Data Analyst Course in Hyderabad | Career & Job Assistance

Join the best data analyst course in Hyderabad and learn Python, SQL, Excel, Power BI and more with real-time projects and 100% placement and career assistance.

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Data Analyst Course(#114)

Course Overview

Hyderabad has witnessed unprecedented growth in data professionals, and data professionals are in great demand. From the IT giants in HITEC City to the fintech startups in Gachibowli, data analysts capable of deriving insightful solutions from business data are needed across all sectors. Designed for those who want to be data professionals who are ready for the workplace, PyNet Labs’ Data Analytics Course in Hyderabad has positioned itself to meet those expectations. 

This Data Analsyt course has a primary objective of developing analytical thinking and the ability to tackle business challenges by means of clear communication of insights. It has been structured so that learners, even those lacking a technical background, will find it uncomplicated and logical. 

With our Data Analytics Course in Hyderabad, you will learn: 

By the end of this course, you will be able to handle data with confidence and can apply to job roles like Data Analyst, business analyst, etc. This Data Analyst Course in Hyderabad comes with live instructor-led classes, project-based assignments, and job support to help you land your first analytics job in Hyderabad or anywhere in India. 

Data Analyst Course

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What exactly is Data Analytics?

We can say Data analytics is the science of making sense of data or information. In modern times, every organization collects a lot of data which includes sales number, customer records, social media insights, website click, etc. But this raw data means nothing as long as it is not interpreted by a data analyst.

A data analyst can do certain things, like: 

Pulling data from databases using SQL.

Cleans and organize the data in Excel or Python

Using statistics to find the data patterns

Building dashboards in Power Bi or Tableau to explain what the numbers mean.

Data analytics helps businesses reduce costs, make smarter decisions, and improve marketing performance. This is why; Data Analytics has become one of the most in-demand in the whole world including Hyderabad too.

Why learn Data Analytics in Hyderabad?

Hyderabad has quietly become one of India’s most powerful IT and analytics hubs. 
From Microsoft, Amazon, and Deloitte to TCS and Novartis – many global organizations have large analytics teams based here. 

Learning data analytics in Hyderabad is a smart decision for several reasons:

Hyderabad's analytics industry is expanding. Hyderabad’s IT corridor has witnessed huge increases in analytics hiring in the technology, banking, and healthcare industries.

Hyderabad has a strong corporate presence. Analytics divisions of multinational companies such as Google, Accenture, Cognizant, and Wipro are located in Hyderabad.

Hyderabad's analytics industry is expanding. Hyderabad’s IT corridor has witnessed huge increases in analytics hiring in the technology, banking, and healthcare industries.

There are networking opportunities and industry events. Data meetups and other community events held regularly in HITEC City provide opportunities for networking with industry professionals and recruiters.

In summary, if you live in Hyderabad, you are already in the most ideal place in the country to launch a career in data.

What you’ll learn in the Data Analyst Course in Hyderabad

Our training is designed to develop both your technical skills and your skills in problem solving. Each module reinforces the concepts from the previous one, allowing the learner to progress from and unpracticed beginner to a confident practitioner.

Module 1 (8 Hours): Introduction to Data Analytics

Part 1:  DATA ANALYTICS FOUNDATION

  • Data Analytics Introduction
  • Data Preparation for Analytics
  • Common Data Problems
  • Various Tools for Data Analytics
  • Evolution of the Analytics domain

Part 2: CLASSIFICATION OF ANALYTICS

  • Four types of Analytics
  • Descriptive Analytics
  • Diagnostics Analytics
  • Predictive Analytics
  • Prescriptive Analytics
  • Human Input in Various Types of Analytics

Part 3: CRIP-DM Model

  • Introduction to the CRIP-DM Model
  • Business Understanding
  • Data Understanding
  • Data Preparation
  • Modelling, Evaluation, Deploying, Monitorin

Module 2 (16 Hours): Microsoft Excel

  • ⁠Introduction to Excel Tables
  • Validations
  • Conditional Formatting
  • Advanced Filters
  • Hyper/Data Linking
  • Data Visualization and Dashboarding
  • Collaboration and Integration
  • Advanced Data Techniques
  • Macros and VBA Programming

Module 3 (16 Hours): Introduction to Python

  • Working with Jupyter Notebook
  • Python concepts:
    o Print function
    o Variable
    o Loops
    • If
    • Else
    • For
    • While
  • Python Data Structures:
    o Array
    o Sets
    o List
    o Tuple
    o Dictionary

Module 4 (8 Hours): Introduction to Statistics

  • Introduction to Descriptive Statistics
    o Mean
    o Outlier
    o Median
    o Mode
    o Skew
    o IQR
  • Bivariate relation
  • Linearity, strength, direction
  • Slope of regression
  • Causality and correlation
  • Interpreting various graph formats:
    o Dot Plot
    o Histograms
    o Box and Whisker
    o Scatter Plots

Module 5 (16 Hours): Analytics using Python

  • Data cleaning
  • Data pre-processing
  • NumPy and Pandas Python Libraries
  • Data visualisation using Seaborn and Matplotlib
  • Data Analytics with Python
  • Case studies
  • Project

Module 6 (16 Hours): Power BI

  • Introduction to Power BI
  • Power BI Interface and Navigation
  • Connecting to Data Sources
  • Data Cleaning and Transformation
  • Advanced Transformations in Power Query
  • Data Modelling Fundamentals
  • DAX (Data Analysis Expressions) Basics
  • Advanced DAX Functions
  • Creating Basic Visuals
  • Advanced Visualizations
  • Mapping and Geospatial Visualizations
  • Custom Visuals and App Store
  • Designing Dashboards
  • Dashboard Interactivity
  • KPI Dashboards
  • Publishing and Sharing Reports
  • Collaborating in Power BI Service
  • Scheduled Refresh and Data Management
  • Advanced DAX and Calculations
  • Performance Optimization
  • Row-Level Security (RLS)
  • Case Studies

Module 7 (16 Hours): SQL

  • Introduction to Databases
  • What is SQL?
  • Installing MySQL
  • Creating the Databases
  • The SELECT Statement
  • The SELECT Clause
  • The WHERE Clause
  • The AND, OR, and NOT Operators
  • The IN Operator
  • The BETWEEN Operator
  • The LIKE Operator
  • The REGEXP Operator
  • The IS NULL Operator
  • The ORDER BY Operator
  • The LIMIT Operator
  • Inner Joins
  • Joining Across Databases
  • Self Joins
  • Joining Multiple Tables
  • Compound Join Conditions
  • Implicit Join Syntax
  • Outer Joins
  • Outer Join Between Multiple Tables
  • Self Outer Joins
  • The USING Clause
  • Natural Joins
  • Cross Joins
  • Unions
  • Column Attributes
  • Inserting a Single Row
  • Inserting Multiple Rows
  • Inserting Hierarchical Rows
  • Creating a Copy of a Table
  • Updating a Single Row
  • Updating Multiple Rows
  • Using Subqueries in Updates
  • Deleting Rows
  • Restoring Databases

Module 8 (16 Hours): Tableau

  • Introduction to Tableau
  • Connecting to Data Sources
  • Data Preparation Basics
  • Data Blending and Joins
  • Data Transformation with Tableau Prep
  • Basic Charts and Visualizations
  • Formatting Visuals
  • Tableau’s Show Me Feature
  • Advanced Charts and Visualizations
  • Calculated Fields and Table Calculations
  • Using Filters and Sets
  • Introduction to Tableau Maps
  • Advanced Mapping Techniques
  • Spatial Calculations and Custom Territories
  • Dashboard Design
  • Adding Interactivity
  • Designing Data Stories
  • Publishing and Sharing Dashboards
  • Tableau Server and Tableau Online
  • Exporting and Presentation
  • Advanced Calculations and LOD Expressions
  • Performance Optimization
  • Tableau Extensions and APIs
  • Case Studies
  • Final Project

Module 9 (8 Hours): Capstone Project

  • A comprehensive, end-to-end project to apply all course concepts.
  • Solves a real-world or business-simulated problem using data

Who Can Join This Course?

Our data analytics training in Hyderabad is ideal for:

College students or recent graduates looking for a first job in analytics
IT professionals who want to shift into a data-driven role
Finance, HR, or Marketing professionals wanting to upskill
Entrepreneurs who wish to use data to make better business decisions

No coding experience? No problem. We start from scratch and build your skills step by step.

Career Opportunities After Data Analytics Course in Hyderabad

Data analytics is one of the few domains that’s relevant across every industry — and Hyderabad’s companies are hiring aggressively. 

After completing this Data Analyst course in Hyderabad, you can apply for roles such as:

Job Roles & Average Salaries

Data Analyst

₹3.5 – 5 LPA

Business Analyst

₹5 – 8 LPA

MIS Executive

₹8 – 12 LPA

Power BI Developer

₹6 – 10 LPA

Junior Data Scientist

₹7 – 15 LPA

Top Hiring Companies in Hyderabad

Amazon

Deloitte

Genpact

TCS

Tech Mahindra

Infosys

Novartis

Cognizant

Average Salary in Hyderabad: ₹4.5 LPA – ₹9 LPA (freshers), ₹10–15 LPA with experience.

Why Choose PyNet Labs?

Live + Recorded Learning Options

Attend classes live or watch recordings at your convenience.

Industry Expert Trainers

Learn from experienced industry recognized professionals. 

Practical Approach

Our teaching is centered on real-world projects instead of just theoretical concepts.

Portfolio Development

We will assist you in creating an impressive GitHub and Power BI portfolio.

Flexible Learning Schedule

Select either a weekday or weekend batch.

Placement Assistance

Resume building, interview prep, and job referrals until you land your role

What Our Students Say About Us?

Top Tools and Technologies You'll Work With

To make learning more practical, our data analyst course in Hyderabad includes case studies inspired by real business challenges. Here are a few examples: 

Category

Tool / Technology

Purpose

Data Handling

Microsoft Excel 

Cleaning, analyzing, and organizing data 

Databases

MySQL / SQL 

Querying and managing large datasets 

Programming

Python 

Automation, analytics, and scripting

Visualization

Power BI / Tableau 

Dashboards and reports

Statistics

Built-in & Python libraries

Hypothesis testing and analysis

Real-World Case Studies You'll Explore

To make learning more practical, our data analyst course in Hyderabad includes case studies inspired by real business challenges. Here are a few examples: 

Retail sales forecasting using historical data
HR analytics to understand employee performance
Customer segmentation for marketing campaigns
Credit risk analysis for financial institutions
Healthcare data analysis and disease prediction
And many Module-Wise Mini Projects

Every project gives you a glimpse of how analytics functions in the real world. This makes you more competitive in interviews and helps you in your career.

Global Demand for Data Analytics Skills

Hyderabad’s analytics ecosystem connects you not only to Indian employers but also to global opportunities. According to reports by NASSCOM and Gartner:

While over 97,000 data analytics jobs were posted in India in 2024, most of them (Hyderabad is 3rd) were in 3 cities: Bangalore, Hyderabad, and Pune.

Data Analyst, Business Analyst, and BI Developers are in the top 10 most sought after tech roles globally.

Companies look for people with a range of analytics skills (SQL, Python, Power BI) as opposed to a deep specialization in a single one.

If you invest in the right skills now, your opportunities will not be limited to Hyderabad; they will also include remote and hybrid data roles that will be available globally.

Industry Recognized Data Analyst Certification

Worldwide Recognition

Get a certification that is recognized worldwide and can open doors to various new opportunities.

Lifetime Validity

Your Certification will be valid
for a lifetime.

Data Science Dummy Certificate

Our Students Placed At

Learn from Industry Experts

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Ready to Start Your Data Analytics Journey in Hyderabad?

Rate of growth of analytics in Hyderabad is phenomenal and there is no better time to develop in demand analytics skills. Join PyNet Labs’ Data Analyst course in Hyderabad and join the data professionals of the future who are using analytics to make strategic business decisions.

Frequently Asked Questions

Q1. Is this Data Analyst Course in Hyderabad suitable for beginners?

Yes, this course is totally suitable for beginners as you don’t need any coding or analytics background to join this course and anybody whether from technical or non-technical background can join this course.

Q2. How much salary can I expect after the Data Analytics course?

After completing the Data Analyst Course in Hyderabad, you can easily start with a INR 3.5 to 6 LPA and with a few years of experience, you can move up to 8 to 10 LPA package.

Q3. Do you provide job assistance with this course?

Yes, you will get job assistance after this course. Our dedicated placement team will help you with resume building, interview preparation, and job referrals.

Q4. What is your mode of training delivery?

Currently, the classes are conducted live online via Microsoft Teams, giving everyone the flexibility to learn from their home while still participating in discussions and projects.

Q5. Will I get access to class recordings and study material?

Yes, every class is recorded and uploaded to our student portal within 24 Hours. You will have access to project files, assignments, practice data sets, etc even after completing your course.

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