Pick 2-3 sectors to target
Sector 1: ______________
  Typical questions they ask: ______________
  Project I will build: ______________
Sector 2: ______________
  Typical questions they ask: ______________
  Project I will build: ______________

Tailor your resume headline per sector, e.g.
'Data Analyst — SQL, Power BI | Retail & E-commerce analytics'

-- Retail-style question: which categories have the highest return rate?
SELECT p.category,
       COUNT(*) AS orders,
       SUM(CASE WHEN o.returned THEN 1 ELSE 0 END) AS returns,
       ROUND(100.0 * SUM(CASE WHEN o.returned THEN 1 ELSE 0 END) / COUNT(*), 1) AS return_rate_pct
FROM orders o
JOIN products p ON p.id = o.product_id
GROUP BY p.category
ORDER BY return_rate_pct DESC;

Compare analytics training on:
☐ SQL depth (joins, window functions)
☐ Excel with Power Query
☐ Power BI or Tableau with data modelling
☐ Python and pandas basics
☐ Business case studies on messy data
☐ Feedback on your insights
☐ Batch timing you can keep
☐ Written fees and inclusions

Weekly routine for NCR learners
Weekdays: 1 hour practice after class/work (SQL problems, Excel)
Commute time: watch recorded sessions or read case studies
Saturday: case-study project work
Sunday: portfolio update + one meetup or online community session per month

# Weekly commute vs practice time
classes_per_week = 3
one_way_minutes = 50
commute_hours = classes_per_week * one_way_minutes * 2 / 60
practice_hours_needed = 6

print(f"Commute per week: {commute_hours:.1f} h")
if commute_hours > practice_hours_needed:
    print("Consider a nearer centre or a live online batch.")
else:
    print("Commute is manageable.")

Location checklist
☐ Door-to-door time at class hours (test it once)
☐ Metro or bus access
☐ Safe travel time for evening batches
☐ Online option if I miss a class
☐ Lab or practice space available at the centre

NCR Analytics Career Plan
Target role: Data Analyst / Business Analyst / MIS Analyst
Target sectors: 1. ______ 2. ______
Skills to finish: SQL ☐  Excel ☐  Power BI ☐  Python ☐  Statistics ☐
Projects:
  1. Sector project: ______________
  2. Dashboard: ______________
  3. Python cleaning notebook: ______________
Applications per week: ____
Meetups/events per month: ____

Networking Log
Date      Event/Group           People met   Follow-up sent?
______    __________________    ________     ☐
______    __________________    ________     ☐
Rule: follow up within 48 hours with a short message
mentioning something specific you discussed.

Application Tracker
Company    Role           Sector     Date     Status          Next step
_______    ___________    ______     _____    applied/test/   ________
_______    ___________    ______     _____    interview/offer ________
Review every Sunday.