Data Analytics Course in PCMC

Blended Offline and Online Learning: Learners benefit from a mix of classroom mentoring at the upGrad Learning Support Centre in PCMC and structured online modules, offering flexibility with continuous academic guidance.

Hands-on, Practical Training: The program focuses on applied learning using real-world datasets, live exercises, and practical analytics tasks to strengthen analytical thinking and problem-solving skills.

Industry-Aligned Tools and Skills: Training includes essential tools such as Excel, SQL, Python, Power BI, and Tableau, helping learners build end-to-end data analysis and visualization capabilities.

Aptitude and Soft Skills Development: Dedicated sessions focus on improving logical reasoning, communication skills, and workplace readiness for analytics roles.

Resume and LinkedIn Profile Support: Career-focused workshops help learners build strong resumes and optimize LinkedIn profiles to improve visibility among recruiters.

Interview Preparation and Question Bank: Structured interview preparation sessions and a curated question bank help learners gain confidence and understand hiring expectations.

1:1 Mock Interviews: Personalized mock interview sessions provide detailed feedback to help learners improve interview performance.

Group Discussion and Interview Readiness: GD and interview practice sessions enhance professional communication and prepare learners for real hiring scenarios.

Career Transition Assistance: Ideal for fresh graduates and working professionals, the course offers a clear, structured pathway to transition into Data Analytics roles.

The syllabus is designed to build strong analytical, technical, and business problem-solving skills through a structured, hands-on learning journey. Learners move from foundational concepts to advanced analytics and visualization, supported by real-world assignments and industry use cases.

Course 0: Preparatory Module

This foundational module strengthens analytical thinking by revisiting essential mathematical, logical, and business problem-solving concepts required for Data Analytics roles.

Topics Covered:

• Logic Building for Programming

• CRISP-DM Framework and Excel Basics

• Business Problem Solving using Excel

Course 1: SQL for Data Analytics

Build a strong foundation in databases and data extraction by learning SQL querying and data modeling techniques for structured datasets.

Topics Covered:

• SQL Fundamentals

• Advanced SQL (Part I & II)

• Data Modeling Concepts

• SQL-Based Assignment

Tools & Platforms: SQL, Kaggle, GitHub

Course 2: Python for Data Analytics

Develop practical Python skills for data analysis, automation, and exploration using industry-relevant libraries and frameworks.

Topics Covered:

• Python Basics and Programming Fundamentals

• Python for Data Science (NumPy and Pandas)

• DSA and Object-Oriented Programming

• Data Visualization using Python

• Exploratory Data Analysis (EDA)

• Python-Based Assignment

Tools & Platforms: Python, Pandas, NumPy, Matplotlib, Seaborn

Course 3: Data Visualization and Business Intelligence

Learn how to present insights effectively through dashboards and data storytelling using leading BI tools.

Topics Covered:

• Data Storytelling with Tableau

• Power BI Visualizations

• Dashboarding Assignment

Tools & Platforms: MySQL, Excel, Power BI

Choosing the right Data Analytics course in PCMC plays a key role in building a strong analytics career. upGrad’s program focuses on practical learning, industry alignment, and long-term career readiness.

• Industry-Aligned Curriculum: The curriculum is designed by industry experts and aligned with current hiring trends in data analytics and business intelligence.

• Masterclasses by Industry Professionals: Exclusive masterclasses are conducted by experienced analytics practitioners who share real-world insights, best practices, and emerging industry trends.

• Experienced Faculty and Mentorship: Learners receive guidance from expert faculty members with strong academic backgrounds and hands-on analytics experience.

• Hands-on Learning with Live Projects: Work on 10+ real-world projects to apply concepts and gain practical exposure to industry scenarios.

• 5Ps Learning Framework: A structured approach covering Pre-class learning, Concept clarity, Practice sessions, Daily Practice Problems (DPPs), and Projects ensures deep understanding.

• Wide Tool Exposure: Gain practical experience with 10+ industry-relevant analytics and programming tools used in real-world roles.

• Strong Hiring Network: Get placement exposure through 1200+ hiring partners across analytics, technology, and consulting sectors.

• Career-Oriented Learning Path: The program blends technical training with business problem-solving skills to prepare learners for real analytics job roles.

Data analytics is one of the fastest-growing career domains, and PCMC is emerging as a major hub for IT services, technology-driven companies, and data-focused businesses. A Data Analytics course in PCMC helps learners build job-ready skills that align with current industry needs.

Key Reasons to Choose a Data Analytics Institute in PCMC:

• Growing Demand for Analytics Professionals: Industries such as IT, finance, healthcare, manufacturing, and e-commerce in PCMC increasingly rely on data-driven decision-making.

• Strong Career Growth Prospects: Analytics roles offer competitive salaries, job stability, and long-term career advancement opportunities.

• Expanding IT and Business Ecosystem: PCMC’s growing corporate presence and startup culture drive continuous demand for skilled data analysts.

• Industry-Relevant Skill Building: Training focuses on real-world analytics use cases, tools, and business frameworks to ensure job readiness.

• Practical, Hands-on Learning: Live projects, case studies, and applied assignments help learners gain confidence and real-world experience.

A Data Analytics course in PCMC is suitable for individuals from varied academic and professional backgrounds looking to start, upgrade, or transition into analytics roles.

Who Should Enroll:

• Graduates and Final-Year Students: Aspiring to begin a career in data analytics or business intelligence.

• Working Professionals: Looking to upskill and move into analytics-focused roles.

• IT and Non-IT Professionals: Interested in using data to drive informed business decisions.

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

• Career Switchers: From domains like finance, marketing, operations, or sales, aiming to move into analytics roles.

Enrolling in the Data Analytics course at upGrad’s Offline Learning Support Centre in PCMC is a simple, guided process designed to help learners begin their analytics journey smoothly.

Steps to Enroll:

Check Eligibility: The program is open to college students, recent graduates, non-technical professionals, and entry-level tech professionals looking to build or transition into Data Analytics roles.

Submit Your Application: Complete the online application form by sharing your personal, academic, and professional details.

Speak with Learning Advisors: upGrad Learning Advisors will review your profile, explain the course structure, clarify eligibility, and discuss learning outcomes and career opportunities.

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

Begin Your Learning Journey: Get access to course materials, live classroom sessions, hands-on projects, and learning resources to start your Data Analytics course in PCMC.

Completing a Data Analytics course in PCMC 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 pursue analytics careers in PCMC’s growing IT and industrial ecosystem.

Top Data Analytics Jobs in PCMC and Average Salaries

Source: AmbitionBox

Top Recruiters

• Tata Consultancy Services (TCS)

• Persistent Systems

• EXL

• Deloitte