Data Analytics Course in Madhapur

• Blended Classroom and Online Learning: Learners receive a mix of offline classroom mentoring in Madhapur and structured online learning content, ensuring flexibility along with consistent academic support.

• Hands-on Technical Learning: The program emphasizes practical learning through real-world datasets, live exercises, and applied analytics tasks to build strong analytical thinking.

• Industry-Relevant Tools and Techniques: Training covers essential analytics tools such as Excel, SQL, Python, and data visualization platforms to help learners gain end-to-end data handling skills.

• Aptitude and Soft Skill Training: Learners receive aptitude development and soft skill training to improve problem-solving, communication, and workplace readiness.

• Resume Building and LinkedIn Profile Evaluation: Dedicated career sessions help learners create strong resumes and optimize LinkedIn profiles to improve visibility with recruiters.

• Interview Preparation and Question Bank: The course includes access to a curated interview question bank along with structured interview preparation sessions.

• 1:1 Mock Interview Calls: Learners participate in personalized mock interviews to gain confidence, receive feedback, and improve interview performance.

• Group Discussion and Interview Readiness: GD and interview preparation sessions help learners understand hiring expectations and improve professional communication skills.

• Career Transition Support: The course is ideal for fresh graduates and working professionals aiming to move into Data Analytics roles, with a structured path to bridge skill gaps.

The Data Analytics course in Madhapur is designed to equip learners with strong analytical, technical, and business problem-solving skills through a structured and hands-on curriculum. Learners progress from core analytical foundations to advanced data handling and visualization techniques, supported by real-world assignments and practical industry use cases.

Course 0: Preparatory Course

This foundational module helps learners revise essential mathematical concepts and develop analytical thinking required for data analytics roles. It focuses on logical reasoning and structured business problem-solving using industry frameworks and tools.

Topics covered:

• Developing Logic in Programming, CRISP-DM, and Excel

• Business Problem Solving using Excel

Course 1: SQL for Data Analytics

This module focuses on database fundamentals and data extraction techniques. Learners build strong SQL querying and data modeling skills to work efficiently with structured datasets used in real business environments.

Topics covered:

• Basics of SQL

• Advanced SQL – I

• Data Modelling

• Advanced SQL – II

• SQL Assignment

Tools and Technologies You’ll Master:

• SQL

• Kaggle

• GitHub

Course 2: Python for Data Analytics

This course develops hands-on programming skills using Python for data analysis, automation, and exploration. Learners work with popular Python libraries to clean, analyze, and visualize data effectively.

Topics covered:

• Introduction to Python

• Programming in Python

• Python for Data Science: NumPy and Basic Pandas

• Pandas

• DSA and OOPs

• Data Visualization in Python

• Exploratory Data Analysis

• Python Assignment

Tools and Technologies You’ll Master:

• Python

• Pandas

• NumPy

• Matplotlib

• Seaborn

Course 3: Data Visualization and Business Intelligence

This module teaches learners how to communicate insights effectively through data storytelling and dashboards. It focuses on visualization tools commonly used by analytics professionals across industries.

Topics covered:

• Data Storytelling and Visualization using Tableau

• Visualization in Power BI

• Dashboarding Assignment

Tools and Technologies You’ll Master:

• MySQL

• Excel

• Power BI

Choosing the right data analytics course in Madhapur is essential for building a successful career in analytics. upGrad’s program focuses on practical skills, industry relevance, and career readiness to help learners succeed in data-driven roles.

Here’s what makes upGrad’s Data Analytics Course in Madhapur a strong choice:

• Industry-Ready Curriculum: The curriculum is designed by industry experts to match current hiring trends in data analytics, ensuring learners build skills that employers actively seek.

• Masterclasses by Industry Veterans: Learners gain access to exclusive masterclasses led by experienced professionals who share real-world best practices, tools, and emerging analytics trends.

• Expert Faculty and Mentorship: Training is delivered by expert faculty with strong academic backgrounds and extensive experience in data analytics and business intelligence roles.

• Hands-on Training with Live Projects: Learners work on 10+ live, industry-relevant projects to apply concepts in real scenarios and build practical confidence.

• 5Ps Learning Methodology: The structured learning approach includes Pre-class learning, Concept Grasping, Practice sessions, DPPs (Daily Practice Problems), and Projects for strong concept clarity.

• Extensive Programming Tool Exposure: The course provides hands-on experience with 10+ programming and analytics tools used across analytics roles.

• Strong Hiring Partner Network: Learners gain placement exposure through a wide hiring network of 1200+ companies across technology, analytics, and consulting domains.

• Career-Focused Learning Path: The program prepares learners for real analytics roles by combining technical training with business problem-solving skills.

Data analytics continues to be one of the fastest-growing career paths, and Madhapur, part of Hyderabad’s IT and startup ecosystem, is emerging as a strong hub for analytics, IT services, and data-driven businesses. A data analytics course in Madhapur helps learners build practical, job-ready skills aligned with industry needs.

Key Reasons to Choose a Data Analytics Institute in Madhapur:

• Rising Demand for Analytics Professionals: Data analytics skills are increasingly required across industries such as IT, finance, healthcare, and e-commerce in Madhapur.

• Strong Career Growth Opportunities: Analytics roles offer competitive salaries, career stability, and long-term growth potential.

• Expanding Business and Tech Ecosystem: Madhapur’s growing startup and enterprise ecosystem creates steady demand for data analysts.

• Industry-Relevant Skill Development: Training focuses on real-world analytics use cases, tools, and decision-making frameworks.

• Hands-on Learning Approach: Live projects and practical assignments help learners gain real-world experience and job readiness.

A data analytics course in Madhapur is suitable for learners from diverse educational and professional backgrounds who want to build, upgrade, or transition into analytics roles.

Here’s who should consider joining a Data Analytics Course in Madhapur:

• Graduates and Final-Year Students: Looking to start a career in data analytics or business intelligence roles.

• Working Professionals: Seeking to upskill and move into analytics-driven job roles.

• IT and Non-IT Professionals: Interested in using data to support business decisions and insights.

• Business Analysts and Domain Experts: Wanting to strengthen analytics, visualization, and data interpretation skills.

• Career Switchers: From fields such as finance, marketing, operations, or sales, aiming to transition into data analytics.

Enrolling in the Data Analytics Course with upGrad is a simple and guided process designed to help learners begin their analytics journey smoothly.

Steps to Enroll in Data Analytics Course in Madhapur:

1. Check Eligibility: The program is open to college students, early passouts, non-tech professionals, and entry-level tech professionals who want to build or transition into data analytics roles.

2. Complete the Application: Fill out the online application form by providing your basic personal, educational, and professional details.

3. Consult with Learning Advisors: upGrad Learning Advisors will connect with you to review your profile, explain the course structure, and guide you through eligibility and career outcomes.

4. Receive Offer and Confirm Admission: Based on eligibility and batch availability, you will receive an offer. Confirm your seat by completing the admission formalities.

5. Start Learning: Get access to course content, live sessions, hands-on projects, and learning resources to begin your data analytics journey.

Completing a data analytics course in Madhapur prepares learners for in-demand roles across industries such as IT, BFSI, healthcare, e-commerce, consulting, and startups. With practical skills in data analysis, visualization, and business intelligence, learners can confidently build analytics careers in Madhapur’s growing tech ecosystem.

Top Data Analytics Jobs in Madhapur and Average Salaries:

Sourced By: Ambitionbox

Top Recruiters

• Flipkart

• Genpact

• Groupm

• TechMahindra

• Public Groupe

• KPMG

• Uber

• tcQo

• ZS