Ultimate Data Science Course – 2025 Edition

Description

✅ What You Will Learn

📌 Module 1 – Data Science Fundamentals

• What is Data Science?

• Roles, Tools, and Workflow

📌 Module 2 – Python Programming for Data Science (19 Topics – 22 Sessions)

• Core Python Syntax & Data Types

• Functions, Loops, and Conditional Statements

• Data Structures: Lists, Tuples, Dictionaries, Sets

• File Handling, Error Handling, and Libraries

📌 Module 3 – Data Analysis with Pandas (21 Topics)

• Importing & Cleaning Data

• Data Filtering, Grouping, and Aggregations

• Pivot Tables & Data Transformations

📌 Module 4 – NumPy for Data Science

• Arrays, Vectorization, and Performance Optimization

📌 Module 5 – Data Visualization

• Matplotlib, Seaborn, and Plotly

• Interactive Dashboards

📌 Module 6 – Mathematics for Data Science

• Linear Algebra, Probability, and Statistics Essentials

📌 Module 7 – Feature Engineering

• Handling Missing Data, Encoding, Scaling

• Feature Selection & Extraction

📌 Module 8 – Machine Learning

• Supervised & Unsupervised Learning

• Model Training, Evaluation, and Optimization

📌 Module 9 – Deep Learning

• Neural Networks, CNNs, and RNNs

• Model Building with TensorFlow & PyTorch

📌 Module 10 – Natural Language Processing (NLP)

• Text Preprocessing, Embeddings, and Transformers

📌 Module 11 – Computer Vision

• Image Classification, Object Detection, and Image Processing

📌 Module 12 – MySQL for Data Science

• Querying, Joins, Aggregations, and Integration with Python

📌 Module 13 – Power BI for Visualization

• Building Reports and Interactive Dashboards

📌 Module 14 – Projects & Generative AI

• Real-World Data Science Projects

• Building Large Language Models (LLMs) from Scratch

• Integrating AI Models into Applications

👤 Who Is This Course For?

• Beginners looking to start a career in Data Science

• Analysts and Developers expanding into AI and ML

• Students and professionals aiming for 2025-ready skills

• Anyone who wants to work on cutting-edge AI projects