Data Science Training Videos (English)

   Tuesday, December 30, 2025   

Starting a new Lecture Notes Series on Data Science Training Videos

Youtube Lecture Playlist Credits 

Channel Name: edureka!

So Let Us Start to This Journey of Learning 

Data Science Training Videos By Lecture Notes together!

Lecture 1: Class - 1 Data Science Training | What Is Data Science? Introduction To Data Science | Edureka

Lecture 2: Class - 2 Data Science Training | Who Is A Data Scientist? - Roles & Responsibilities | Edureka

Lecture 3: Class - 3 Data Science Training | Supervised Machine Learning Tutorial - Linear Regression | Edureka

Lecture 4: Class - 4 Data Science Training | Logistic Regression Tutorial For Beginners | Edureka

Lecture 5: Clas - 5 Data Science Training | Decision Tree Classifier Explained | Edureka

Lecture 6: Class - 6 Data Science Training | Random Forest Classifier Tutorial For Beginners | Edureka

Lecture 7: Class - 7 Data Science Training | K-Nearest Neighbors (KNN) Algorithm Tutorial | Edureka

Lecture 8: Class - 8 Data Science Training | K-Means Clustering Algorithm Tutorial For Beginners | Edureka

Lecture 9: Class - 9 Data Science Training | Time Series Analysis Tutorial For Beginners | Edureka

Lecture 10: Class - 10 Data Science Training | Reinforcement Learning Tutorial For Beginners | Edureka

Lecture 11: Classification in Machine Learning | Machine Learning Tutorial | Python Training | Edureka

Lecture 12: The Future of AI | How will Artificial Intelligence Change the World in 2020? | Edureka

Lecture 13: What is Cognitive AI? Cognitive Computing vs Artificial Intelligence | AI Tutorial | Edureka

Lecture 14: Statistics and Probability for Data Science | Data Science | Edureka | ML/DS Rewind - 1

Lecture 15: How to become Data Scientist | Data Scientist Roadmap | Data Science Training | Edureka

Lecture 16: Gradient Descent Machine Learning | Gradient Descent Algorithm | Stochastic Gradient Descent Edureka

Lecture 17: Hierarchical Clustering | Agglomerative and Divisive Hierarchical Clustering Explained | Edureka

Lecture 18: Confusion Matrix in Machine Learning | Binary and Multiclass Classification Examples | Edureka

Lecture 19: Random Forest Algorithm | Random Forest Complete Explanation | Data Science Training | Edureka

Lecture 20: Feature selection in Machine Learning | Feature Selection Techniques with Examples | Edureka

Lecture 21: Data Scientist vs Data Analyst | Difference between Data Scientist and Data Analyst | Edureka