Data Science

Data Science Training:

  1. Introduction to Data Science

    • What is Data Science?
    • Importance of Data Science in Industry
    • Role of a Data Scientist
  2. Data Analysis and Visualization

    • Data Preprocessing and Cleaning
    • Exploratory Data Analysis (EDA)
    • Data Visualization Techniques
  3. Machine Learning Fundamentals

    • Supervised Learning
    • Unsupervised Learning
    • Model Evaluation and Selection
  4. Deep Learning and Neural Networks

    • Introduction to Deep Learning
    • Neural Network Architectures
    • Deep Learning Frameworks (e.g., TensorFlow, PyTorch)
  5. Big Data Analytics

    • Introduction to Big Data Technologies
    • Hadoop and MapReduce
    • Spark and Hadoop Ecosystem
  6. Data Science Tools and Technologies

    • Python for Data Science (NumPy, Pandas, Matplotlib)
    • R Programming Language
    • SQL for Data Analysis
  7. Capstone Project

    • Real-world Data Science Project
    • Application of Skills Learned
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