CORE STRUCTURE
MODULE 1: INTRODUCTION TO DATA SCIENCE
Week 1: Overview of Data Science
What is Data Science? Data Science
Week 2: Python Basics
Python Syntax and Semantics
Data Types(simple & complex) and Variables in python
Control Structures (if, elif,for, while)
Week 3: Functions
Defining function(return,non-return,lambda)
Importing library in python
Error handling(try..except)
OOPS
MODULE 3: NUMPY
Week 4: Intro to NumPy library
Arrays and array manipulation in python
Indexing and slicing of array
Mathematical function in python
Week 5: Advanced NumPy library
Linear Algebra
Random Number Generation(Binomial,uniform)
Module 4: Pandas library
Week 7: Introduction to Pandas module
Series and DataFrames in pandas
Import and export data
Data maintenance and data preparation
Week 7: Managing data with Pandas module
Filtering and sorting of data
Grouping and aggregating
Combining and merging data frames
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MODULE 5: VISUALIZING DATA WITH MATPLOTLIB MODULE
Week 8: Introduction to Matplotlib module
Basic plotting in IDE
Custom plots (title, labels, legend,group)
Subplots and multiplots in matplotlib
Chapter 9: Advanced Visualization Techniques Histograms, Scatter Plots and Box Plots
Saving and Exporting Visualizations
Introduction to Seaborn libarary
Unit 6: Introduction to Machine Learning
Week 10: Machine Learning Fundamentals
What is Machine Learning? (Supervised,unsupervised,Regression, decision tree)
Testing models (accuracy, precision, regression,supervised)
Week 12: Power BI
Introducing Power BI
Importing and Transforming Data
Creating Reports
Week 13: Tableau
Introduction to Tableau
Connecting to data sources
Creating interactive dashboards
Unit 9: Analyze data with Excel
Week 14: Analyze data with Excel
Excel Basics and Functions
Sheet Maintenance and Planning
Pivot Tables and Charts
Week 15: Advanced Excel Techniques
Data analysis tools
Automation with Macros
Integrating Excel and Python
MODULE 10: CAPSTONE PROJECT
Week 16: Capstone Project
Connecting to data sources
Creating interactive dashboards
