Data, AI, and Cloud Courses

• IntermediateSkill Level
• 4.1+
• 206

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

• IntermediateSkill Level
• 4.7+
• 205

This course is for R users who want to get up to speed with Python!

• BasicSkill Level
• 4.7+
• 204

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

• IntermediateSkill Level
• 4.6+
• 204

Learn to build recommendation engines in Python using machine learning techniques.

• BasicSkill Level
• 4.7+
• 200

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

• IntermediateSkill Level
• 4.6+
• 199

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

• IntermediateSkill Level
• 4.3+
• 198

Azure Security

• AdvancedSkill Level
• 4.6+
• 197

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

• IntermediateSkill Level
• 4.0+
• 196

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

• BasicSkill Level
• 4.6+
• 193

Explore a range of programming paradigms, including imperative and declarative, procedural, functional, and object-oriented programming.

• AdvancedSkill Level
• 4.5+
• 193

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

• BasicSkill Level
• 4.2+
• 193

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

• IntermediateSkill Level
• 4.4+
• 192

Explore association rules in market basket analysis with R by analyzing retail data and creating movie recommendations.

• AdvancedSkill Level
• 4.7+
• 191

Learn how to write effective tests in Java using JUnit and Mockito to build robust, reliable applications with confidence.

• IntermediateSkill Level
• 4.8+
• 189

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

• IntermediateSkill Level
• 4.7+
• 189

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

• AdvancedSkill Level
• 4.6+
• 189

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

• IntermediateSkill Level
• 4.5+
• 189

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

• BasicSkill Level
• 3.9+
• 189

Learn how to use conditional formatting with your data through built-in options and by creating custom formulas.

• AdvancedSkill Level
• 4.5+
• 185

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

• AdvancedSkill Level
• 4.6+
• 183

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

• IntermediateSkill Level
• 4.5+
• 183

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

• IntermediateSkill Level
• 3.9+
• 179

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

• AdvancedSkill Level
• 4.5+
• 175

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

• IntermediateSkill Level
• 4.6+
• 174

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
• 4.8+
• 172

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

• BasicSkill Level
• 4.5+
• 171

Learn to create compelling data visualizations with KNIME, covering charts, components, and dashboards.

• IntermediateSkill Level
• 4.4+
• 170

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.

• BasicSkill Level
• 4.5+
• 169

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

• IntermediateSkill Level
• 4.3+
• 169

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