Become an 

Expert Data Analyst

A Comprehensive Job-Ready Program to Kickstart Your Career

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Learn from Industry Leaders from Deloitte, Microsoft, Meta, IBM, Deutsche

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Get practical learning with Enterprise Scale Projects

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Learn Anywhere, Anytime at your own convenience.

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Profile building, Interview prep, 1-1 Sessions, Mock Interviews

New Batch Starts in July, 2025 

About Course

This course equips you with in-demand expertise in essential tools like MS Excel, SQL, Python, Power BI, Statistics, and Machine Learning enabling you to analyze data effectively and create impactful visualizations. Additionally, you’ll gain expertise in the transformative world of Generative AI with tools like ChatGPT.

Designed to enhance your analytical and problem-solving capabilities, the program also emphasizes critical industry skills to prepare you for real-world challenges. Whether you’re entering the field or upskilling, this program empowers you to stay ahead in the dynamic data-driven landscape.

Material Includes

  • 120 hours on-demand video lectures
  • Live interaction with trainers
  • 4+ Real Life Projects
  • 50+ Assignments & Quizzes
  • Resume Building
  • Interview Preparation
  • Certification

Program Highlights

projects

Industry Grade Projects

Large scale projects to gain real world knowledge and be job ready

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1-1 Mentoring

Dedicated mentors with 15+ years of industry experience

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AI tools Infused Learning

Applying AI tools to get results faster and boost overall productivity

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Live Problem Solving

Live connects with trainers to immediately resolve queries

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Certification

Get industry wide recognized certificate to boost your profile

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Interview Preparation

Assistance on resume building, portfolio  building and mock interviews

Program Fees

For Indian Learners
₨49999
₨ 24,999
  • Easy Monthly Installments
  • 15 Days Moneyback Gauranteed
  • Lifetime Course Access

Program Fees

For International Learners
$12999
$ 999
  • Easy Monthly Installments
  • 15 Days Moneyback Gauranteed
  • Lifetime Course Access

Program Modules

Module 1: Excel for Data Anaysis
  • Data Cleaning and Formatting
  • Excel Formulas & Functions (IF, VLOOKUP, INDEX-MATCH, etc.)
  • Pivot Tables and Charts
  • Conditional Formatting
  • Data Validation
  • Creating Dashboards
  • Python Basics (Data Types, Loops, Functions)
  • NumPy for Numerical Operations
  • Pandas for Data Wrangling
  • Matplotlib & Seaborn for Visualization
  • Working with CSV, Excel, and JSON Files
  • Introduction to Jupyter Notebooks
  • Introduction to SQL and Relational Databases
  • Understanding DDL (Data Definition Language) in SQL
  • Working with DML (Data Manipulation Language) in SQL
  • Exploring DCL and TCL in SQL
  • Mastering Joins and Sub-queries
  • Using Functions and Expressions for Data Transformation
  • Implementing Constraints, Indexes, and Views
  • Creating and Managing Stored Procedures and Triggers
  • Leveraging Common Table Expressions (CTEs) and Window Functions
  • Optimizing Queries and Handling JSON Data in SQL
  • Introduction to Power BI and Its Ecosystem
  • Data Transformation with Power Query (M Language)
  • Data Modeling and Relationships
  • Interactive Visualizations and Custom Charts
  • Adding Interactivity: Slicers, Drill through, Tooltips, Bookmarks
  • Power BI Service: Publishing and Sharing Reports
  • Implementing Row-Level Security (RLS)
  • Working with Dataflow in Power BI Service
  • Deployment Pipelines and Best Practices
  • Descriptive Statistics (Mean, Median, Mode, Variance)
  • Probability Basics & Distributions
  • Sampling Techniques
  • Hypothesis Testing (t-tests, Chi-Square)
  • Confidence Intervals
  • Correlation & Regression Analysis
  • Introduction to AI, ML and GenAI
  • Supervised vs Unsupervised Learning:
  • Algorithms: Linear & Logistic Regression, Decision Trees, Clustering (K-Means)
  • Model Evaluation (Accuracy, Precision, Recall, F1 Score)
  • Introduction to Neural Networks
  • Gen AI and Language Models
  • Hands on with GenAI APIs: OpenAI / Hugging Face APIs
  • Transformers and Attention Mechanism
  • Define a Business Problem
  • Data Collection & Cleaning
  • Exploratory Data Analysis
  • Visualization & Insights
  • Reporting and Presentation
  • Pair up with the Career Specialist
  • Building winning resume
  • Optimizing Linkedin and other online profiles
  • Sharing job requirements of companies
  • Assistance on job applications
  • Interview preparation with mock interviews
  • Guidance on salary negotiation
  • Overview of Git & GitHub
  • GitHub Account Creation
  • Git Installation
  • Git Lifecycle: Working Directory, Staging Area, and Repository
  • Branching, Merging, and Conflict Resolution
  • Collaborating via Forks, Issues, and Project Boards
  • Integration with CI/CD Tools and DevOps Practices
  • Algorithm Foundations & Complexity Analysis
  • Linear Data Structures
  • Non-Linear Data Structures
  • Hashing and Advanced Data Structures
  • Searching, Sorting & Algorithm Design Techniques
  • Advanced Problem Solving Techniques

Skills Covered

  • Data Analytics with Excel
  • Database Management
  • SQL
  • Business Statistics
  • Business KPIs
  • Data Modeling
  • DAX
  • Data Mining
  • Exploratory Data Analysis
  • Data Visualization
  • Machine Learning
  • Data Analysis with Python
  • ChatGPT
  • Prompt Engineering
  • Git / GitHub

Tools and Technologies Covered

Job Opportunities

A Data Analyst collects, processes, and analyzes data to uncover trends, patterns, and insights that inform business decisions. They use tools like Excel, SQL, and data visualization software to generate reports and support strategic planning. Data Analysts focus on interpreting data to help organizations optimize processes and improve performance.

Average Salaries: 4L – 16L per annum

Job Opportunities: 

  • Sectors like finance, healthcare, retail, e-commerce, tech, and logistics rely heavily on analytics.
  • According to the U.S. Bureau of Labor Statistics, Data Analyst-related roles are expected to grow ~23% from 2021 to 2031—much faster than the average.
  • NASSCOM estimates India will need over 2.5 million data and analytics professionals by 2026.

A Business Intelligence (BI) Analyst plays a crucial role in helping organizations make data-driven decisions by transforming raw data into meaningful insights, reports, and dashboards. While similar to data analysts, BI analysts focus more on reporting, dashboards, and decision support at the business level.

Average Salaries: 4L – 14L per annum

Job Opportunities: 

  • Linkedin Job Reports says BI Analysts are consistently in the Top 10 most in-demand data roles.
  • NASSCOM / Zinnov Reports says India’s analytics market projected to be worth $16 billion+ by 2025 and BI-focused Roles are expected to grow at ~25% CAGR between 2024–2027.
  • Sectors like finance, healthcare, retail, e-commerce, tech, and logistics rely heavily on analytics.
  • TCS, Infosys, Accenture, Flipkart, Reliance Jio, Amazon, Google, Fractal Analytics, and unicorn startups are among the top employers.

Go to Data Analytics Internship Program

Trained by the Industry’s Leading Instructors

Step into your future, led by the leaders of today.

Vineet Setia

Rudder, Fractal, IIT B

15 years of experience with expertise in Business Analytics, Data Analytics System Design, Machine Learning & AI

Tulika Gupta

IBM, Accenture, LTI

15 yrs of Experience with expertise in Business Analytics, Machine Learning & AI, Databases and SQL

Nikita Gupta

Deutsche, Deloitte, JP Morgan, IIT K

16 years of experience with expertise in Python Programming, Machine Learning, Deep Learning and AI

Akshat Gupta

Deloitte, Google

14 years of experience with experience in Cloud Infrastructure, DevOps, MLOps, Database Design

Have a query? Reach out to our career advisors!

Frequently Asked Questions

What is the eligibility / background required for this program?

This course is ideal for beginners, job-seekers, students, working professionals, and anyone who wants to enter the field of data analytics.

No prior experience is needed. We start from scratch and gradually build up to advanced topics.

You’ll learn:

  • Excel for data cleaning and analysis

  • SQL for data extraction

  • Power BI/Tableau for data visualization

  • Python (Pandas, Numpy, Matplotlib) for data manipulation

  • Real-world projects and case studies

Data Analytics Career Program helps you in upskilling in data analytics industry and also a career transition program for non-data analytics professional.

Our program is designed to equip you with the right skill-set required for the job roles like Data Analyst, and Business Intelligence Analyst .

This course is a blend of both:

  • Self-paced: Learn at your own schedule and pace

  • Live sessions: Regular live interactions with the instructors for training, doubt solving and guidance.

Yes, you’ll receive a certificate upon successful completion of the course and assignments.

Yes, we help our students secure job after course completion with:

 

Resume Reviews: 

  • We assist students in crafting professional, tailored resumes that highlight their skills and experience effectively.

  • We provide personalized feedback to improve formatting, content, and keyword optimization.

 
Mock Interviews:

  • We conduct practice interviews to help students build confidence and improve their communication skills.

  • Sessions simulate real interview scenarios and include both technical and behavioral questions.

 
Job Referral Support:

  • We Provide guidance on identifying relevant roles and submitting strong applications through our referral channels.

The course typically lasts 6 months. You’ll have lifetime access to recorded sessions and all learning materials.

We offer a 100% refund within the first 15 days if you’re not satisfied with the course.

Book a FREE webinar to know more about this program

Contact us

[email protected]

+91-9869801963

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