Data, AI, and Cloud Courses

• IntermediateSkill Level
• 4.5+
• 499

Explore association rules in market basket analysis with Python by bookstore data and creating movie recommendations.

• IntermediateSkill Level
• 4.5+
• 491

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

• IntermediateSkill Level
• 4.6+
• 487

Learn how to detect fraud using Python.

• IntermediateSkill Level
• 4.5+
• 486

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

• AdvancedSkill Level
• 4.4+
• 485

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

• IntermediateSkill Level
• 4.5+
• 481

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

• BasicSkill Level
• 4.5+
• 480

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

• IntermediateSkill Level
• 4.6+
• 478

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

• IntermediateSkill Level
• 4.5+
• 473

Use RNA-Seq differential expression analysis to identify genes likely to be important for different diseases or conditions.

• AdvancedSkill Level
• 4.4+
• 468

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

• IntermediateSkill Level
• 4.7+
• 464

Take your reporting skills to the next level with Tableau’s built-in statistical functions.

• IntermediateSkill Level
• 4.3+
• 464

Learn how to ensure clean data entry and build dynamic dashboards to display your marketing data.

• BasicSkill Level
• 4.8+
• 463

Julia is a new programming language designed to be the ideal language for scientific computing, machine learning, and data mining.

• BasicSkill Level
• 4.6+
• 454

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

• AdvancedSkill Level
• 4.6+
• 453

Learn to conduct image analysis using Keras with Python by constructing, training, and evaluating convolutional neural networks.

• AdvancedSkill Level
• 4.3+
• 451

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

• AdvancedSkill Level
• 4.7+
• 450

Extend your regression toolbox with the logistic and Poisson models and learn to train, understand, and validate them, as well as to make predictions.

• IntermediateSkill Level
• 4.7+
• 449

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

• IntermediateSkill Level
• 4.5+
• 448

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

• IntermediateSkill Level
• 4.7+
• 446

Analyze text data in R using the tidy framework.

• BasicSkill Level
• 4.6+
• 446

Learn how to use tree-based models and ensembles to make classification and regression predictions with tidymodels.

• IntermediateSkill Level
• 4.5+
• 440

Learn the fundamentals of how to build conversational bots using rule-based systems as well as machine learning.

• AdvancedSkill Level
• 4.6+
• 436

Learn how to build advanced and effective machine learning models in Python using ensemble techniques such as bagging, boosting, and stacking.

• IntermediateSkill Level
• 4.5+
• 434

Learn how to use Power BI for supply chain analytics in this case study. Create a make vs. buy analysis tool, calculate costs, and analyze production volumes.

• AdvancedSkill Level
• 4.3+
• 430

Learn to build pipelines that stand the test of time.

• BasicSkill Level
• 4.5+
• 428

In this case study, you’ll use visualization techniques to find out what skills are most in-demand for data scientists, data analysts, and data engineers.

• IntermediateSkill Level
• 4.7+
• 426

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

• BasicSkill Level
• 4.7+
• 417

Learn key financial concepts such as capital investment, WACC, and shareholder value.

• IntermediateSkill Level
• 4.6+
• 416

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

• AdvancedSkill Level
• 4.6+
• 415

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