Master core concepts about data manipulation such as filtering, selecting and calculating groupwise statistics using data.table.

Understand the fundamentals of Machine Learning and how it's applied in the business world.

Learn the core techniques necessary to extract meaningful insights from time series data.

You’ll learn how to (un)pivot, transpose, append and join tables. Gain power with custom columns, M language, and the Advanced Editor.

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

Learn the fundamentals of AI. No programming experience required!

Take your R skills up a notch by learning to write efficient, reusable functions.

Learn how to manipulate and visualize categorical data using pandas and seaborn.

Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data using Python.

Learn the fundamentals of gradient boosting and build state-of-the-art machine learning models using XGBoost to solve classification and regression problems.

You will investigate a dataset from a fictitious company called Databel in Power BI, and need to figure out why customers are churning.

Learn how to design Power BI visualizations and reports with users in mind.

You will investigate a dataset from a fictitious company called Databel in Tableau, and need to figure out why customers are churning.

This course will equip you with the skills to analyze, visualize, and make sense of networks using the NetworkX library.

Learn to connect Tableau to different data sources and prepare the data for a smooth analysis.