Courses
E-Learning
Curriculum
- Sl. No.
- Chapter
- Chapter - 1
- Getting Started With Python
- Chapter - 2
- Python for Data Science(NumPy, Pandas , Matplotlib , Seaborn)
- Chapter - 3
- Exploratory Data Analysis
- Chapter - 4
- Data Analysis Using SQL
- Chapter - 5
- Statistics
- Chapter - 6
- Hypothesis Testing
- Chapter - 7
- Machine Learning :- Supervised Learning (Regression)
- Chapter - 8
- Logistic Regression
- Chapter - 9
- Decision Trees
- Chapter - 10
- Classification Techniques - CART
- Chapter - 11
- Support Vector Machine(SVM)
- Chapter - 12
- Unsupervised Learning : Clustering
- Chapter - 13
- Principal Component Analysis (PCA)
- Chapter - 14
- Ensemble Modelling
- Chapter - 15
- BI Tools:- Tableau Basics
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