Data, AI, and Cloud Courses

In this case study, you’ll use visualization techniques to find out what skills are most in-demand for data scientists, data analysts, and data engineers.

Parse data in any format. Whether its flat files, statistical software, databases, or data right from the web.

Learn to effectively convey your data with an overview of common charts, alternative visualization types, and perception-driven style enhancements.

Data storytelling is a high-demand skill that elevates analytics. Learn narrative building and visualizations in this course with a college major dataset!

Learn the fundamentals of data visualization using Google Sheets.

Unlock Alteryx for data transformation, mastering Crosstab, Transpose, and workflow optimization in this interactive course.

Learn about risk management, value at risk and more applied to the 2008 financial crisis using Python.

Master SQL Server programming by learning to create, update, and execute functions and stored procedures.

Learn how to draw conclusions about a population from a sample of data via a process known as statistical inference.

Using Python and NumPy, learn the most fundamental financial concepts.

Learn how to detect fraud using Python.

Learn how to make attractive visualizations of geospatial data in Python using the geopandas package and folium maps.

Learn powerful command-line skills to download, process, and transform data, including machine learning pipeline.

The Generalized Linear Model course expands your regression toolbox to include logistic and Poisson regression.

Use Seaborns sophisticated visualization tools to make beautiful, informative visualizations with ease.

Shift to an MLOps mindset, enabling you to train, document, maintain, and scale your machine learning models to their fullest potential.

You will use Net Revenue Management techniques in Excel for a Fast Moving Consumer Goods company.

Learn about the difference between batching and streaming, scaling streaming systems, and real-world applications.

Explore ways to work with date and time data in SQL Server for time series analysis

Learn how to develop deep learning models with Keras.

Learn the essentials of parsing, manipulating and computing with dates and times in R.

Learn to tame your raw, messy data stored in a PostgreSQL database to extract accurate insights.

Explore the concepts and applications of linear models with python and build models to describe, predict, and extract insight from data patterns.

Help a fictional company in this interactive Power BI case study. You’ll use Power Query, DAX, and dashboards to identify the most in-demand data jobs!

Learn to manipulate and analyze flexibly structured data with MongoDB.

Orchestrate data using unions, joins, parsing, and performance optimization in Alteryx.

Learn how to calculate meaningful measures of risk and performance, and how to compile an optimal portfolio for the desired risk and return trade-off.

In this course youll learn about basic experimental design, a crucial part of any data analysis.

Learn the gritty details that data scientists are spending 70-80% of their time on; data wrangling and feature engineering.

Use RNA-Seq differential expression analysis to identify genes likely to be important for different diseases or conditions.