Detailed roadmap

Complete Roadmap to Become a Pro Data Scientist

This comprehensive learning path will guide you through everything you need to know to become a proficient data scientist, from programming fundamentals to advanced machine learning techniques.

Section 1: Python for Data Science

Python is the foundation for data science. This section covers everything from basic syntax to advanced features that will help you manipulate and analyze data effectively.

Section 2: Statistics for Data Science

Statistics is the backbone of data analysis. Learn fundamental statistical concepts and advanced techniques essential for making sense of data.

Section 3: Machine Learning Foundations

Machine Learning is what powers predictive models. This section covers the essential algorithms and techniques used in modern data science.

Section 4: Deep Learning Specialization

Deep Learning is revolutionizing AI. Learn about neural networks, computer vision, and other advanced techniques in this section.

Section 5: Natural Language Processing

Master Natural Language Processing to analyze and generate human language. Learn text processing techniques, language models, and advanced architectures for language understanding.

Section 6: Generative AI

Explore the cutting-edge field of Generative AI, from foundational concepts to advanced applications including Large Language Models, prompt engineering, and creative content generation.

Section 7: POWER BI (OPTIONAL)

Master Microsoft Power BI, a powerful business analytics tool for data visualization, reporting, and dashboard creation that transforms data into actionable insights.

Learning Tips

Set specific, achievable goals for each section of the roadmap
Practice regularly with hands-on coding exercises
Join study groups or find a learning partner
Take notes and create your own cheat sheets
Build projects that incorporate what you've learned
Don't rush - focus on understanding concepts thoroughly

Complete Roadmap to Become a Pro Data Scientist

Section 1: Python for Data Science

Module 1: Python Basics

Module 2: Data Types & Functions

Module 3: OOPS

Module 4: Files & Exceptional Handling

Module 5: Database & Web API

Module 6: Python Libraries

Section 2: Statistics for Data Science

Module 1: Statistics Basics

Module 2: Statistics Advance

Section 3: Machine Learning Foundations

Module 1: Introduction to ML

Module 2: Feature Engineering

Module 3: Exploratory Data Analysis

Module 4: Regression

Module 5: Decision Trees & SVM

Module 6: Naive Bayes & Ensemble Techniques

Module 7: Boosting, KNN & Dimension Reduction

Module 8: Anomaly Detection & Time Series

Module 9: Cloud Introduction

Section 4: Deep Learning Specialization

Module 1: Neural Network A Simple Perception

Module 2: TensorFlow

Module 3: PyTorch & CNN

Module 4: Image Classifications

Module 5: RCNN, YOLO, Detectron2 & TFOD2

Module 6: Image Segmentation & Mask RCNN

Module 7: Object Tracking

Module 8: GAN

Section 5: Natural Language Processing

Module 1: NLP Introduction

Module 2: Text Processing for NLP

Module 3: NLP Libraries & Networks

Module 4: Attention-based Models & Transfer Learning

Section 6: Generative AI

Module 1: Introduction of Generative AI

Module 2: Generative AI for Text Generation

Module 3: Generative AI for Machine Translation

Module 4: Generative AI for Creative Content Generation

Module 5: Advanced Topics in Generative AI with NLP

Module 6: LLMs: Use Cases and Potentials

Module 7: Hugging Face Hub: A Gateway to Generative AI

Module 8: Prompt Engineering: The Art of Guiding LLMs

Module 9: RAG: A Versatile Tool for Generative AI

Module 10: Fine-tuning: Unveiling the Potential of LLMs

Module 11: Project: On prompt image and caption generator

Module 12: Project: Customised Chat bot

Module 13: Project: Genei: An Alexa like assistant

Module 14: Custom Chat GPT

Section 7: POWER BI (OPTIONAL)

Module 1: Introduction to Power BI

Module 2: Visualizations

Module 3: Data modeling

Module 4: DAX

Module 5: Connectivity

Module 6: Creating reports

Module 7: Power BI Architecture

Learning Tips