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Data Science Advance
Explore and master the fundamentals of Data Science Advance
You've not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take mock test.Chapter 1
Introduction to Advanced Data Science
Chapter 2
Data Wrangling and Feature Engineering
Chapter 3
Advanced Data Visualization Techniques
Chapter 4
Statistical Inference and Hypothesis Testing
Chapter 5
Supervised Learning – Advanced Algorithms
Chapter 6
Unsupervised Learning – Clustering & Dimensionality Reduction
Chapter 7
Ensemble Methods – Bagging, Boosting, and Stacking
Chapter 8
Deep Learning and Neural Networks
Chapter 9
Natural Language Processing (NLP)
Chapter 10
Time Series Analysis and Forecasting
Chapter 11
Recommender Systems
Chapter 12
Model Evaluation and Validation
Chapter 13
Big Data Technologies (Hadoop, Spark)
Chapter 14
Machine Learning Pipelines and Automation
Chapter 15
Cloud Computing in Data Science (AWS,Azure, GCP)
Chapter 16
Ethics and Responsible AI
Chapter 17
Case Studies and Real-World Projects
Chapter 18
Data Science for Business and Decision- Making
Chapter 19
Advanced SQL and NoSQL for Data Science
Chapter 20