Data, AI, and Cloud Courses

• IntermediateSkill Level
• 4.5+
• 175

Learn how to import, clean and manipulate IoT data in Python to make it ready for machine learning.

• IntermediateSkill Level
• 4.7+
• 174

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

• AdvancedSkill Level
• 4.4+
• 174

Diagnose, visualize and treat missing data with a range of imputation techniques with tips to improve your results.

• BasicSkill Level
• 4.6+
• 172

Learn how bonds work and how to price them and assess some of their risks using the numpy and numpy-financial packages.

• AdvancedSkill Level
• 4.6+
• 171

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

• IntermediateSkill Level
• 4.5+
• 171

Learn how to use Python parallel programming with Dask to upscale your workflows and efficiently handle big data.

• BasicSkill Level
• 4.3+
• 169

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

• AdvancedSkill Level
• 4.3+
• 165

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

• AdvancedSkill Level
• 4.6+
• 163

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

• IntermediateSkill Level
• 4.7+
• 161

Learn to use R to develop models to evaluate and analyze bonds as well as protect them from interest rate changes.

• BasicSkill Level
• 4.4+
• 161

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

• IntermediateSkill Level
• 4.4+
• 159

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

• AdvancedSkill Level
• 4.5+
• 156

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

• IntermediateSkill Level
• 4.7+
• 155

Learn how to access financial data from local files as well as from internet sources.

• IntermediateSkill Level
• 4.6+
• 155

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

• IntermediateSkill Level
• 4.3+
• 153

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

• IntermediateSkill Level
• 4.6+
• 152

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

• IntermediateSkill Level
• 4.2+
• 151

Dive into our Tableau case study on supply chain analytics. Tackle shipment, inventory management, and dashboard creation to drive business improvements.

• IntermediateSkill Level
• 4.6+
• 150

Streamline your AI projects by building modular models and mastering advanced optimization with PyTorch Lightning!

• BasicSkill Level
• 4.6+
• 148

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

• BasicSkill Level
• 4.6+
• 148

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

• IntermediateSkill Level
• 4.6+
• 147

Learn how to use spaCy to build advanced natural language understanding systems, using both rule-based and machine learning approaches.

• AdvancedSkill Level
• 4.8+
• 145

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

• BasicSkill Level
• 4.8+
• 144

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

• IntermediateSkill Level
• 4.8+
• 144

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

• BasicSkill Level
• 4.5+
• 144

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

• IntermediateSkill Level
• 3.8+
• 143

Learn the bag of words technique for text mining with R.

• AdvancedSkill Level
• 4.6+
• 141

In this course, youll prepare for the most frequently covered statistical topics from distributions to hypothesis testing, regression models, and much more.

• IntermediateSkill Level
• 4.3+
• 141

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

• AdvancedSkill Level
• 4.5+
• 139

In this course youll learn techniques for performing statistical inference on numerical data.