Why Uncodemy is a Top Choice for Data Analytics Training

Data Analytics Curriculum:
Module 1 — Foundations
  • Excel for data analysis
  • Descriptive statistics
  • SQL basics (SELECT, WHERE, JOIN)
  • Data types & data quality

Module 2 — SQL & Python
  • Advanced SQL (window functions, CTEs)
  • Python basics (variables, loops, functions)
  • Pandas & NumPy for data manipulation
  • Data cleaning & transformation

Module 3 — Visualization
  • Power BI (reports, dashboards)
  • Tableau (charts, stories)
  • Storytelling with data
  • KPI design

Module 4 — Advanced Analytics
  • Introduction to machine learning
  • Regression & classification
  • Gen AI for analytics
  • Capstone project

Module 1 Checklist:
□ Excel basics completed
□ Statistics fundamentals understood
□ SQL SELECT & JOIN practiced
□ Data quality checks done

Module 2 Checklist:
□ Advanced SQL practiced
□ Python basics completed
□ Pandas & NumPy practised
□ Data cleaning project done

Module 3 Checklist:
□ Power BI reports built
□ Tableau dashboards created
□ Storytelling practiced
□ KPI design understood

Module 4 Checklist:
□ ML basics understood
□ Regression & classification practiced
□ Gen AI explored
□ Capstone project completed

Mentorship & Support Structure:
• Live instructor-led classes (weekday & weekend)
• 1:1 doubt-clearing sessions
• Code reviews and feedback
• Recorded sessions for revision
• Peer community & forums
• Weekly progress check-ins

Support Checklist:
□ Have I attended this week's live sessions?
□ Have I asked my doubts in 1:1?
□ Have I reviewed code feedback?
□ Have I watched recordings for missed topics?
□ Have I participated in the community?
□ Have I completed the weekly check-in?

Project Guide:
Project 1 — Sales Dashboard
  • Clean the sales dataset
  • Build Power BI visuals
  • Add KPIs and filters
  • Document insights

Project 2 — Customer Churn
  • Explore churn patterns
  • Build classification model
  • Evaluate accuracy
  • Document findings

Project 3 — Marketing Analytics
  • Analyse campaign data
  • Build attribution report
  • Visualise in Tableau
  • Present insights

Capstone Project
  • End-to-end pipeline
  • Real dataset
  • Full documentation

Portfolio Checklist:
□ 2-3 projects completed
□ Projects documented with problem/solution/results
□ Code on GitHub with README
□ Dashboards saved as screenshots or links
□ Portfolio page or PDF created
□ LinkedIn featured projects updated

Placement Support — What You Get:
□ Resume rebuild (ATS-friendly)
□ LinkedIn profile optimisation
□ Portfolio review & feedback
□ Mock interviews (technical + behavioural)
□ Access to 14+ hiring partners
□ Interview scheduling support
□ Salary negotiation guidance
□ Post-placement check-ins

Mock Interview Plan:
• Technical round — SQL, Python, statistics
• Case study round — business analytics
• Behavioural round — STAR method
• Take-home project review
• Feedback & improvement plan
• Repeat until confident

Resume & Portfolio Checklist:
□ Impact statements with numbers
□ ATS-friendly formatting
□ 2-3 real-world projects showcased
□ GitHub with clean, documented code
□ Portfolio page or PDF
□ LinkedIn headline & summary updated