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Course Details
Price:
$15,000 15 seats left
Start Date:

Mon, Aug 24, 9:00am - Dec 04, 6:00pm Central Time (75 sessions)

Description
Class Level: Beginner
Age Requirements: 18 and older
Average Class Size: 15

What you'll learn in this data science course:

Attend the most comprehensive data science course in Chicago

At Flatiron School Chicago, we offer more than just a data science program. We bring together passionate instructors, uncompromising education, verified outcomes, and an inclusive student community to fuel a productive learning environment.

What You'll Learn: Data Science & Machine Learning

Our career-ready Data Science curriculum provides the technical skills, expertise, and tools necessary to think and work as a data scientist. Working in our WeWork classroom with our seasoned instructors, you’ll master a mix of software engineering and statistical understanding, then apply both skills in new and challenging domains.

Our robust Data Science program ensures not only job readiness for today’s growing job market, but the aptitude to continue learning and stay relevant in your career for years to come.

Prework

Our data Science Program moves quickly and our passionate students embrace that challenge. While no 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. The prework ensures that you come in prepared and able to keep pace with the class.

Python for data science

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. At the end of this module, you’ll be able to build a basic linear regression model and evaluate the results. Finally, we’ll conclude with a heavy focus on visualizations as a way to convert data to actionable insights.

Module 1 Topics
  • Variables
  • Booleans and Conditionals
  • Lists
  • Dictionaries
  • Looping
  • Functions
  • Data Cleaning
  • Pandas
  • NumPy
  • Matlotlib/Seaborn for Data Visualization
  • Git/Github
Data Engineering for Data Science

In this module, you’ll learn about data structures, relational databases, ways to retrieve data, and the fundamentals of SQL for data querying for structured databases, as well as NoSQL (and MongoDB) for non-relational databases. Furthermore, we’ll cover the basics of HTML, XML, and JSON in order to access data from various sources using APls, as well as Web Scraping.

Module 2 Topics
  • Data structures
  • Relational Databases
  • SQL
  • Object-Oriented Programming
  • NoSQL databases
  • MongoDB
  • JSON
  • HTML/XML
  • Accessing Data Through APIs
  • CSS Web Scraping
Probability, Sampling AB Testing

This is a basic module that introduces the fundamentals of probability theory, where you’ll learn about principles like combinations and permutations. You’ll continue with statistical distributions and learn how to create samples with known distributions. By the end of this course, you’ll apply your knowledge by running Monte Carlo simulations and AB tests. 

Module 3 Topics
  • Combinatorics
  • Probability Theory
  • Statistical Distributions
  • Bayes Theorem
  • Naive Bayes Classifier
  • Sampling Methods
  • Monte Carlo Simulation
  • Hypothesis Testing
  • AB Testing
Statistical Modeling

We’ll cover how and when regression models can be used to transform data into insights. You’ll learn about both linear and logistic regression and the algorithm behind regression models. By the end of this module, you’ll be able to evaluate the results of regression models and extend them to interaction effects and polynomial features. To compare the performance of models built, you’ll dive deeper into model evaluation and the bias-variance trade-off.

Module 4 Topics
  • Linear Algebra
  • Linear Regression and extensions
  • Polynomials
  • Interaction effects
  • Logistic regression
  • Optimization Cost Function
  • Gradient Descent
  • Maximum Likelihood Estimation
  • Time Series Modeling
  • Regularization and Model Validation
Machine Learning and Big Data

In Module 5 you’ll learn how to build and implement machine learning’s most important techniques and will take your first steps into classification algorithms through supervised learning techniques such as Support Vector Machines and Decision Trees. Additionally, you’ll learn how to build even more robust classifiers using ensemble methods like Bagged and Boosted Trees, as well asRandom Forests. Next, you’ll move onto unsupervised learning techniques such as Clustering, and dimensionality reduction techniques like Principal Component Analysis.

Module 5 Topics
  • Distance Metrics
  • K Nearest Neighbors
  • Clustering
  • Decision Trees
  • Ensemble Methods
  • Dimensionality Reduction
  • Pipeline Building
  • Hyperparameter Tuning
  • Grid Search
  • Scikit-Learn
Deep Learning and Natural Language Processing

In the final module, you’ll learn how to use regular expressions in Python and how to manage string values, analyze text, and perform sentiment analysis. Additionally, you’ll get an in-depth overview of deep learning techniques, densely connected neural networks for high-performing classification performance, convolutional neural networks for image recognition, and recurrent neural networks for sequence modeling. You’ll also learn about techniques to evaluate performance and to optimize and regularize model performance.

Module 6 Topics
  • Neural Networks
  • Convolutional Neural Networks
  • Ngrams
  • POS Tagging
  • Text Vectorization
  • Context-Free Grammars
  • Neural Language Toolkit
  • Regular Expressions
  • Word2Vec
  • Text Classification
Final Projects

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 time constraints of the course. At the end of the course, you’ll receive a grade based on various factors. Upon project completion, you’ll understand 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.

Remote Learning

This course is available for "remote" learning and will be available to anyone with access to an internet device with a microphone (this includes most models of computers, tablets). Classes will take place with a "Live" instructor at the date/times listed below.

Upon registration, the instructor will send along additional information about how to log-on and participate in the class.

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 (1)
Start Date Time Teacher # Sessions Price
9:00am - 6:00pm Central Time Lore Dirick, Fangfang Lee & Alison Peebles 75 $15,000
This course consists of multiple sessions, view schedule for sessions.
Tue, Aug 25 9:00am - 6:00pm Central Time Lore Dirick, Fangfang Lee & Alison Peebles
Wed, Aug 26 9:00am - 6:00pm Central Time Lore Dirick, Fangfang Lee & Alison Peebles
Thu, Aug 27 9:00am - 6:00pm Central Time Lore Dirick, Fangfang Lee & Alison Peebles
Fri, Aug 28 9:00am - 6:00pm Central Time Lore Dirick, Fangfang Lee & Alison Peebles
Mon, Aug 31 9:00am - 6:00pm Central Time Lore Dirick, Fangfang Lee & Alison Peebles
Tue, Sep 01 9:00am - 6:00pm Central Time Lore Dirick, Fangfang Lee & Alison Peebles
Wed, Sep 02 9:00am - 6:00pm Central Time Lore Dirick, Fangfang Lee & Alison Peebles
Thu, Sep 03 9:00am - 6:00pm Central Time Lore Dirick, Fangfang Lee & Alison Peebles
Fri, Sep 04 9:00am - 6:00pm Central Time Lore Dirick, Fangfang Lee & Alison Peebles
Mon, Sep 07 9:00am - 6:00pm Central Time Lore Dirick, Fangfang Lee & Alison Peebles
Tue, Sep 08 9:00am - 6:00pm Central Time Lore Dirick, Fangfang Lee & Alison Peebles
Wed, Sep 09 9:00am - 6:00pm Central Time Lore Dirick, Fangfang Lee & Alison Peebles
Thu, Sep 10 9:00am - 6:00pm Central Time Lore Dirick, Fangfang Lee & Alison Peebles
Fri, Sep 11 9:00am - 6:00pm Central Time Lore Dirick, Fangfang Lee & Alison Peebles
Mon, Sep 14 9:00am - 6:00pm Central Time Lore Dirick, Fangfang Lee & Alison Peebles
Tue, Sep 15 9:00am - 6:00pm Central Time Lore Dirick, Fangfang Lee & Alison Peebles
Wed, Sep 16 9:00am - 6:00pm Central Time Lore Dirick, Fangfang Lee & Alison Peebles
Thu, Sep 17 9:00am - 6:00pm Central Time Lore Dirick, Fangfang Lee & Alison Peebles
Fri, Sep 18 9:00am - 6:00pm Central Time Lore Dirick, Fangfang Lee & Alison Peebles
Mon, Sep 21 9:00am - 6:00pm Central Time Lore Dirick, Fangfang Lee & Alison Peebles
Tue, Sep 22 9:00am - 6:00pm Central Time Lore Dirick, Fangfang Lee & Alison Peebles
Wed, Sep 23 9:00am - 6:00pm Central Time Lore Dirick, Fangfang Lee & Alison Peebles
Thu, Sep 24 9:00am - 6:00pm Central Time Lore Dirick, Fangfang Lee & Alison Peebles
Fri, Sep 25 9:00am - 6:00pm Central Time Lore Dirick, Fangfang Lee & Alison Peebles
Mon, Sep 28 9:00am - 6:00pm Central Time Lore Dirick, Fangfang Lee & Alison Peebles
Tue, Sep 29 9:00am - 6:00pm Central Time Lore Dirick, Fangfang Lee & Alison Peebles
Wed, Sep 30 9:00am - 6:00pm Central Time Lore Dirick, Fangfang Lee & Alison Peebles
Thu, Oct 01 9:00am - 6:00pm Central Time Lore Dirick, Fangfang Lee & Alison Peebles
Fri, Oct 02 9:00am - 6:00pm Central Time Lore Dirick, Fangfang Lee & Alison Peebles
Mon, Oct 05 9:00am - 6:00pm Central Time Lore Dirick, Fangfang Lee & Alison Peebles
Tue, Oct 06 9:00am - 6:00pm Central Time Lore Dirick, Fangfang Lee & Alison Peebles
Wed, Oct 07 9:00am - 6:00pm Central Time Lore Dirick, Fangfang Lee & Alison Peebles
Thu, Oct 08 9:00am - 6:00pm Central Time Lore Dirick, Fangfang Lee & Alison Peebles
Fri, Oct 09 9:00am - 6:00pm Central Time Lore Dirick, Fangfang Lee & Alison Peebles
Mon, Oct 12 9:00am - 6:00pm Central Time Lore Dirick, Fangfang Lee & Alison Peebles
Tue, Oct 13 9:00am - 6:00pm Central Time Lore Dirick, Fangfang Lee & Alison Peebles
Wed, Oct 14 9:00am - 6:00pm Central Time Lore Dirick, Fangfang Lee & Alison Peebles
Thu, Oct 15 9:00am - 6:00pm Central Time Lore Dirick, Fangfang Lee & Alison Peebles
Fri, Oct 16 9:00am - 6:00pm Central Time Lore Dirick, Fangfang Lee & Alison Peebles
Mon, Oct 19 9:00am - 6:00pm Central Time Lore Dirick, Fangfang Lee & Alison Peebles
Tue, Oct 20 9:00am - 6:00pm Central Time Lore Dirick, Fangfang Lee & Alison Peebles
Wed, Oct 21 9:00am - 6:00pm Central Time Lore Dirick, Fangfang Lee & Alison Peebles
Thu, Oct 22 9:00am - 6:00pm Central Time Lore Dirick, Fangfang Lee & Alison Peebles
Fri, Oct 23 9:00am - 6:00pm Central Time Lore Dirick, Fangfang Lee & Alison Peebles
Mon, Oct 26 9:00am - 6:00pm Central Time Lore Dirick, Fangfang Lee & Alison Peebles
Tue, Oct 27 9:00am - 6:00pm Central Time Lore Dirick, Fangfang Lee & Alison Peebles
Wed, Oct 28 9:00am - 6:00pm Central Time Lore Dirick, Fangfang Lee & Alison Peebles
Thu, Oct 29 9:00am - 6:00pm Central Time Lore Dirick, Fangfang Lee & Alison Peebles
Fri, Oct 30 9:00am - 6:00pm Central Time Lore Dirick, Fangfang Lee & Alison Peebles
Mon, Nov 02 9:00am - 6:00pm Central Time Lore Dirick, Fangfang Lee & Alison Peebles
Tue, Nov 03 9:00am - 6:00pm Central Time Lore Dirick, Fangfang Lee & Alison Peebles
Wed, Nov 04 9:00am - 6:00pm Central Time Lore Dirick, Fangfang Lee & Alison Peebles
Thu, Nov 05 9:00am - 6:00pm Central Time Lore Dirick, Fangfang Lee & Alison Peebles
Fri, Nov 06 9:00am - 6:00pm Central Time Lore Dirick, Fangfang Lee & Alison Peebles
Mon, Nov 09 9:00am - 6:00pm Central Time Lore Dirick, Fangfang Lee & Alison Peebles
Tue, Nov 10 9:00am - 6:00pm Central Time Lore Dirick, Fangfang Lee & Alison Peebles
Wed, Nov 11 9:00am - 6:00pm Central Time Lore Dirick, Fangfang Lee & Alison Peebles
Thu, Nov 12 9:00am - 6:00pm Central Time Lore Dirick, Fangfang Lee & Alison Peebles
Fri, Nov 13 9:00am - 6:00pm Central Time Lore Dirick, Fangfang Lee & Alison Peebles
Mon, Nov 16 9:00am - 6:00pm Central Time Lore Dirick, Fangfang Lee & Alison Peebles
Tue, Nov 17 9:00am - 6:00pm Central Time Lore Dirick, Fangfang Lee & Alison Peebles
Wed, Nov 18 9:00am - 6:00pm Central Time Lore Dirick, Fangfang Lee & Alison Peebles
Thu, Nov 19 9:00am - 6:00pm Central Time Lore Dirick, Fangfang Lee & Alison Peebles
Fri, Nov 20 9:00am - 6:00pm Central Time Lore Dirick, Fangfang Lee & Alison Peebles
Mon, Nov 23 9:00am - 6:00pm Central Time Lore Dirick, Fangfang Lee & Alison Peebles
Tue, Nov 24 9:00am - 6:00pm Central Time Lore Dirick, Fangfang Lee & Alison Peebles
Wed, Nov 25 9:00am - 6:00pm Central Time Lore Dirick, Fangfang Lee & Alison Peebles
Thu, Nov 26 9:00am - 6:00pm Central Time Lore Dirick, Fangfang Lee & Alison Peebles
Fri, Nov 27 9:00am - 6:00pm Central Time Lore Dirick, Fangfang Lee & Alison Peebles
Mon, Nov 30 9:00am - 6:00pm Central Time Lore Dirick, Fangfang Lee & Alison Peebles
Tue, Dec 01 9:00am - 6:00pm Central Time Lore Dirick, Fangfang Lee & Alison Peebles
Wed, Dec 02 9:00am - 6:00pm Central Time Lore Dirick, Fangfang Lee & Alison Peebles
Thu, Dec 03 9:00am - 6:00pm Central Time Lore Dirick, Fangfang Lee & Alison Peebles
Fri, Dec 04 9:00am - 6:00pm Central Time Lore Dirick, Fangfang Lee & Alison Peebles

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