PYTHON DATA SCIENCE Learn Python in a Week and Master it

Introduction
Day 1: Introduction to Data Science
	Importance of Data Science
	Types of Data
	Data science strategies
	Programming language
	Review Quiz
Day 2: Data Science Lifecycle
	Infrastructure and resources for data science projects
	Stage I – Business understanding
	Stage II – Data acquisition and understanding
	Stage III – Modeling
	Stage IV – Deployment
	Stage V – Customer Acceptance
	Review Quiz
Day 3: Big Data 101
	Importance of big data
	The functioning of big data
	Big Data Analytics
	Applications of Big Data Analytics
	Big Data Analysis Vs. Data Visualization
	Review Quiz
Day 4: Basics of Data Mining
	Applications of data mining
	The data mining process
	Pros of data mining
	Challenges of data mining
	Data Mining Trends
	Data mining tools
Day 5: Data Analysis Frameworks
	Ensemble Learning
	Decision Trees
	Random Forest
Day 6: Data Analysis Libraries
	Scikit-Learn
	SciPy (Fundamental library for scientific computing)
	SymPy (Symbolic mathematics)
	NumPy (Base n-dimensional array package)
	Matplotlib (Comprehensive 2D/3D plotting)
	Pandas (Data structures and analysis)
	IPython (Enhanced interactive console)
	Jupyter Notebook
Day 7: Predictive Analytics
	Importance of Customer Analytics
	Marketing and Sales Funnel Analytics
	Predictive Analytics Marketing
	Personalized marketing
Extra content
	Python programming
	Python Machine Learning
Conclusion