AI & Data Analytics

Duration: Hours



    Training Mode: Online



    Unit 1: Introduction to AI & Data Analytics
    Overview of Artificial Intelligence (AI)
    Role of Data Analytics in Decision Making
    Importance of AI & Data Analytics in Various Industries

    Unit 2: Foundations of Data
    Understanding Data Types and Structures
    Data Collection and Cleaning
    Exploratory Data Analysis (EDA)

    Unit 3: Basics of Statistics
    Descriptive Statistics
    Inferential Statistics
    Probability Distributions

    Unit 4: Machine Learning Overview
    Introduction to Machine Learning
    Types of Machine Learning: Supervised, Unsupervised, and Reinforcement Learning
    Applications of Machine Learning in Real-world Scenarios

    Unit 5: Data Preprocessing
    Feature Scaling and Normalization
    Handling Missing Data
    Encoding Categorical Data

    Unit 6: Model Building
    Selecting and Evaluating Models
    Model Training and Testing
    Model Deployment

    Unit 7: Introduction to Deep Learning
    Neural Networks and Deep Learning
    Deep Learning Applications
    Overview of TensorFlow and PyTorch

    Unit 8: Data Visualization
    Importance of Data Visualization
    Tools for Data Visualization (e.g., Matplotlib, Seaborn, Tableau)

    Unit 9: Big Data Analytics
    Introduction to Big Data
    Hadoop and MapReduce
    Apache Spark for Big Data Processing

    Unit 10: AI Ethics and Bias
    Ethical Considerations in AI & Data Analytics
    Addressing Bias in Data and Algorithms


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