Introduction to Python
Master the basics of data analysis with Python in just four hours. This online course will introduce the Python interface and explore popular packages.
Follow short videos led by expert instructors and then practice what you’ve learned with interactive exercises in your browser.
Master the basics of data analysis with Python in just four hours. This online course will introduce the Python interface and explore popular packages.
Learn how to create and query relational databases using SQL in just two hours.
Learn how to use ChatGPT. Discover best practices for writing prompts and explore common business use cases for the powerful AI tool.
Master the basics of data analysis in R, including vectors, lists, and data frames, and practice R with real data sets.
An introduction to data science with no coding involved.
Level up your data science skills by creating visualizations using Matplotlib and manipulating DataFrames with pandas.
Master the Power BI basics and learn to use the data visualization software to build impactful reports.
An introduction to data visualization with no coding involved.
Accompanied at every step with hands-on practice queries, this course teaches you everything you need to know to analyze data using your own SQL code today!
Learn how to import and clean data, calculate statistics, and create visualizations with pandas.
Level up your SQL knowledge and learn to join tables together, apply relational set theory, and work with subqueries.
Build real-world Excel skills in just 4 hours. This course will show you time-saving shortcuts and essential functions.
Start your Tableau journey with our Introduction to Tableau course. Discover Tableau basics such as its features and dashboards.
Discover how data engineers lay the groundwork that makes data science possible. No coding involved!
Grow your machine learning skills with scikit-learn in Python. Use real-world datasets in this interactive course and learn how to make powerful predictions!
Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data using Python.
An introduction to machine learning with no coding involved.
Learn the art of writing your own functions in Python, as well as key concepts like scoping and error handling.
Get started on the path to exploring and visualizing your own data with the tidyverse, a powerful and popular collection of data science tools within R.
Learn to combine data from multiple tables by joining data together using pandas.
Master the complex SQL queries necessary to answer a wide variety of data science questions and prepare robust data sets for analysis in PostgreSQL.
Learn the fundamentals of statistics, including measures of center and spread, probability distributions, and hypothesis testing with no coding involved!
Enhance your Power BI knowledge, by learning the fundamentals of Data Analysis Expressions (DAX) such as calculated columns, tables, and measures.
Continue your journey to becoming an R ninja by learning about conditional statements, loops, and vector functions.
Learn to import data into Python from various sources, such as Excel, SQL, SAS and right from the web.
Learn how to explore, visualize, and extract insights from data using exploratory data analysis (EDA) in Python.
Learn how to explore what's available in a database: the tables, relationships between them, and data stored in them.
Learn how to create, customize, and share data visualizations using Matplotlib.
Continue to build your modern Data Science skills by learning about iterators and list comprehensions.
Learn to diagnose and treat dirty data and develop the skills needed to transform your raw data into accurate insights!