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Transform raw data into powerful business insights with comprehensive Data Analytics Certification Training. This intensive program combines statistical analysis, advanced Excel, SQL databases, Python programming, and cutting-edge visualization tools like Power BI and Tableau to prepare you for high-demand analytics roles.
150k+ Placemenets to Date
600+ Hiring Partners
76 Lakhs Highest Annual
Next Batch starts in November
Build an Impressive Portfolio
Expand Your Career Opportunities
Stay Ahead with Industry Trends
Master Cutting-Edge Development Tools
Data analysts are critical assets across every sector—from technology giants and financial institutions to healthcare, retail, and consulting firms. Our graduates secure analytics positions at leading organizations leveraging data-driven strategies for competitive advantage and innovation.
₹4–10 LPA (Entry-Level), ₹10–18 LPA (Mid-Level), ₹18–25 LPA (Senior-Level)
Data Analysts collect, organize, and analyze data to generate actionable insights and support decision-making processes.
₹5–12 LPA (Entry-Level), ₹12–20 LPA (Mid-Level), ₹20+ LPA (Senior-Level)
Business Analysts identify business needs and create data-driven solutions to improve efficiency and performance.
₹8–16 LPA (Entry-Level), ₹18–30 LPA (Mid-Level)
Analytics Consultants work closely with clients to provide tailored data-driven solutions and strategies for business challenges.
₹4–8 LPA (Entry-Level), ₹8–15 LPA (Mid-Level)
Marketing Analysts use data to evaluate marketing campaigns, identify trends, and optimize strategies for better ROI.
₹5–10 LPA (Entry-Level), ₹12–20 LPA (Mid-Level)
Financial Analysts use data analytics to study market trends, forecast revenues, and support investment decisions.
₹5–10 LPA (Entry-Level), ₹10–18 LPA (Mid-Level)
Data Visualization Specialists create compelling charts, graphs, and dashboards using tools like Power BI, Tableau, and Python libraries.
Data analysts are critical assets across every sector—from technology giants and financial institutions to healthcare, retail, and consulting firms. Our graduates secure analytics positions at leading organizations leveraging data-driven strategies for competitive advantage and innovation.
₹4–10 LPA (Entry-Level), ₹10–18 LPA (Mid-Level), ₹18–25 LPA (Senior-Level)
Data Analysts collect, organize, and analyze data to generate actionable insights and support decision-making processes.
₹5–12 LPA (Entry-Level), ₹12–20 LPA (Mid-Level), ₹20+ LPA (Senior-Level)
Business Analysts identify business needs and create data-driven solutions to improve efficiency and performance.
₹8–16 LPA (Entry-Level), ₹18–30 LPA (Mid-Level)
Analytics Consultants work closely with clients to provide tailored data-driven solutions and strategies for business challenges.
₹4–8 LPA (Entry-Level), ₹8–15 LPA (Mid-Level)
Marketing Analysts use data to evaluate marketing campaigns, identify trends, and optimize strategies for better ROI.
₹5–10 LPA (Entry-Level), ₹12–20 LPA (Mid-Level)
Financial Analysts use data analytics to study market trends, forecast revenues, and support investment decisions.
₹5–10 LPA (Entry-Level), ₹10–18 LPA (Mid-Level)
Data Visualization Specialists create compelling charts, graphs, and dashboards using tools like Power BI, Tableau, and Python libraries.
This comprehensive curriculum spans statistical foundations, database management, business intelligence tools, and Python programming for analytics. Progress from descriptive statistics and hypothesis testing through advanced Excel analytics, SQL queries, Power BI dashboards, Tableau visualizations, and Python-based data manipulation — culminating in real-world predictive modeling and automation projects.
Hands-On Labs: 70% practical exercises using real datasets and industry tools Classroom Training: Interactive sessions with immediate instructor feedback Online Live Classes: Virtual training with screen-sharing and collaborative coding Hybrid Learning: Combine in-person and remote sessions seamlessly Self-Paced Practice: Access recorded sessions and datasets anytime Tool-Based Modules: Master Excel, SQL, Power BI, Tableau, and Python sequentially Project-Driven Learning: Apply skills through real case studies and capstone projects Industry Datasets: Work on finance, retail, and healthcare datasets for real insights Certification Preparation: Python certification exam scenarios included Weekly Assessments: Quizzes and practical tests to track progress Statistics Foundation (15 hrs): Probability, distributions, hypothesis testing, ANOVA Advanced Excel & VBA (20 hrs): Pivot tables, macros, advanced formulas, dashboards SQL Database Management (20 hrs): Queries, joins, stored procedures, DB design Power BI Mastery (20 hrs): DAX functions, visualizations, publishing, AI features Tableau Visualization (15 hrs): Interactive dashboards, maps, and advanced charts Python for Analytics (30 hrs): Pandas, NumPy, visualization, ML basics Statistical Analysis: Descriptive & inferential stats, regression, correlation Spreadsheets: Microsoft Excel (formulas, pivots, macros, VBA) Business Intelligence: Power BI & Tableau dashboards Databases: MySQL, SQL Server fundamentals Programming: Python (Pandas, NumPy, Matplotlib, Seaborn) Additional Skills: Web scraping, automation, API integration Fresh graduates from any background seeking entry into high-growth analytics careers Professionals in finance, marketing, operations, or HR looking to leverage data analytics Business analysts & consultants strengthening their toolkit with Excel, SQL, Python, BI tools IT professionals and developers transitioning into data science or analytics roles Entrepreneurs analyzing customer behavior, sales patterns, and operational metrics Career changers from non-technical backgrounds seeking structured, placement-ready training Statistical Analysis Mastery: Apply descriptive & inferential statistics including probability, hypothesis testing, ANOVA, chi-square, and correlation analysis Advanced Excel & VBA Expertise: Create dashboards, automate tasks with macros, and master complex formulas for business reporting SQL Database Proficiency: Write advanced queries, design databases, and optimize performance for large datasets Business Intelligence Visualization: Build interactive dashboards in Power BI & Tableau with AI insights and DAX functions Python Data Analytics: Manipulate data using Pandas, NumPy, perform automation, and create data visualizations & ML models End-to-End Analytics Projects: Execute workflows from data collection to visualization and actionable recommendationsPrerequisites: Basic knowledge of Excel and statistics is recommended. Interest in data analysis, business intelligence, and problem-solving will help you grasp advanced analytics efficiently.
Learn data collection, cleaning, visualization, SQL queries, Python/R analysis, and Power BI dashboard creation with practical examples from real-world datasets.
Advantages & Disadvantages of Visualizations
Why Data Visualization is Important
Understanding Data
Different Types of Data Visualizations
What is Tableau?
Overview of Tableau Tool (Servers, Data, Visualizations)
Basic Charts
Text Tables
Highlight Tables
Bar Charts
Stacked Bar
Line Graphs
Dual Axis
Pie Charts, etc.
VLOOKUP & its Limitations
HLOOKUP
INDEX-MATCH
HYPERLINK
INDIRECT
OFFSET
TRANSPOSE
General VLOOKUP Problems
VLOOKUP with MATCH Function
VLOOKUP using (*) Problems
VLOOKUP using Running COUNTIF
Nested VLOOKUP
CHAR
CONCATENATE
EXACT
FIND
LEFT / RIGHT
PROPER
SEARCH
MID
UPPER
AND
IF
IFERROR
NOT
OR
TRUE
DAY
DATE
HOUR
MINUTE
SECOND
TIME
MONTH
YEAR
TODAY
WEEKDAY
NOW
SUM
SUMIF / SUMIFS
COUNT / COUNTIF
MOD
PRODUCT
SUMPRODUCT
ROUNDUP
ARRAY FORMULAS
Pivot Tables & Pivot Charts
Waterfall Mode
Create, Drop, Truncate, Alter, and Rename Objects
Select Statements
Grant, Revoke, and Transaction Statements
Numeric
Date and Time
LOB Types
Insert, Update, and Delete Statements
Create and Drop Databases
Examples
Start, Commit, and Rollback Statements
Identifier
Rollback and Release
Creating, Altering, and Dropping Tables
Advantages
Creating and Dropping Views
Types of Stored Objects
Inner Join
Left Join
Right Join
Deque in Python
Python Dict
Python Tuples
Python Frozenset
Difference between List, Tuple, Dict, Set, and FrozenSet
List Comprehensions
Set Comprehensions
Dictionary Comprehensions
Set Comprehensions
Apply your skills through comprehensive projects including customer segmentation analysis, sales forecasting dashboards, financial risk assessment models, marketing campaign optimization, supply chain analytics, and predictive modeling using Python—all based on authentic business scenarios and datasets.
Skills: Data Cleaning, Data Visualization, Business Intelligence, Excel Functions, KPIsTools: Microsoft Excel, Power BI, Tableau, SQL Description:Students will look at a company's sales data and make a performance dashboard that shows trends in revenue, best-selling products, customer groups, and sales by region. The project starts with cleaning up data, making…
Skills: Predictive Analytics, Machine Learning Basics, Data Wrangling, VisualizationTools: Python (Scikit-learn, Pandas, Matplotlib), Power BI, Tableau, Excel Description:Keeping employees is very important to businesses. Students will look at HR datasets in this project to find patterns that explain why employees leave. They will use Python to clean the data, do…
Skills: Data Preprocessing, Exploratory Data Analysis (EDA), Clustering, Data StorytellingTools: Python (Pandas, NumPy, Matplotlib, Seaborn), Jupyter Notebook, SQL, Excel Description:To grow your e-commerce business, you need to know how customers act. Students will use real-world e-commerce data to do segmentation and behavior analysis for this project. They will clean up…
Get a Data Analyst Certification that is respected and acknowledged by leading businesses in a variety of sectors. You can demonstrate your proficiency with Excel, SQL, Python, R, Power BI, Tableau, and other crucial analytics tools with this certification. Show that you can manage analytics projects from start to finish, from data cleaning and analysis to reporting and visualization.
In addition to helping you stand out in a competitive job market, this certification opens doors to high-paying positions in IT, finance, healthcare, e-commerce, and consulting by validating your practical skills and data-driven decision-making abilities.
Professionals Trained
Countries & Counting
Corporate Served
Master a curriculum crafted and constantly updated by industry experts to match real-world trends, ensuring every concept and project builds job-ready, future-proof skills.
Receive one-on-one mentorship, resume reviews, mock interviews, and complete placement assistance through our 500+ hiring partners to accelerate your tech career.
Learn directly from certified professionals with years of hands-on experience who guide you through every module, project, and career milestone personally.
Gain practical exposure by working on live, industry-grade projects that mirror real business challenges, strengthening your technical execution and problem-solving abilities.
Join thousands of successful learners who have launched rewarding tech careers through Grras. Our consistent placement results, trusted partnerships, and alumni success stories speak for the quality of our training.
Navigate your professional journey with a comprehensive guide that transforms learning into opportunity. Discover proven strategies to build skills, gain experience, and secure your ideal position in today's competitive job market.
Building Strong Foundation
Focus on industry-relevant skills
Real-world projects to implement learned concepts.
Weekly tests to assess progress
Sharpening Interview Readiness
Mock sessions with real-time feedback from experts
Host industry experts for advanced technical guidance
Focus on problem-solving, critical thinking, and domain expertise
Communication & Aptitude Skill Development
Through interactive classes, students enhance both verbal and non-verbal communication, while also learning to present their ideas clearly, confidently, and effectively.
Enhances students' problem-solving, analytical thinking, and numerical ability-preparing them for competitive exams and placement tests.
Resume building masterclasses
Help students structure professional, impactful resumes
Bridging the Gap
* Partner with top companies for hiring pipelines * Conduct webinars and sessions with recruiters
* Connect candidates to aligned opportunities * Organize hiring events and recruitment drives
Advance interview boot camp
Equip students to handle high-pressure interview situations
Prepare students for various interview formats, including case studies, coding rounds, and group discussions
Personalized 1:1 guidance
* Address specific weaknesses and barriers to success. * Develop personalized improvement plans
Focus on industry-relevant skills
Real-world projects to implement learned concepts.
Weekly tests to assess progress
Mock sessions with real-time feedback from experts
Host industry experts for advanced technical guidance
Focus on problem-solving, critical thinking, and domain expertise
Through interactive classes, students enhance both verbal and non-verbal communication, while also learning to present their ideas clearly, confidently, and effectively.
Enhances students' problem-solving, analytical thinking, and numerical ability-preparing them for competitive exams and placement tests.
Help students structure professional, impactful resumes
* Partner with top companies for hiring pipelines * Conduct webinars and sessions with recruiters
* Connect candidates to aligned opportunities * Organize hiring events and recruitment drives
Equip students to handle high-pressure interview situations
Prepare students for various interview formats, including case studies, coding rounds, and group discussions
* Address specific weaknesses and barriers to success. * Develop personalized improvement plans
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