🛣 Roadmap to Mastery: Data Scientist

Your step-by-step journey to becoming a Data Scientist in 2025.

1️⃣ Foundations

• Mathematics: Probability, Statistics, Linear Algebra, Calculus

• Logic & Problem-Solving Skills

2️⃣ Programming

• Python: NumPy, Pandas, Scikit-learn

• SQL for databases & queries

3️⃣ Data Handling

• Data Cleaning & Preprocessing

• Exploratory Data Analysis (EDA)

• Visualisation: Matplotlib, Seaborn, Plotly

4️⃣ Machine Learning

• Regression, Classification, Clustering

• Decision Trees, Random Forests, Gradient Boosting

5️⃣ Deep Learning

• Neural Networks (ANNs)

• CNNs, RNNs, Transformers

• Frameworks: TensorFlow, PyTorch

6️⃣ Big Data & Cloud

• Distributed systems: Spark, Hadoop

• Cloud ML Platforms: AWS Sagemaker, Google Vertex AI, Azure ML

7️⃣ MLOps

• Docker & Kubernetes

• CI/CD pipelines (GitHub Actions, Jenkins)

• MLflow, FastAPI for deployment

8️⃣ Portfolio & Career

• Build projects (Kaggle, GitHub repos)

• Specialise in a domain (finance, health, NLP, computer vision)

• Apply to internships, showcase in interviews

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💡 Final Note
A Data Scientist blends statistics, coding, and business acumen. With persistence and projects, you’ll build the skills to solve real-world data problems.

📌 Next Episode Teaser
👉 Roadmap to Mastery: Machine Learning Engineer