Data Analytics Classes Near Ghaziabad 2026

Month 1 — Daily Schedule:
7:00 AM — Wake up, exercise (30 min)
8:00 AM — Review goals for the day
9:00 AM — Deep work (2-3 hours)
   - Week 1: Excel formulas & pivot tables
   - Week 2: SQL basics
   - Week 3: SQL advanced
   - Week 4: Practice project
12:00 PM — Lunch break
1:00 PM — Practice exercises (1 hour)
2:00 PM — Deep work (2 hours)
5:00 PM — Review progress, plan tomorrow
6:00 PM — Exercise, rest
8:00 PM — Reading (30 min)
10:00 PM — Wind down

Month 1 Milestones:
□ Comfortable with Excel formulas & pivot tables
□ Can write SELECT, WHERE, GROUP BY, JOIN
□ Understand subqueries and CTEs
□ Solved 20+ SQL problems
□ Completed one end-to-end analysis project
□ Published it on GitHub / LinkedIn

Month 2 — Daily Schedule:
7:00 AM — Wake up, exercise (30 min)
8:00 AM — Review goals for the day
9:00 AM — Deep work (3 hours)
   - Week 5: Python basics
   - Week 6: Python for analysis
   - Week 7: Power BI / Tableau
   - Week 8: Mini project
12:00 PM — Lunch break
1:00 PM — Practice (1 hour)
2:00 PM — Deep work (2 hours)
5:00 PM — Review progress, plan tomorrow
6:00 PM — Exercise, rest
8:00 PM — Portfolio work (30 min)
10:00 PM — Wind down

Month 2 Milestones:
□ Comfortable with pandas basics
□ Can clean and transform a dataset
□ Built a 1-page Power BI / Tableau dashboard
□ Completed a mini project with insights
□ Project documented on GitHub
□ Started LinkedIn networking

Month 3 — Daily Schedule:
7:00 AM — Wake up, exercise (30 min)
8:00 AM — Review goals for the day
9:00 AM — Deep work (3 hours)
   - Week 9: Portfolio polish
   - Week 10: Resume + LinkedIn
   - Week 11: Applications
   - Week 12: Interview prep
12:00 PM — Lunch break
1:00 PM — Networking & follow-ups
2:00 PM — Deep work (2 hours)
5:00 PM — Review progress, plan tomorrow
6:00 PM — Exercise, rest
8:00 PM — Interview prep (30 min)
10:00 PM — Wind down

Month 3 Milestones:
□ 2 strong portfolio projects documented
□ Resume optimized for data analyst roles
□ LinkedIn headline + summary updated
□ 25+ quality applications sent
□ 5+ interview calls received
□ SQL + case study interview prep done

Data analytics class checklist:

□ Fees transparent (no hidden charges)
□ Trainer experience (3+ years in analytics)
□ Tools covered: Excel, SQL, Python, Power BI/Tableau
□ Hands-on projects (real datasets)
□ Batch size (max 15-20 students)
□ Placement record (ask for proof)
□ Weekday + weekend batches
□ Recorded sessions available
□ Mock interviews included
□ Resume + LinkedIn support
□ Distance from your area + metro access
□ Free demo class available

Daily practice tracker:
Date: _________
☐ Excel / SQL practice (1 hr)
☐ Python practice (1 hr)
☐ BI tool practice (30 min)
☐ Notes + screenshots
☐ Reviewed progress

Today's learnings:
1. 
2. 
3. 

Tomorrow's targets:
1. 
2. 
3. 

Skills tracker:

Excel:
□ Formulas & pivot tables
□ Charts & dashboards

SQL:
□ SELECT, WHERE, GROUP BY
□ JOINs, subqueries, CTEs
□ Window functions

Python:
□ pandas basics
□ Data cleaning
□ Visualisation (matplotlib/seaborn)

BI:
□ Power BI or Tableau
□ Dashboard design

Portfolio:
□ 2 projects documented
□ GitHub profile clean