Learn the fundamentals of neural networks and how to build deep learning models using Keras 2.0.

Learn to import data into Python from various sources, such as Excel, SQL, SAS and right from the web.

Level up your data science skills by creating visualizations using Matplotlib and manipulating DataFrames with pandas.

Learn to write efficient code that executes quickly and allocates resources skillfully to avoid unnecessary overhead.

Master the basics of data analysis by manipulating common data structures such as vectors, matrices, and data frames.

Gain a 360° overview of how to explore and use Power BI to build impactful reports.

Discover how data engineers lay the groundwork that makes data science possible. No coding involved!

Master the complex SQL queries necessary to answer a wide variety of data science questions and prepare robust data sets for analysis in PostgreSQL.

Dive into data science using Python and learn how to effectively analyze and visualize your data. No coding experience or skills needed.

Learn the art of writing your own functions in Python, as well as key concepts like scoping and error handling.

Continue your journey to becoming an R ninja by learning about conditional statements, loops, and vector functions.

Enhance your Power BI knowledge, by learning the fundamentals of Data Analysis Expressions (DAX) such as calculated columns, tables, and measures.

Learn to combine data from multiple tables by joining data together using pandas.

An introduction to data science with no coding involved.

An introduction to machine learning with no coding involved.