Turn Raw Data into Powerful Insights with AI.

Become a data-driven decision-maker. Learn how to clean, visualize, and analyze data using Excel, SQL, Power BI, and Python—then level up with AI models and forecasting techniques.

Why Learn Data Analytics with AI?

70% of companies now rely on data-driven decisions

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Hybrid roles like Data Analyst + AI Assistant are booming

2

Demand across every industry: healthcare, fintech, e-commerce, and SaaS

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What You'll Learn (Curriculum Overview)

Data Analytics Foundations

  • Understanding Data & Metrics
  • Descriptive vs Predictive Analysis
  • Business Intelligence Tools Overview

Excel & Data Cleaning

  • Advanced Excel Functions, Pivot Tables, VLOOKUP
  • Data Cleaning & Normalization Techniques
  • Formatting, Charts, Dashboards

SQL for Analysts

  • SELECT, JOIN, GROUP BY, Subqueries
  • Data Extraction & Query Optimization
  • Working with Structured Databases

Python for Data Analysis

  • Pandas, Numpy, Matplotlib, Seaborn
  • Data Cleaning, Merging, and Grouping
  • EDA (Exploratory Data Analysis)

Introduction to AI & ML

  • Supervised ML: Regression, Classification
  • Forecasting with Time Series Models
  • Basic Model Deployment using Streamlit

want to Learn ?

Our instructors are not just teachers; they are seasoned professionals who bring years of industry experience to the classroom

Our Differences

Career Outcomes

Eligible roles:

  • Data Analyst
  • Business Intelligence Analyst
  • Analytics Consultant
  • Product/Data Operations Associate
  • Junior AI Analyst

Industries:

  • Banking, SaaS, Healthcare, Retail, Consulting
  • Startups, IT Services, Analytics Firms
  • Blend of Analytics + AI for modern careers
  • Real dashboards, real data, real insights
  • Mentorship from BI professionals & data scientists
  • Project-first approach with career-ready portfolios
  • Tools from industry: Excel, SQL, Power BI, Python, ML APIs

Avg. Entry Salary

₹4-8 LPA

Experienced Roles

₹8-12 LPA

Global Freelancing

$30-$75/hr

Why Choose QuantumCrafters?

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Project-First Learning - Build, Deploy, Repeat

We start by understanding your unique passions and career goals, aligning you with the perfect course to turn your interests into a thriving career.

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Expert
Led Mentorship

Learn from industry professionals who provide personalized feedback, real-world insights, and hands-on guidance to help you excel in your studies.

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Career Ready
Support

Go beyond technical training with career-focused guidance, including resume-building, mock interviews, networking opportunities, and our 100% job placement guarantee to help you transition into the workforce.

Your Path to Tech Success Support

Discover → Learn from Experts → Gain Hands-on Experience → Launch Your Career

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Immersive
Practical Experience

Develop in-demand skills through hands-on projects, real-world case studies, and interactive assignments that prepare you for industry challenges.

Program Structure & Timeline

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Duration:

  • 4.5 to 6 Months (Part-Time Friendly)
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Mode:

  • Online + Optional Labs
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Certification:

  • Analytics Pro Credential + Capstone Evaluation
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Eligibility:

  • Students, Professionals, Analysts, Career Switchers

Frequently Asked Questions

Our Stories & Team

FAQ It Up! Your curiosity meets our expertise let's clear things up!

We've gathered all the important info right here. Explore our FAQs and find the answers you need.

Is coding necessary for this course?
What kind of real projects will I do?
Will I learn both Excel and Power BI?
Can I apply for data analyst jobs after this course?
Is AI really used in analytics?
Will I learn SQL?
Can I pursue freelance or remote roles?
What’s the difference between this and a Data Science course?
Are job interviews and placement help provided?
What if I get stuck during the course?

Ready to Analyze Smarter?

Unlock a future-proof career in data. Learn how to read the numbers—and let AI do the rest.

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