Data Science Beginner Roadmap 📊🧠

📂 Start Here 
∟📂 Learn Basics of Python or R 
∟📂 Understand What Data Science Is

📂 Data Science Fundamentals 
∟📂 Data Types & Data Cleaning 
∟📂 Exploratory Data Analysis (EDA) 
∟📂 Basic Statistics (mean, median, std dev)

📂 Data Handling & Manipulation 
∟📂 Learn Pandas / DataFrames 
∟📂 Data Visualization (Matplotlib, Seaborn) 
∟📂 Handling Missing Data

📂 Machine Learning Basics 
∟📂 Understand Supervised vs Unsupervised Learning 
∟📂 Common Algorithms: Linear Regression, KNN, Decision Trees 
∟📂 Model Evaluation Metrics (Accuracy, Precision, Recall)

📂 Advanced Topics 
∟📂 Feature Engineering & Selection 
∟📂 Cross-validation & Hyperparameter Tuning 
∟📂 Introduction to Deep Learning

📂 Tools & Platforms 
∟📂 Jupyter Notebooks 
∟📂 Git & Version Control 
∟📂 Cloud Platforms (AWS, Google Colab)

📂 Practice Projects 
∟📌 Titanic Survival Prediction 
∟📌 Customer Segmentation 
∟📌 Sentiment Analysis on Tweets

📂 ✅ Move to Next Level (Only After Basics) 
∟📂 Time Series Analysis 
∟📂 NLP (Natural Language Processing) 
∟📂 Big Data & Spark

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