Data, AI, and Cloud Courses

• BasicSkill Level
• 4.3+
• 200

Stop fighting Excel and start talking to it! Use Copilot in Excel to clean data, build charts, and get answers faster.

• IntermediateSkill Level
• 4.7+
• 198

Learn to streamline your machine learning workflows with tidymodels.

• IntermediateSkill Level
• 4.6+
• 198

Learn how to use PostgreSQL to handle time series analysis effectively and apply these techniques to real-world data.

• AdvancedSkill Level
• 4.6+
• 197

Learn how to reduce training times for large language models with Accelerator and Trainer for distributed training

• IntermediateSkill Level
• 4.2+
• 196

Azure Security

• IntermediateSkill Level
• 4.6+
• 195

Master RAG with Weaviate! Embed text and images for retrieval, and experiment with vector, BM25, and hybrid search.

• IntermediateSkill Level
• 4.4+
• 195

Learn to develop R packages and boost your coding skills. Discover package creation benefits, practice with dev tools, and create a unit conversion package.

• IntermediateSkill Level
• 4.6+
• 194

Learn to design scalable event-driven architectures in Azure using messaging services and real-world integrations.

• AdvancedSkill Level
• 4.7+
• 192

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

• BasicSkill Level
• 4.3+
• 192

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

• IntermediateSkill Level
• 4.3+
• 190

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.

• AdvancedSkill Level
• 4.7+
• 188

Use survival analysis to work with time-to-event data and predict survival time.

• IntermediateSkill Level
• 4.8+
• 187

Leverage tidyr and purrr packages in the tidyverse to generate, explore, and evaluate machine learning models.

• AdvancedSkill Level
• 4.5+
• 187

Learn how to load, transform, and transcribe speech from raw audio files in Python.

• IntermediateSkill Level
• 4.0+
• 187

Apply financial analysis in KNIME with real-world data, enhancing data preparation and workflow skills.

• IntermediateSkill Level
• 4.5+
• 186

Extract and visualize Twitter data, perform sentiment and network analysis, and map the geolocation of your tweets.

• BasicSkill Level
• 4.6+
• 185

Automate data manipulation with KNIME, mastering merging, aggregation, database workflows, and advanced file handling.

• IntermediateSkill Level
• 4.0+
• 185

Learn how to manipulate, visualize, and perform statistical tests through a series of HR analytics case studies.

• IntermediateSkill Level
• 4.5+
• 184

Learn how to monitor, diagnose, and optimize Azure applications using Azure Monitor, Application Insights, and Log Analytics.

• AdvancedSkill Level
• 4.6+
• 177

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

• AdvancedSkill Level
• 4.5+
• 177

Specify and fit GARCH models to forecast time-varying volatility and value-at-risk.

• IntermediateSkill Level
• 4.5+
• 176

Step into the role of CFO and learn how to advise a board of directors on key metrics while building a financial forecast.

• IntermediateSkill Level
• 4.4+
• 176

Explore the Stanford Open Policing Project dataset and analyze the impact of gender on police behavior using pandas.

• IntermediateSkill Level
• 4.8+
• 174

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

• BasicSkill Level
• 4.7+
• 173

Learn about MLOps, including the tools and practices needed for automating and scaling machine learning applications.

• AdvancedSkill Level
• 4.4+
• 173

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

• BasicSkill Level
• 4.6+
• 172

Transition from MATLAB by learning some fundamental Python concepts, and diving into the NumPy and Matplotlib packages.

• BasicSkill Level
• 4.8+
• 166

Build interactive AI apps in Sigma using user input, actions, and polished interfaces, no coding required.

• IntermediateSkill Level
• 4.8+
• 162

Learn to analyze and visualize network data with the igraph package and create interactive network plots with threejs.

• IntermediateSkill Level
• 4.6+
• 159

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