Data, AI, and Cloud Courses

• IntermediateSkill Level
• 4.4+
• 239

Master marketing analytics using Tableau. Analyze performance, benchmark metrics, and optimize strategies across channels.

• IntermediateSkill Level
• 4.7+
• 238

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

• IntermediateSkill Level
• 4.7+
• 236

Begin your journey with Scala, a popular language for scalable applications and data engineering infrastructure.

• IntermediateSkill Level
• 4.7+
• 234

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.

• BasicSkill Level
• 4.7+
• 233

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

• AdvancedSkill Level
• 4.6+
• 231

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

• IntermediateSkill Level
• 4.7+
• 228

Learn the basics of A/B testing in R, including how to design experiments, analyze data, predict outcomes, and present results through visualizations.

• IntermediateSkill Level
• 4.6+
• 227

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

• AdvancedSkill Level
• 4.5+
• 226

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

• AdvancedSkill Level
• 4.6+
• 224

Learn key techniques to optimize Java performance, from algorithm efficiency to JVM tuning and multithreading.

• IntermediateSkill Level
• 4.3+
• 224

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

• AdvancedSkill Level
• 4.7+
• 218

Develop a better intuition for advanced probability, risk assessment, and simulation techniques to make data-driven business decisions with confidence.

• IntermediateSkill Level
• 4.4+
• 218

Learn to use the Census API to work with demographic and socioeconomic data.

• IntermediateSkill Level
• 4.5+
• 217

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

• BasicSkill Level
• 4.5+
• 209

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

• IntermediateSkill Level
• 4.2+
• 207

Azure Security

• BasicSkill Level
• 4.6+
• 206

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

• AdvancedSkill Level
• 4.5+
• 206

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

• BasicSkill Level
• 4.6+
• 204

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

• BasicSkill Level
• 4.5+
• 204

Get inspired by AI tools to automate prospecting, draft personalized emails, and streamline CRM tasks using Microsoft Copilot for sales.

• BasicSkill Level
• 4.5+
• 204

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

• IntermediateSkill Level
• 4.5+
• 199

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

• AdvancedSkill Level
• 4.4+
• 198

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

• BasicSkill Level
• 4.7+
• 197

Learn business valuation with real-world applications and case studies using discounted cash flows (DCF).

• IntermediateSkill Level
• 4.5+
• 197

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+
• 195

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

• IntermediateSkill Level
• 4.5+
• 195

Learn how to pull character strings apart, put them back together and use the stringr package.

• IntermediateSkill Level
• 4.1+
• 193

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

• AdvancedSkill Level
• 4.7+
• 191

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

• AdvancedSkill Level
• 4.4+
• 190

Learn to use the Bioconductor package limma for differential gene expression analysis.