Python for Data Science | NPTEL Week 0 Solution

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.

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:
Sequence data types and associated operations
• Strings
• Lists
• Arrays
• Tuples
• Dictionary
• Sets
• Range

NumPy
• ndArray
Week 3:
•Pandas dataframe and dataframe related operations on Toyota Corolla dataset
Reading files
Exploratory data analysis
Data preparation and preprocessing
•Data visualization on Toyoto Corolla dataset using matplotlib and seaborn libraries
Scatter plot
Line plot
Bar plot
Histogram
Box plot
Pair plot
•Control structures using Toyota Corolla dataset
if-else family
for loop
for loop with if break
while loop
•Functions

Week 4: CASE STUDY

•Regression
Predicting price of pre-owned cars
•Classification
Classifying personal income