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Data Science Roadmap - Intermediate

Follow this step-by-step roadmap to master data_science at Intermediate level

1

Data Wrangling & Preprocessing

3 weeks
  • ▹Handling Missing Values
  • ▹Data Transformation & Scaling
  • ▹Feature Engineering
  • ▹Feature Selection
  • ▹Outlier Detection
  • ▹Mini-Project: Customer Data Cleaning
2

Exploratory Data Analysis (EDA)

2 weeks
  • ▹Univariate, Bivariate, Multivariate Analysis
  • ▹Correlation & Heatmaps
  • ▹Feature Distributions
  • ▹Time Series EDA
  • ▹Mini-Project: Sales Dataset EDA
3

Machine Learning Basics

4 weeks
  • ▹Supervised vs Unsupervised Learning
  • ▹Regression (Linear, Logistic)
  • ▹Classification (KNN, Decision Trees)
  • ▹Clustering (K-Means, Hierarchical)
  • ▹Evaluation Metrics (Accuracy, Precision, Recall, F1, ROC)
  • ▹Mini-Project: Iris Dataset Classifier
4

Data Visualization

2 weeks
  • ▹Advanced Matplotlib & Seaborn
  • ▹Plotly & Interactive Visualizations
  • ▹Dashboards with PowerBI / Tableau
  • ▹Mini-Project: Interactive COVID Dashboard
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