Data, AI, and Cloud Courses

Learn to perform the two key tasks in statistical inference: parameter estimation and hypothesis testing.

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

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

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

Learn how to use plotly in R to create interactive data visualizations to enhance your data storytelling.

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

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

Learn how computers work, design efficient algorithms, and explore computational theory to solve real-world problems.

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.

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

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

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.

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

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

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

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

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

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

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

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

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.

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

From customer lifetime value, predicting churn to segmentation - learn and implement Machine Learning use cases for Marketing in Python.

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

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

Use your knowledge of common spreadsheet functions and techniques to explore Python!