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Data Analysis and Visualization Path
- Step 1: Data Basics
- Learn Excel and advanced functions
- Understand data types, cleaning, and preprocessing
- Study SQL for data querying
- Step 2: Python for Data
- Use Pandas and NumPy for analysis
- Visualize with Matplotlib and Seaborn
- Perform EDA (Exploratory Data Analysis) on datasets
- Step 3: Visualization Tools
- Learn Power BI or Tableau
- Build interactive dashboards
- Use real data (sales, COVID-19, etc.)
- Step 4: Apply in Projects
- Create portfolio-worthy projects
- Document analysis in Jupyter Notebooks
- Share insights and dashboards online
Data Analysis and Visualization Path
This path is ideal for professionals looking to develop a wide range of data analytics skills, from Excel fundamentals to mastering advanced data visualization tools like Tableau and Power BI.
