Data, AI, and Cloud Courses

• IntermediateSkill Level
• 4.4+
• 1.2K

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

• IntermediateSkill Level
• 4.6+
• 1.2K

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

• IntermediateSkill Level
• 4.7+
• 1.2K

Explore the latest techniques for running the Llama LLM locally and integrating it within your stack.

• IntermediateSkill Level
• 4.6+
• 1.1K

Learn fundamental natural language processing techniques using Python and how to apply them to extract insights from real-world text data.

• IntermediateSkill Level
• 4.7+
• 1.1K

Create new features to improve the performance of your Machine Learning models.

• IntermediateSkill Level
• 4.6+
• 1.1K

Master Apache Kafka! From core concepts to advanced architecture, learn to create, manage, and troubleshoot Kafka for real-world data streaming challenges!

• IntermediateSkill Level
• 4.6+
• 1.1K

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

• IntermediateSkill Level
• 4.7+
• 1.1K

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

• IntermediateSkill Level
• 4.4+
• 1.1K

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
• 4.4+
• 1.1K

Learn to clean data as quickly and accurately as possible to help you move from raw data to awesome insights.

• IntermediateSkill Level
• 4.7+
• 1.1K

In this course you will learn the basics of machine learning for classification.

• IntermediateSkill Level
• 4.3+
• 1K

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

• IntermediateSkill Level
• 4.7+
• 1K

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

• IntermediateSkill Level
• 4.6+
• 974

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

• IntermediateSkill Level
• 4.4+
• 931

Master sampling to get more accurate statistics with less data.

• IntermediateSkill Level
• 4.6+
• 906

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

• IntermediateSkill Level
• 4.6+
• 889

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

• IntermediateSkill Level
• 4.6+
• 857

Learn to start developing deep learning models with Keras.

• IntermediateSkill Level
• 4.6+
• 843

Learn the core techniques necessary to extract meaningful insights from time series data.

• IntermediateSkill Level
• 4.7+
• 833

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

• IntermediateSkill Level
• 4.7+
• 814

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

• IntermediateSkill Level
• 4.6+
• 807

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

• IntermediateSkill Level
• 4.3+
• 806

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

• IntermediateSkill Level
• 4.4+
• 798

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

• IntermediateSkill Level
• 4.4+
• 790

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

• IntermediateSkill Level
• 4.7+
• 757

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

• IntermediateSkill Level
• 4.4+
• 716

Learn how to design Power BI visualizations and reports with users in mind.

• IntermediateSkill Level
• 4.5+
• 701

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

• IntermediateSkill Level
• 4.7+
• 699

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

• IntermediateSkill Level
• 4.6+
• 699

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