Data, AI, and Cloud Courses

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

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

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

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

Learn how to work with streaming data using serverless technologies on AWS.

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

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

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

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

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.

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

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

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

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

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

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.

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

Enhance your KNIME skills with our course on data transformation, column operations, and workflow optimization.

Learn tools and techniques to leverage your own big data to facilitate positive experiences for your users.

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

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

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

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

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

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

This course will show you how to combine and merge datasets with data.table.