Data Science Bootcamps Chicago, IL

This course covers the skills needed to become a data analyst or business analyst, including data analytics fundamentals, data visualization with Tableau, using Python for data cleaning and manipulation, and working with relational databases. One-on-one mentoring is included.

In this data science bootcamp, students will build programming skills and data analysis skills using Python. This course is open to beginners and is meant to get individuals up and running with Python programming and data science to generate insights from data. Topics covered include programming fundamentals, working with DataFrames, data analysis, data visualization, and statistical analysis. This course offers flexible scheduling options and a free retake for students to refresh the material.

In this course, students expand their Python programming skills into machine learning and algorithms that can independently learn patterns and make decisions. The course begins with linear and logistic regressions, the most time-tested and reliable tools for approaching a machine learning problem. Students then progress to algorithms with a different theoretical basis, such as k-nearest neighbors, decision trees, and random forests. This will bring important statistical concepts to the forefront, such as bias, variance, and overfitting. Participants also learn how to measure the accuracy of their models, as well as tips for choosing effective features and algorithms.

Learn to solve problems and effectively communicate like an analyst. This course teaches you to use industry-standard tools to make ethical, data-driven decisions. Experience hands-on training to master SQL, Excel, Tableau, Power BI, and Python – tools listed in virtually every data analytics job posting across industries.

Step into the world of data with the University of Illinois Chicago's Data Analytics Bootcamp. In this 10–26-week online program, you'll master the art of data analysis using tools like Excel, SQL, and Python, and work toward industry certifications, setting a solid foundation for a career as a Data Analyst or Insights Analyst.

This one-week data analytics course provides a deep dive into using Python for data analysis. Students will get comfortable with the basics of Python programming and start working with critical data analysis libraries like NumPy, Pandas, and Matplotlib to perform data analysis and create data visualizations. This 35-hour intensive course is meant to quickly get beginners in Python up to speed on performing data analysis and visualization in Python.

This machine learning course is meant for learners looking to master the concepts needed for machine learning. Students will learn how machine learning can be used for decision-making, the different machine learning techniques available, and how to tackle machine learning projects. The course covers various techniques in machine learning, including regression, classification, K-means, neural networks, and more.

The Fullstack Academy Artificial Intelligence & Machine Learning bootcamp provides current and prospective data professionals with the in-demand skills to specialize in this lucrative, dynamic, and rapidly-growing field. Over 26 weeks of part-time study, students will learn practical and theoretical machine learning concepts using real-world tools—graduating with the working knowledge and experience needed to qualify for a range of data roles, including those focused on AI. Students will also receive professional career coaching support for up to a year following graduation to help build and maintain an ideal and specialized career path in the industry.

Gain in-demand SQL skills with expert-led training that prepares you for the Oracle Database SQL Certified Associate exam. Learn to write queries, analyze data, and navigate real-world database environments using PostgreSQL and other major platforms.