Data Analytics Course in HSR Layout

The upGrad Learning Support Centre in HSR Layout offers structured classroom mentoring to help beginners and working professionals build practical, job-ready Data Analytics skills.

With guided mentorship, hands-on projects, and industry-focused training in data analysis, business analytics, and visualization tools, the centre provides strong offline learning support over a 4–6 months structured learning period.

Learners benefit from interactive technical sessions combined with career-focused guidance, helping them prepare for real-world analytics roles across various industries.

One of the key advantages of the centre is comprehensive career support, enabling learners to stay focused on skill development, interview readiness, and long-term professional growth.

Located in HSR Layout, Bengaluru, the centre blends offline classroom mentoring with industry-aligned learning to support successful career outcomes in the Data Analytics domain. The course fee is INR 99,999, with flexible payment options available.

• Location: upGrad Learning Support Centre – HSR Layout, Bengaluru 
  3rd Floor, HSR Optima, No. 1672/A, 14th Main Rd, 7th Sector, 
  HSR Layout, Bengaluru, Karnataka 560102

• Contact Us: 1800 210 7070

• Timings: 10 am – 8 pm

• Blended Classroom and Online Learning: Learners receive a balanced mix of offline classroom mentoring at the HSR Layout centre and structured online learning content, ensuring flexibility with consistent academic support.

• Hands-on Technical Learning: The course focuses on practical learning through real-world datasets, live exercises, and applied analytics tasks to strengthen analytical thinking.

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

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

• Resume Building and LinkedIn Profile Evaluation: Career-focused sessions help learners build strong resumes and optimize LinkedIn profiles to improve recruiter visibility.

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

• 1:1 Mock Interview Calls: Personalized mock interviews help learners gain confidence, receive expert feedback, and improve interview performance.

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

• Career Transition Support: The program is ideal for fresh graduates and working professionals looking to transition into Data Analytics roles, offering a clear and structured learning path.

The Data Analytics course in HSR Layout is designed to help learners build strong analytical, technical, and business problem-solving skills through a structured, hands-on learning journey. The curriculum progresses from core analytical foundations to advanced data handling and visualization techniques, supported by real-world assignments and practical industry use cases to ensure job readiness.

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 interactive dashboards. It focuses on visualization and BI tools widely 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 HSR Layout is an important step toward building a successful career in analytics. upGrad’s program focuses on practical learning, industry relevance, and career readiness to help learners succeed in data-driven roles.

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

• Industry-Ready Curriculum: The curriculum is designed by industry experts to align with current hiring trends in data analytics, ensuring learners develop skills that employers actively look for.

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

• Expert Faculty and Mentorship: Training is delivered by expert faculty with strong academic foundations and hands-on experience in data analytics, business analytics, and BI roles.

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

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

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

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

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

Data analytics continues to be one of the fastest-growing career paths, and Bengaluru is a major hub for technology, analytics, and data-driven innovation. A Data Analytics course in HSR Layout helps learners build practical, job-ready skills aligned with industry requirements.

Key Reasons to Choose a Data Analytics Institute in HSR Layout:

• High Demand for Analytics Professionals: Data analytics skills are in strong demand across industries such as IT, fintech, e-commerce, healthcare, and startups in Bengaluru.

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

• Thriving Tech and Startup Ecosystem: HSR Layout is surrounded by a vibrant startup and enterprise ecosystem, creating consistent demand for skilled data analysts.

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

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

A Data Analytics course in HSR Layout is suitable for learners from diverse academic and professional backgrounds who want to build, upgrade, or transition into analytics roles.

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

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

• Working Professionals: Aiming to upskill and move into analytics-driven job profiles.

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

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

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

Enrolling in the Data Analytics Course with upGrad is a simple and guided process designed to help learners start their analytics journey smoothly. Follow these steps to apply and get started.

Steps to Enroll in the Data Analytics Course:

1. Check Eligibility: The program is open to college students, early pass-outs, non-technical 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 with 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 on eligibility, batches, 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 learning journey.

Completing a Data Analytics course in HSR Layout prepares learners for high-demand roles across industries such as IT, fintech, e-commerce, healthcare, consulting, and startups. With practical skills in data analysis, visualization, and business intelligence, learners can confidently build analytics careers in Bengaluru’s thriving tech and startup ecosystem.

HSR Layout’s proximity to major technology hubs and startups provides strong exposure to analytics-driven job opportunities, making it an ideal location to launch or grow a data analytics career.

Top Data Analytics Jobs in Bengaluru and Average Salaries:

Sourced By: AmbitionBox

Top Recruiters

• Flipkart

• Genpact

• Groupm

• TechMahindra

• Public Groupe

• KPMG

• Uber

• tcQo

• ZS