Data, AI, and Cloud Courses

• IntermediateSkill Level
• 4.7+
• 1.3K

Build a customer-support assistant step-by-step with Google’s Agent Development Kit (ADK).

• IntermediateSkill Level
• 4.5+
• 1.3K

Building on your foundational Power Query in Excel knowledge, this intermediate course takes you to the next level of data transformation mastery

• IntermediateSkill Level
• 4.1+
• 1.3K

In this course you will learn how to predict future events using linear regression, generalized additive models, random forests, and xgboost.

• IntermediateSkill Level
• 4.6+
• 1.3K

In this course, you will use T-SQL, the flavor of SQL used in Microsofts SQL Server for data analysis.

• IntermediateSkill Level
• 4.4+
• 1.2K

Master sampling to get more accurate statistics with less data.

• IntermediateSkill Level
• 4.6+
• 1.2K

Bash scripting allows you to build analytics pipelines in the cloud and work with data stored across multiple files.

• IntermediateSkill Level
• 4.6+
• 1.2K

Unlock BigQuerys power: grasp its fundamentals, execute queries, and optimize workflows for efficient data analysis.

• IntermediateSkill Level
• 4.5+
• 1.2K

Gain the essential skills using Scikit-learn, SHAP, and LIME to test and build transparent, trustworthy, and accountable AI systems.

• IntermediateSkill Level
• 4.6+
• 1.1K

Understand the concept of reducing dimensionality in your data, and master the techniques to do so in Python.

• IntermediateSkill Level
• 4.6+
• 1.1K

Build the foundation you need to think statistically and to speak the language of your data.

• IntermediateSkill Level
• 4.7+
• 1.1K

Dive into the world of machine learning and discover how to design, train, and deploy end-to-end models.

• IntermediateSkill Level
• 4.6+
• 1.1K

Learn to perform linear and logistic regression with multiple explanatory variables.

• IntermediateSkill Level
• 4.5+
• 1K

Learn techniques for automated hyperparameter tuning in Python, including Grid, Random, and Informed Search.

• IntermediateSkill Level
• 4.6+
• 1K

Learn the basics of model validation, validation techniques, and begin creating validated and high performing models.

• IntermediateSkill Level
• 4.4+
• 977

Transform almost any dataset into a tidy format to make analysis easier.

• IntermediateSkill Level
• 4.4+
• 975

Learn to create your own Python packages to make your code easier to use and share with others.

• IntermediateSkill Level
• 4.7+
• 966

In this conceptual course (no coding required), you will learn about the four major NoSQL databases and popular engines.

• IntermediateSkill Level
• 4.6+
• 949

Learn how to build your own SQL reports and dashboards, plus hone your data exploration, cleaning, and validation skills.

• IntermediateSkill Level
• 4.3+
• 936

R Markdown is an easy-to-use formatting language for authoring dynamic reports from R code.

• IntermediateSkill Level
• 4.6+
• 932

Learn the practical uses of A/B testing in Python to run and analyze experiments. Master p-values, sanity checks, and analysis to guide business decisions.

• IntermediateSkill Level
• 4.7+
• 931

Learn Snowflake data types and functions to manipulate text, numbers, and dates while building custom functions and pivot tables.

• IntermediateSkill Level
• 4.6+
• 905

Reshape DataFrames from a wide to long format, stack and unstack rows and columns, and wrangle multi-index DataFrames.

• IntermediateSkill Level
• 4.5+
• 885

Evaluate portfolio risk and returns, construct market-cap weighted equity portfolios and learn how to forecast and hedge market risk via scenario generation.

• IntermediateSkill Level
• 4.8+
• 872

Discover Snowflake window functions to solve complex data problems with rankings, partitions, and rolling calculations.

• IntermediateSkill Level
• 4.6+
• 854

Learn the fundamentals of neural networks and how to build deep learning models using TensorFlow.

• IntermediateSkill Level
• 4.6+
• 843

Learn to work with Plain Old Java Objects, master the Collections Framework, and handle exceptions like a pro, with logging to back it all up!

• IntermediateSkill Level
• 4.7+
• 815

Learn how to prepare credit application data, apply machine learning and business rules to reduce risk and ensure profitability.

• IntermediateSkill Level
• 4.3+
• 803

This course is an introduction to linear algebra, one of the most important mathematical topics underpinning data science.

• IntermediateSkill Level
• 4.6+
• 796

Learn to implement custom trading strategies in Python, backtest them, and evaluate their performance!

• IntermediateSkill Level
• 4.6+
• 763

Learn to start developing deep learning models with Keras.