Duration: 5 Months Offline / In-Lab Certificate Included

Data Analytics Course in Saharanpur

Turn raw numbers into business decisions. Learn Excel, SQL, Power BI and Python for data analysis — with 100% practical labs and real dashboard projects.

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Course Overview

Data Analytics Course in Saharanpur — Complete Training Guide

What Is Data Analytics?

Data analytics is the process of examining raw data — sales figures, customer records, website traffic, survey responses, whatever a business collects — to find patterns, answer questions and support decisions. A data analyst's job is to turn a spreadsheet or database full of numbers into a clear answer to a real business question: which product is underperforming, why did revenue dip last quarter, which customers are most likely to churn. It's one of the most in-demand and accessible entry points into tech, because it builds on tools like Excel that most students and professionals already have some familiarity with, rather than requiring a programming background from day one.

What This Course Covers

This is a complete, 5-month data analytics training program covering the full analyst workflow end to end: cleaning and structuring messy data in Excel, querying relational databases with SQL, building interactive dashboards in Power BI, and going deeper with Python (Pandas & NumPy) for analysis that spreadsheets can't handle on their own. Alongside the tools, you'll build the statistical thinking to back up every insight — the difference between a real trend and random noise — so you're not just running reports, you understand what they mean.

The course is built for commerce, science and engineering graduates exploring a data career, working professionals who want to make their Excel-heavy work faster and smarter, and anyone curious how companies actually use data to make decisions. You'll work on real, business-style datasets from day one — not toy exercises — and finish with a portfolio of dashboards, queries and a capstone project you can walk an employer through in an interview.

Why This Course

Why Learn Data Analytics?

Data roles are consistently ranked among the fastest-growing tech jobs in India. The World Economic Forum's Future of Jobs Report 2025 places data analysts among the top five most in-demand roles globally through 2027, and NASSCOM has estimated a shortfall of over a million skilled data professionals in India against fast-growing employer demand — meaning the gap between open roles and trained candidates keeps growing.

Every Team Needs Data People

Marketing, finance, sales, operations — every department now runs on numbers. Data Analytics is one of the most transferable tech skills, opening doors even outside traditional "IT" companies.

The Easiest Real Entry Into Tech

You don't need to be a "coder" to start. If you already know Excel, you're already halfway there — this course builds on that comfort instead of throwing you straight into programming.

Tools Companies Actually Use

SQL, Power BI and Python aren't classroom exercises here — they're the exact stack listed in real Data Analyst job postings. What you build in class is what you'll be asked to do on day one of a job.

A Foundation For What's Next

Analytics is also the natural stepping stone into Data Science, AI and Business Intelligence roles later — you're not boxing yourself in, you're opening more doors.

Why Credible Academy

Why Choose Credible Academy For Data Analytics Training?

Credible Academy is an ISO 9001:2015 certified IT training institute in Saharanpur, built around one idea: you learn a skill like data analytics by doing it, not by watching someone else do it. Every session runs in our own lab on real machines, in small batches, so you're not one of sixty people watching a screen — you're building the dashboard yourself, with a trainer who checks your work.

You'll learn directly from Mohsin Ahmad, Founder & Lead Trainer, who brings over a decade of hands-on experience in Full Stack Development and Data Analysis rather than a rotating cast of junior instructors reading from a slide deck. And the course doesn't end at the last class — it plugs into our full placement support roadmap: building your profile, setting up GitHub, showcasing your capstone project, optimizing your presence on job portals, and preparing you for the interviews that actually get you hired.

What You'll Learn

Clean, structure and analyse real-world datasets in Excel
Write SQL queries with joins, aggregations and subqueries
Build interactive dashboards and reports in Power BI
Use Python (Pandas, NumPy) for deeper data analysis
Apply basic statistics to spot trends and outliers
Present data-driven insights the way businesses expect
Build a portfolio-ready analytics project end to end
Learning Journey

Your Complete Data Analytics Roadmap

A structured, five-month path from spreadsheet basics to a portfolio-ready analytics project — each phase builds directly on the last.

1 Weeks 1–4

Excel & Data Fundamentals

Start with the tool you already half-know. Build real fluency in cleaning, structuring and querying data before touching anything new.

  • Data cleaning & formatting for messy, real-world sheets
  • VLOOKUP/XLOOKUP & INDEX-MATCH for cross-referencing data
  • Pivot tables for fast summarisation
Confidently clean and summarise any messy spreadsheet handed to you.
2 Weeks 5–8

SQL for Analysts

Move from a single spreadsheet to querying real databases — the skill that separates an analyst from a spreadsheet user.

  • SELECT, WHERE & ORDER BY fundamentals
  • JOINs across multiple related tables
  • GROUP BY & aggregate functions for summarised insight
Write your own SQL queries to pull exactly the data you need from a database.
3 Weeks 9–12

Data Visualization with Power BI

Turn query results into dashboards a manager can actually act on — the deliverable most analyst roles are judged by.

  • Connecting & shaping data from multiple sources
  • Building interactive, filterable dashboards
  • DAX basics for calculated fields & measures
Build a live, interactive dashboard from raw data in a single sitting.
4 Weeks 13–16

Python for Data Analysis

Graduate to code where Excel and Power BI hit their limits — bigger datasets, repeatable analysis, custom logic.

  • Pandas for data wrangling at scale
  • NumPy for numerical operations
  • Matplotlib for custom charts & plots
Automate an analysis in Python instead of repeating manual spreadsheet work.
5 Weeks 17–18

Statistics for Analytics

Learn to tell the difference between a real trend and random noise — the thinking layer behind every good analysis.

  • Descriptive statistics (mean, median, variance)
  • Trend & correlation analysis
  • Identifying and handling outliers
Back up every insight with a statistically sound reason, not just a hunch.
6 Week 19

Capstone Project

Bring every tool together on one real, end-to-end business dataset — the single most important piece of your portfolio.

  • Choosing and scoping a real dataset
  • Cleaning & analysing it end to end
  • Building the final presentation-ready dashboard
Walk away with a complete, demo-ready project you can show any employer.
7 Week 20

Interview & Portfolio Prep

Learn to talk about your work the way interviewers expect — this is where most self-taught analysts fall short.

  • Structuring your project portfolio
  • Common Data Analyst interview questions
  • Presenting your analysis clearly and confidently
Walk into an interview able to explain your work, not just show it.
What You Walk Away With

Skills & Tools You'll Gain

Skills You'll Gain

Data Cleaning SQL Querying Dashboard Design Statistical Analysis Business Reporting Stakeholder Communication Problem Solving

Tools & Tech You'll Use

Microsoft Excel SQL Power BI Python Pandas & NumPy Google Sheets

Who This Course Is For

  • Commerce, science or engineering graduates exploring a data career
  • Working professionals who want to make Excel-heavy work faster and smarter
  • Anyone curious about how companies use data to make decisions
  • Students who prefer working with numbers over pure coding

Requirements

  • Basic computer familiarity — no coding background required
  • A laptop for home practice is helpful but not mandatory — lab access is provided
  • Willingness to practice with real datasets between classes

Duration & Fees

Duration: 5 Months

Fees: ₹46,500/-

  • Certificate of Completion
  • 100% Hands-on Lab Access
  • Real-World Capstone Project
  • Doubt-Clearing Sessions
  • Small Batch Sizes
  • Placement Support
Limited seats per batch — WhatsApp us to check current batch availability.
Check Batch Availability on WhatsApp

Your Trainer

Mohsin Ahmad

Mohsin Ahmad — Founder & Lead Trainer

A decade of experience in Full Stack Development & Data Analysis, with hands-on, project-based teaching.

Read full trainer profile

Career Outcomes

Data Analyst
Business Analyst
MIS Executive / Reporting Analyst
Junior Data Scientist (growth path)
Verified Google Reviews

What Our Students Say

Razia Ansari
Razia Ansari
Data Analytics • College Student
Google Review

"I'm doing the Data Analytics course here and the teachers are very good. I'd suggest this course to anyone — excellent 👌"

Enna Chaudhary
Enna Chaudhary
Business Analytics
Google Review

"I am doing my business analytics from here and it was a very brilliant experience. Mohsin sir is such a good and supportive trainer... The credible academy has a very friendly environment... From my personal experience you must visit if you want to learn such type of skills. It will be worth it."

Manya Arora
Manya Arora
Data Analytics
Google Review

"Doing the data analysis course here. Great learning experience! The course is well-structured and easy to understand."

Gaurav Kumar
Gaurav Kumar
Power BI Demo
Google Review

"I have taken a two-day demo class of Power BI and my experience is very good — I have gained a lot of knowledge about Power BI, thanks to Credible Academy."

Rajat Khatri
Rajat Khatri
Data Analytics
Google Review

"I am learning Data Analytics at Credible Academy — Advanced Excel, Power BI, Python programming and its libraries like Numpy, Pandas, Matplotlib, and SQL database. My learning experience is excellent here, and Mohsin Ahmad Sir himself is doing wonderful work in Saharanpur."

Himanshu Sharma
Himanshu Sharma
Now working as a Data Analyst
Google Review

"I am currently working as a data analyst. It was a wonderful experience at Credible Academy, learning under Mohsin Sir was great — personal teaching and monitoring is what makes it unique. I got the required tools knowledge plus an industry-like environment with different, diverse datasets."

See all Google reviews

Frequently Asked Questions

No — the course starts from Excel basics and builds up step by step to SQL, Power BI and Python, so complete beginners can follow along.

Data Analytics focuses on analyzing existing data to find trends and build reports/dashboards. Data Science goes further into statistics, machine learning and building predictive models. This course is the practical, industry-relevant analytics track.

Common entry points include Data Analyst, Business Analyst, MIS Executive and Reporting Analyst roles — anywhere companies need someone to turn raw data into decisions.

Real, hands-on work throughout — you'll clean actual datasets, write SQL queries and build dashboards, ending with a capstone project for your portfolio.

Yes, flexible payment options are available for most students. WhatsApp us at +91 98973 35904 to discuss what works for you.

Our small batch sizes mean trainers can help you catch up in the next session, and doubt-clearing time is built in so you don't fall behind.

Ready to start your Data Analytics journey?

Book a free demo session with our lead trainer today.