Introduction
  • Download and Install Anaconda - Windows
  • Download and Install Anaconda - Ubuntu Linux
  • Overview Of Jupyter Notebook
  • Notes About Course
  • Course FAQ
  • Join Online Classroom
  • Introduction
Python crash course
  • Introduction - Python
  • Python - Number, String, Variable
  • Python - List, tuples, Dictionary, Set
  • Python - If/else, Looping
  • Python - Function, Lambda, Map
  • Python
  • Python Exercise
  • Scrap Google home page title.
Data analysis with Numpy
  • Introduction - Numpy - Numerica Python
  • Numpy array
  • Numpy array operations
  • Indexing, Slicing - Numpy array
  • Quiz
  • Numpy Exercise
Data analysis with Pandas
  • Introduction - Pandas
  • Pandas - Introduction to Series
  • Pandas - Introduction to Dataframe
  • Dataframe - Index, Multiindex
  • Handling Missing Data - dropna, fillna
  • Grouping data
  • Read, Write .csv, .html, excel file
  • Visualization of data with pandas
Data Visulization with Matplotlib
  • Introduction
  • Why Visualization ?
  • MatplotLib - Basic plotting, Plotting terminology
  • MatplotLib - Subplots
  • Matplotlib - Special plot
  • Matplotlib
Data visualization - plotly
  • Plotly - introduction
  • Basic plotting - plotly
  • Exercise : Extend Basic Plot
  • Plotly scatter and line chart
  • Plotly - Bar chart
  • Exercise : Extend Bar Chart
  • Plotly - Bubble chart
  • Plotly - Histogram and Distribution plot
  • Plotly
Data visualization with Tableau
  • Introduction to Tableau and Installation
  • Insight -1
  • Insight - 2
  • Load Data in Tableau
  • Save Tableau Worksheet
Introduction to Data
  • Introduction to Data, Continuous and Discrete Data
  • Nominal and Ordinal Data
  • Identify Types of Data
Importing Data in python
  • Introduction
  • Reading Plain text file
  • Reading .csv file
  • Reading Excel and .m Matlab file
  • Read Sqlite Database
  • Fetch Data from Remote file
  • Fetch Data from Facebook API
Data Preprocessing
  • Introduction
  • Reading Data
  • Handling Missing Data
  • Categorical Data
  • Splitting Data in Training and Testing Set
  • Normalize Data
Web Scraping
  • Introduction - Web Scraping
  • What is Web Scraping
  • Web Scraping Process
  • Search Element by TagName and TagByClass
  • How to use developer tools in browser.
  • Web scraping
  • Practical Activity
Exploratory Data analysis
  • EDA of pima indian diabetes dataset
  • Visualize pima indian diabetes dataset
Data transformation and Scaling Data
  • Introduction
  • Rescale data - Standardize data
  • Normalize Data - Binarize Data
  • Practical Activity
Moving towards Machine Learning
  • What is Machine Learning - In Layman term
  • Traditional system of computing vs Machine Learning
  • Formal Definition of Machine Learning
  • How Machine Learning system works
  • Different Types of Machine Learning system- Supervised vs Unsupervised learning
  • Parametric vs Non-parametric machine learning system
  • Machine Learning system design and Scikit learn
  • Machine Learning application