Python for Data Science

 Exam Preparation PDF

ABOUT THE COURSE : 
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

Summary

Course Status :	Ongoing
Course Type :	Elective
Duration :	4 weeks
Category :	Computer Science and Engineering Artificial Intelligence Data Science
Credit Points :	1
Level :	Undergraduate
Start Date :	24 Jul 2023
End Date :	18 Aug 2023
Enrollment Ends :	07 Aug 2023
Exam Registration Ends :	21 Aug 2023
Exam Date :	24 Sep 2023 IST

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

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

Books and references

1. Introduction to linear algebra - by Gilbert Strang 2. Applied statistics and probability for engineers – by Douglas Montgomery 3. Mastering python for data science, Samir Madhavan

Exam Preparation PDF

Part : 1

   

Part : 2

   

Part : 3