Data | Web

Shekhar

Biswas

Syllabus

Statistics

  • Introduction to Statistics

  • Probability and its Applications
  • Hypothesis Testing
  • A/B testing
  • Project

 

Python

  • Introduction to Python

  • Data types in Python
  • Data Structure (List, Dictionary etc.)
  • Jupyter notebook
  • File handling and Loop
  • Pandas, NumPy
  • Descriptive statistics
  • Data frame handling
  • Data Cleaning 
  • Handling JSON file
  • Web Scraping with Beautifulsoup
  • NLP
  • Google Colab
  • Level Up Python Skills 
  • Project 1
  • Project 2

 

Data Visualization

  • Matplotlib, Seaborn

  • Histograms, Line & Bar plots
  • Violin plots
  • Plotly
  • Plotly Dash 
  • Project 

Machine Learning

  • Introduction

  • Workflow basics
  • Feature engineering
  • Scikit Learn
  • Modelling
  • Model parameters (Grid serach CV)
  • Linear Regression
  • Logistic regression
  • KNN
  • SVM
  • Project 

Github

  • Introduction to Git

  • Github

SQL

  • Introduction to SQL

  • Database Management system
  • Database query
  • Setting up Database
  • Complex queries

Analytics

  • Google Analytics

  • Google Trends