Courses

Data Science

Subject Length & Timing

Subject Length (Week-ends) Timing
Python 3 weeks 9AM-11AM (IST)
Basic Statistics and Linear Algebra 4 weeks 9AM-11AM (IST)
Data Science 5 weeks 9AM-11AM (IST)

Subject: Python

Days Topics P & A
Day 1 Data Types (Practical + Assignment)
Day 2 Condition Statements and Looping Constructs (Practical + Assignment)
Day 3 Functions and Classes and imports (Practical + Assignment)
Day 4 Files , Directories and Databases (Practical + Assignment)
Day 5 Wrap up (Practical + Assignment)
Day 6 Case Study (Practical + Assignment)

Subject: Basic​ ​Statistics​ ​and​ ​Linear​ ​Algebra

Days Topics P & A
Day 1 Numpy (Practical + Assignment)
Day 2 Vectors (Practical + Assignment)
Day 3 Matrices - I (Practical + Assignment)
Day 4 Matrices - I (Practical + Assignment)
Day 5 Pandas (Practical + Assignment)
Day 6 Introduction to Statistics (Practical + Assignment)
Day 7 Probability, Probability Distributions (Practical + Assignment)
Day 8 Hypothesis Testing (Practical + Assignment)

Subject: Data​ ​Science

Days Topics P & A
Day 1 Introduction to Data Science, Matplotlib (Practical + Assignment)
Day 2 Data Carpentry (Practical + Assignment)
Day 3 Dimensionality Reduction and Outlier Detection (Practical + Assignment)
Day 4 Linear Regression (Practical + Assignment)
Day 5 Logistic Regression (Practical + Assignment)
Day 6 K-Means clustering (Practical + Assignment)
Day 7 Hierarchical, Kernel and Ensemble Methods (Practical + Assignment)
Day 8 Basic Neural Networks (Practical + Assignment)
Day 9 Visual Storytelling (Practical + Assignment)
Day 10 Case Study: Naive Bayes and Text Classification (Practical + Assignment)