Data Science With Python

DATA SCIENCE WITH PYTHON


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Introduction of DataScience

  • What is DataScience
  • Install Python and Anaconda
  • Installing packages: numpy, pandas, matplotlib, sklearn

Python

  • Introduction to Python
  • Flow Control (If, for, while) Statements
  • Data Structures
    • Numbers
    • Lists
    • Tuples
    • Dictionary
    • Strings
  • Functions and classes in Python

Numpy

  • Ndarray Object
  • Data Types in Numpy
  • Array Attributes and Manipulation in Numpy
  • Indexing & Slicing
  • Iterating Over Array
  • Binary Operators in Numpy
  • Mathematical Functions in Numpy
  • Arithmetic Operations in Numpy
  • Matrix Library in Numpy

Pandas

  • Data Structures in Pandas
  • Series and DataFrame in Pandas
  • Basic Functions in Pandas
  • Iteration
  • Sorting
  • Reindexing
  • Indexing and Selecting Data
  • Missing Data
  • Groupby
  • Merging/ Joining
  • Concatenation
  • Categorical Data

Matplotlib & Seaborne

  • 2D Plotting with matplotlib
  • Plotting with keyword strings
  • Plotting with categorical variables
  • Analyzing data with seaborne

Scikit-Learn

  • Regression
    • Simple Linear Regression
    • Multiple Linear Regression
    • Decision Tree Regression
    • Random Forest Regression
  • Classification
    • Support Vector Classification(SVM)
    • K - Nearest Neighbour Algorithm(KNN)
    • Naive Bayes Classification
  • Clustering
    • K-means Clustering Algorithm

Project

  • Case Study on Titanic Data
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  • Exposure with Industry Experts.
  • Hands on Practice.
  • Certificate of Participation by All India Council for Machine Learning & Automation
  • Free AICRA student membership.