🧠 Roadmap to Become a Data Scientist in 2025 🚀

By Anjali Yadav | CodeWithAnjalii

“Data is the new oil, but it’s useless until it’s refined.”

If you're dreaming of becoming a Data Scientist, you're choosing one of the most exciting, in-demand, and future-ready careers of this decade. But with so many tools, languages, and skills — it’s easy to feel lost. Don’t worry — here’s your complete, beginner-friendly roadmap to becoming a successful Data Scientist.

📍 Phase 1: Build Strong Foundations (1–2 Months)

• ✅ Learn Python: Data types, loops, functions, OOPs. Tools: Jupyter Notebook, VSCode
• ✅ Mathematics Refresher: Mean, Median, Mode, SD, Probability, Linear Algebra
• ✅ SQL Basics: CRUD, JOINs, GROUP BY, Subqueries

📚 Suggested Courses: Python for Everybody (Coursera), W3Schools SQL

📍 Phase 2: Data Handling & Visualization (1–2 Months)

• ✅ Libraries: NumPy, Pandas, Matplotlib, Seaborn, Plotly
• ✅ Mini Projects: Titanic Dataset, IPL Data Visualization

📍 Phase 3: Statistics + Machine Learning (3 Months)

• ✅ Descriptive Statistics, Hypothesis Testing
• ✅ Supervised ML: Linear/Logistic Regression, Decision Trees, Random Forest
• ✅ Unsupervised ML: K-Means, PCA
• ✅ Model Evaluation: Confusion Matrix, Accuracy, ROC-AUC

🧠 Tip: Practice on Kaggle and use scikit-learn.

📍 Phase 4: Advanced Tools & Real Projects (3 Months)

• ✅ Time Series Forecasting: ARIMA, Prophet, LSTM
• ✅ NLP: Text Cleaning, Sentiment Analysis, TF-IDF, BERT
• ✅ Deep Learning (Optional): TensorFlow, PyTorch, CNN
• ✅ Dashboards: Power BI, Tableau, Streamlit

📍 Phase 5: Portfolio + Resume + Internships (Ongoing)

• ✅ GitHub Profile with Projects
• ✅ Resume with Certifications
• ✅ Portfolio Website (like codewithanjalii.github.io)
• ✅ Mock Interviews + DSA in Python/SQL

🚀 Bonus Tips

• 💼 Do Freelance/Open Source Projects
• ✍️ Write Blogs Explaining Projects
• 🎥 Share Coding Reels on Instagram/YouTube
• 🤝 Join Communities (Kaggle, Reddit, Discord)

🔚 Conclusion

Becoming a Data Scientist is not about learning everything, but about learning the right things in the right order. Be consistent, build projects, and share your journey.

🌟 Follow @CodeWithAnjalii for regular tips, projects, and career guidance in Data Science!

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