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Online Course

Python for Data Science

Indian Institute of Technology Madras and NPTEL via Swayam

32
Found in Data Science, Python

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Overview

The course aims at equipping participants to be able to use python programming for solving data science problems. INTENDED AUDIENCE: Final Year Undergraduates PRE-REQUISITES: Knowledge of basic data science algorithms INDUSTRY SUPPORT: Honeywell, ABB, Ford, Gyan data pvt. Ltd.

Syllabus

COURSE LAYOUT

Week 1: BASICS OF PYTHON SPYDER (TOOL)
Introduction Spyder
Setting working Directory
Creating and saving a script file
File execution, clearing console, removing variables from environment, clearing environment
Commenting script files
Variable creation
Arithmetic and logical operators
Data types and associated operations
Week 2:
Data Structures
  1. Lists
  2. Tuples
  3. Dictionary
  4. Sets
Numpy
  1. Array
  2. Matrix and associated operations
  3. Linear algebra and related operations
Week 3:
Pandas dataframe and dataframe related operations on Toyota Corolla dataset
  1. Reading files
  2. Exploratory data analysis
  3. Data preparation and preprocessing
Data visualization on Toyoto Corolla dataset using matplotlib and seaborn libraries
  1. Scatter plot
  2. Line plot
  3. Bar plot
  4. Histogram
  5. Box plot
  6. Pair plot
Control structures using Toyota Corolla dataset
  1. if-else family
  2. for loop
  3. for loop with if break
  4. while loop
Functions
Week 4:CASE STUDY
Regression
  1. Predicting price of pre-owned cars
Classification
  1. Classifying personal income

Taught by

Prof. Raghunathan Rengasamy

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