Data Analytics & Data Science Course in Bhopal | Miracle IT Career Academy
DATA ANALYTICS & BUSINESS INTELLIGENCE

Data Analytics & Data Science Course in Bhopal

Turn Raw Business Data into High-Impact Decisions

Master advanced Excel & Power Query, SQL databases, Python exploratory data analysis, Power BI business intelligence, and Tableau dashboards with hands-on workstation practice in M.P. Nagar.

3 - 5 Mo Verified Duration
100% Lab Practice
5+ Live Dashboards
1 : 1 Daily Mentorship
⚡ 5 In-Demand Data & BI Tools ● Click any card to spotlight
EXCEL
Excel Logo

Excel & Power Query

Spreadsheet Analytics

XLOOKUP • Pivot Tables • Data Models

SQL
SQL Logo

SQL Queries

Database Extraction

Complex Joins • CTEs • Window Funcs

PYTHON
Python Logo

Python & Pandas

Data Wrangling & EDA

NumPy • Matplotlib • Seaborn

POWER BI
Power BI Logo

Power BI

Business Intelligence

DAX Measures • Star Schema • KPIs

TABLEAU
Tableau Logo

Tableau

Visual Storytelling

Interactive Stories • Geo Maps • BI

Who Is This Course For?

Explore the right learning path based on your current background and data analytics career goals.

College Students

CS / IT / BCA Students

Overcome textbook database theory. Master complex SQL queries, database indexing, and interactive Power BI dashboards during your semester.

  • Minor & Major Project Support
  • Flexible Morning & Evening Batches
  • Power BI Portfolio Creation
Commerce & BBA

Commerce & Finance Grads

Leverage your business and accounting instincts into high-growth Data Analyst & Business Intelligence Consultant roles.

  • Financial & KPI Modeling
  • Zero Heavy Coding Required
  • Corporate Report Automation
Job Seekers

Recent Graduates

Graduated with a degree but missing hands-on corporate analytical skills? Build end-to-end dashboards using SQL, Python, and Power BI.

  • Technical SQL Interview Desk
  • 5+ Production Ready Dashboards
  • Resume & Profile Alignment
Skill Upgrade

Excel & Ops Specialists

Tired of slow manual spreadsheets and repetitive reporting? Transition to automated SQL pipelines, Power Query ETL, and dynamic Power BI.

  • Advanced Power Query & DAX
  • Automated Business Workflows
  • Executive Presentation Skills
Career Switchers

Career Switchers to Tech

Looking to transition into analytics from non-tech, sales, or operations roles with step-by-step practical guidance and transparent milestones.

  • Zero Prior Coding Required
  • Daily Mentor Availability
  • Structured Industry Roadmap

Structured 5-Stage Mastery Flow

A structured learning flow from raw spreadsheet data wrangling to automated cloud-published business intelligence dashboards.

Scroll to explore the 5 stages
01

Advanced Excel & Power Query

• WEEKS 1–3 — FOUNDATIONAL SPREADSHEETS & ETL MILESTONE

Clean, merge, and transform messy real-world corporate records into structured analytical tables using modern lookup functions, Pivot Tables, and automated Power Query ETL.

XLOOKUP & Dynamic Formulas Power Query Automated ETL Pivot Tables & Slicers Data Validation & Modeling
Core Technologies:
Excel Excel
Power Query Power Query
Data Modeling Data Models
Stage 1 Output: Automated Financial & Sales Model
Verified Model
Stage 1 Financial & Sales Dashboard
Stage 2 Output: Relational Schema & Multi-Table Queries
SQL Engine
Stage 2 Relational Database Schema
02

Relational SQL & Query Mastery

• WEEKS 4–7 — DATABASE EXTRACTION MILESTONE

Extract, filter, and aggregate millions of rows from enterprise relational databases with multi-table JOINs, subqueries, CTEs, and analytical window functions.

Complex Multi-Table JOINs GROUP BY & Aggregations Common Table Expressions (CTEs) Window Functions (RANK, DENSE_RANK)
Core Technologies:
SQL SQL
PostgreSQL PostgreSQL
MySQL MySQL
03

Python Wrangling & Exploratory Analysis

• WEEKS 8–11 — PYTHON & EDA DATA SCIENCE MILESTONE

Harness Pandas and NumPy for automated data cleansing, feature transformations, statistical summary metrics, and visual distribution mapping with Matplotlib and Seaborn.

Pandas DataFrames & Series NumPy Vectorized Calculations Missing Data & Outlier Imputation Matplotlib & Seaborn Charts
Core Technologies:
Python Python
Pandas Pandas
NumPy NumPy
Stage 3 Output: Exploratory Data Analysis on 100K+ Rows
EDA Verified
Stage 3 Python EDA Pipeline
Stage 4 Output: Enterprise Operations & Revenue KPI Dashboard
Power BI Ready
Stage 4 Power BI Modeling Pipeline
04

Power BI, DAX & Interactive Dashboards

• WEEKS 12–14 — BUSINESS INTELLIGENCE MILESTONE

Design star schemas, write robust DAX calculated columns and measures, and build interactive drill-through reports published to Power BI Cloud Service.

Star Schema & Data Relationships DAX Measures & Time Intelligence Drill-Through Reports & Slicers Power BI Service Publishing
Core Technologies:
Power BI Power BI
DAX DAX
Data Modeling Star Schema
05

Tableau & Executive Data Storytelling

• WEEKS 15–16 — EXECUTIVE VISUALIZATION CAPSTONE

Deliver complete, multi-page analytical capstones in Tableau with geographical heatmaps, executive storytelling dashboards, and verified GitHub & portfolio presentation.

Tableau Visual Storyboards Geographical Mapping & Heatmaps Executive KPI Summaries Public Analytics Portfolio
Core Technologies:
Tableau Tableau
Power BI Power BI
Python Python
Portfolio Portfolio
Stage 5 Output: Multi-Channel Customer Churn & LTV Dashboard
Live Capstone
Stage 5 Tableau Analytics Capstone
Free 1-on-1 Roadmap Consultation

Ready to Master All 5 Data Stages?

Schedule a personalized counselling session at our M.P. Nagar campus. We'll map your current analytical background directly to this data analytics syllabus.

How You'll Learn

A transparent, practical learning journey designed to replace passive theory with hands-on business intelligence and data analytics capabilities.

01
STEP 01 — FOUNDATION

Classroom Learning

Concept-first sessions in smart classrooms where instructors explain relational schema design, statistical indicators, and executive stakeholder requirements.

  • ✓ Database Schema Architecture
  • ✓ Live Query Demonstrations
  • ✓ Focused Small Cohorts
02
STEP 02 — WORKSTATION LAB

Practical Lab Sessions

Step directly into our dedicated workstation lab in M.P. Nagar. Write complex SQL joins, build Power BI reports, and execute Pandas wrangling on your own assigned PC.

  • ✓ Dedicated Lab Workstations
  • ✓ Daily Hands-on Implementation
  • ✓ Enterprise BI Tools Installed
03
STEP 03 — PRODUCTION PORTFOLIO

Guided Capstones

Build end-to-end analytics dashboards solving practical corporate challenges. Apply star schemas, custom DAX measures, and interactive filters to real company datasets.

  • ✓ Real-World Business Statements
  • ✓ Power BI & Tableau Publishing
  • ✓ GitHub & Kaggle Portfolio Showcase
04
STEP 04 — 1-ON-1 GUIDANCE

Trainer Support

Never stay stuck on a complex SQL query or DAX formula syntax error. On-floor senior data mentors sit with you 1-on-1 to review your code and guide your analytical reasoning.

  • ✓ Daily 1-on-1 Mentor Desk
  • ✓ Live Query & DAX Debugging
  • ✓ Visual Dashboard Quality Reviews

Build With Real Business Datasets

Proof of practical competence. Clean, model, and publish real data analytics dashboards on your live portfolio.

E-Commerce Sales Analytics Project at Miracle IT
Live BI Dashboard Power BI + SQL

MarketPulse — E-Commerce Sales & Profitability Dashboard

Comprehensive sales performance tracking, region-wise profit margins, return rate analysis, and customer cohort repeat-purchase rates across 500K+ transaction records.

What the learner practices:

Star schema database modeling, complex DAX measures (YTD, MTD, YoY growth), multi-table SQL queries, and interactive drill-down slicers.

Power BI SQL DAX Power Query Excel
Financial Risk Analysis in Bhopal Lab
Python Analytics Capstone Python + EDA

FinTrack — Bank Loan Default & Credit Risk Analysis

Financial risk evaluation notebook identifying customer delinquency probability, debt-to-income ratio correlations, and demographic trends across commercial lending portfolios.

What the learner practices:

Data cleansing with Pandas, statistical outlier filtering, correlation matrix heatmaps, and Matplotlib executive distribution charts.

Python Pandas NumPy Seaborn Matplotlib
Healthcare Analytics Dashboard at Miracle IT
Executive Storyboard Tableau + SQL

HealthScope — Hospital Operations & Bed Allocation Tracker

Healthcare operations dashboard monitoring patient admission wait times, ER department throughput, ICU bed occupancy, and physician resource allocation.

What the learner practices:

Geographic maps, interactive dashboard actions, calculated fields, parameter controls, and executive data storytelling.

Tableau SQL Excel Data Storytelling Git / Portfolio
Discuss Projects

Career Support

Comprehensive preparation and guidance to help you transition from practical learner to industry-ready data analytics professional.

Career Guidance & Counselling

Personalized skill audits and milestone roadmapping tailored to your specific strengths, timeline, and data career objectives.

1-on-1 Mentorship Desks

Resume & Dashboard Portfolio Support

Assistance in structuring an employer-ready analytics resume, showcasing your SQL query problem sets, Power BI links, and Tableau dashboards.

Portfolio Formatting

Interview Preparation

Master standard data analyst interview challenges, live whiteboard SQL query tests, DAX calculation scenarios, and business case studies.

SQL Case Study Banks

Internship Support

Guidance on finding verified data analytics internships, project internships, and business analyst trainee roles across regional and remote IT companies.

Internship Roadmap

Placement Support

Connecting verified students with scheduled hiring drives, off-campus recruitment opportunities, and corporate referrals upon track completion.

Hiring Drive Alerts

Mock Technical Rounds

Simulated technical interviews conducted by senior data practitioners to evaluate your analytical problem-solving with constructive feedback.

Detailed Feedback Reports
Honest Academic Policy: We provide structured internship support, placement assistance, resume reviews, and technical mock interviews. We uphold complete transparency and do not make unsubstantiated claims regarding guaranteed jobs, guaranteed placements, or guaranteed salaries.
Talk To Counsellor

Course Details

Verified course specifications, batch flexibility, and transparent fee policies. No ambiguous promises.

Duration
3 - 5 Months

3 Months: Fast-Track Intensive (Excel, SQL & Power BI core).
5 Months: Comprehensive Track including Python EDA, advanced DAX modeling, and Tableau storyboards.

Eligibility
Open to All Streams

B.Tech, BCA, MCA, B.Com, BBA, B.Sc (Maths/Stats), Economics, or any graduate aiming for analytical roles. No prior coding experience is mandatory.

Batch Mode & Timings
In-Person & Flexible

Mode: In-person workstation lab training in M.P. Nagar.
Slots: Morning, Afternoon, Evening, and Weekend Special Batches for college students and working professionals.

Fees
Affordable & EMI

Transparent fee structure with easy monthly installment (EMI) options. Inclusive of all workstation lab access, course datasets, and placement evaluation. Zero hidden charges.

Want exact fee details and available scholarship concessions?

We believe in 100% upfront honesty. Visit our M.P. Nagar center to inspect the syllabus, speak directly with analytics faculty, and receive a transparent, printed fee roadmap.

Schedule Free Fee & Syllabus Audit

Student Experience

Real results and verified reviews from students trained in our Bhopal workstation labs.

Astik Sarathe placed at Infosys Astik Sarathe Infosys
Akshat placed at Accenture Akshat Accenture
Anuj Kumar Kaushal placed at TCS Anuj Kaushal TCS
Siddhant placed at Infosys Siddhant Infosys
Namit Shirode placed at Uline USA Namit Shirode Uline (USA)
Mohit placed at Dot9 Games Mohit Dot9 Games

"Coming from a commerce background, I was initially nervous about learning SQL and Python. The mentors at Miracle IT made the transition seamless. We practiced on real sales datasets daily in the lab."

Ankita

Ankita

Data Analyst Trainee • Miracle IT Bhopal

"The Power BI and DAX modeling sessions were outstanding. Instead of just showing standard charts, we learned how to design executive dashboards with star schemas that solve actual business problems."

Vinod

Vinod

BI Specialist • Miracle IT Graduate

"The daily 1-on-1 mentor guidance helped me master multi-table SQL queries, window functions, and Tableau storytelling. The practical lab exposure gives you genuine confidence for company interviews."

Nilu

Nilu

Analytics Graduate • Miracle IT

"It is the best place in Bhopal to learn data tools practically. Having a dedicated computer in the M.P. Nagar lab to execute SQL queries and build reports makes all the difference."

Mohit

Mohit

IT Professional • Miracle IT Alumnus
See Student Experience

Frequently
Asked Questions

Straightforward answers about our Data Analytics course, practical workstation lab, non-tech eligibility, and free 1-on-1 career counselling in M.P. Nagar, Bhopal.

Have a different question?

Talk to a Counsellor

Yes, absolutely! Data analytics relies on business acumen, curiosity, and structured thinking rather than deep coding. Commerce (B.Com, BBA), Economics, and Arts graduates frequently excel in Business Analyst and Reporting Specialist roles because of their financial and operational instincts. Our curriculum begins from zero with structured Excel and SQL logic.

You will follow a structured 5-stage progression: Advanced Excel & Power Query ETL, Relational SQL (PostgreSQL & MySQL joins, subqueries, and window functions), Python for EDA (Pandas, NumPy, Matplotlib, Seaborn), Power BI (DAX modeling, star schema, cloud service), and Tableau interactive data storytelling.

Yes. 100% of the training includes daily workstation lab sessions in our dedicated M.P. Nagar center. You get your own workstation to query relational databases, build live Power BI and Tableau dashboards, and publish completed business capstones to your public portfolio.

Graduates are prepared for high-demand roles such as Data Analyst, Business Intelligence (BI) Analyst, SQL Developer, Junior Data Scientist, Business Analyst, MIS Executive, and Operations Reporting Analyst across IT companies, banks, retail corporations, and consulting firms.

The course duration is 3 to 5 months depending on whether you choose the fast-track intensive or comprehensive master track. We offer flexible morning, afternoon, evening, and weekend batches to accommodate college students, working professionals, and job seekers.

Absolutely. We strongly recommend scheduling a free in-person career counselling visit. You can tour our smart classrooms, inspect our dedicated workstation labs, meet senior analytics mentors, and review past student dashboards before making any decision.

Visit Us in M.P. Nagar, Bhopal

Centrally located in Zone-II, M.P. Nagar — Bhopal's primary educational hub. Accessible from all major transit links.

📍 Zone-2, M.P. Nagar Hub 🚆 5 Min from Rani Kamlapati (RKMP) 🚌 2 Min from Chetak Bridge / Sargam 🅿️ Dedicated Student Parking
In-Person Training Center
Visiting Desk Open Today

Miracle IT Career Academy

Campus Address:

Plot No.80, 3rd Floor, Aakriti Complex, Zone-2, M.P.Nagar, Bhopal, M.P.

Key Landmarks & Proximity:

Near Sargam Cinema & Chetak Bridge • Aakriti Complex Zone-2

Counselling & Visiting Hours:

Monday to Saturday: 10:00 AM – 7:00 PM (Sunday by appointment)

M.P. Nagar Zone-II Coaching Hub

Zone-II, M.P. Nagar, Bhopal • Plot No.80, 3rd Floor, Aakriti Complex (Near Chetak Bridge & Sargam Cinema)

Book Free Career Counselling Visit

Visit our M.P. Nagar center. Meet senior data mentors, review the analytics syllabus line-by-line, and get an honest, non-binding assessment of your learning timeline.

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