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