Learn the fundamentals of data science and how to analyze data through simple, practical examples.
Prerequisites: Some basic programming knowledge is recommended.
Level: Beginner
Data ScienceLearn essential Git commands to manage code, track changes, and collaborate. A practical introduction to version control for developers.
Prerequisites: No prior knowledge required
Level: Beginner
Machine LearningGain foundational skills in Python data visualization. Learn to use Matplotlib and Seaborn to create clear, effective plots like line charts, bar graphs, histograms, and scatter plots from your data.
Prerequisites: Basic Python programming skills (variables, data types, loops, functions, importing libraries). Familiarity with NumPy and Pandas is helpful but not strictly required.
Level: Beginner
Machine LearningUnderstand how computers 'see'. This course covers digital image fundamentals, basic image processing techniques, feature detection, and the concepts behind object recognition.
Prerequisites: No prior knowledge required
Level: Beginner
Machine LearningLearn the fundamentals of machine learning, including core concepts, common algorithms like regression and classification, and basic data preparation techniques.
Prerequisites: No prior knowledge required
Level: Beginner
Machine LearningGet started with SQL for data analysis. Learn to query databases, filter results, perform calculations, and combine tables – essential skills for any data scientist.
Prerequisites: No prerequisites
Level: Beginner
Machine LearningLearn the basic concepts of databases, including relational models, SQL queries, and NoSQL alternatives.
Prerequisites: No prior knowledge required
Level: Beginner
Machine LearningLearn the fundamentals of linear algebra and its significance in machine learning with this complete beginner's guide.
Prerequisites: No prior knowledge of linear algebra is required.
Level: Beginner
MathematicsLearn the essentials of probability and statistics to start your path into machine learning.
Prerequisites: No prior knowledge required.
Level: Beginner
MathematicsLearn the calculus essentials for machine learning in this starter course, perfect for newcomers to the area.
Prerequisites: No prior knowledge of calculus is required. Basic mathematical skills are recommended.
Level: Beginner
MathematicsNot sure where to start?
Follow a clear, structured path designed to take you from beginner to achieving your ML goals.