Best Data Science Courses Chicago: Compare Top Courses

Key Information	SQL Bootcamp	Python for Data Science Immersive	Data Science Certificate
	$975 18 Hours	$1,495 30 Hours	$3,495 114 Hours
	Learn More	Learn More	Learn More
	Download Syllabus	Download Syllabus	Download Syllabus

Overview	Learn to answer questions with a database, the ultimate system of record for most organizations. As every industry becomes more data-driven, the value of learning SQL will only grow into the future.	Pick up Python fundamentals and quickly transition into analyzing real-world datasets. You will learn to how to clean and combine data, as well as generate useful statistics and visualizations. The final sessions will be focused on using linear regression to extrapolate from data and make predictions.	Master the tools to become a data scientist: Python, SQL, automation, and machine learning. Learn Python programming fundamentals and analyze data with Pandas, NumPy, and Matplotlib, and query databases with SQL. Use machine learning to apply regressions and other statistical analysis to create predictive models.
Prerequisite	Open to Beginners	Open to Beginners	Open to Beginners
Location	29 E Madison, Chicago or Live Online	29 E Madison, Chicago or Live Online	29 E Madison, Chicago or Live Online
Schedule	Not currently scheduled	Not currently scheduled	Not currently scheduled
Certification	Receive a Certificate of Completion	Receive a Certificate of Completion	New York-licensed Certificate Program
Software Included
Free Retake Within 1 Year See our class policies for more details
Workbook Included
Courses Included (Certificates & packages only)	N/A	N/A	30 HoursPython for Data Science Immersive 30 HoursPython Machine Learning Immersive 6 HoursPython for Automation 18 HoursSQL Bootcamp
Payment Plan See our payment plan FAQ for more details			This program is eligible for our “pay-as-you-go” payment plan.
Financing See our Climb Credit FAQ for more details
Target Audience	Leaders interested in making better data-driven decisions and “knowing the numbers” Analysts looking to deepen their skillset beyond Excel and Tableau Developers who want to be more comfortable working with databases	Anyone	Individuals looking to break into data science with Python, machine learning, and SQL skills Analysts who work with other data tools looking to transition to Python and SQL Developers looking to broaden their skillset to data science and Python
What You’ll Learn	Explore and alter data using a graphical user interface Write queries to search through tables programmatically Understand different data types and converting between them Combine information across tables with join statements Advanced techniques like subqueries and timestamp functions	Foundational programming concepts including loops, functions, and objects Handle different types of data, such as integers, floats, and strings Control the flow of your programs with conditional statements Reuse and simplify code with object-oriented programming Analyze tabular data with Numpy and Pandas Create graphs and visualizations with Matplotlib Make predictions with linear regression, using scikit-learn	Analyze tabular data with NumPy and Pandas Create graphs and visualizations with Matplotlib Make predictions with linear regression Applying Machine learning algorithms to the data Cleaning and balancing data in Pandas Evaluating the performance of machine learning models Combine information across tables with join statements Advanced techniques such as subqueries and stored procedures Learn how to write programs in Python to automate everyday tasks

Earn a Data Science Certificate