Interactive Retail Operations Dashboard
An end-to-end data pipeline routing raw sales sheets through custom Power Query transformations, built with advanced DAX calculations, and published as a live KPI visual tracker.
DAJob-Oriented Program
Data Analytics Course
Transform raw datasets into strategic business insights. Learn to write complex database queries, construct interactive visual reports, and perform diagnostic data auditing to solve real-world industry bottlenecks.
Total Duration
6 Months
Track
6-8 Months
Learning Style
Practical + Case Study Driven
Database Querying
Write professional relational queries in SQL
BI Dashboarding
Build live corporate dashboards with Power BI
Python Analysis
Process and analyze heavy data sheets with Pandas
Program Key Highlights
Why this Data Analytics program feels more practical, clearer, and easier to commit to
We bypass surface-level software overviews to emphasize raw logic, structural calculation models, and actual data extraction processes used by agile corporate planning teams. Every class includes diagnostic lab reviews and mock analytics runboards.
180+
Hours of guided practical learning
12+
Structured business case checkpoints
1:1
Portfolio strategy and technical review support
Portfolio
Deployed dashboard and SQL projects
48+
Interactive sessions
1000+
Student support touchpoints
Placement
Dedicated corporate drive access
Why Aspiring Analysts Choose This Master Track
An analytics-first curriculum designed for enterprise data environments
Deep technical execution spanning relational databases, complex joins, subqueries, and window functions.
Comprehensive grounding in Advanced Excel operations, pivot tables, and array configurations.
Hands-on dashboarding covering DAX measures, relational modeling, and interactive reporting structures.
Practical application of Python scripting, descriptive statistical models, and data cleaning pipelines.
6 Months
Training Track
3 Case Studies
Real practice outputs
Data-Ready
Aptitude mapping guidance
About This Course
An extensive structural journey built for complete data domain readiness
Modern businesses generate millions of database records that require systematic collection, restructuring, and reporting to guide daily operational steps and investments. The Data Analytics Master Program structures this massive technical field into a clear, predictable 6-month sequence. You begin by mastering Advanced Excel formatting and SQL relational querying, proceed directly to Power BI schema configurations, and conclude with core statistical analysis using Python.
Guided systematically by active data specialists and BI engineers, you will map out data cleaning pipelines, design automated metrics, and publish executive tracking dashboards. By graduation, you will own a professional Git repository showcasing functional analytical projects, dataset transformations, and interactive dashboards that top hiring managers value.
Eligibility
Who can confidently start this path
Graduates or final-year students (B.Com, BBA, BCA, MCA, B.Sc, B.Tech) looking to build a high-growth career in business intelligence and data operations.
IT professionals, database managers, or support executives seeking to upgrade their profiles toward high-paying analytics roles.
Business managers, digital marketers, and finance experts wanting to transition from simple spreadsheets to automated database systems.
Course Curriculum
Learn through a structured roadmap, not through disconnected chapters
Each module represents a practical phase in the learning journey.
Module 1
Module 1: Advanced Excel for Data Analysis
+−
Module 1
Module 1: Advanced Excel for Data Analysis
- Mastering Logical and Lookup Functions: VLOOKUP, HLOOKUP, INDEX, and MATCH
- Working with Pivot Tables, Pivot Charts, and Custom Slicers
- Data Validation Rules, Conditional Formatting, and Text Operations
- Designing Dynamic Financial and Operational KPI Templates
Module 2
Module 2: Relational Database Querying (SQL)
+−
Module 2
Module 2: Relational Database Querying (SQL)
- Understanding Relational Schemas, Primary Keys, and Foreign Constraints
- Writing Core Data Queries: SELECT, WHERE, GROUP BY, and HAVING clauses
- Combining Datasets via INNER, LEFT, RIGHT, and FULL OUTER JOINS
- Advanced Database Logic: Nested Subqueries and Aggregate Functions
Module 3
Module 3: Business Intelligence & Reporting (Power BI)
+−
Module 3
Module 3: Business Intelligence & Reporting (Power BI)
- Connecting Databases and Transforming Raw Records with Power Query
- Designing Star Schemas and Managing Relational Data Models
- Writing Custom Calculations using Data Analysis Expressions (DAX)
- Building Interactive Executive Dashboards and KPI Tracking Reports
Module 4
Module 4: Python Foundations for Data Analytics
+−
Module 4
Module 4: Python Foundations for Data Analytics
- Introduction to Python Syntax, Variable Types, and Control Flows
- Data Manipulation and Aggregation utilizing the Pandas Library
- Numerical Vector Computing operations using the NumPy Library
- Data Cleansing: Handling Missing Values, Outliers, and Inbound File Formats
Build Industry-Based Projects
What kind of practical output learners can expect from this course
E-Commerce Database Optimization Project
A database querying project analyzing transaction tables using complex SQL joins, extracting customer cohort groupings, and building optimized views for business report structures.
Tools They Will Learn
Category-wise tools, platforms, and software exposure
Spreadsheets & Query Engines
Microsoft Advanced Excel
MySQL / PostgreSQL Server
Visual Reporting & Programming
Power BI Desktop
Python (Pandas & NumPy)
Certificate
Earn a course completion certificate you can proudly showcase
Secure an advanced data analytics validation from StackCode IT. Demonstrate complete operational authority over relational queries, scaleable visual dashboards, and automated script pipelines directly to tech recruiters.
Professional Credential
A verified certificate engineered to add significant weight to your analytics resume and LinkedIn profile. --- Project Validation Granted strictly following the manual technical evaluation and validation of your relational database and dashboard projects. --- Operations Ready Signals to corporate planning teams that you understand SQL parameters, data safety rules, and performance dashboard tools.
Certificate Type
Training Completion
Track
Job-Oriented Program
Duration
6 Months
Job Scope After Course Completion
Where learners can start building their career after this course
Data Analyst
Business Intelligence Analyst
Data Operations Specialist
Reporting Consultant
Companies Hiring For These Skills
Roles from product brands and major service companies both value these skills
Multinational IT service providers, e-commerce conglomerates, financial consulting networks, and data analytics firms located inside prominent regional IT hubs like Ahmedabad, Gandhinagar GIFT City, and Surat actively onboard analysts.
Testimonial Videos
Hear from our students
Explore More Reviews
Sc
Bhavik Patel
Data Analyst at AnalyticsCorp
The focus on SQL optimizations and Power BI model systems clarified dashboarding for me completely. I resolved complex client-case tasks with absolute ease during my recruitment rounds.
Sc
Kinjal Dave
Associate Business Intelligence Engineer
Coming from a commerce background, I needed true tool guidance. StackCode's hands-on lab modules kept the focus completely on functional analytics tool optimization.
Centres In Gujarat
Ahmedabad & Rajkot centers with guidance support
Ahmedabad
Ahmedabad Learning Center
A-1114 Siddhi Vinayak Tower, Kataria Automobiles Rd, Makarba, Ahmedabad, Gujarat 380051
Rajkot
Rajkot Learning Center
B-925 RK Iconic Tower, 150 Feet Ring Rd, nr. Shital Park, Rajkot, Gujarat 360006
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Frequently Asked Questions
Got questions? We've kept the answers simple, practical, and easier to scan before joining.
Is an advanced coding background required to start this course?+−
No prior advanced coding expertise is assumed. We start the technical track with baseline spreadsheet structures and foundational SQL concepts before graduating to Python scripting and relational data modeling.