Data, AI, and Cloud Courses

• IntermediateSkill Level
• 4.6+
• 451

In this course, students will learn to write queries that are both efficient and easy to read and understand.

• IntermediateSkill Level
• 4.5+
• 448

Explore ways to work with date and time data in SQL Server for time series analysis

• AdvancedSkill Level
• 4.5+
• 443

Create more accurate and reliable RAG systems with Graph RAG and hybrid RAG.

• IntermediateSkill Level
• 4.7+
• 439

Detect anomalies in your data analysis and expand your Python statistical toolkit in this four-hour course.

• IntermediateSkill Level
• 4.5+
• 437

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

• IntermediateSkill Level
• 4.5+
• 436

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

• IntermediateSkill Level
• 4.8+
• 429

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+
• 428

Learn what Bayesian data analysis is, how it works, and why it is a useful tool to have in your data science toolbox.

• BasicSkill Level
• 4.4+
• 426

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

• IntermediateSkill Level
• 4.6+
• 423

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

• BasicSkill Level
• 4.5+
• 423

Learn how to make predictions about the future using time series forecasting in R including ARIMA models and exponential smoothing methods.

• IntermediateSkill Level
• 4.6+
• 422

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

• BasicSkill Level
• 4.4+
• 421

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

• IntermediateSkill Level
• 4.3+
• 421

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

• IntermediateSkill Level
• 4.5+
• 420

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

• AdvancedSkill Level
• 4.5+
• 415

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

• IntermediateSkill Level
• 4.3+
• 414

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.

• AdvancedSkill Level
• 4.4+
• 413

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

• IntermediateSkill Level
• 4.6+
• 403

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

• BasicSkill Level
• 4.7+
• 401

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

• AdvancedSkill Level
• 4.7+
• 399

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

• IntermediateSkill Level
• 4.5+
• 399

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

• IntermediateSkill Level
• 4.5+
• 399

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

• AdvancedSkill Level
• 4.7+
• 395

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.

• IntermediateSkill Level
• 4.7+
• 395

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

• IntermediateSkill Level
• 4.3+
• 386

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

• BasicSkill Level
• 4.6+
• 385

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

• BasicSkill Level
• 4.4+
• 383

Master data fluency! Learn skills for individuals and organizations, understand behaviors, and build a data-fluent culture.

• IntermediateSkill Level
• 4.7+
• 381

Learn the essentials of parsing, manipulating and computing with dates and times in R.

• IntermediateSkill Level
• 4.5+
• 381

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