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Business Analytics Mentorship Program

Become a job-ready Business Analyst in 14 weeks plus gain real industry exposure with a 4-week internship. Master Business Analytics from scratch with Top Business Analysts from Microsoft, KPMG, Amazon, and Rapido.
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  • job-guarantee-icon
    1.5 Lakh+
    Aspirants Mentored
  • job-guarantee-icon
    350+
    Hiring
    Partners
  • job-guarantee-icon
    7+
    Industry
    Mentors
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AI-Infused Project-Driven Curriculum
AI-Infused Project-Driven Curriculum
Curriculum

AI-Infused Project-Driven Curriculum

Master how AI enhances data cleaning, visualization, and predictive modeling in modern analytics.

  • Industry projects on finance, e-commerce, martech
  • Strong portfolio of dashboards, reports, and models
  • Master AI tools that automate repetitive analysis tasks
Guided by Data Experts from Top Companies
Guided by Data Experts from Top Companies
Mentorship

Guided by Data Experts from Top Companies

Learn directly from data leaders from Google, Amazon, Microsoft, Rapido & KPMG.

  • Master real data workflows with insider insights
  • Learn applied analytics with hands-on problem-solving
  • Get guided feedback on every milestone and project
Learn & Build Together in Jam Sessions
Learn & Build Together in Jam Sessions
Learn By Doing

Learn & Build Together in Jam Sessions

Live interactive sessions where you analyze data, build dashboards, discuss, and extract insights together in real time.

  • Work in teams on real business analytics use cases
  • Present insights to an industry mentors
  • Build projects live with mentors in real time
Work as a Business Analytics Intern at WsCube Tech
Work as a Business Analytics Intern at WsCube Tech
Internship

Work as a Business Analytics Intern at WsCube Tech

Gain real industry exposure by working as a Business Analytics Intern with a 4-week online internship.

  • Solve business problems using real datasets
  • Apply tools & concepts in industry-driven scenarios
  • Build practical experience for your resume & portfolio
Placements Support for 1 Year
Placements Support for 1 Year
Placements

Placements Support for 1 Year

Get dedicated help into your hiring journey end-to-end with real recruiter expectations.

  • Guided preparation for every stage of placements
  • Learn how to crack analytics jobs & interviews
  • Referrals to 350+ partner companies
AI-Infused Project-Driven Curriculum

Success Stories of Our Alumni

Our alumni are now excelling in high-impact data roles across leading tech, consulting & product companies with career-defining salary jumps and global opportunities.

Under WsCube’s Mentorship
Transformed
Milestone 1 - Duration: 4 weeks

Learn how to think strategically about products by understanding systems, outcomes, and business goals. Discover user needs through structured research and transform insights into well-defined product requirements. Use product metrics, analytics, and experimentation to make data-driven decisions and build successful products.

Week 1

Systems Thinking and Outcome Mapping for Product Strategy

  • Introduction to Systems Thinking
  • System Structure and Organizational Systems
  • Feedback Loops and System Dynamics
  • Systems Thinking in Digital Products
  • Aligning Business Goals with Product Outcomes
  • Product Metrics and Outcome Measurement
  • Outcome Mapping and Opportunity Prioritization
Week 2

Opportunity Discovery Through User Research

  • Opportunity Discovery and Opportunity Solution Trees
  • Opportunity vs Feature Thinking
  • Problem Definition and Opportunity Sizing
  • Introduction to User Research
  • User Research Types and Methods
  • Conducting User Research (Interviews, Surveys, Observation)
  • Research Synthesis, Bias, and Ethics
Week 3

Problem Framing and Requirements Definition

  • Introduction to Problem Framing
  • Problem Statements and Root Cause Analysis
  • Jobs To Be Done (JTBD) and Problem Validation
  • Types of Product Requirements
  • Product Requirement Documentation and User Stories
  • Story Mapping and Requirement Structuring
  • User Story Quality, Prioritization, and Stakeholder Alignment
Week 4

Product Metrics, Analytics, and Data-Driven Decision Making

  • Introduction to Product Metrics and Measurement
  • Types of Product Metrics and the AARRR Framework
  • Vanity vs Actionable Metrics
  • Product Analytics Fundamentals
  • Funnel, Retention, and Cohort Analysis
  • Feature Adoption and Experimentation (A/B Testing)
  • Hypothesis-Driven Analysis and Data-Informed Decision Making

Project:

Strategic Product Analysis at Urban Company

You are working as a Business Analyst at Urban Company, a leading home services platform operating across India. The management has noticed that despite strong app downloads and growing service listings, repeat bookings have been declining steadily over the past two quarters and customer acquisition costs are rising.You have been asked to deliver a full strategic analysis by mapping the system behind booking behavior, connecting business goals to measurable product outcomes, identifying and researching the right opportunity areas, framing the core problem with precision, defining clear requirements, and building a metrics framework to track progress.

Case Study

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Connecting Business Outcomes at Swiggy

You are working at Swiggy, a leading food delivery platform. The management has asked you to connect their revenue growth goal to the right product outcomes and evaluate which proposed features actually move the needle.

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Opportunity Discovery at IKEA

You are working at IKEA, a global furniture and home goods retailer. The management has asked you to investigate the decline in repeat purchases among urban customers and identify the real opportunity spaces driving this behavior.

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Requirements Workshop at PhonePe

You are working at PhonePe, a leading digital payments platform. The management has asked you to lead a requirements workshop for a new bill-splitting feature and bring alignment across product, engineering, design, and compliance teams.

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Data-Driven Decisions at Meesho

You are working at Meesho, a fast-growing social commerce platform. The management has asked you to investigate a 15% drop in repeat orders in Tier-2 cities and recommend which hypothesis to pursue first using a structured, data-driven approach.

Data Storytelling Fest

Transform raw data into compelling stories using Power BI/Tableau and compete to present the best insights.

Milestone 2 - Duration: 3 weeks

Kickstart your Data Analytics journey with Excel!  From pivot tables to essential functions and from charts to dashboards learn every essential to become a Data Analyst. Excel isn't just a tool, it's your new superpower!

Week 1

Introduction to Data Analytics & Excel - Ⅰ

  • Introduction to Data Analytics
  • Basic Features in Excel
  • Formatting in Excel
  • Dealing with Raw Data
  • Functions in Excel
  • AI Prompting for Excel formulas
  • AI-assisted data cleaning
Week 2

Deep Dive with Excel - ⅠⅠ

  • Data Connectors in Excel
  • Cleaning in Power Query Editor
  • Adding Conditional Columns using Power Query Editor
  • Data Modelling and its Importance
  • Cardinality and Filter Direction in Power Pivot
  • ChatGPT/Gemini → Generate Power
  • Query M scripts
Week 3

Master Advanced Excel - ⅠⅠⅠ

  • Pivot Tables in Excel
  • Charts in Excel
  • Slicers in Excel
  • Measures in Excel
  • Creating a Dashboard in Excel
  • AI Visual Recommendation
  • Dashboard Summary Insight
  • Narration with AI
  • Invideo/Descript using AI

Project:

Tata Power – EV Charging Network Expansion Analysis

As a Data Analyst at Tata Power, you have been tasked with using Excel to build a comprehensive EV Infrastructure Planning Dashboard. Analyze electric vehicle density, mobility patterns, charging demand, corridor coverage, installation costs, and revenue potential to identify underserved regions, estimate ROI per location, and recommend data-driven priorities for scalable charging network expansion.

Case Study

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Analysis of Myntra Apparel

You are working at Myntra, a leading online fashion retailer. The management has asked you to analyse a dataset of various apparel items to gain insights into pricing, discounts, ratings, and available sizes.

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Audible Data Cleaning

As a data cleaning analyst at Audible, you've been assigned the task of cleansing a dataset sourced from audible's app. Ensure meticulous attention to detail to guarantee the accuracy and reliability of our data for subsequent analyses.

Excel Interview Prep with Industry Expert

In this session, you'll master Excel for data analytics interviews. Learn insider tips on using Excel effectively, tackling real-world scenarios, and impressing interviewers with your data manipulation skills.

Milestone 3 - Duration: 3 weeks

Want to retrieve, clean, manipulate and analyse the data?? Do it efficiently by using SQL queries!! This milestone covers everything from basic queries to complex joins, empowering you to extract valuable insights from large datasets with ease.

Week 4

Welcome to MySQL

  • Introduction to MySQL
  • Basic MySQL Syntax
  • Clauses in MySQL
  • Operators in MySQL
  • Dealing with Null Values in MySQL
  • AI for SQL query generation
  • AI debugging SQL errors
  • AI auto-documentation of queries
Week 5

Advanced SQL Queries and Functions in MySQL

  • Functions in MySQL
  • Case Operator in MySQL
  • Group By in MySQL
  • Having Clause in MySQL
  • Joins in MySQL
  • Query Optimization using AI
Week 6

Advanced SQL Concepts and Techniques in MySQL

  • Subqueries in MySQL
  • Union, Intersect, Except in MySQL
  • Stored Procedures in MySQL
  • Common Table Expressions(CTE)
  • Window Functions in MySQL
  • Stored procedure templates using AI
  • Debug window functions with AI

Project:

Amazon - Sales Data Analysis Using SQL

As a Data Analyst at Amazon, you have been tasked with using SQL to analyze sales transactions, customer orders, product performance, regional trends, and revenue metrics. Perform complex queries, joins, aggregations, and subqueries to uncover sales patterns, identify top-performing products, evaluate customer behavior, and support data-driven business decisions.

Case Study

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Swiggy Analysis Using SQL

Swiggy seeks insights from its SQL dataset. Implement sophisticated SQL queries with intricate joins for in-depth analysis and strategic decision-making.

SQL Interview Prep with Industry Expert

SQL is the backbone of data analysis. Get ready to deep dive into complex queries, optimize your understanding of database management, and leave with pro tips to stand out in SQL-based interview questions.

Milestone 4 - Duration: 4 weeks

Transform raw data into powerful insights with Data Visualization! Learn to create interactive dashboards, compelling charts, and dynamic reports using tools like Power BI and Tableau. Master the art of storytelling with data and make informed decisions with ease!

Week 11

Data Visualisation with Power BI

  • Introduction to Power BI
  • Data Connectors
  • Power Query Editor and Tools
  • Append Queries and Merge Queries
  • Pivoting and Unpivoting of data
  • Exploring datasets with AI
Week 12

Advanced-Data Modeling and DAX in Power BI

  • Data Modelling and Cardinality
  • Cross Filter Direction
  • Measures vs Calculated Columns
  • Functions in DAX
  • Cumulative Sales and Moving Average Using DAX
  • AI natural language to DAX
  • AI anomaly detection for trends
  • DAX optimization using AI
  • AI quick YoY, MoM, rolling avg
Week 13

Visualizations and Dashboard Creation in Power BI

  • ChatGPT for Measures
  • Column Charts and Slicers
  • Matrix vs Tables
  • Cards, KPI and Gauge Chart
  • Formatting a Dashboard
  • AI-generated DAX & explanations
  • Smart Narratives for auto-insights
Week 14

AI Automation and Workflow

  • How LLMs Actually Work
  • The Art of Prompt Engineering
  • RAGs, Fine Tuning & Model Optimization
  • AI-Powered Workflow Automation
  • Set up smart checks and alerts
  • Generate insights with AI-driven flows

Project:

Olympic Games - Athlete Performance & Medal Analysis

As a Data Analyst for the Olympic Games, you have been tasked with using Power BI to build a comprehensive Sports Performance Dashboard. Analyze athlete profiles, country-wise participation, medal distribution, event categories, and historical trends to identify top-performing nations, emerging sports, gender participation patterns, and factors influencing medal success for strategic sports development and funding decisions.

Unilever Multi-Layer Workflow Automation

You are a data analyst at Unilever tasked with developing a multi-layer workflow automation system. The goal is to create a simple yet efficient automated pipeline that handles raw data, performs basic preprocessing, generates insightful visual dashboards, and shares the final reports without any manual intervention.

Case Study

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Financial Performance Analysis Using Power BI & DAX

As a Data Analyst, you have been tasked with using Power BI and DAX (Data Analysis Expressions) to build an interactive Financial Intelligence Dashboard. Develop complex measures including running totals, moving averages, Year-to-Date (YTD), Month-to-Date (MTD), Year-over-Year (YoY) growth, and variance analysis to monitor revenue and cash flow trends, enabling data-driven financial planning and strategic decision-making.

Data Storytelling Fest

Transform raw data into compelling stories using Power BI/Tableau and compete to present the best insights.

Milestone 5 - Duration: 4 weeks

A 4-week immersive internship where you work as a Business Analyst Intern at WsCube Tech on real business challenges. Apply all program skills - business strategy, Excel, SQL, and data visualization, across live projects. Gain hands-on experience in requirement gathering, data analysis, dashboard creation, and stakeholder reporting while contributing to real decision-driving projects across departments.

Week 15

Business Discovery & Stakeholder Analysis

  • Conduct stakeholder interviews and requirement gathering sessions
  • Apply Systems Thinking to map real business problems
  • Use Excel to organize, clean and structure raw business data
  • Identify key metrics and define the North Star for the assigned project
Week 16

Data Extraction & Process Analysis

  • Write SQL queries to extract and analyze real business datasets
  • Identify patterns, gaps, and inconsistencies in company data
  • Perform opportunity discovery using structured research methods
  • Prepare data-backed reports and gap analysis for stakeholders
Week 17

Dashboard Design & Requirements Documentation

  • Build interactive dashboards in Power BI / Tableau for business teams
  • Translate findings into clear functional requirements and user stories
  • Design visuals for non-technical audiences with clarity and relevance
  • Align solution design with business outcomes and stakeholder needs
Week 18

Insights & Stakeholder Presentation

  • Consolidate work from all previous weeks into a unified business report
  • Craft a data-driven business narrative and recommendation deck
  • Present findings and dashboards to WsCube Tech stakeholders
  • Demonstrate end-to-end BA skills: research, data, visuals, and strategy
Bonus

Learn the latest tools and trends shaping the future of Business Analytics roles.

Data Visualisation with Tableau

  • Overview of Tableau Software
  • Installation and Setup
  • Tableau Workspace and User Interface
  • Connecting to Data Sources (Excel, CSV, Database)
  • Bar Charts, Line Charts, and Pie Charts
  • Histograms and Scatter Plots
  • Understanding Marks
  • Using Rows, Columns, Filters, and Pages
  • Sorting, Grouping, and Filtering Data
  • Using Colors, Labels, and Tooltips

Advanced Data Visualization and Storytelling with Tableau

  • Introduction to Statistics
  • Descriptive Statistics
  • Hypothesis Testing
  • AB Testing
  • Fundamentals of Probability
  • AI sample test scenarios
  • AI-driven simulations for visualization

Maths & Applied Statistics

  • Introduction to Statistics
  • Descriptive Statistics
  • Hypothesis Testing
  • AB Testing
  • Fundamentals of Probability
  • AI sample test scenarios
  • AI-driven simulations for visualization

Database Design & Architecture (MySQL)

  • Introduction to Database Design
  • Understanding Data Models (Conceptual, Logical, Physical)
  • Entity-Relationship (ER) Diagrams Basics
  • Normalization & Denormalization Concepts
  • Primary Keys, Foreign Keys & Relationships
  • Designing a Simple Database Schema in MySQL

Microsoft Fabric

  • Unified analytics with Microsoft Fabric ecosystem.
  • Integrate Power BI, Lakehouse, and Data Factory seamlessly.
  • Master modern Fabric architecture and Dataflow Gen2.
  • Build and manage Lakehouse with Delta Tables.
  • Execute a real-world Fabric project end to end.
  • Migrate legacy dashboards to Fabric effortlessly.
  • Automate pipelines and data refresh workflows.
  • Enable real-time insights with Power BI + Fabric.

Google Analytics 4 (GA4) for Data Analysts

  • Introduction to Google Analytics 4
  • Setting Up GA4 Property and Data Streams
  • Understanding Events, Parameters, and User Data
  • Exploring Reports and Key Metrics (Engagement, Retention, Traffic)
  • Connecting GA4 with BigQuery and Power BI
  • Building Dashboards and Interpreting Insights

Last Mile 3-Stage Exclusive Preparation

Last Mile 3-Stage Exclusive Preparation

01

Gear Up

Build a strong online presence with to get noticed by recruiters.

02

Pitch Perfect

Present ideas, tell stories, and ace interviews.

03

Tech Skill Setup

Master the practical side of digital marketing hiring.

01

Gear Up

Build a strong online presence with to get noticed by recruiters.

Gear Up
Gear Up

Resume Building

Craft impactful, job-ready resumes.

Portfolio

Showcase your projects and data stories effectively.

GitHub

Present real work with structured repositories.

LinkedIn

Optimize your profile for recruiter visibility.

02

Pitch Perfect

Present ideas, tell stories, and ace interviews.

Pitch Perfect
Pitch Perfect

Storytelling

Present your data projects with clarity, context, and impact.

Recruiter Insights

Learn how to align your pitch with what top recruiters look for.

Interview Tactics

Build authentic and structured responses for behavioral rounds.

Communication Mastery

Develop speaking and body language skills for interviews.

03

Tech Skill Setup

Master the practical side of digital marketing hiring.

Tech Skill Setup
Tech Skill Setup

Technical Round Prep

Problem-solving with SQL, Python, and BI-based questions.

Assessments

Tackle assignments and case study–specific data problems.

Whiteboarding Challenges

Practice structured thinking and data storytelling on the spot.

Guesstimates Practice

Crack analytical estimation and business reasoning confidently.

01

Gear Up

Build a strong online presence with to get noticed by recruiters.

Gear Up
Gear Up

Resume Building

Craft impactful, job-ready resumes.

Portfolio

Showcase your projects and data stories effectively.

GitHub

Present real work with structured repositories.

LinkedIn

Optimize your profile for recruiter visibility.

02

Pitch Perfect

Present ideas, tell stories, and ace interviews.

Pitch Perfect
Pitch Perfect

Storytelling

Present your data projects with clarity, context, and impact.

Recruiter Insights

Learn how to align your pitch with what top recruiters look for.

Interview Tactics

Build authentic and structured responses for behavioral rounds.

Communication Mastery

Develop speaking and body language skills for interviews.

03

Tech Skill Setup

Master the practical side of digital marketing hiring.

Tech Skill Setup
Tech Skill Setup

Technical Round Prep

Problem-solving with SQL, Python, and BI-based questions.

Assessments

Tackle assignments and case study–specific data problems.

Whiteboarding Challenges

Practice structured thinking and data storytelling on the spot.

Guesstimates Practice

Crack analytical estimation and business reasoning confidently.

certificat-icon

Industry-Recognized Certificate

A badge trusted by top companies.

certificat-icon

Stand Out in the Job Market

Turn your profile into a recruiter magnet.

certificat-icon

Your Passport to Career Growth

Step into better roles and higher salaries.

certificat-icon

Industry-Recognized Certificate

A badge trusted by top companies.

certificat-icon

Stand Out in the Job Market

Turn your profile into a recruiter magnet.

certificat-icon

Your Passport to Career Growth

Step into better roles and higher salaries.

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Live Data Arenas

Case Studies + Assignments from Top Companies

Learn real industry use cases and instantly apply every concept with short, focused assignments inside the live class, guided step-by-step by expert mentors.

8+

Case Studies

12+

Assignments

Turn every concept into execution, just like in real data teams.

Hackathon event
Proof of Work

Build Your AI Portfolio - Guided Milestone Projects

Every milestone ends with a complete, portfolio-ready Business Analytics with GenAI projects that proves your practical expertise.

4+

Portfolio Projects

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Public Portfolio

You won’t need to say you’re a Business Analyst, your WORK will prove it.

Portfolio creation session
Data + AI Stack

Train on the Exact Tools Used by Top Data & AI Teams

Get hands-on with tools used for data cleaning, analysis, modeling, pipelines, deployment, and LLM workflows used by Data Scientists and ML Engineers to build real systems.

40+

Data & AI Tools

100%

Job-Relevant Stack

Hands-on training on tools used by McDonald's, KFC, PayPal & more.

Students using real tools
Project-Based Learning

Showcase Mega Capstone Project on Demo Day

Build a full-scale Business Analytics with GenAI system and present it live in an online Demo Day to mentors & peers.

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Because the best Business Analysts are made by doing, not just learning.

Group discussion with mentors
Doubt Solving & Community Support

Learn with Discord Community & Mentor Network

Never get stuck, connect instantly with mentors and like-minded Business Analytics learners. Build accountability circles, share project feedback, work together, and grow as a team.

1.5 Lakh+

WsCube Learners Community

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Live Mentor Access

You’re never learning alone; you’re growing in a tribe.

Mock interview happening
Mock Interviews

Perfect Your Skills with 1:1 Mock Interviews

Face 1:1 mock interviews, problem-solving rounds, and project simulations designed exactly like real hiring at top tech, fintech, and data companies. Get actionable feedback from experts who’ve actually hired Business Analysts.

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HR Round

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Strategy + Campaign-Based Round

Walk into interviews with clarity, strategy, and confidence.

Upskilled students with certificates
Graduation Ceremony

Grand Celebration of Your Journey & Certification

Graduate with pride in an virtual ceremony, present your campaigns, receive your certification, and network with recruiters and mentors.

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Top Performer Showcase

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WsCube Tech Certification

You don’t just complete the program; you get celebrated and noticed.

Upskilled students with certificates
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    Cohort 1 Starting
    25th Apr, 26
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    For the last few seats

    Total Program Fee:

    53,400/-

    35,000/-

    Flat ₹18,400 OFF
    • Live instruction from Industry Veterans
    • Vibrant community just like a College Campus
    • Hand-on curriculum with Real-Life Projects

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WsCube Tech Alumni Stories, You can't afford to miss.

Anshika
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PATEL MAHIMA

Aspiring Data Analyst | SQL, Advanced Excel, Power BI and Python (Pandas, Numpy, Seaborn, Matplotlib) proficient | Data Analytics Mentee @WsCube Tech | Ex-Angular Developer at Lynkersoft

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Ayan Ghosh

Data Analyst skilled in MySQL, Power BI, Python, Tableau & Excel. Passionate about turning data into insights to solve real-world business problems in on-site or remote roles.

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Yes, freshers can certainly learn data analytics. It is a field that is constantly evolving, and it is not uncommon for individuals to enter the field without any prior experience or knowledge. In fact, our online data analytics courses in India are well-suited for beginners. We cover everything from the basics of data analytics.
No, our course is designed to be accessible to learners of all levels, and no prior knowledge or experience is required.
Yes, you will receive data analytics certification after successfully finishing the training.
Yes, data analytics is a great career choice for those interested in data, statistics, and technology. Data analysts are in high demand across a variety of industries, as businesses and organisations increasingly rely on data to drive decision-making and improve performance. Data analytics offers a promising career path with opportunities for growth, career advancement, and high earning potential.
Yes, data analysts are in high demand in today's digital economy. With the explosion of data and the increasing need for businesses to use data to drive decision-making, data analysts play a critical role in helping organisations gain insights and stay competitive. As a result, there is a significant demand for skilled data analysts across a variety of industries, including healthcare, finance, e-commerce, and technology, to name a few.

There are a wide range of career opportunities after the course on data analytics, including:

  • Data Analyst
  • Business Analyst
  • Data Scientist
  • Data Engineer
  • Business Intelligence Analyst
  • Market Research Analyst
  • Quantitative Analyst
  • Database Administrator
  • Data and Analytics Manager
  • Big Data Analyst
  • Predictive Modeller
  • Financial Analyst
  • Fraud Analyst
  • Healthcare Data Analyst
  • Marketing Analyst
  • Customer Insights Analyst
  • Risk Analyst
  •  

These are just a few examples of the many career paths available in data analytics. With the right skills and knowledge, there are plenty of opportunities to build a successful and rewarding career in this field.

The average data analyst salary in India is around INR 6,00,000 to INR 8,00,000 per annum. However, this can vary based on location, company size, industry, skills, education, and job responsibilities.

 

In the United States, the average salary for a data analyst is around $62,453 to $96,000 per year. In the United Kingdom, the average salary for a data analyst is around £28,000 to £50,000 per year.

Yes. It is an online data analyst course with placement. We help our learners to find suitable employment opportunities.

A data analyst is a professional who analyses and interprets large volumes of data to identify patterns, trends, and insights that can be used to inform business decisions, improve performance, and drive growth.

Some common tasks of a data analyst include:

  • Collecting and processing data from various sources
  • Cleaning and preparing data for analysis
  • Analysing data using statistical and analytical tools like SQL, Python, Power BI, Excel, etc.
  • Creating visualisations, charts, and reports to communicate findings
  • Identifying patterns, trends, and insights in the data to inform business decisions
  • Making data-driven recommendations for improvements or optimisations
  • Developing and maintaining databases and data systems
  • Collaborating with other teams and stakeholders to drive business outcomes

Data analytics can be a valuable skill set for a wide range of professionals, including:

  • learners
    learners who are interested in a career in data analytics.
  • Business professionals
    Executives, managers, and other business professionals who need to make data-driven decisions.
  • IT professionals
    Developers, database administrators, and other IT professionals who need to work with data.
  • Marketing professionals
    Marketing analysts, digital marketers, and other marketing professionals who need to measure the effectiveness of their campaigns.
  • Financial professionals
    Financial analysts, accountants, and other financial professionals who need to analyse financial data.
  • Engineers
    Engineers who work with sensor data, machine data, or other types of data.
  • Anyone who is interested in working with data
    Anyone interested in data and who wants to learn how to analyse it can benefit from learning data analytics.

Many companies across a wide range of industries are hiring for data analyst roles. Some of the top companies include:

  • Amazon
  • Microsoft
  • Facebook
  • Google
  • Apple
  • IBM
  • Accenture
  • Deloitte
  • KPMG
  • McKinsey & Company

In addition to these large tech and consulting firms, many smaller companies and startups are also hiring data analysts as they recognise the value of data-driven decision-making.

Industries such as finance, healthcare, retail, and manufacturing are all using data analytics to improve their operations and products, and as a result, they are hiring for data analyst roles.

There are also many online job boards and staffing agencies that specialise in placing data analysts in various industries and job functions. So if you are interested in this career, there are many opportunities available across a wide range of industries and company sizes. Join our best online data analytics course in India now to get started!

The data analyst course is a training program designed to equip learners with the essential skills and knowledge needed to analyse and interpret data in the digital economy.
This online data analyst course will equip you with the necessary skills and knowledge needed to succeed in the industry, making you an attractive candidate to potential employers.
Our course is taught by industry experts with extensive experience in the data analysis field.
The course includes hands-on 20+ projects that will allow you to apply the skills and knowledge you've learned in a practical setting.
The course duration is 2 months.
There are no prerequisites or fixed requirements for this training. Anyone interested in learning data analytics can join our course.
Yes, our course is available to learners all over the country, as long as they have access to a stable internet connection.
You can enrol in our online data analyst course by booking the demo class. Our team will be in touch with you for further assistance.

The subjects covered in our data analytics course in India include:

  • Python Programming
  • Data science libraries
  • Data analysis
  • Data visualisation
  • Microsoft Power BI
  • Data modelling
  • AI visuals
  • SQL (basic to advanced)
  • Advanced MS Excel

Power BI is a powerful business intelligence and data visualisation tool developed by Microsoft. It allows users to connect to a wide range of data sources, transform and model the data, and create interactive reports, dashboards, and visualisations.

With Power BI, users can easily analyse and understand data to gain insights and make informed decisions. It is widely used by businesses, data analysts, and data scientists to collect, analyse, and present data in an effective and visually appealing way. Power BI also provides a variety of features for collaboration, sharing, and data security.

SQL (Structured Query Language) is a fundamental tool in data analytics. It is a programming language that is used to communicate with relational databases, such as MySQL, Oracle, and SQL Server. SQL is used to extract, manipulate, and analyse data stored in databases.

In data analytics, SQL is used to perform various tasks, including:

  • Data Retrieval
  • Data Transformation
  • Data Analysis
  • Data Management
Data visualisation is the graphical representation of data and information in a way that is easy to understand and interpret. It is the process of turning data into visual elements such as charts, graphs, maps, and other visual representations that allow viewers to quickly and easily comprehend complex information. The primary goal of data visualisation is to communicate information clearly and effectively, so that viewers can gain insights and make informed decisions. It helps to reveal patterns, trends, and relationships in data that might not be immediately obvious in text or table format.