Learn Python In 1 Week And Master It 🔥

Table of Contents

  • 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

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