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Homeβ€Ί Coursesβ€Ί Data Analytics Course
πŸ“‰ Beginner Friendly πŸ“ Dilsukhnagar, Hyderabad βœ… Certificate on Completion

Data Analytics Course

The most complete beginner-to-job-ready Data Analytics course in Hyderabad β€” covering the full analytics stack: Excel, SQL, Python and Power BI in one programme. Taught by active MNC data professionals who use these tools to analyse real business data every day.

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DURATION
8 Weeks
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LEVEL
Beginner to Advanced
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MODE
Online Β· Offline Β· Hybrid
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CERTIFICATE
Industry Certificate

Tools & Technologies You Will Learn

Microsoft Excel SQL (MySQL) Python Pandas Matplotlib Power BI Tableau basics Google Sheets Google Analytics ChatGPT for analytics Jupyter Notebook Git basics
Enroll on WhatsApp β†’ View Curriculum
Data Analytics Course at LearnAI Tech Hub πŸ“‰
Free Demo Available
Contact us for current batch fees & EMI options
  • ⏱ Duration: 8 Weeks
  • 🎯 Level: Beginner to Advanced
  • πŸ’» Online Β· Offline Β· Hybrid
  • πŸ† Certificate on completion
  • πŸ’Ό 100% placement assistance
  • πŸ“ Real project + internship
  • πŸ” Lifetime access to recordings
  • πŸ“ž Mentor support throughout

Free career counselling available daily Β· No pressure, just honest advice

Data Analytics is the most in-demand entry-level technical skill across every industry in India

Every company generates data β€” sales data, customer data, operational data, financial data, marketing data. The challenge is making sense of it. Data Analysts bridge the gap between raw data and business decisions β€” they clean data, build reports, identify trends, spot problems and communicate insights to people who need to act on them. This skill is needed in every industry, every company size and every geography β€” making it the most reliably in-demand analytical career.

At LearnAI Tech Hub, this 8-week course teaches the complete analytics toolkit that employers actually require: Advanced Excel for quick analysis, SQL for database querying, Python with Pandas for large-scale data manipulation and Power BI for dashboard creation. By week 8, you can handle any data analysis task from raw data extraction through to executive dashboard delivery β€” the complete workflow that data analyst roles require.

What makes this course different

πŸ“š
Four tools in one course: Excel + SQL + Python + Power BI

Most courses teach one tool. We teach all four β€” because the job market for data analysts requires proficiency across the full analytics stack, not just one platform.

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Beginner-friendly with zero prerequisites

This course starts from absolute basics. No prior Excel, SQL or programming knowledge needed. If you have basic computer literacy, you can complete this course.

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The most versatile entry point into the data career family

Data Analytics is the gateway into Data Science, Business Intelligence, ML and AI. It is the first step of a career that can go in many directions β€” all of them well-paid.

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AI tools integrated from week one

Using ChatGPT to assist analysis, AI-powered insights in Excel and Power BI Copilot β€” you work the way analysts work in 2026, not 2019.

5 modules Β· 8 Weeks Β· Real projects every week

Every module is taught by an active MNC professional using real tools, real datasets and real architectures β€” not textbook examples.

01
Analytics Fundamentals & Advanced Excel
10 topics Β· Weeks 1–2
What data analysts do: the analytics workflow from data to decision
Data types, data quality and the basics of structured data
Excel mastery: VLOOKUP, INDEX-MATCH, XLOOKUP, dynamic arrays
Pivot Tables: multi-dimensional analysis, grouping, calculated fields
Charts and visualisation in Excel: choosing the right chart for your data
Conditional formatting, data validation and form controls
What-if analysis: scenario manager, data tables, goal seek
Project: Complete sales analysis report with Excel β€” from raw data to presentation
02
SQL for Data Analysis
10 topics Β· Week 3
Database fundamentals: tables, rows, columns, keys, relationships
SQL SELECT: filtering, sorting, grouping, aggregating data
Joins: combining tables for complete analysis
Subqueries and CTEs for complex analytical queries
Window functions: running totals, ranks, rolling averages for business insights
Date and string functions for data cleaning in SQL
Real-world SQL: customer analysis, sales reporting, inventory tracking queries
Project: Complete business analysis using SQL on a multi-table retail database
03
Python for Data Analytics
10 topics Β· Weeks 4–5
Python fundamentals: variables, data types, control flow, functions
Pandas: loading, cleaning and transforming datasets of any size
NumPy: array operations and mathematical calculations
Data cleaning: handling missing values, duplicates, outliers, wrong data types
Merging and reshaping data: merge, concat, pivot, melt
Matplotlib and Seaborn: creating publication-quality charts
Using ChatGPT and AI tools to write and debug Python analytics code
Project: Python data analysis pipeline β€” e-commerce order analysis from raw CSV to insights
04
Power BI Dashboard Development
10 topics Β· Weeks 6–7
Power BI Desktop: connecting data, data modelling, relationships
Power Query: cleaning and transforming data without code
DAX basics: SUM, COUNT, CALCULATE, time intelligence measures
Visualisations: bar, line, map, matrix, card β€” when and how to use each
Report design: professional aesthetics, colour, layout, interactivity
Slicers, bookmarks, drill-through and page navigation
Publishing to Power BI Service and sharing with stakeholders
Project: Complete business intelligence dashboard β€” multi-page Power BI report
05
Business Analytics & Career Preparation
8 topics Β· Week 8
Business analytics thinking: framing business questions as data problems
KPI design: choosing and defining metrics that actually matter
Storytelling with data: communicating insights to non-technical stakeholders
Analytics project management: from brief to delivery
ChatGPT and AI for analytics: automating reporting and insight generation
Data analyst portfolio: what to include, how to present, where to host
Interview preparation: technical, SQL and case study rounds
HR placement referral and mock data analyst interviews
Get Full Curriculum on WhatsApp β†’

You will graduate using industry tools β€” not toy projects

Every tool in this course is currently used by professionals in live production environments across companies worldwide.

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Excel
πŸ—„οΈ
SQL
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Python
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Pandas
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Power BI
πŸ“ˆ
Tableau
πŸ“Š
Google Sheets
🌐
Google Analytics
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ChatGPT
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Jupyter
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Matplotlib
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Git

Roles you will qualify for after this course

Our placement team directly places students from this course into these roles across our 1,000+ client company network β€” startups to Fortune MNCs.

πŸ“Š
Data Analyst
β‚Ή3.5L – β‚Ή10L / year
Every industry β€” IT, BFSI, healthcare, retail, e-commerce, logistics, consulting, government
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Business Analyst
β‚Ή4L – β‚Ή12L / year
IT services, product companies, consulting firms, BFSI, healthcare tech
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MIS Executive / MIS Analyst
β‚Ή3.5L – β‚Ή9L / year
Manufacturing, FMCG, BFSI, operations-heavy industries with reporting requirements
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Marketing Analyst
β‚Ή4L – β‚Ή12L / year
E-commerce, digital agencies, FMCG, retail, media companies
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Operations Analyst
β‚Ή4L – β‚Ή11L / year
Supply chain, logistics, manufacturing, retail operations analytics teams
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Research Analyst
β‚Ή4L – β‚Ή12L / year
Market research firms, consulting, BFSI research desks, equity research
Average Starting Salary β€” Freshers (Hyderabad)
Based on our placed students Β· 2024–2025 batch data
β‚Ή3.5L – β‚Ή12L per year

This course is designed for you if…

πŸ‘¨β€πŸŽ“
Graduates from any field β€” BBA, BCom, BSc, BA, B.Tech

Data Analytics is one of the most accessible and well-paying careers from any undergraduate background. This is explicitly a beginner-friendly course β€” no technical background required.

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Working professionals looking for a career upgrade

If you currently work in operations, sales, marketing, HR or finance and deal with reports and spreadsheets β€” this course transforms those tasks into a formal, marketable analytics skillset.

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Excel users who want to level up to SQL and Python

Excel is powerful but limited. This course takes Excel users to the next level β€” SQL for databases, Python for large datasets and Power BI for professional dashboards.

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Business owners wanting data-driven decision making

Understand your own business data β€” sales trends, customer behaviour, operational efficiency β€” without depending entirely on expensive analysts or agencies.

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Recent graduates and school leavers aged 18+

One of the fastest paths from education to employment in the technology sector. Companies hire Data Analysts from all backgrounds as long as they can demonstrate practical skills.

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Professionals targeting remote work or international roles

Data analytics is one of the most remote-work-compatible careers. Companies hire remote analysts globally β€” UAE, UK, Singapore and USA all have strong demand for data analysts.

Prerequisites

Basic computer literacy and Microsoft Office usage Any graduation (or final year students) No programming, SQL or analytics experience required Laptop with Microsoft Office

Questions about Data Analytics Course?

Not finding your answer? WhatsApp us directly β€” we respond within 30 minutes.

Ask on WhatsApp β†’
Data Analytics focuses on analysing existing data β€” describing what happened, identifying trends and building reports and dashboards. Data Science goes further β€” building predictive models, ML algorithms and AI systems. Analytics is the excellent starting point; Data Science is the deeper technical specialisation. Many Data Scientists started as Data Analysts.
Yes β€” because the job market requires all four. A Data Analyst who only knows Excel gets stuck when data volumes exceed Excel's limits. One who only knows Python cannot build dashboards. One who only knows Power BI cannot query databases. The combination of all four makes you immediately productive in any data analyst role.
Based on our placed graduates, actively job-searching students typically receive their first offer within 6–10 weeks of completing the course through our HR team's placement process. The timeline depends on how actively you apply and engage with our placement support.
Yes. There is no minimum educational qualification for this course. If you have basic computer literacy and are 18+, you can join. Many students in the 18–21 age group have successfully completed this course and been placed before completing their undergraduate degree.
One of the most consistently good careers in the entire technology sector. Every company generates data. Every company needs people who can analyse it. The tools change, but the fundamental need for analytical skills to turn data into decisions never goes away. AI enhances data analysts β€” it does not replace them.
Yes β€” LearnAI Tech Hub course completion certificate on successful completion. You will also have a Power BI portfolio dashboard, a Python analytics project and an SQL project β€” which are far more valuable to employers than any certificate.

Enroll in Data Analytics Course today

Book your free demo class β€” meet your trainer, see the teaching style, ask everything you want. No commitment, no fees.

πŸ“ Dilsukhnagar, Hyderabad Β· Online across India & Internationally Β· Mon–Sat 9AM–8PM