Industry-Aligned Curriculum
Gain practical mastery of Data Analytics concepts matching modern production standards.
Data & AI
Data Analytics
Turn Raw Data into Meaningful Business Insights
Learn how to collect, clean, analyze, visualize, and interpret data to uncover trends, identify patterns, and support data-driven decision-making.
Develop practical analytics skills using Excel, SQL, Python, Pandas, and data visualization tools while working with real-world datasets and business scenarios.
ConsivoX Certified
16 Modules • Live Mentorship
Course Highlights
Duration
16 – 32 Hours
Learning Tracks
Foundation • Professional • Advanced
Level
Beginner to Advanced
Curriculum Scope
16 Modules • Live Mentorship
Practical Focus
Hands-On Case Studies & Labs
Hands-On
Live & Capstone Development
Outcome
Real-World Production Projects
Credential
Certificate of Completion
Core Outcomes
Key CompetenciesWhat You'll Learn
Data Analytics fundamentals
Data analysis workflow
Microsoft Excel for analytics
Data cleaning and preparation
SQL fundamentals
SQL filtering and aggregation
Why Learn Data Analytics?
Organizations generate large amounts of data every day. Data Analytics helps transform that raw information into useful insights that support business and operational decisions.
Hands-On Project Building
Develop production-grade applications and case studies directly for your professional portfolio.
Career & Interview Readiness
Acquire the technical confidence and problem-solving skills required for high-impact roles.
FLEXIBLE FORMATS
Data Analytics — Modes of Learning
Choose the learning mode that fits your schedule, lifestyle, and career goals with hands-on practice built in.
16 Hours
Foundation
₹5,500 • 16 Hours
Master essential foundations with live instructor-led sessions, 6-month LMS access, and core learning materials.
16+ Hours of Live Instructor-Led Sessions
LMS Access for 6 Months
Course Materials & Learning Resources
Most Popular
Professional
₹7,500 • 24 Hours
Elevate your practical skills with 1:1 doubt clearing sessions, dedicated mentor support, and extended lab work.
24+ Hours of Live Instructor-Led Sessions
One-on-One Doubt Clearing Sessions
LMS Access for 6 Months
Dedicated Mentor Support
Career Track
Advanced
₹9,000 • 32 Hours
Comprehensive career masterclass featuring extensive live sessions, 1:1 mentor syncs, interview prep, and placement guidance.
32+ Hours of Live Instructor-Led Sessions
One-on-One Doubt Clearing Sessions
LMS Access for 6 Months
Dedicated Mentor Support
Placement Guidance
Interview Assistance
STRUCTURED ROADMAP
Data Analytics Curriculum
Step-by-step learning progression designed for practical mastery, from fundamentals to production-ready deployment.
16 Modules16+ Hours Live & Hands-On
Key Concepts Covered:
- What is Data Analytics?
- Data Analytics vs Data Science
- Types of Data
- Data Analytics Lifecycle
- Real-World Applications of Data Analytics
Key Concepts Covered:
- Excel Data Organization
- Formulas and Functions
- Sorting and Filtering
- Conditional Formatting
- Basic Data Analysis with Excel
Key Concepts Covered:
- Understanding Data Quality
- Handling Missing Values
- Removing Duplicates
- Data Formatting and Transformation
- Preparing Data for Analysis
Key Concepts Covered:
- Lookup Functions
- IF and Logical Functions
- Aggregation Functions
- Pivot Tables
- Pivot Charts
Key Concepts Covered:
- Introduction to SQL
- Databases and Tables
- SELECT Statements
- WHERE Conditions
- ORDER BY and LIMIT
Key Concepts Covered:
- COUNT, SUM and AVG
- MIN and MAX
- GROUP BY
- HAVING
- Analytical SQL Queries
Key Concepts Covered:
- Understanding Table Relationships
- INNER JOIN
- LEFT JOIN
- Subqueries
- Combining Multiple Tables
Key Concepts Covered:
- Python Fundamentals for Analytics
- Variables and Data Types
- Lists and Dictionaries
- Conditions and Loops
- Functions and Basic Data Processing
Key Concepts Covered:
- NumPy Arrays
- Pandas Series and DataFrames
- Loading Datasets
- Selecting and Filtering Data
- DataFrame Operations
Key Concepts Covered:
- Understanding EDA
- Dataset Exploration
- Descriptive Analysis
- Identifying Patterns and Outliers
- Generating Analytical Insights
Key Concepts Covered:
- Mean, Median and Mode
- Range and Variance
- Standard Deviation
- Percentiles and Quartiles
- Interpreting Statistical Results
Key Concepts Covered:
- Data Visualization Fundamentals
- Bar and Column Charts
- Line Charts
- Histograms and Scatter Plots
- Choosing the Right Visualization
Key Concepts Covered:
- Dashboard Fundamentals
- KPIs and Business Metrics
- Dashboard Layout and Design
- Interactive Filters
- Building Basic Analytical Dashboards
Key Concepts Covered:
- Understanding Business Questions
- KPI Analysis
- Trend Analysis
- Comparative Analysis
- Converting Data into Business Insights
Key Concepts Covered:
- Problem Definition
- Dataset Collection and Preparation
- Data Cleaning and Analysis
- Visualization and Dashboard Development
- Business Insight Generation
- Practical Project
- Sales Performance Analytics Dashboard
- Analyze sales data to understand revenue, products, customers, regions, and business performance.
- Project Workflow
- Raw Data → Cleaning → SQL/Python Analysis → KPIs → Visualization → Dashboard → Business Insights
Key Concepts Covered:
- End-to-End Data Analytics Workflow
- Analytical Problem Solving
- Dashboard and Insight Presentation
- Data Analyst Interview Preparation
- Data Analytics Career Roadmap
- Final Activity
- Complete an end-to-end analytics case study involving data cleaning, SQL analysis, visualization, KPI analysis, dashboard creation, and presentation of business insights.
Everything You Need to Master Data Analytics
Comprehensive technical foundation, modern tooling, and production workflows packed into a focused, hands-on curriculum.
Data Analytics Fundamentals
Master core Data Analytics principles, scalable architectures, and practical techniques.
Excel Analytics
Understand the complete process of collecting, preparing, analyzing, visualizing, and communicating data.
SQL Practice
Use formulas, functions, filtering, Pivot Tables, and Pivot Charts for practical data analysis.
Python for Analytics
Write SQL queries to retrieve, filter, aggregate, join, and analyze relational data.
Data Cleaning
Use Python and Pandas to process and analyze datasets efficiently.
Exploratory Data Analysis
Learn how to handle missing values, duplicates, inconsistent formats, and common data-quality issues.
Real-World Projects You'll Build
Build production-grade applications that demonstrate your skills to engineering recruiters and hiring managers.
Capstone SpotlightData & AI Project
Sales Performance Analysis
Build
Key Features:
- Analyze sales data to understand revenue and business performance.
- Revenue analysis
- Product performance
- Regional performance
- Monthly trends
- Customer analysis
- KPI calculations
Data AnalyticsConsivoXPortfolio
Production ReadyProject 02Data & AI Project
Customer Analytics
Build
Key Features:
- Analyze customer data to understand customer behavior and purchasing patterns.
- Customer segmentation
- Purchase analysis
- Customer trends
- Repeat customer analysis
- Revenue contribution
- Business insights
Data AnalyticsConsivoXPortfolio
Production ReadyProject 03Data & AI Project
Employee Analytics
Build
Key Features:
- Analyze employee data to identify workforce trends and organizational patterns.
- Employee demographics
- Department analysis
- Salary analysis
- Attrition analysis
- Performance trends
- HR KPIs
Data AnalyticsConsivoXPortfolio
Production ReadyProject 04Data & AI Project
E-Commerce Analytics Dashboard
Build
Key Features:
- Create an analytical dashboard for an e-commerce business.
- Sales KPIs
- Product performance
- Customer analysis
- Order trends
- Revenue analysis
- Interactive dashboard
- FINAL PROJECT — Complete Data Analytics Challenge
- Complete an end-to-end business analytics project using:
- Data Collection → Data Cleaning → SQL Analysis → Python/Excel Analysis → KPI Calculation → Visualization → Dashboard → Business Insights → Presentation
- The final project can serve as a practical demonstration of the learner's Data Analytics capabilities.
Data AnalyticsConsivoXPortfolio
Production ReadyOFFICIAL CREDENTIALS
Government Recognized Industry Certification
Earn authentic, verifiable credentials recognized by industry leaders and verified via Startup India, MSME, and the Ministry of Corporate Affairs.
TIER 01 • Silver PerformerSilver Performer
Silver Certificate
Validates core engineering fluency, active internship engagement, and successful project submissions.
100% completion of course modules & domain internship tasks
Practical evaluation across live project milestones
Code submissions reviewed and approved by mentors
Unique QR code verification valid for lifetime authentication
Verified Internship Credential & LinkedIn Badge
View Full Certificate
Official QR & Govt. AccreditedClick to Enlarge
Government & Corporate Recognition
Accredited under Startup India, MSME, and Ministry of Corporate Affairs.
Verifiable Dynamic QR Code
Instant online validation for recruiters and hiring managers.
LinkedIn One-Click Integration
Seamlessly showcase verified credentials on your professional profile.