Data, AI, and Cloud Courses

• IntermediateSkill Level
• 4.7+
• 505

Learn how to detect fraud using Python.

• BasicSkill Level
• 4.6+
• 502

Learn to effectively convey your data with an overview of common charts, alternative visualization types, and perception-driven style enhancements.

• IntermediateSkill Level
• 4.6+
• 500

The Generalized Linear Model course expands your regression toolbox to include logistic and Poisson regression.

• IntermediateSkill Level
• 4.4+
• 499

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

• BasicSkill Level
• 4.3+
• 492

Master core concepts about data manipulation such as filtering, selecting and calculating groupwise statistics using data.table.

• IntermediateSkill Level
• 4.7+
• 487

This course provides an intro to clustering and dimensionality reduction in R from a machine learning perspective.

• IntermediateSkill Level
• 4.4+
• 485

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

• IntermediateSkill Level
• 4.7+
• 480

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

• IntermediateSkill Level
• 4.5+
• 474

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

• AdvancedSkill Level
• 4.4+
• 473

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

• IntermediateSkill Level
• 4.6+
• 472

Parse data in any format. Whether its flat files, statistical software, databases, or data right from the web.

• BasicSkill Level
• 4.3+
• 472

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

• AdvancedSkill Level
• 4.7+
• 465

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

• BasicSkill Level
• 4.6+
• 464

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

• BasicSkill Level
• 4.7+
• 459

Become an expert in fitting ARIMA (autoregressive integrated moving average) models to time series data using R.

• IntermediateSkill Level
• 4.5+
• 459

Visualize seasonality, trends and other patterns in your time series data.

• IntermediateSkill Level
• 4.7+
• 455

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

• IntermediateSkill Level
• 4.3+
• 453

Learn how to efficiently collect and download data from any website using R.

• BasicSkill Level
• 4.5+
• 450

Master strategic data management for business excellence.

• IntermediateSkill Level
• 4.7+
• 448

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
• 4.7+
• 445

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

• BasicSkill Level
• 4.5+
• 445

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

• AdvancedSkill Level
• 4.6+
• 443

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

• BasicSkill Level
• 4.5+
• 441

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.

• BasicSkill Level
• 4.9+
• 440

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

• AdvancedSkill Level
• 4.3+
• 437

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

• AdvancedSkill Level
• 4.6+
• 436

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+
• 435

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

• IntermediateSkill Level
• 4.6+
• 435

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

• IntermediateSkill Level
• 4.4+
• 434

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