Data, AI, and Cloud Courses

Learn how to analyze data with PivotTables and intermediate logical functions before moving on to tools such as what-if analysis and forecasting.

Learn how to explore, visualize, and extract insights from data using exploratory data analysis (EDA) in Python.

Learn how to explore whats available in a database: the tables, relationships between them, and data stored in them.

Learn how to build impactful reports with Power BI’s Exploratory Data Analysis (EDA) that uncover insights faster and drive business value.

Learn how to use graphical and numerical techniques to begin uncovering the structure of your data.

Learn to use Google Sheets to clean, analyze, and draw insights from data. Discover how to sort, filter, and use VLOOKUP to combine data.

Learn all about the advantages of Bayesian data analysis, and apply it to a variety of real-world use cases!

Use data manipulation and visualization skills to explore the historical voting of the United Nations General Assembly.

Learn what Bayesian data analysis is, how it works, and why it is a useful tool to have in your data science toolbox.

Learn to analyze Airbnb data using SQL in Databricks, create dashboards, and derive actionable insights.

Build up your pandas skills and answer marketing questions by merging, slicing, visualizing, and more!

Leverage the power of Python and PuLP to optimize supply chains.

Learn how to use Python to analyze customer churn and build a model to predict it.

Learn how to manipulate, visualize, and perform statistical tests through a series of HR analytics case studies.

Learn to use the Census API to work with demographic and socioeconomic data.

Learn to rapidly visualize and explore demographic data from the United States Census Bureau using tidyverse tools.

Master the basics of data analysis in R, including vectors, lists, and data frames, and practice R with real data sets.

Learn how to import and clean data, calculate statistics, and create visualizations with pandas.

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 how to create informative and attractive visualizations in Python using the Seaborn library.

Learn the key concepts of data modeling on Power BI.

Learn to diagnose and treat dirty data and develop the skills needed to transform your raw data into accurate insights!

Data Analysis Expressions (DAX) allow you to take your Power BI skills to the next level by writing custom functions.

Apply your skills to import, analyze and visualize Human Resources (HR) data using Power BI.

Boost your Excel skills with advanced referencing, lookup, and database functions using practical exercises.

Learn the fundamentals of working with big data with PySpark.

Learn to write faster R code, discover benchmarking and profiling, and unlock the secrets of parallel programming.

Build the foundation you need to think statistically and to speak the language of your data.

Unlock BigQuerys power: grasp its fundamentals, execute queries, and optimize workflows for efficient data analysis.

In this course, you will use T-SQL, the flavor of SQL used in Microsofts SQL Server for data analysis.