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JOB-ORIENTED PROGRAM

Data Analytics Course Syllabus

Master business data analysis with Excel, SQL, Power BI, Python, Statistics and modern AI tools.

Google 4.9 ★★★★★ Industry projects • Free English classes • LinkedIn & GitHub support
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2,200+ Topics & Practice Points
12+ Practical Projects
Live Instructor Training
100% Placement Assistance
Advanced Excel SQL Power BI Python Statistics Generative AI GitHub Portfolio
COMPREHENSIVE COVERAGE

2,200+ Topics Across 6 Core Technologies

Foundation-to-advanced concepts, guided practice, assessments and business applications across the complete Data Analytics learning path.

500+Advanced Excel Topics
450+SQL Topics
500+Power BI Topics
300+Python Topics
250+Statistics Topics
200+Generative AI Topics

Complete Module-wise Curriculum

Structured learning from foundation to practical implementation and career preparation.

01

Advanced Excel

500+ TOPICS & PRACTICE POINTS
  • Data cleaning and validation
  • IF, IFS and logical functions
  • Lookup functions: XLOOKUP, INDEX-MATCH
  • PivotTables, charts and dashboards
  • Power Query and data modelling
  • Macros and VBA fundamentals
  • Dynamic arrays, What-If Analysis and Goal Seek
  • Advanced conditional formatting and MIS reporting
  • Interactive Excel dashboard development
02

SQL for Data Analysis

450+ TOPICS & PRACTICE POINTS
  • Database and table fundamentals
  • SELECT, filtering and sorting
  • Joins, subqueries and set operators
  • GROUP BY, HAVING and aggregate functions
  • CTEs and window functions
  • Views, procedures and business queries
  • Advanced CTEs, recursive queries and query optimization
  • PIVOT, UNPIVOT, triggers and stored procedures
  • Real business database case studies
03

Power BI

500+ TOPICS & PRACTICE POINTS
  • Power Query transformations
  • Data modelling and relationships
  • DAX measures and calculated columns
  • Time intelligence and KPI design
  • Interactive dashboards and drill-through
  • Power BI Service, sharing and RLS
  • Advanced DAX: CALCULATE, SUMX, RANKX and variables
  • Bookmarks, tooltips, drill-through and What-If parameters
  • Dashboard performance optimization and storytelling
04

Python for Analytics

300+ TOPICS & PRACTICE POINTS
  • Python fundamentals and data structures
  • NumPy and pandas
  • Cleaning, merging and reshaping data
  • Exploratory data analysis
  • Matplotlib and Seaborn visualization
  • Excel and reporting automation
  • Missing values, outliers and feature engineering
  • API, CSV, Excel and database connectivity
  • Automated analytical report generation
05

Statistics

250+ TOPICS & PRACTICE POINTS
  • Descriptive statistics
  • Probability and distributions
  • Sampling and confidence intervals
  • Hypothesis testing and ANOVA
  • Correlation and regression
  • Business interpretation of results
  • A/B testing and business experimentation
  • Time-series and forecasting fundamentals
  • Data-driven decision-making case studies
06

Generative AI for Analysts

200+ TOPICS & PRACTICE POINTS
  • Generative AI for analysis
  • Prompting for Excel, SQL and Python
  • ChatGPT for formulas, analysis, coding and insight generation
  • Claude for document analysis and structured reasoning
  • Google Gemini for research and multimodal analysis
  • Microsoft Copilot for Excel and Power BI productivity
  • Perplexity for research and source-based exploration
  • AI-assisted data cleaning and formula generation
  • Natural-language SQL and DAX assistance
  • AI-supported insight writing and presentations
  • Responsible AI, verification and data privacy
07

English Communication, Interview Preparation & Career Launch

  • Business problem definition and KPI planning
  • End-to-end multi-tool capstone project
  • GitHub portfolio and project documentation
  • Resume and LinkedIn profile optimization
  • Professional English self-introduction and workplace communication
  • Data Analyst technical interview questions
  • SQL, Excel, Power BI and Python practical interview rounds
  • Project explanation and dashboard presentation practice
  • HR interview, salary discussion and confidence building
  • Multiple mock technical and HR interviews
  • Final dashboard presentation to an expert panel
DASHBOARD LAB

Build Industry-Style Interactive Dashboards

Students will not only learn charts. They will design management-ready dashboards that convert raw data into KPIs, trends, insights and business recommendations.

  • Executive KPI scorecards
  • Drill-down and dynamic filters
  • Sales, HR, Finance and Operations reporting
  • Dashboard storytelling and presentation
Sales Analytics Dashboard FY 2026 ▾
Revenue ₹24.8M
Growth 18.4%
Orders 12,480
Margin 31.6%
Monthly Performance
Category Mix

12+ Industry-Level Projects

Complete tool-wise assignments, guided projects and a multi-tool capstone using realistic business datasets.

Retail Sales Analytics

Revenue, profit, product and regional performance dashboard.

EXCEL + POWER BI

HR Attrition Analytics

Employee turnover patterns, workforce KPIs and retention insights.

POWER BI + DAX

Bank Loan Analysis

Loan portfolio, risk segments, approval trends and borrower profiles.

SQL + POWER BI

E-commerce Analysis

Customer behaviour, conversion, repeat orders and product performance.

PYTHON + SQL

Inventory Optimization

Stock movement, ageing, reorder levels and inventory risk reporting.

EXCEL + POWER QUERY

Manufacturing Operations

Production efficiency, downtime, quality and target achievement.

POWER BI

Hospital OPD Analysis

Patient volume, waiting time, department load and service KPIs.

EXCEL + POWER BI

Road Accident Analytics

Severity trends, location patterns and contributing-factor analysis.

PYTHON

Customer Segmentation

RFM analysis and high-value customer segment identification.

PYTHON + STATISTICS

Marketing Campaign ROI

Channel performance, cost per lead and campaign conversion analysis.

POWER BI

SQL Business Case

Complex joins, CTEs and window functions for management questions.

ADVANCED SQL

Final Capstone

Clean, model, analyse and present a complete business solution.

ALL TOOLS

Placement Assistance Journey

Structured career preparation designed to help learners present their skills confidently and apply for relevant opportunities.

1

Skill Assessment

Identify strengths and improvement areas.

2

Resume & LinkedIn

Create an analytics-focused professional profile.

3

Project Portfolio

Present dashboards and case studies effectively.

4

Mock Interviews

Technical, project and HR interview practice.

5

Job Assistance

Relevant openings, referrals and application guidance.

CAREER-READY BONUS

Free Career Development Classes

Technical skills help you get shortlisted; communication and a strong professional profile help you convert opportunities.

English Communication Classes

Build confidence for interviews, workplace discussions and professional presentations.

  • Professional self-introduction
  • Interview answer practice
  • Email and workplace communication
  • Presentation and speaking confidence

LinkedIn Profile Optimization

Create a recruiter-friendly LinkedIn presence and learn how to find relevant analyst opportunities.

  • Headline and About section
  • Skills and project presentation
  • Recruiter networking strategy
  • Job-search profile optimization

GitHub Analytics Portfolio

Publish documented SQL, Python and dashboard projects as evidence of practical ability.

  • Account and repository setup
  • Professional project README
  • Dataset, code and insight structure
  • Portfolio links for resume and LinkedIn
4.9
★★★★★
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WHY AFL INSTITUTE

Practical Learning With Career Focus

Industry Trainers

Learn practical workflows and business problem-solving.

Live Projects

Build portfolio-ready dashboards and case studies.

Repeat Modules

Repeat eligible modules for stronger understanding.

Doubt Support

Get guided practice and regular doubt-solving.

Career Preparation Included

Resume building, LinkedIn guidance, portfolio support, mock interviews, doubt-solving sessions and relevant job assistance.

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Frequently Asked Questions

Common questions about the Advanced Data Analytics course in Vadodara.

Yes. The syllabus starts with fundamentals and progresses step-by-step to advanced dashboards, SQL, Python, Statistics and AI tools.
Advanced Excel, SQL, Power BI, Python, Statistics, Generative AI tools and GitHub portfolio preparation are included.
You will complete tool-wise practical exercises, 12+ guided industry-level projects and an end-to-end capstone project.
AFL Institute provides placement assistance, not a job guarantee. Support includes resume building, portfolio guidance, interview preparation and relevant job assistance.
407, Helix Complex, Opposite Hotel Surya, Sayajigunj, Vadodara, Gujarat 390007.
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