Data, AI, and Cloud Courses

• IntermediateSkill Level
• 4.5+
• 444

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

• IntermediateSkill Level
• 4.3+
• 443

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

• IntermediateSkill Level
• 4.6+
• 437

Learn how to build interactive and insight-rich dashboards with Dash and Plotly.

• BasicSkill Level
• 4.4+
• 436

Explore Power BI Service, master the interface, make informed decisions, and maximize the power of your reports.

• IntermediateSkill Level
• 4.6+
• 434

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+
• 432

Learn the fundamentals of exploring, manipulating, and measuring biomedical image data.

• IntermediateSkill Level
• 4.5+
• 430

Learn to analyze data over time with this practical course on Time Series Analysis in Power BI. Work with real datasets & practice common techniques.

• BasicSkill Level
• 4.3+
• 427

Learn how to build a graphical dashboard with Google Sheets to track the performance of financial securities.

• IntermediateSkill Level
• 4.6+
• 422

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

• IntermediateSkill Level
• 4.6+
• 422

Learn fundamental probability concepts like random variables, mean and variance, probability distributions, and conditional probabilities.

• BasicSkill Level
• 4.8+
• 420

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

• AdvancedSkill Level
• 4.4+
• 418

Learn to build pipelines that stand the test of time.

• BasicSkill Level
• 4.5+
• 417

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

• IntermediateSkill Level
• 4.5+
• 414

Learn how to identify, analyze, remove and impute missing data in Python.

• BasicSkill Level
• 4.6+
• 411

Solidify your decision science skills by designing data-informed frameworks and implementing efficient solutions.

• IntermediateSkill Level
• 4.7+
• 406

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

• AdvancedSkill Level
• 4.6+
• 405

Learn how to write recursive queries and query hierarchical data structures.

• IntermediateSkill Level
• 4.5+
• 405

Learn survey design using common design structures followed by visualizing and analyzing survey results.

• IntermediateSkill Level
• 4.5+
• 402

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
• 4.7+
• 400

Discover how to talk to your data using text-to-query AI agents with MongoDB and LangGraph.

• IntermediateSkill Level
• 4.7+
• 400

Learn to build recommendation engines in Python using machine learning techniques.

• IntermediateSkill Level
• 4.7+
• 399

Build AI teams that work together, automate workflows, and generate content with CrewAI.

• AdvancedSkill Level
• 4.5+
• 396

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

• BasicSkill Level
• 4.4+
• 395

Learn how to transform and analyze data within your Microsoft Fabric account

• IntermediateSkill Level
• 4.6+
• 390

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

• IntermediateSkill Level
• 4.8+
• 389

Learn the most important functions for manipulating, processing, and transforming data in SQL Server.

• BasicSkill Level
• 4.7+
• 389

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

• BasicSkill Level
• 4.3+
• 389

Test a chatbot that matches customers with ideal skincare products using your prompting skills for personalized results.

• IntermediateSkill Level
• 4.7+
• 381

Learn about MLOps architecture, CI/CD/CM/CT techniques, and automation patterns to deploy ML systems that can deliver value over time.

• AdvancedSkill Level
• 4.6+
• 380

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