Radical Technologies
Combo Program
β˜…β˜…β˜…β˜…β˜…
(2,088 ratings)  50,000+ Student

DATA ANALYTICS COMBO Training in Pune

Data Analytics combo typically refers to the strategic combination of various data analytics tools, techniques, and technologies to derive valuable insights and make informed decisions from data. Data analytics involves the systematic analysis of data to uncover patterns, trends, and actionable insights.A Data Analytics combo involves using the appropriate combination of these methods and tools to extract valuable insights from data, whether it’s for business intelligence, marketing analysis, scientific research, or any other domain

RT
Radical Technologies
50,000+ English 62 Modules · 2 Sections
Online / Classroom

DATA ANALYTICS COMBO

DATA ANALYTICS COMBO + Capstone Projects (very Important)

Sections Included 2 Sections (DATA ANALYTICS COMBO + Capstone Projects (very Important))
Batch Type Weekdays / Weekends
Mode of Training Classroom / Online / Corporate
Locations Pune, Bangalore, Kochi
Language English
Certification Globally Recognized

Tools you'll master

Power BI Data Analysis Excel SQL Python Pandas Data Visualization Business Intelligence NumPy Machine Learning

Next batch: Contact us Β·

Call Now

100% placement assistance

Enquire Now

Get course fees, batch dates & a callback

We never share your details.

What you'll learn

DATA ANALYTICS COMBO PROGRAM (0 β†’ JOB READY)
DATA ANALYTICS FOUNDATION
Project 1 – Sales Analytics Dashboard
Project 2 – Financial Analytics Dashboard

Programme Overview

62 modules across DATA ANALYTICS COMBO, Capstone Projects (very Important) β€” a single, progressive learning arc from foundational concepts to real-world projects.

2
Programme Sections
62
Total Modules
596
Total Topics
4.8β˜…
Average Rating
50K+
Students Trained
01

DATA ANALYTICS COMBO

Master the core concepts and hands-on skills of DATA ANALYTICS COMBO β€” from fundamentals to real-world application.

Data Analysis Excel SQL
02

Capstone Projects (very Important)

Master the core concepts and hands-on skills of Capstone Projects (very Important) β€” from fundamentals to real-world application.

Power BI Business Intelligence GitHub

Who is this programme for?

Whether you're starting from scratch, know some SQL, or are already writing code β€” this programme takes you from database fundamentals through Python programming to real-world data analysis.

Students & Freshers

Build a strong foundation in DATA ANALYTICS COMBO and gain practical, job-ready experience from day one.

Working Professionals

Upskill and combine complementary skills from multiple courses in one structured programme.

Career Switchers

Move into a new technical role with a single, structured path covering everything you need.

IT Professionals

Deepen your expertise and broaden your skill set with hands-on, practical training.

Course Curriculum

2 sections  β€’  62 modules  β€’  596 topics

⏱ Duration: 60 to 80 Hours
🎯 Outcome: Job-ready Data Analyst / BI Analyst
ROADMAP (Learning Journey)
FOUNDATION
   ↓
Excel Basics β†’ Advanced Excel β†’ Dashboards
   ↓
SQL Basics β†’ Joins β†’ Advanced SQL β†’ Real Queries
   ↓
Python Basics β†’ Pandas β†’ EDA β†’ Visualization
   ↓
Power BI Basics β†’ Data Modeling β†’ DAX β†’ Dashboards
   ↓
END-TO-END PROJECTS
   ↓
JOB PREPARATION (Resume + Interview + Case Studies)
⏱ Duration: 6–10 Hours
🎯 Outcome: Strong conceptual understanding of Data Analytics
ROADMAP (Learning Journey)
What is Data?
   ↓
Types of Data
   ↓
Data Analytics Concepts
   ↓
Data Lifecycle
   ↓
Business Understanding
   ↓
Basic Statistics
   ↓
Tools Overview
   ↓
Case Studies & Problem Solving
Topics
What is Data?
Types of Data:
Structured
Unstructured
Semi-structured
What is Data Analytics
Importance of data in business

Hands-On Practice

  • Hands-on: Identify types of data used in:
  • Hands-on: Banking
  • Hands-on: Retail
  • Hands-on: Healthcare
Topics
Descriptive Analytics (What happened?)
Diagnostic Analytics (Why it happened?)
Predictive Analytics (What will happen?)Prescriptive Analytics (What should be done?)

Hands-On Practice

  • Hands-on: Analyze why sales dropped in a company
Topics
Data Collection
Data Cleaning
Data Processing
Data Analysis
Data Visualization
Decision Making

Hands-On Practice

  • Hands-on: Map lifecycle for a real-world example
Topics
Business problems vs technical problems
Performance Indicators)
Metrics:
Revenue
Profit
Customer retention

Hands-On Practice

  • Hands-on: Define KPIs for a retail company
Topics
Mean, Median, Mode
Variance & Standard Deviation
Correlation
Distribution basics
πŸ§ͺ Lab
Calculate statistics using sample data

Hands-On Practice

  • Hands-on: Analyze dataset using statistical measures
Topics
Breaking business problems
Logical thinking
Data-driven decision making
πŸ’ΌΒ Job Scenario
Identify reasons for customer churn
Topics
Excel (data cleaning & reporting)
SQL (data extraction)
Python (data analysis)
Power BI (visualization)πŸ‘‰Β No deep learning hereβ€”just awareness
Mini Project – Sales Data Analysis (Conceptual)
Tasks
Identify trends
Define KPIs
Suggest business improvements
Why sales decreased last quarter?
Which product generates highest revenue?
Why customers are leaving?
Which region performs best?
Identify data types
Define KPIs
Solve business case
Perform basic statistical analysis
⏱ Duration: 15–20 Hours
🎯 Outcome: Data Analyst / Reporting Analyst
🧭 πŸ“Œ ROADMAP
Excel Basics
   ↓
Data Cleaning & Formatting
   ↓
Functions & Formulas
   ↓
Lookup & Data Analysis
   ↓
Pivot Tables & Charts
   ↓
Power Query (ETL)
   ↓
Dashboards & Automation
   ↓
Projects + Job Scenarios
Topics
Excel interface & shortcuts
Data types & formatting
Sorting & filtering
πŸ§ͺ Lab
Format raw dataset

Hands-On Practice

  • Hands-on: Clean and organize data
Topics
Remove duplicates
Text to Columns
Flash Fill
Data validation
Handling missing data
πŸ§ͺ Lab
Clean messy dataset

Hands-On Practice

  • Hands-on: Prepare dataset for analysis
  • Hands-on: Clean customer data received from CRM
Logical Functions
IF, nested IF
AND, OR
Lookup Functions
VLOOKUP, HLOOKUP
INDEX + MATCH (very important)
XLOOKUP
Text Functions
LEFT, RIGHT, MID
CONCAT, LEN
Date Functions
TODAY, NOW
DATEDIF
Statistical Functions
COUNT, COUNTA
SUMIF, COUNTIF
πŸ§ͺ Lab
Apply formulas on datasets

Hands-On Practice

  • Hands-on: Build formula-based report
  • Hands-on: πŸ’ΌΒ Job Scenario
  • Hands-on: Generate KPI report using formulas
Topics
Conditional formatting
Data analysis techniques
What-if analysis
Goal Seek & Scenario Manager
πŸ§ͺ Lab
Highlight trends

Hands-On Practice

  • Hands-on: Analyze sales performance
Topics
Create pivot tables
Grouping & filtering
Calculated fields
Pivot charts
πŸ§ͺ Lab
Build pivot reports

Hands-On Practice

  • Hands-on: Sales summary using pivot tables
  • Hands-on: Generate monthly business report
Topics
Import data from multiple sources
Data transformation
Merge & append queries
πŸ§ͺ Lab
Combine multiple datasets
πŸ“ŒΒ Assignment
Create ETL workflow in Excel
Topics
KPI dashboards
Slicers & timelines
Charts (bar, line, pie)
Interactive dashboards
πŸ§ͺ Lab
Build dashboard

Hands-On Practice

  • Hands-on: Create executive dashboard
  • Hands-on: πŸ’ΌΒ Job Scenario
  • Hands-on: Design dashboard for management
Project 1 – Sales Dashboard
Features
Revenue trends
Region-wise analysis
KPI tracking
Project 2 – Customer Data Analysis
Features
Customer segmentation
Purchase trends
Project 3 – Financial Reporting System
Features
Profit & loss analysis
Expense tracking

Hands-On Practice

  • Hands-on: Clean messy data from Excel sheets
  • Hands-on: Generate reports using formulas
  • Hands-on: Create dashboards for management
  • Hands-on: Analyze sales and revenue trends
  • Hands-on: Automate repetitive tasks
  • Hands-on: Data cleaning assignment
  • Hands-on: Formula-based reporting
  • Hands-on: Pivot table analysis
  • Hands-on: Dashboard creation
  • Hands-on: Case study (Retail / Finance)
Important Topics
VLOOKUP vs INDEX MATCH
Pivot tables
Conditional formatting
Data cleaning techniques
⏱ Duration: 15 Hours🎯 Outcome: Job-ready SQL Data Analyst
🧭 πŸ“Œ LEARNING ROADMAP
SQL Basics
   ↓
Filtering & Sorting
   ↓
Joins & Relationships
   ↓
Aggregation & Grouping
   ↓
Subqueries
   ↓
Advanced SQL (Window Functions, CTE)
   ↓
Real-Time Data Analysis
   ↓
Projects & Case Studies
Topics
What is Database & RDBMS Tables, Rows, Columns Primary Key, Foreign Key Introduction to SQL
Commands
SELECT
DISTINCT
Lab
Retrieve data from sample tables

Hands-On Practice

  • Hands-on: Display all records from customer table
Topics
WHERE clause
AND, OR, NOT
BETWEEN, IN, LIKE
ORDER BY
πŸ§ͺ Lab
Filter customer and sales data

Hands-On Practice

  • Hands-on: Find customers from specific city
  • Hands-on: Extract region-based sales data
Topics
INNER JOIN
LEFT JOIN
RIGHT JOIN
FULL JOIN
Self Join
πŸ§ͺ Lab
Combine multiple tablesπŸ“ŒΒ Assignment
Join customer and order tables

Hands-On Practice

  • Hands-on: Analyze customer purchase behavior
Topics
COUNT, SUM, AVG, MIN, MAX
GROUP BY
HAVING
πŸ§ͺ Lab
Generate summary reportsπŸ“ŒΒ Assignment
Total sales by region

Hands-On Practice

  • Hands-on: Identify top-performing products
Topics
Subqueries (Single-row, Multi-row)
Correlated subqueries
πŸ§ͺ Lab
Write nested queries

Hands-On Practice

  • Hands-on: Find customers with highest orders
Topics
Window Functions:
RANK()
DENSE_RANK()
ROW_NUMBER()
CTE (Common Table Expressions)
CASE Statements
Views
πŸ§ͺ Lab
Ranking and analytics queries

Hands-On Practice

  • Hands-on: Top 5 customers by revenue
  • Hands-on: Sales trend and ranking analysis
Topics
Writing business queries
Data extraction for dashboards
KPI calculations

Hands-On Practice

  • Hands-on: Customer churn analysis
  • Hands-on: Sales trend analysis
  • Hands-on: Revenue forecasting
Project 1 – Sales Data Analysis
Tasks
Total revenue
Top products
Monthly trends
Project 2 – Customer Insights
Tasks
Top customers
Customer segmentation
Purchase patterns
Project 3 – Retail Business Case Study
Tasks
Inventory analysis
Profitability analysis
Region-wise sales
Write 20 SQL queries for business scenarios
Create joins across 3 tables
Perform aggregation analysis
Solve real-time case studies
Find top 10 customers by revenue
Identify low-performing products
Analyze monthly sales growth
Detect duplicate records
Generate management reports
⏱ Duration: 15 – 20 Hours
🎯 Outcome: Data Analyst / Junior Data Scientist
🧭 πŸ“Œ LEARNING ROADMAP
Β 
Python Basics
   ↓
Data Structures
   ↓
NumPy (Numerical Analysis)
   ↓
Pandas (Data Analysis)
   ↓
Data Cleaning & Transformation
   ↓
EDA (Exploratory Data Analysis)
   ↓
Data Visualization
   ↓
Real-Time Case Studies
   ↓
Capstone Projects + Interview Prep
Topics
Introduction to Python
Installation & Setup (Jupyter Notebook)
Variables & Data Types
Operators
Control Statements (if, loops) Functions
πŸ§ͺ Lab
Write basic programs

Hands-On Practice

  • Hands-on: Create a simple calculator
  • Hands-on: Find even/odd numbers
  • Hands-on: πŸ’ΌΒ Job Scenario
  • Hands-on: Automate small data processing tasks
Topics
Lists
Tuples
Sets
Dictionaries
πŸ§ͺ Lab
Work with collections

Hands-On Practice

  • Hands-on: Store and manipulate customer data
Topics
Arrays
Array operations
Mathematical functions
πŸ§ͺ Lab
Perform numerical operations

Hands-On Practice

  • Hands-on: Analyze numerical dataset
Topics
Series & DataFrames
Reading data (CSV, Excel)
Data selection & filtering
Data cleaning:
Handling null values
Removing duplicates
Data transformation
πŸ§ͺΒ Labs
Load and clean datasets

Hands-On Practice

  • Hands-on: Clean messy sales dataset
  • Hands-on: Prepare raw business data for reporting
Topics
Descriptive statistics
Grouping & aggregation
Correlation analysis
Feature engineering basics
πŸ§ͺ Lab
Perform EDA

Hands-On Practice

  • Hands-on: Analyze customer data
  • Hands-on: Identify trends in sales/customer data
Tools
Matplotlib
Seaborn
Topics
Bar charts, line charts
Histograms
Heatmaps
πŸ§ͺ Lab
Create visualizations

Hands-On Practice

  • Hands-on: Visualize business KPIs
  • Hands-on: Present insights to stakeholders
Topics
Working with APIs
Basic automation scripts
Intro to machine learning (optional)
πŸ§ͺ Lab
Fetch data from API
Topics
Data extraction
Data cleaning
Data analysis
Visualization
Project 1 – Sales Data Analysis
Features
Revenue trends
Product performance
Monthly analysis
πŸ‘‰Β Tools: Pandas + Visualization
Project 2 – Customer Segmentation Analysis
Features
Customer grouping
Purchase patterns
Insights generatio
πŸ‘‰Β Tools: Pandas + EDA
Project 3 – Retail Data Analytics System
Features
Data cleaning
Analysis
Visualization
πŸ‘‰Β Tools: Python End-to-End
Project 4 – Real-Time Business Case Study
Features
KPI analysis
Business insights
Decision-making
Clean messy datasets
Analyze sales trends
Identify top customers
Automate reports using Python
Perform customer segmentation
Generate business insights
Python basics problems
Pandas data cleaning tasks
EDA assignment
Visualization assignment
Case study analysis
⏱ Duration: 30 Hours🎯 Outcome: Power BI Developer / Data Analyst
🧭 πŸ“Œ LEARNING ROADMAP
Power BI Basics
   ↓
Data Loading (Excel/SQL)
   ↓
Power Query (Data Cleaning)
   ↓
Data Modeling (Relationships)
   ↓
DAX (Basic β†’ Advanced)
   ↓
Visualization & Dashboarding
   ↓
Advanced Features (RLS, Optimization)
   ↓
Deployment (Power BI Service)
   ↓
Capstone Projects + Interview Prep
Topics
BI Concepts & Importance
Power BI Ecosystem:
Desktop
Service
Mobile
Installation & Interface Overview
πŸ§ͺ Lab
Install Power BI & explore UI

Hands-On Practice

  • Hands-on: Identify 5 business dashboards used in industry
Data Sources
Excel, CSV, SQL Server, Web
Data Cleaning
Remove duplicates
Handle missing values
Change data types
Data Transformation
Merge queries
Append queries
Pivot / Unpivot
πŸ§ͺ LABS
Clean messy dataset
Combine multiple files

Hands-On Practice

  • Hands-on: Prepare cleaned dataset for reporting
  • Hands-on: Combine sales data from multiple branches
Topics
Relationships (1:M, M:M)
Star Schema (very important for interviews)
Fact vs Dimension tables
Cardinality & cross-filter direction
πŸ§ͺ LAB
Create star schema model
πŸ“ŒΒ ASSIGNMENT
Design data model for retail business

Hands-On Practice

  • Hands-on: Build enterprise-level reporting model
  • Hands-on: Β 
Basics
Calculated Columns vs Measures
SUM, COUNT, AVERAGE
Intermediate
IF, SWITCH
FILTER, CALCULATE
Advanced (Very Important)
Time Intelligence:
YTD, MTD, YoY
ALL, ALLEXCEPT
Context (Row vs Filter Context)
πŸ§ͺ LABS
Create KPIs
Build dynamic calculations

Hands-On Practice

  • Hands-on: Revenue growth & comparison metrics
  • Hands-on: Create business KPIs for management dashboards
Topics
Charts:
Bar, Line, Area
Table, Matrix
KPI Cards
Slicers & Filters
Drill-down / Drill-through
Tooltip & bookmarks
πŸ§ͺ LABS
Build interactive dashboard

Hands-On Practice

  • Hands-on: Create executive dashboard
  • Hands-on: Design dashboard for CXO-level reporting
  • Hands-on: Β 
Topics
Row-Level Security (RLS)
Performance optimization
Query reduction techniques
Custom visuals
πŸ§ͺ LAB
Implement RLS
πŸ“ŒΒ ASSIGNMENT
Optimize slow dashboard
Topics
Publishing reports
Workspace management
Dashboard sharing
Scheduled refresh
πŸ§ͺ LAB
Publish report & share
Topics
SQL β†’ Data extraction
Power Query β†’ Cleaning
Power BI β†’ Visualization
Storytelling

Tools & Technologies

Every tool and library listed here is installed, configured and used in a hands-on lab session.

DATA ANALYTICS COMBO

Data Analysis

Covered in DATA ANALYTICS COMBO

Excel

Covered in DATA ANALYTICS COMBO

SQL

Covered in DATA ANALYTICS COMBO

Power BI

Covered in DATA ANALYTICS COMBO

Capstone Projects (very Important)

Power BI

Covered in Capstone Projects (very Important)

Business Intelligence

Covered in Capstone Projects (very Important)

GitHub

Covered in Capstone Projects (very Important)

Excel

Covered in Capstone Projects (very Important)

10+
Tools & Libraries
596+
Hands-On Topics
62
Total Modules
2
Programme Sections

You don't just learn DATA ANALYTICS COMBO. You apply it.

A combined capstone project across all 2 sections β€” the same way you'd apply these skills on the job.

PROJECT // 01

DATA ANALYTICS COMBO Capstone Project

β†’DATA ANALYTICS COMBO

β†’Capstone Projects (very Important)

Capstone Project Combined

Apply everything you learn across DATA ANALYTICS COMBO, Capstone Projects (very Important) to one real-world project

Bring together every course in this programme into a single, end-to-end project β€” the same way you would apply these combined skills on the job.

A working project combining all course modules
Added directly to your project portfolio
Reviewed by mentors before you graduate
Stack Power BI Data Analysis Excel SQL Python Pandas Data Visualization Business Intelligence NumPy Machine Learning

Hands-on Practice Areas

Hands-on Practice: DATA ANALYTICS COMBO Hands-on Practice: Capstone Projects (very Important)

All projects go directly into your portfolio & resume β€” reviewed by mentors before you graduate.

See Sample Project Reports

Upcoming Batches

No upcoming batches scheduled right now. Enquire to get notified.

Why Radical Technologies

Live Online Training
  • Highly practical oriented training
  • Installation support on your system
  • 24/7 Email and Phone support
  • 100% Placement Assistance
  • Global Certification Preparation
  • Trainer-Student Interactive Portal
  • Assignments and Projects by Mentors
Live Classroom Training
  • Weekend / Weekdays / Morning / Evening batches
  • 80:20 Practical and Theory ratio
  • Real-life Case Studies
  • Easy make-up for missed sessions
  • PSI | Kryterion | Redhat Test Centers
  • Lifetime Video Classroom Access (coming soon)
  • Resume Prep and Mock Interviews
Self-Paced Training
  • Learn 300+ courses at your own time
  • 50,000+ Satisfied Learners
  • Course Completion Certificate
  • Practical Labs available
  • Mentor Support available
  • Doubt Clearing Session available
  • 10% Discounted Global Certification

Like the Curriculum? Let's Get Started

Join 50,000+ students already enrolled at Radical Technologies

Enroll Now

Global Certification

Radical Technologies is the leading IT certification institute in Pune, offering globally recognized certifications across various domains. With expert trainers and comprehensive materials, we ensure students gain in-depth knowledge and hands-on experience to excel in their careers. Our certification programs are tailored to meet industry standards β€” from cloud technologies to data science β€” empowering individuals to stay ahead in the ever-evolving tech landscape.

Certificate of Completion

Career Services

At Radical Technologies, we are committed to your success beyond the classroom. Our 100% Job Assistance program ensures that you are not only equipped with industry-relevant skills but also guided through the job placement process. With personalised resume building, interview preparation, and access to our extensive network of hiring partners, we help you take the next step confidently into your IT career.

Career Support

Course Completed? Need next steps?
Need Interview Supports?
Need Job Assistance?
Came from any other Institute?

Join our Brush-up Session & get support until you find a job!

Get Started

Radical Learning Eco-System

Exam Simulator

Cloud SandBox

Hands-on Cloud Lab

Developer Coding Ground

Student Reviews

4.8β˜…
Average learner rating
50K+
Students trained
30+
Hiring companies alumni work at
100%
Placement assistance
4.8
β˜…β˜…β˜…β˜…β˜…

Course Rating

β˜…β˜…β˜…β˜…β˜…
85%
β˜…β˜…β˜…β˜…β˜†
12%
β˜…β˜…β˜…β˜†β˜†
2%
β˜…β˜…β˜†β˜†β˜†
1%
β˜…β˜†β˜†β˜†β˜†
0%

Our Alumni Work At

Accenture
Amazon
Avisys Services
Birlasoft
Capgemini
Catchpoint
Cognizant
Darwish Cybertech
DataVision
GiBots
Google
Groots Software
HCL Technologies
IBM
Info Gain
Infosys
ITCube Solutions
KPIT
L&T Infotech
Microsoft
Mphasis
mPhatek
Oracle
Quantbit Technologies
Saina Cloud
TCS
Tech Mahindra
Wipro
YASH Technologies
Zensar Technologies
Accenture
Amazon
Avisys Services
Birlasoft
Capgemini
Catchpoint
Cognizant
Darwish Cybertech
DataVision
GiBots
Google
Groots Software
HCL Technologies
IBM
Info Gain
Infosys
ITCube Solutions
KPIT
L&T Infotech
Microsoft
Mphasis
mPhatek
Oracle
Quantbit Technologies
Saina Cloud
TCS
Tech Mahindra
Wipro
YASH Technologies
Zensar Technologies

Get a Call Back from Our Career Assistance Team

Request Callback