This comprehensive Data Science and AI full course by Edureka provides a complete learning path for beginners and professionals who want to master data science concepts from scratch. The course is structured as a 12-hour deep dive into essential topics in data science, machine learning, and artificial intelligence.
It begins with an introduction to data science, explaining what data scientists do and why the field is important in modern industries. It then moves into core fundamentals such as statistics, probability, and the data lifecycle, which are essential for understanding how data is collected, processed, and analyzed.
The course also covers a wide range of machine learning algorithms including linear regression, logistic regression, decision trees, random forests, KNN, Naive Bayes, SVM, clustering techniques, and reinforcement learning. It further introduces deep learning concepts and tools like Keras.
In addition to technical topics, the course provides a clear roadmap for becoming a data scientist, along with interview preparation guidance and comparisons between data science and data analytics.
By the end of this course, learners will have a strong foundation in data science, machine learning, and AI, enabling them to start building real-world projects or pursue advanced studies in the field
