| 1 | Data Science Tutorials | Technical Tutorials | Comprehensive data science course covering Python, statistics, machine learning, data engineering, and real-world problem-solving. Become a proficient data scientist. |
| 2 | Machine Learning for Data Science | University Courses | Explore key machine learning concepts and algorithms for data science, including dimensionality reduction, clustering, and probabilistic modeling. |
| 3 | Python for Data Science, AI & Development | Video Courses | Comprehensive guide to using Python for data science, artificial intelligence, and software development. Learn Python, access data, and earn a shareable career certificate. |
| 4 | Machine Learning Specialization | Video Courses | Foundational online program on machine learning and AI applications, taught by Andrew Ng of DeepLearning.AI and Stanford Online. |
| 5 | Learn Data Science | Video Courses | Dive into the creative and inclusive world of Data Science. Gain valuable insights through coding, statistics, and math. Accessible introduction for non-technical learners. |
| 6 | Introduction to Data Science in Python | Video Courses | Gain a foundational understanding of data science and develop job-relevant skills with hands-on projects in this intermediate-level course from the University of Michigan. |
| 7 | Data Visualization | Video Courses | Learn data visualization with Seaborn, line charts, bar charts, heatmaps, scatter plots, histograms, and more. Hands-on exercises and step-by-step tutorials for beginners and experts. |
| 8 | Data Cleaning | Video Courses | Master efficient workflows for cleaning real-world, messy data with techniques for handling missing values, scaling, and more. Ideal for data science journey. |
| 9 | Python Data Science Handbook | Technical Tutorials | Comprehensive guide to using Python for data science, covering data analysis, machine learning, and visualization with practical examples and tutorials. |
| 10 | The Julia Express | Technical Tutorials | Comprehensive guide to Julia programming for data science and scientific computing. Quick introduction, essential topics, and solid foundation for new and experienced users. |
| 11 | JavaScript for Data Science | Technical Tutorials | Comprehensive guide to using JavaScript for data science, covering data visualization, web development, and programming for data analysis. |
| 12 | A First Encounter with Machine Learning | Technical Tutorials | Explore fundamental machine learning concepts, algorithms, and applications in data science. Suitable for beginners interested in learning about this rapidly growing field. |
| 13 | A Comprehensive Guide to Machine Learning | Technical Tutorials | Detailed resource on machine learning, data science, and artificial intelligence. Authored by experienced experts, suitable for beginners and experienced learners. |
| 14 | Mining of Massive Datasets | Technical Tutorials | Comprehensive guide to data mining, machine learning, and analysis of massive datasets, including techniques for similarity search, data-stream processing, and graph analysis. |
| 15 | High-Dimensional Data Analysis with Low-Dimensional Models: Principles, Computation, and Applications | Technical Tutorials | Comprehensive exploration of high-dimensional data analysis, covering real-world applications in medical imaging, computer vision, and more. Valuable resource for researchers and practitioners. |
| 16 | Hands-On Data Visualization | Technical Tutorials | Comprehensive guide to data visualization techniques and best practices. Learn to design interactive charts and customized maps for your website using free and easy-to-learn tools. |
| 17 | Fundamentals of Data Visualization | Technical Tutorials | Comprehensive guide to understanding the principles and techniques of data visualization, covering design, perception, and communication of visual data. Practical insights and tools for creating effective visualizations. |
| 18 | Foundations of Data Science | Technical Tutorials | Dive into the core principles and techniques of data science with this comprehensive course by renowned experts. Gain a strong foundation in algorithms, machine learning, and more. |
| 19 | Data Mining Concepts and Techniques | Technical Tutorials | Comprehensive coverage of data mining concepts and techniques, including data preprocessing, classification, clustering, and association rule mining. Essential resource for students, researchers, and professionals in data mining, machine learning, and data analysis. |
| 20 | A Programmers Guide to Data Mining | Technical Tutorials | Comprehensive guide to data mining techniques, including recommendation systems, classification, and clustering. Beginner-friendly introduction for programmers wi |