Data, AI, and Cloud Courses

Apply your finance and R skills to backtest, analyze, and optimize financial portfolios.

Learn survey design using common design structures followed by visualizing and analyzing survey results.

Explore Alteryx Designer in a retail data case study to boost sales analysis and strategic decision-making.

Sharpen your knowledge and prepare for your next interview by practicing Python machine learning interview questions.

Get ready to categorize! In this course, you will work with non-numerical data, such as job titles or survey responses, using the Tidyverse landscape.

Learn about GARCH Models, how to implement them and calibrate them on financial data from stocks to foreign exchange.

Learn how to produce interactive web maps with ease using leaflet.

Explore Power BI Service, master the interface, make informed decisions, and maximize the power of your reports.

This Power BI case study follows a real-world business use case on tackling inventory analysis using DAX and visualizations.

Strengthen your knowledge of the topics covered in Manipulating Time Series in R using real case study data.

Manage the complexity in your code using object-oriented programming with the S3 and R6 systems.

Master marketing analytics using Tableau. Analyze performance, benchmark metrics, and optimize strategies across channels.

In this course, you’ll learn to classify, treat and analyze time series; an absolute must, if you’re serious about stepping up as an analytics professional.

Learn to distinguish real differences from random noise, and explore psychological crutches we use that interfere with our rational decision making.

Discover how to use the income statement and balance sheet in Power BI

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

In ecommerce, increasing sales and reducing costs are key. Analyze data from an online pet supply company using Power BI.

Build real-world applications with Python—practice using OOP and software engineering principles to write clean and maintainable code.

Learn to write scripts that will catch and handle errors and control for multiple operations happening at once.

Explore Data Version Control for ML data management. Master setup, automate pipelines, and evaluate models seamlessly.

This course covers everything you need to know to build a basic machine learning monitoring system in Python

Learn the bag of words technique for text mining with R.

This Power BI case study follows a real-world business use case where you will apply the concepts of ETL and visualization.

Learn how to ensure clean data entry and build dynamic dashboards to display your marketing data.

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

In this course, youll learn how to collect Twitter data and analyze Twitter text, networks, and geographical origin.

Learn how to build a graphical dashboard with Google Sheets to track the performance of financial securities.

Interact with a customized GPT and use your prompting skills to plan and open your restaurant.

Apply statistical modeling in a real-life setting using logistic regression and decision trees to model credit risk.

Master data fluency! Learn skills for individuals and organizations, understand behaviors, and build a data-fluent culture.