Data, AI, and Cloud Courses

• AdvancedSkill Level
• 4.6+
• 144

In this course, youll prepare for the most frequently covered statistical topics from distributions to hypothesis testing, regression models, and much more.

• IntermediateSkill Level
• 4.3+
• 786

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

• IntermediateSkill Level
• 4.8+
• 144

Strengthen your knowledge of the topics covered in Manipulating Time Series in R using real case study data.

• IntermediateSkill Level
• 4.8+
• 61

Learn mixture models: a convenient and formal statistical framework for probabilistic clustering and classification.

• IntermediateSkill Level
• 4.5+
• 1.6K

In this course, you will be introduced to unsupervised learning through techniques such as hierarchical and k-means clustering using the SciPy library.

• BasicSkill Level
• 4.7+
• 24.2K

An introduction to data science with no coding involved.

• BasicSkill Level
• 4.6+
• 4.4K

Learn how to use GitHubs various features, navigate the interface and perform everyday collaborative tasks.

• BasicSkill Level
• 4.6+
• 2K

Gain a clear understanding of data privacy principles and how to implement privacy and security processes.

• IntermediateSkill Level
• 4.4+
• 1.7K

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

• AdvancedSkill Level
• 4.5+
• 1.4K

Master Git’s advanced features to streamline data science and engineering workflows, from complex merging to large-scale project optimization.

• BasicSkill Level
• 4.5+
• 1.3K

Learn how to create a PostgreSQL database and explore the structure, data types, and how to normalize databases.

• AdvancedSkill Level
• 4.6+
• 1.3K

Learn how to use FastAPI to develop APIs that support AI models, built to meet real-world demands.

• BasicSkill Level
• 4.6+
• 1.3K

Master AWS security, governance, and cost optimization to prepare for the Cloud Practitioner certification.

• BasicSkill Level
• 4.7+
• 1.2K

Learn about data science for managers and businesses and how to use data to strengthen your organization.

• BasicSkill Level
• 4.4+
• 1.2K

Data storytelling is a high-demand skill that elevates analytics. Learn narrative building and visualizations in this course with a college major dataset!

• IntermediateSkill Level
• 4.7+
• 1.1K

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

• BasicSkill Level
• 4.6+
• 967

Master Azure Management and Governance with our comprehensive course, ideal for data professionals seeking cloud expertise.

• AdvancedSkill Level
• 4.4+
• 683

Discover the exciting world of Deep Learning for Text with PyTorch and unlock new possibilities in natural language processing and text generation.

• AdvancedSkill Level
• 4.4+
• 663

Prepare for your next coding interviews in Python.

• BasicSkill Level
• 4.5+
• 516

Learn to bring data into Microsoft Fabric, covering Pipelines, Dataflows, Shortcuts, Semantic Models, security, and model refresh.

• IntermediateSkill Level
• 4.6+
• 385

Analyze text data in R using the tidy framework.

• BasicSkill Level
• 4.3+
• 372

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

• BasicSkill Level
• 4.6+
• 352

Learn how to prepare and organize your data for predictive analytics.

• IntermediateSkill Level
• 4.3+
• 273

Extract and visualize Twitter data, perform sentiment and network analysis, and map the geolocation of your tweets.

• AdvancedSkill Level
• 4.4+
• 272

Sharpen your knowledge and prepare for your next interview by practicing Python machine learning interview questions.

• IntermediateSkill Level
• 4.6+
• 263

Learn how to develop deep learning models with Keras.

• IntermediateSkill Level
• 4.1+
• 189

In this course, youll learn how to collect Twitter data and analyze Twitter text, networks, and geographical origin.

• IntermediateSkill Level
• 3.8+
• 151

Learn the bag of words technique for text mining with R.

• IntermediateSkill Level
• 4.6+
• 120

Gain an overview of all the skills and tools needed to excel in Natural Language Processing in R.

• AdvancedSkill Level
• 4.8+
• 108

Learn to process sensitive information with privacy-preserving techniques.