Data, AI, and Cloud Courses

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

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

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

Learn how to design and implement triggers in SQL Server using real-world examples.

In this Power BI case study you’ll play the role of a junior trader, analyzing mortgage trading and enhancing your data modeling and financial analysis skills.

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

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

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

Learn how to use RNNs to classify text sentiment, generate sentences, and translate text between languages.

In this course youll learn how to perform inference using linear models.

Prepare for your next statistics interview by reviewing concepts like conditional probabilities, A/B testing, the bias-variance tradeoff, and more.

Learn how to run big data analysis using Spark and the sparklyr package in R, and explore Spark MLIb in just 4 hours.

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

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

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

Analyze time series graphs, use bipartite graphs, and gain the skills to tackle advanced problems in network analytics.

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

Learn how to set up and manage your Microsoft Fabric infrastructure.

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

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

Analyze market dynamics and craft a strategic entry plan for an EV manufacturer using generative AI.

Master core concepts about data manipulation such as filtering, selecting and calculating groupwise statistics using data.table.

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

Learn to create interactive dashboards with R using the powerful shinydashboard package. Create dynamic and engaging visualizations for your audience.

Explore latent variables, such as personality, using exploratory and confirmatory factor analyses.

Extend your regression toolbox with the logistic and Poisson models and learn to train, understand, and validate them, as well as to make predictions.

Learn to analyze financial statements using Python. Compute ratios, assess financial health, handle missing values, and present your analysis.

Work with risk-factor return series, study their empirical properties, and make estimates of value-at-risk.

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

Learn to set up a secure, efficient book recommendation app in Azure in this hands-on case study.