund policy due to the high costs of hardware, software, facilities and staff resources. A non-refundable, non-transferable 25% of tuition is required per course, per participant.

Payments, less the non-refundable amount, are refundable until 4 weeks (31 days) prior to the start of the confirmed course start date.

No refund will be issued for cancellations or withdrawals within the 31 days of the start of the confirmed course start date.

A $35 cancellation fee will be applied to all refunds.
Start Dates (0)

This class isn't on the schedule at the moment, but save it to your Wish List to find out when it comes back!

Benefits of Booking Through CourseHorse

Booking is safe. When you book with us your details are protected by a secure connection.
Lowest price guaranteed. Classes on CourseHorse are never marked up.
This class will earn you 169000 points. Points give you money off your next class!
Questions about this class?
Get help now from a knowledge expert!
Questions & Answers (0)

Get quick answers from CourseHorse and past students.

Reviews of Classes at The Flatiron School (2)

School: The Flatiron School

The Flatiron School

The Flatiron School is a school for passionate people who want to love what they do. As an intensive school for those who love to create, the goal is to learn build awesome things with code. 

The adult programs prepare students with little technical experience to build web and mobile applications...

Read more about The Flatiron School

CourseHorse Approved

This school has been carefully vetted by CourseHorse and is a verified DC educator.

Want to take this class?

Save to Wish List
Booking this class for a group? Find great private group events here

3 Top Choices

Photoshop For Photographers

at Capital Photography Center - Downtown, Washington, D.C. 1616 H St NW, Washington, District of Columbia 20006

Although Photoshop is powerful enough for the pros, it offers many options and opportunities for the digital enthusiast. Join Corey Hilz for a full day of hands on Photoshop training geared towards the new or limited experience Photoshop user. This class focuses on the features of Photoshop that are useful for photographers and you'll learn skills...

Saturday Feb 11th, 9am - 5pm Eastern Time

Agile Fundamentals

at Learning Tree International - Greenbelt 7500 Greenway Center Dr 16th Fl, Greenbelt, Maryland 20770

In this Agile fundamentals training course, you will gain the necessary knowledge to become an ICAgile Certified Professional (ICP). You will learn about the key aspects of value-driven development, adaptive planning techniques, self-organizing teams and why they are critical to success in a world of accelerating change while referencing popular Agile...

Tuesday Feb 21st, 9am - 4:30pm Eastern Time

 (2 sessions)


2 sessions

Lightroom In A Day

at Capital Photography Center - Downtown, Washington, D.C. 1616 H St NW, Washington, District of Columbia 20006

Learn Lightroom in a day. We'll look at the 2 most powerful modules, the Library and the Develop Modules. Learn how to use Lightroom to take charge of your digital workflow. This class is designed to make Lightroom easy to understand and put you in control of all it has to offer. It will cover your workflow from beginning to end: from importing and...

Sunday Feb 26th, 9am - 5pm Eastern Time