This course covers the important aspects of choosing a development environment for Python, the differences between Conda and Pip for working with Python libraries, popular IDEs such as PyCharm, IDLE, Eclipse, and Spyder, as well as running Python on the cloud.

This course covers the important practical aspects of installing PyTorch from scratch on a variety of different platforms and getting going with classification and regression models.

In this course, you’ll see the entire workflow that data professionals use to produce their R analytics solutions.

This course covers both the why and how of using scikit-learn. You'll delve into scikit-learn’s niche in the ever-growing taxonomy of machine learning libraries, and important aspects of working with scikit-learn estimators and pipelines.

In this course you'll quickly learn to create professional-looking reports for SQL Server Reporting Services using Microsoft Visual Studio.

Explore data analysis techniques to drive business performance and decision-making.

Business Analytics for Beginners is designed to introduce you to the exciting world of data analytics in a way that is easy to understand.

Gain insights into business intelligence tools and analytics techniques to optimize decision-making.

BI Data Analysts use Python and SQL to query, analyze, and visualize data — and Tableau and Excel to communicate findings.

BI Data Analysts use Python and SQL to query, analyze, and visualize data — and Tableau and Excel to communicate findings.

This course uses a hands-on approach to introduce core concepts of data science. You will work on projects using real world data.

This course uses a hands-on approach to introduce core concepts of data science. You will work on projects using real world data.