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    • Profile:
      Murthy-Web Master
      MS-Data Science, PMI-ACP
      Email:
          Murthy@qss-inc.com
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    • Python
      • Introduction to Python
      • Anaconda Navigation Setup
      • Python Basics
      • Control Flow
      • Data Structures
      • Data Structures(Built-in)
      • Data Structures(User defined)
      • Functions and Modules
      • Object-Oriented Programming
      • File Handling
      • Exception Handling
      • Python Libraries
        • Introdcution
        • Numpy
        • Pandas
        • Matplotlib
        • Seaborn
        • Scikit-Learn
      • Advanced Python Concepts
        • Decorators and Generators
        • Iterators and Context Managers
        • Multithreading and Multiprocessing
      • Testing and Debugging
      • Conclusion and Further Resources
    • Statistics
      • Introduction to Statistics
      • Descriptive Statistics
      • Graphical Representation
      • Probability Concepts
      • Probability Distributions
      • Inferential Statistics
      • Exploratory Data Analysis
      • Advamced Prabability
      • Time Series Analysis
    • Data Visualization
      • Excel
      • Power BI
    • Machine Learning
      • Introduction
      • Machine Learning Types
      • Machine Learning Challenges
      • Types of ML Algorithms
      • Supervised Learning Algorithms
      • Unsupervised Learning Algorithms
      • Reinforcement Learning Algorithms
    • SQL
      • Introduction
      • SSQL Basics – Retrieving Data
      • Working with Multiple Tables – Joins
      • Aggregation and Grouping
      • Advanced SQL Queries
      • Data Cleaning and Preprocessing
      • Exploratory Data Analysis (EDA)
      • Statistical Analysis
      • SQL Optimization
      • Case Studies
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Navigate Data Science: Useful Links

  • What is Data Science?
  • How to Become a Data Scientist

Programming & Tools

  • NumPy (Python Libraries)
  • Pandas
  • Scikit-Learn
  • R for Data Science
  • Jupyter Notebooks
  • Google Colab
  • Tableau (Data Visualization)

Machine Learning & AI

  • Introduction to Machine Learning (Andrew Ng - Coursera)
  • Deep Learning Essentials
  • Natural Language Processing (NLP)
  • Computer Vision Basics (OpenCV)
  • AI Ethics & Bias in ML

Big Data & Cloud Computing

  • Introduction to Big Data
  • Hadoop & Spark Basics
  • AWS for Data Science
  • Azure Machine Learning

Data Science Projects & Practice

  • Open Datasets for Practice
  • Top Kaggle Competitions
  • GitHub Repositories for Data Science

Job & Career Resources

  • Data Science Degree Program Guide
  • Data Science Interview Questions
  • Best Companies Hiring Data Scientists

Communities & Forums

  • Kaggle
  • Data Science Stack Exchange
  • Reddit - r/datascience
  • Towards Data Science (Medium)