Data, AI, and Cloud Courses

• IntermediateSkill Level
• 4.5+
• 481

Learn all about the advantages of Bayesian data analysis, and apply it to a variety of real-world use cases!

• IntermediateSkill Level
• 4.4+
• 471

Discover different types in data modeling, including for prediction, and learn how to conduct linear regression and model assessment measures in the Tidyverse.

• AdvancedSkill Level
• 4.7+
• 467

Learn how to calculate meaningful measures of risk and performance, and how to compile an optimal portfolio for the desired risk and return trade-off.

• BasicSkill Level
• 4.8+
• 466

Apply AI in finance to analyze data, prompt effectively, and automate workflows for better decisions.

• AdvancedSkill Level
• 4.5+
• 466

Learn how to make GenAI models truly reflect human values while gaining hands-on experience with advanced LLMs.

• IntermediateSkill Level
• 4.7+
• 463

Create multi-modal systems using OpenAIs text and audio models, including an end-to-end customer support chatbot!

• AdvancedSkill Level
• 4.4+
• 463

Master Databricks with Python: learn to authenticate, manage clusters, automate jobs, and query AI models programmatically.

• IntermediateSkill Level
• 4.5+
• 462

Learn to design and run your own Monte Carlo simulations using Python!

• IntermediateSkill Level
• 4.6+
• 456

Learn to solve real-world optimization problems using Pythons SciPy and PuLP, covering everything from basic to constrained and complex optimization.

• IntermediateSkill Level
• 4.5+
• 445

Learn about AWS Boto and harnessing cloud technology to optimize your data workflow.

• IntermediateSkill Level
• 4.3+
• 442

Learn how to draw conclusions about a population from a sample of data via a process known as statistical inference.

• IntermediateSkill Level
• 4.5+
• 441

Learn to construct compelling and attractive visualizations that help communicate results efficiently and effectively.

• BasicSkill Level
• 4.5+
• 441

Use data manipulation and visualization skills to explore the historical voting of the United Nations General Assembly.

• BasicSkill Level
• 4.4+
• 440

Master travel planning with WanderBot: craft prompts, build confidence, and streamline your next adventure.

• IntermediateSkill Level
• 4.7+
• 439

Develop a strong intuition for how hierarchical and k-means clustering work and learn how to apply them to extract insights from your data.

• IntermediateSkill Level
• 4.6+
• 436

This course will equip you with the skills to analyze, visualize, and make sense of networks using the NetworkX library.

• IntermediateSkill Level
• 4.6+
• 435

You will use Net Revenue Management techniques in Excel for a Fast Moving Consumer Goods company.

• IntermediateSkill Level
• 4.3+
• 432

Leverage the power of Python and PuLP to optimize supply chains.

• AdvancedSkill Level
• 4.5+
• 430

Learn how to manipulate data and create machine learning feature sets in Spark using SQL in Python.

• IntermediateSkill Level
• 4.5+
• 430

Ensure high data quality in data science and data engineering workflows with Pythons Great Expectations library.

• IntermediateSkill Level
• 4.3+
• 423

Shiny is an R package that makes it easy to build interactive web apps directly in R, allowing your team to explore your data as dashboards or visualizations.

• BasicSkill Level
• 4.8+
• 422

Use your knowledge of common spreadsheet functions and techniques to explore Python!

• IntermediateSkill Level
• 4.5+
• 422

Master time series data manipulation in R, including importing, summarizing and subsetting, with zoo, lubridate and xts.

• IntermediateSkill Level
• 4.4+
• 421

Learn how to use Python scripts in Power BI for data prep, visualizations, and calculating correlation coefficients.

• AdvancedSkill Level
• 4.7+
• 420

Learn the gritty details that data scientists are spending 70-80% of their time on; data wrangling and feature engineering.

• BasicSkill Level
• 4.6+
• 411

Learn about the difference between batching and streaming, scaling streaming systems, and real-world applications.

• IntermediateSkill Level
• 4.3+
• 408

In this course youll learn about basic experimental design, a crucial part of any data analysis.

• IntermediateSkill Level
• 4.6+
• 407

Learn about the challenges of monitoring machine learning models in production, including data and concept drift, and methods to address model degradation.

• IntermediateSkill Level
• 4.5+
• 403

Combine text, images, audio, and video with the latest AI models from Hugging Face, and generate new images and videos!

• IntermediateSkill Level
• 4.5+
• 401

Explore the concepts and applications of linear models with python and build models to describe, predict, and extract insight from data patterns.