Data Science & Analytics Roadmap

Turn raw data into actionable insights. Statistics, visualization, and storytelling with data.

3 stages · 12 topics 0% done
Data Science & Analytics
✓ Statistics
✓ Python
✓ Foundation
✓ R Language
✓ Visualization
✓ Analysis
✓ SQL for Analytics
✓ EDA
✓ Machine Learning
✓ Time Series
✓ Advanced
✓ Big Data
Text version of this roadmap

1. Foundation

  • Statistics: Descriptive, inferential, Bayesian
  • Python: pandas, numpy, Jupyter notebooks
  • R Language: Tidyverse, ggplot2, RStudio

2. Analysis

  • Visualization: matplotlib, seaborn, plotly, Tableau
  • SQL for Analytics: Window functions, CTEs, aggregations
  • EDA: Data cleaning, feature exploration, outliers

3. Advanced

  • Machine Learning: scikit-learn, XGBoost, evaluation
  • Time Series: ARIMA, Prophet, forecasting
  • Big Data: Spark, Dask, data pipelines