Python for Data Science

The course aims at equipping participants to be able to use python programming for solving data science problems.INTENDED AUDIENCE : Final Year UndergraduatesPRE-REQUISITES : Knowledge of basic data science algorithms

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
• ndArrayWeek 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