Data, AI, and Cloud Courses

• IntermediateSkill Level
• 4.6+
• 259

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

• BasicSkill Level
• 4.5+
• 259

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

• AdvancedSkill Level
• 4.6+
• 257

Get hands-on experience making sound conclusions based on data in this four-hour course on statistical inference in Python.

• BasicSkill Level
• 4.5+
• 257

Discover what all of the DeepSeek hype was really about! Build applications using DeepSeeks R1 and V3 models.

• IntermediateSkill Level
• 4.6+
• 254

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.

• IntermediateSkill Level
• 4.7+
• 253

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

• IntermediateSkill Level
• 4.4+
• 253

Learn how to visualize time series in R, then practice with a stock-picking case study.

• IntermediateSkill Level
• 4.4+
• 253

Ensure data consistency by learning how to use transactions and handle errors in concurrent environments.

• IntermediateSkill Level
• 4.8+
• 250

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

• AdvancedSkill Level
• 4.6+
• 250

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

• BasicSkill Level
• 4.6+
• 249

Elevate decision-making skills with Decision Models, analysis methods, risk management, and optimization techniques.

• BasicSkill Level
• 4.6+
• 239

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

• BasicSkill Level
• 4.5+
• 239

Learn how to prepare and organize your data for predictive analytics.

• BasicSkill Level
• 4.4+
• 236

Make it easy to visualize, explore, and impute missing data with naniar, a tidyverse friendly approach to missing data.

• AdvancedSkill Level
• 4.4+
• 234

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

• IntermediateSkill Level
• 4.8+
• 230

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

• IntermediateSkill Level
• 4.6+
• 227

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

• IntermediateSkill Level
• 4.3+
• 226

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

• IntermediateSkill Level
• 4.6+
• 224

Learn to use Amazon Bedrock to access foundation AI models and build with AI - without managing complex infrastructure.

• IntermediateSkill Level
• 4.6+
• 223

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

• IntermediateSkill Level
• 4.5+
• 223

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

• BasicSkill Level
• 4.5+
• 222

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

• IntermediateSkill Level
• 4.6+
• 220

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

• AdvancedSkill Level
• 4.3+
• 219

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

• IntermediateSkill Level
• 4.5+
• 218

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

• AdvancedSkill Level
• 4.6+
• 217

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

• BasicSkill Level
• 4.6+
• 216

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

• IntermediateSkill Level
• 4.6+
• 216

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

• IntermediateSkill Level
• 4.4+
• 214

Azure Security

• IntermediateSkill Level
• 4.3+
• 213

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