Step-by-Step Roadmap to Become a Data Analyst
Step 1: Understand What a Data Analyst Does
A data analyst:
- Collects data from various sources (like Excel, SQL databases, or APIs)
- Cleans and organizes the data
- Analyzes it to find trends or insights
- Creates dashboards and reports to explain results
Common tools: Excel, SQL, Python, Power BI, Tableau, Google Sheets.
Step 2: Learn the Key Skills
🧮 1. Statistics & Math Basics
- Mean, median, mode, probability, standard deviation
- Hypothesis testing and correlation
📘 Learn from: Khan Academy, Coursera, or YouTube (StatQuest channel).
💻 2. Excel / Google Sheets
- Learn formulas, pivot tables, charts, and dashboards.
📘 Course: “Excel for Business” by Macquarie University (Coursera).
🧠 3. SQL (Structured Query Language)
- Used to query data from databases.
- Learn commands like
SELECT,JOIN,GROUP BY,WHERE.
📘 Free site: W3Schools or SQLBolt.
🐍 4. Python (for Data Analysis)
- Libraries to learn:
pandas→ data cleaningnumpy→ calculationsmatplotlib/seaborn→ visualization
📘 Courses: “Google Data Analytics” or “Python for Data Analysis” by DataCamp.
📊 5. Data Visualization Tools
- Power BI (Microsoft)
- Tableau (Drag and drop dashboards)
- Learn how to present your insights clearly.
Step 3: Practice Real Projects
- Analyze public datasets from Kaggle or Google Dataset Search
- Examples:
- Sales trends analysis
- COVID-19 data visualization
- Customer behavior report
🎯 Make 3–5 projects for your portfolio on GitHub or LinkedIn.
Step 4: Learn Business Understanding
A good analyst connects data → business decisions.
Learn basic concepts like:
- KPIs (Key Performance Indicators)
- Revenue, conversion rate, customer retention
Step 5: Build a Portfolio & Resume
Include:
- Projects
- Tools used
- Visual dashboards (screenshots or links)
- GitHub / Tableau Public / Power BI links
Step 6: Apply for Internships or Jobs
Start with roles like:
- Data Analyst Intern
- Business Analyst
- Junior Data Analyst
Sites to try: LinkedIn, Internshala, Naukri, Glassdoor.
Step 7: Keep Learning & Grow
After mastering analysis, explore advanced paths:
- Data Scientist
- Data Engineer
- Machine Learning Analyst