🗺️ Data Analytics Roadmap
A structured guide to learn Data Analytics from fundamentals to advanced topics.
- Mathematics
- Descriptive Statistics
- Inferential Statistics
- Probability Theory
- Programming
- Python (Pandas, NumPy)
- R (Statistical Analysis)
- SQL (Data Extraction)
- Data Sources
- APIs
- Web Scraping
- Databases
- Data Storage
- Relational Databases (MySQL, PostgreSQL)
- NoSQL Databases (MongoDB, Cassandra)
- Data Lakes & Warehousing (Snowflake, Redshift)
- Handling Missing Data
- Data Transformation
- Normalization & Standardization
- Outlier Detection
- Data Visualization Tools
- Matplotlib
- Seaborn
- ggplot2
- Identifying Trends & Patterns
- Correlation Analysis
- Predictive Analytics (Regression, Forecasting)
- Prescriptive Analytics (Optimization Models)
- Segmentation (Clustering)
- Sentiment Analysis
- Visualization Tools: Power BI, Tableau, Google Data Studio
- Dashboard Design & Interactive Visualizations
- Storytelling with Data
- SQL: Mode SQL Tutorial | Telegram SQL Specialist
- Python: LearnPython.org | Python Developers India | Free Python Course | GeeksforGeeks
- R: DataCamp R Course
- Data Structures: LeetCode | Udacity
- Data Visualization: freeCodeCamp | Telegram Channel | Tableau Training | Power BI Challenges
- Excel: Excel Practice Online | Telegram Excel Channel | W3Schools Excel
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