Foundations of AI & Data Scienceo Introduction to Artificial Intelligence & Data Scienceo Types of Artificial Intelligenceo Basics of Data Scienceo Introduction to Machine Learning and PythonPython Basics for AI & Data Scienceo Python Overview for AI & Data Scienceo Key Features and Interfaces of Pythono Strings and Lists in Data Scienceo Python Operators and List Operationso Working with Sets in Pythono If-Else Control Statements & Loopso Installing Anaconda and PythonPython Programming Practiceo Practice Programs in Pythono List and String Programso Dictionaries and Tuples Practiceo Regular Expressions in Pythono Object-Oriented Programming (OOP) in PythonData Handling with Pythono NumPy Arrays and Operationso Pandas DataFrames and Aggregate Functionso Working with Arrayso Pandas Detailed Explanationo Exploratory Data Analysis (EDA) and VisualizationDatabases and SQLo Introduction to SQL and Database Management (DBMS)o SQL Basics and Querieso Advanced SQL OperationsMachine Learning and Regression Modelso Model Evaluation and Testing in Machine Learningo Simple Linear Regressiono Multinomial Regressiono Logistic Regressiono Advanced Regression TechniquesHands-On Real-Time Exposure TasksAnalysis of Ecommerce Sales DataExamining sales patterns, customer behavior, and revenue trends to identify business insights and growth opportunities.Analysis on Life Expectancy of World PopulationStudying global life expectancy data to understand health, economic, and demographic influences across countries.Analysis on Netflix Movies and ShowsExploring Netflix datasets to uncover trends in genres, ratings, and content distribution patterns.Analysis Report on Daily TemperatureAnalyzing daily temperature data to track climate patterns, seasonal variations, and anomalies.Heart Attack Analysis and PredictionUsing healthcare data and machine learning to identify risk factors and predict the likelihood of heart attacks.
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