Master Business Analysis Tools with Real World Application

Learn Excel, SQL, Power BI and Tableau the way companies actually use them. Live projects, industry examples, and guided mentorship.

32 Weeks
Duration
300+ Lessons
Content
Certificate
Included
Course Preview

Why Choose This Course?

A practical, industry-aligned program designed to help you build Business Analysis skills and grow confidently in your career.

Industry-Related Skills

Learn tools and concepts that professionals use daily at work. Focus on practical application, not just theory.

Hands-On, Project-Driven Learning

Work on real-world scenarios and guided projects that mirror actual workplace tasks—so you can apply what you learn immediately.

Beginner-Friendly, Career-Focused

No prior experience required. We start from the fundamentals and gradually move to advanced, job-ready skills with clear explanations.

Industry-Aligned Teaching Approach

Learn best practices, structured workflows, and problem-solving methods followed in real organizations—designed to make you workplace-ready.

Career Opportunities

This course prepares you for high-demand, well-paying roles in Business Analysis

Data Analyst

Salary: ₹6-10 LPA

Demand: Very High

Work with data to create reports, dashboards, and insights that support business decisions.

Business Analyst

Salary: ₹6-12 LPA

Demand: High

Bridge the gap between business teams and data by translating requirements into actionable insights.

Operations Analyst

Salary: ₹6-9 LPA

Demand: High

Analyze operational data to improve efficiency, processes, and performance across teams.

Finance Analyst

Salary: ₹6-14 LPA

Demand: High

Use data to track financial performance, budgets, forecasts, and business profitability.

Sales Analyst

Salary: ₹6-10 LPA

Demand: High

Analyze sales data, customer trends, and performance metrics to help teams close better deals.

MIS / Reporting Analyst

Salary: ₹5-8 LPA

Demand: High

Create structured reports and dashboards used by management for regular decision-making.

Who Hires for These Roles?

Companies across industries actively recruit Business Analysts

Job Market Outlook

30%

Expected job growth in Business Analysis roles by 2028

150k+

Job openings annually in India for Business Analysts

₹ 4.5 - 6 LPA

Average starting salary for entry-level roles

Technologies & Tools You'll Master

Learn the most in-demand tools used by professionals to analyze data, build reports, and drive business decisions.

Microsoft Excel

Microsoft Excel

Master data cleaning, formulas, pivot tables, dashboards, and automation techniques.

SQL

SQL

Learn to extract, filter, and analyze data using structured queries.

Power BI

Power BI

Build interactive dashboards and business intelligence reports.

Tableau

Tableau

Create impactful data visualizations and storytelling dashboards.

Who Is This Program For?

Designed for individuals and professionals across functions who want to work smarter with data and grow in their careers.

Freshers & Graduates

Ideal For

Learn how to work with real business data, create reports, and build dashboards—skills expected in entry-level roles across companies.

Sales Professionals

Highly Relevant

Analyze sales performance, targets vs achievement, customer trends, and monthly reports to support decision-making.

Operations Professionals

Highly Relevant

Track KPIs, monitor process efficiency, analyze operational data, and create performance dashboards for management reviews.

Finance & Accounting Professionals

Highly Relevant

Work with budgets, P&L data, forecasts, variance analysis, and financial reports using structured analytics.

HR & People Operations

Highly Relevant

Analyze hiring data, attrition trends, performance metrics, and workforce reports to support HR decisions.

Career Switchers & Upskillers

Strong Fit

Move into data-driven roles by learning tools and workflows used across business, analytics, and reporting teams.

Prerequisites

  • A computer or laptop with internet access
  • 6–7 hours per week to dedicate to learning
  • Willingness to learn and practice consistently
  • No prior technical or coding experience required

What You'll Achieve

  • Work on 20+ industry-relevant projects
  • Earn a verified certificate of completion
  • Launch or accelerate your data-driven career
  • Prepare for real job interviews with practical scenarios
  • Master in-demand analytics skills used across industries

Course Curriculum

A structured learning path with hands-on projects

Excel Logo
Excel
1
Introduction to Excel
7 lessons
  • Intro to Excel and why is it important
  • Excel UI overview
  • Ribbon walkthrough (Home, Insert, Data, Formulas)
  • Cell types: General, Number, Currency, Date
  • Formatting techniques: alignment, borders, conditional fills
  • Navigation: Freeze Panes, Split View, Hide/Unhide rows/columns/sheets
  • Shortcuts every professional must know
2
Explore the Excel Ribbon
6 lessons
  • Understand the legacy tools available in the ribbon
  • Sort
  • Filter/Advanced Filters
  • Remove duplicates
  • Text to columns
  • Data Validation
3
Formulas & Functions in Excel
8 lessons
  • Introduction: Why formulas matter for analysts
  • How to do arithmetic calculations, including constants
  • Referencing explained: Relative, Absolute ($A$1), Mixed
  • SUM: row totals, conditional ranges
  • AVERAGE: handling blanks vs zeros
  • MIN & MAX for data analysis
  • COUNT and its variations
  • Common mistakes & error handling
4
Logical Functions
6 lessons
  • IF function syntax
  • Simple conditions
  • Compound conditions with AND & OR
  • Nesting functions (SUM inside IF)
  • Introduce IFS for multi-level outcomes
  • IFERROR to handle invalid data
5
Meet the New Excel Engine
6 lessons
  • Introduce the new Excel engine
  • Understand the power of this new tool with examples
  • Why lookups are essential
  • Explain lookup with a simple example
  • Quick review of VLOOKUP and limitations
  • The modern replacement XLOOKUP explained
6
Text Functions
4 lessons
  • LEFT, RIGHT, MID, LEN quick intro
  • TRIM & CLEAN (removing unwanted text)
  • TEXTJOIN, TEXTSPLIT
  • Using "&" for merging text
7
Conditional Formatting & Date/Time
5 lessons
  • Conditional formatting basics & Highlight duplicates
  • Highlight values above/below average
  • Color scales & icon sets
  • TODAY & NOW, NETWORKDAYS, DATEDIF, EOMONTH
8
Charts
7 lessons
  • Why visuals matter in analytics (storytelling)
  • Choosing the right chart for the right data
  • Bar & Column charts -> comparisons
  • Line charts -> trends over time
  • Combo charts -> show 2 metrics
  • Trendlines & forecasting basics
  • Formatting charts (axis, legends, labels, colors)
9
Pivot Tables Basics
4 lessons
  • What is a Pivot Table? Why analysts use it
  • Structure: Rows, Columns, Values, Filters
  • Aggregations: SUM, COUNT, AVERAGE
  • Refreshing pivots when source data updates
10
Pivot Charts & Advanced
4 lessons
  • Pivot charts basics: bar, line, pie
  • Grouping data: months, quarters, years
  • Calculated fields inside pivot tables
  • Adding slicers for interactivity
11
Power Query Basics
7 lessons
  • What is Power Query? Why analysts use it
  • Importing datasets into Power Query
  • Splitting columns (e.g., First Name / Last Name)
  • Removing duplicates
  • Replacing null/missing values
  • Trimming spaces
  • Applied Steps panel -> how every step is recorded
12
Power Query Advanced Features
4 lessons
  • Merge Queries (joining datasets)
  • Append Queries (stacking datasets)
  • Unpivot data (convert columns -> rows)
  • Replacing entire tables with transformations
13
Power Pivot
3 lessons
  • Why merging tables may not be the best scenario
  • Working with relational datasets
  • Creating connections between tables
14
Dashboard Design Principles
5 lessons
  • What is a Dashboard? Purpose in business
  • Good dashboard principles: Clarity & simplicity
  • Choosing the right visuals (KPIs, trends, details)
  • Consistent color scheme
  • Linking visuals with slicers
15
Google Sheets Basics & Collaboration
5 lessons
  • Difference between Google Sheets vs Excel
  • Basic formulas: SUM, AVERAGE, IF
  • Sharing files: view, comment, edit permissions
  • Version history -> restoring previous versions
  • Adding comments & assigning tasks
16
Google Sheets Advanced
4 lessons
  • UNIQUE -> extract unique values from a column
  • FILTER -> extract filtered data dynamically
  • IMPORTRANGE -> import data from another Google Sheet
  • Add-ons (installing, using third-party tools)
17
Dashboard Integration (Excel + Sheets)
3 lessons
  • Why integrate Excel & Google Sheets (offline + cloud benefits)
  • Import/export data between Excel & Sheets
  • Linking Excel dashboards with Google Sheets data
18
VBA Fundamentals & Automation
10 lessons
  • Introduction to Macros & VBE
  • Recording macros vs writing code
  • Variables & data types
  • Loops (For, Do, For Each)
  • Conditions (If, ElseIf, Select Case)
  • Working with Excel Objects: Workbook, Worksheet, Range
  • Avoiding .Select & .Activate
  • Reading & writing data (arrays)
  • Automating data cleaning & formatting
  • Refreshing Power Query with VBA
19
VBA Forms & Events
5 lessons
  • UserForms: TextBox, ComboBox, Buttons
  • Form validation
  • Event-driven automation (Workbook_Open, Change events)
  • Error handling & debugging tools
  • Writing clean maintainable code
20
Automated Reporting Tool
4 lessons
  • UserForm for filters
  • Importing & cleaning data
  • Auto-generating Pivot Table + Chart
  • Export report as PDF
SQL Logo
SQL
1
Introduction to SQL
7 lessons
  • Intro to SQL & RDBMS
  • Types of SQL databases (MySQL, SQL Server, PostgreSQL, Oracle)
  • Data Flow & ETL Concepts
  • Installation (Installing SQL Server, Creating DB connection, SSMS intro)
  • Data types (Numeric, String, Date/Time, Boolean, Special types)
  • Normalization (1NF, 2NF, 3NF, BCNF, Denormalization)
2
Database & Table Operations
5 lessons
  • CREATE / DROP database/ table
  • ALTER TABLE
  • Constraints (NOT NULL, UNIQUE, CHECK, DEFAULT)
  • Keys (Primary, Foreign, Composite)
  • CASCADE rules
3
Data Operations
5 lessons
  • Insert, update, delete
  • Select (basic -> advanced)
  • Filtering (WHERE, AND/OR, BETWEEN, IN, LIKE)
  • Sorting (ORDER BY)
  • LIMIT / TOP
4
Aggregations
3 lessons
  • COUNT, SUM, AVG, MIN, MAX
  • GROUP BY
  • HAVING
5
Joins & Set Operations
5 lessons
  • Inner, left, right, full (Join conditions, Real-world examples)
  • Cross join (Cartesian product)
  • Self join (Hierarchical data, comparing rows)
  • Union, Union All
  • Intersect, Except
6
Subqueries & Operators
3 lessons
  • Subqueries (Scalar, column, row, table subqueries)
  • EXISTS, NOT EXISTS
  • ANY, ALL (Comparisons with subquery results)
7
Functions
4 lessons
  • String functions (CONCAT, SUBSTRING, LENGTH, UPPER/LOWER)
  • Numeric functions (ROUND, CEIL, FLOOR, ABS)
  • Date functions (DATEDIFF, DATEADD, NOW, CURRENT_DATE)
  • Conversion functions (CAST, CONVERT, PARSE)
8
Advanced SQL
6 lessons
  • CTE (WITH clause, Recursive CTEs)
  • Temporary tables (#temp, Global temp tables, Table variables)
  • Views (Creating views, Updating via views)
  • Window functions (ROW_NUMBER, RANK, PARTITION)
  • Pivot/Unpivot
  • JSON handling
9
Transactions & Indexing
4 lessons
  • COMMIT, ROLLBACK, SAVEPOINT
  • ACID (Atomicity, Consistency, Isolation, Durability)
  • Indexes (Clustered, Non-clustered, When to use)
  • Performance tuning (Query optimization, Execution plans)
10
Import/Export
2 lessons
  • Load CSV
  • Export data
Power BI Logo
Power BI
1
Power BI Introduction
3 lessons
  • Introduction to Power BI
  • Download & Installation
  • How to use Power BI desktop Application
2
Introduction to Power Query Editor
13 lessons
  • Introduction to Power Query Editor & Main components
  • Remove column/rows, Keep rows
  • Remove duplicate, null rows, errors
  • Sorting Data
  • Split column, creating new columns by splitting
  • Advance split column (space, character, case, digit)
  • Groupby to summarise information & Creating Table
  • Data type conversion & Replace value
  • Shifting first row as header, Merge sheet, Append sheet
  • Joins: Inner, left, right, left anti, right anti, full
  • Appending files
3
Transform Section
14 lessons
  • Transform section (Table)
  • Different rows & column operations
  • Handle missing value, pivot and unpivot column
  • Text operations: split column, merging column
  • Formatting and Extraction (before, after, between delimiter)
  • Basic Date column operation
  • Number column operation
  • Date, Time, Text Column Operation on data
  • Merge column & Extract data from column
  • Formatting the Column
  • Use first row as header, group by
4
Add Column Section
9 lessons
  • Transpose & Reverse rows
  • Creating index column for table
  • Create duplicate column & Conditional column
  • Combining Data by merging & appending
  • Statistics operation
  • Standard operation
  • Close and Apply for saving the file
5
Analysis and their types
4 lessons
  • Data and their types
  • Analysis and their types
  • Univariate Analysis
  • Bivariate & Multivariate Analysis
6
Different Types of Charts
15 lessons
  • Creating Charts in Power BI
  • Stack column/bar, Clustered column/bar Chart
  • Saving a file in local system
  • Formatting a chart by using different formatting options
  • 100% Stack column, Bar Chart
  • Trend Analysis chart (Line, area, stack area chart)
  • Pie chart, Funnel Chart, Donut chart
  • Slicer for filtering data
  • Scatterplot (Univariate, Bivariate, Multivariate)
  • Map chart, Filled map
  • Tree map chart
7
Top N Analysis
4 lessons
  • Top N analysis with Card With Numerical & Text column
  • Card With date column
  • Multi row card for multiple analysis
  • Advance Filtering using slicer
8
Table & Matrix
2 lessons
  • Creating Table for numerical analysis
  • Matrix for summary of data
9
Filter Section, Q & A AI
3 lessons
  • Filter Section to filter data based on this page and all page
  • Getting More Visuals to create multiple charts
  • Q & A in Power BI
10
Data Modeling
4 lessons
  • Data Modelling to create relationship with multiple tables
  • Data Modelling implementation
  • DAX
  • Calculated column
11
DAX Queries
3 lessons
  • Measures
  • Aggregation function sum, average, min, max
  • Aggregation function SumX, AverageX, MinX, MaxX
12
Text & Logical Function
7 lessons
  • Calculate & Filter Context
  • Different Type of Text Functions
  • And, Or, Not functions
  • Logical Functions (If)
  • Use And, Or with logical function
  • Switch function for multiple condition
  • Gauge Chart for sales performance analysis
13
Dashboard
1 lesson
  • Dashboard to create report and deep analysis
14
Security and Dashboard Sharing
4 lessons
  • Row Level Security to secure reports
  • Sharing Dashboard report with team
  • Kaggle (Real world dataset platform)
  • Sharing project insight in Linkedin
Tableau Logo
Tableau
1
Introduction to Tableau
5 lessons
  • Introduction to Tableau?
  • Tableau Products (Desktop, Prep, Online, Server, Public)
  • Installing Tableau Public / Desktop
  • Tableau Interface Overview
  • Data Types in Tableau
2
Data Connections
2 lessons
  • Connect to Excel, CSV, DB
  • Live vs Extract
3
Data Preparation
5 lessons
  • Joins (Inner/Left/Right/Full joins, Join clauses, Join performance)
  • Blends (Primary vs secondary source, Blend icons, Limitations)
  • Union (Row-level union, Wildcard union, Combining multiple files)
  • Pivot (Pivoting columns to rows, Unpivoting behavior)
  • Data Interpreter
4
Charts Basics
6 lessons
  • Bar Chart (Vertical/Horizontal bars, Stacked bars, Side-by-side bars)
  • Line Chart (Continuous vs discrete lines, Multiple measures, Trend lines)
  • Area Chart (Stacked area, Dual-axis area, Usage cases)
  • Pie / Donut Chart (Labeling, Percentage view, Donut hack using dual-axis)
  • Map (Symbol + Filled Map)
  • Crosstab (Text Table)
5
Filtering & Sorting
6 lessons
  • Basic Filters (Dimension filter, Measure filter, Wildcard, Null handling)
  • Context Filters (Primary filter behavior, Performance impact, Use cases)
  • Sort (Manual sort, Nested sort, Sort by fields)
  • Group (Manual grouping, Hierarchical grouping, Editing groups)
  • Sets (Dynamic sets, Condition sets, Top N sets)
  • Hierarchies (Creating hierarchies, Drill down & roll up)
6
Calculations
7 lessons
  • Row-Level Calculations (Basic computed fields, Row-wise operations)
  • Aggregate Calculations (SUM, AVG, MIN, MAX, Nested aggregates)
  • Logical Calculations (IF, CASE, Nested IFs, Boolean logic)
  • Date Functions (DATEDIFF, DATEPART, DATETRUNC, MAKEDATE)
  • Number Functions (ROUND, ABS, CEILING, ZN, NULLIF)
  • String Functions (LEFT, RIGHT, MID, FIND, CONCAT)
  • Parameter (Basic) (Creating parameters, Parameter controls, Basic use cases)
7
Advanced Calculations
7 lessons
  • LOD Expressions (FIXED) (Syntax, When to use FIXED, Level-of-detail granularity)
  • INCLUDE / EXCLUDE (Differences with FIXED, Aggregation behavior)
  • Window Functions (WINDOW_SUM, WINDOW_AVG, Window min/max)
  • Table Calculations (Direction, Addressing, Partitioning, Scope)
  • Percent of Total
  • Running Total
  • Rank (Dense rank, Unique rank, Rank by partition)
8
Dashboards
5 lessons
  • Creating a Dashboard
  • Layouts & Containers
  • Actions (Filter, Highlight, URL)
  • Device Designer
  • Best Practices of Dashboard UI/UX
9
Maps, Storyboards & Publishing
6 lessons
  • Custom Maps
  • Map Layers
  • Geographic Roles
  • Story Points (Story navigation, Layout, Use cases)
  • Exporting Dashboards
  • Publishing to Tableau Public / Online

Your Learning Path

A structured, step-by-step journey from beginner to job-ready analyst

Phase 1: Excel Foundations

Duration: 1.5 – 2 Months

Focus: Build strong fundamentals in working with business data

  • Data cleaning and formatting
  • Formulas, functions, and logical analysis
  • Pivot tables and structured reporting
  • Dashboard creation for real business scenarios
  • 5 hands-on Excel projects based on real workplace use cases

👉 Outcome: Confidence in handling data and building reports using Excel.

Phase 2: SQL for Data Analysis

Duration: 2 – 3 Months

Focus: Work with databases and structured data

  • Writing queries to extract and analyze data
  • Filtering, joins, aggregations, and subqueries
  • Solving real business questions using SQL
  • Working with datasets similar to production environments
  • 5 practical SQL projects simulating real analyst tasks

👉 Outcome: Ability to work with databases and answer business questions using data.

Phase 3: Power BI for Business Intelligence

Duration: 1 – 2 Months

Focus: Transform data into interactive dashboards

  • Data modeling and relationships
  • DAX fundamentals for calculations
  • Interactive dashboards and reports
  • Business storytelling through visuals
  • 5 real-world Power BI dashboard projects

👉 Outcome: Create professional dashboards used by management and teams.

Phase 4: Tableau for Data Visualization

Duration: 1 – 2 Months

Focus: Advanced visualization and data storytelling

  • Creating impactful charts and visual narratives
  • Dashboard design best practices
  • Analyzing trends and patterns visually
  • Presenting insights clearly to stakeholders
  • 5 Tableau projects focused on decision-making scenarios

👉 Outcome: Master visual storytelling and executive-level presentations.

Phase 5: CV Optimization & Job Application Strategy

Duration: 1 – 2 Weeks

Focus: Position yourself as an analyst and apply strategically

  • Build a professional, analyst-ready CV aligned to industry expectations
  • Use free CV & keyword tools to optimize your resume for ATS and recruiter searches
  • Structure projects and skills to match Data / Business / Operations / Finance Analyst roles
  • Learn job search strategies across LinkedIn, Naukri, Indeed, company career pages
  • Identify relevant openings based on role, skills, and experience level
  • Learn how to find and reach out to hiring managers
  • How to network with employees inside the company when applying for a role

👉 Outcome: A strong analyst CV + a clear, repeatable job application strategy.

Phase 6: Interview Preparation & Career Readiness

Duration: 1 – 2 Weeks

Focus: Clear interviews with confidence and professionalism

  • Role-specific interview preparation based on job description and domain
  • How to understand a company's product, business model, and data use
  • Preparing answers for technical + scenario-based questions
  • Soft skills training: communication, clarity, confidence, and problem explanation
  • 1–2 day interview preparation frameworks before actual interviews
  • Mock interview guidance and common interviewer expectations
  • Salary discussion and negotiation fundamentals
  • Professional behavior, follow-ups, and offer evaluation

👉 Outcome: Interview confidence, structured preparation, and readiness to convert opportunities.

Program Completion Outcome

✅ 20+ industry projects

✅ 1 Capstone Project

✅ Job-ready analytics skillset

✅ Optimized CV + job search playbook

Top 10 Portfolio Projects

Industry-relevant projects that demonstrate core analytics skills for analyst roles

Customer Order & Revenue Analysis

Analyze ecommerce order and revenue data to identify sales patterns, top customers, and revenue optimization strategies.

Tools: SQL, Excel, Power BI

Transaction Risk & Fraud Detection

Detect suspicious transactions using analytics techniques to flag potential fraud in banking datasets.

Tools: SQL, Excel, Power BI/Tableau

Sales & Inventory Optimization

Explore retail sales data to balance stock levels, forecast demand, and improve inventory efficiency.

Tools: Excel, Power BI

Marketing Campaign ROI Analysis

Measure the effectiveness of marketing campaigns, understand customer engagement, and calculate ROI.

Tools: SQL, Power BI, Tableau

Logistics & Route Efficiency Dashboard

Optimize transportation routes and improve delivery performance through data exploration and visualization.

Tools: SQL, Power BI

Retail Data Exploration & Preparation

Clean, prepare, and analyze large retail datasets to draw actionable business insights.

Tools: Excel, Tableau

Sales & Geography Visual Analysis

Build interactive visual dashboards showing sales trends across regions for better strategic decisions.

Tools: Tableau, Power BI

Quick Commerce Delivery Performance Dashboard

Track delivery times and performance metrics from quick commerce datasets (e.g., Zomato, Swiggy).

Tools: Excel, Tableau

Patient Visit & Treatment Analysis

Uncover insights in healthcare data to analyze patient visits, treatment trends, and hospital resource usage.

Tools: SQL, Power BI

Agricultural Yield & Cost Analysis

Study crop production and cost datasets to evaluate agricultural performance and recommend improvements.

Tools: Excel, Power BI

Trusted by Learners at Top Companies

Our learners work at leading organizations across industries

Success Stories

Our learners come from diverse backgrounds and move into data-driven roles across industries with confidence and clarity.

87%

Learners secure roles or transitions within 6 months

With consistent learning, project work, and structured job preparation.

65%

Average salary growth for working professionals

Driven by upskilling, role transitions, and improved data proficiency.

500+

Companies where our learners have applied & interviewed

Across IT services, startups, consulting firms, BFSI, SaaS, and corporates.

Career Support Included

We don't just teach tools — we help you prepare, apply, and succeed.

Resume Review

Get structured feedback to build an analyst-ready CV aligned with job roles and ATS keywords.

Portfolio Building

Learn how to present your 20+ projects clearly to recruiters and hiring managers.

Interview Preparation

Role-specific interview guidance, mock questions, and preparation strategies for real interviews.

Job Search & Networking Guidance

Learn how to apply strategically, reach out to recruiters, and connect with professionals in your target companies.

Student Success Stories

Join thousands of learners mastering Excel, SQL, Tableau & Power BI

R

Rahul Sharma

Data Analyst

"The structured curriculum and hands-on projects gave me the confidence to transition into a data analyst role. Within 4 months of completing the course, I landed my first analyst position."

Placement Success
P

Priya Patel

Business Analyst

"Coming from a non-technical background, I was hesitant. But the clear teaching and real-world projects made everything click. I'm now working on business intelligence dashboards daily."

Career Transition
A

Amit Kumar

Operations Analyst

"The SQL and Excel modules were game-changers. I could immediately apply what I learned in my current role, which led to a promotion and 40% salary increase."

Salary Hike
S

Sneha Gupta

Financial Analyst

"The advanced Excel and Power BI modules helped me automate my reporting tasks. I now save 10 hours a week and present insights directly to stakeholders."

Excel & Power BI
V

Vikram Singh

Data Engineer

"SQL was intimidating at first, but the step-by-step approach helped me master complex queries. I recently cracked a Data Engineer interview at a top MNC."

SQL & Python
J

Anjali Desai

Marketing Analytics

"I learned how to visualize marketing data using Tableau. The portfolio projects I built during the course were exactly what my recruiters wanted to see."

Tableau & SQL

Earn Your Certificate

Showcase your achievement with a verified certificate recognized by top employers

Verified Certificate Preview

What Your Certificate Includes

  • Verified Credential

    Each certificate has a unique ID that employers can verify online.

  • Digital & Printable

    Download high-resolution PDF or share digital version.

  • LinkedIn Integration

    Add directly to your LinkedIn profile with one click.

  • Skills Breakdown

    Detailed list of all technologies and concepts mastered.

  • Employer Recognition

    Trusted by 500+ companies in their hiring process.

How to Earn Your Certificate

1

Complete All Learning Modules

Go through all course modules across Excel, SQL, Power BI, and Tableau with guided lessons.

2

Build Industry Projects

Complete 20+ hands-on projects based on real business scenarios to apply what you learn.

3

Clear Final Evaluation

Submit and review your final projects to demonstrate practical understanding and problem-solving.

4

Get Certified

Receive your verified Certificate of Completion, ready to share on LinkedIn and include in your CV.

Start Learning Today

Invest in your career with structured learning and long-term access

Complete Program Package

Everything you need to become job-ready in analytics

Program Fee:

₹14,999

(including GST)

Admission Fee:

₹5,000

Balance Fee:

Pay within 20 days

👉 10% OFF on one-time full payment

What's Included

  • 300+ structured lessons across Excel, SQL, Power BI & Tableau
  • 20 real-world industry projects
  • Downloadable resources s
  • Interview preparation & job application guidance
  • Certificate of Completion
  • Lifetime access to course content & updates
  • Learner community access