Introduction to Data Science with Python

Coursework

• Introduction: 

  • • Definition, 

    • Scope of Data Science, 

    • Softwares required for Data Science, 

    • Introduction of Python. 

• Descriptive Statistics with Python: 

  • • Data Preparation, 

    • Exploratory Data Analysis, 

    • Estimation of different statistics, 

• Statistical Inference with Python: 

  • • The Frequentist Approach, 

    • Measuring the Variability in Estimates, 

    • Point and Interval Estimates, 

    • Hypothesis Testing. 

• Regression Analysis with Python: 

  • • Linear Regression, 

    • Sparse Model, 

    • Logistic Regression. 

• Supervised Learning: 

  • • Learning Curves, 

    • Training, Validation and Test, 

    • Generalities Concerning Learning Models, 

    • Support Vector Machines, 

    • Random Forest.