Data Science Course in Madhapur

The upGrad Learning Support Centre in Madhapur offers structured classroom mentoring to help beginners and working professionals build job-ready skills in Data Science and Analytics. Designed to support learners at different career stages, the centre focuses on practical, industry-relevant training.

With expert-guided mentorship, hands-on projects, and focused learning in data analysis, machine learning, Python, and AI, the centre provides strong offline academic support to prepare learners for high-demand roles in the data domain.

One of the key highlights of this centre is the Pay After Placement option, which allows learners to concentrate on skill development without immediate financial burden.

Conveniently located in Madhapur, Hyderabad, the centre blends in-person guidance with career-oriented learning to help learners achieve meaningful professional growth.

Location: Polar Bear Ice Cream Sundaes – Madhapur, Metro Pillar No. C1763, VIP Hills, Jaihind Enclave, Madhapur, Telangana 500081

Contact Us: 1800 210 7070

Timings: 10 am – 8 pm

• Hands-on Technical Learning: The course emphasizes practical, hands-on training to help learners apply data science concepts effectively using real-world datasets and industry-relevant tools.

• Aptitude Training: Structured aptitude sessions are included to strengthen logical reasoning, quantitative skills, and problem-solving abilities required for data-driven roles.

• Resume Building Support: Learners receive guided support to create industry-ready resumes that effectively highlight technical skills, projects, and professional experience.

• LinkedIn Profile Evaluation: Expert reviews help learners optimize their LinkedIn profiles to improve professional visibility and attract recruiter attention.

• Interview Question Bank Access: Learners gain access to a curated interview question bank covering technical, aptitude, and role-specific questions to support interview readiness.

• 1:1 Mock Interview Calls: Personalized mock interview sessions are conducted to build confidence, refine responses, and improve overall interview performance.

• Soft Skill Training: Dedicated soft skill sessions focus on communication, presentation, and professional etiquette to prepare learners for workplace interactions.

• GD and Interview Preparation: Group discussion and interview preparation modules help learners develop clarity of thought, teamwork skills, and structured responses during selection processes.

The Data Science course in Madhapur is designed to develop strong analytical, technical, and problem-solving skills through a structured, hands-on curriculum. Learners progress from foundational concepts to advanced machine learning and AI, supported by real-world assignments and industry-focused projects. 

Course 0: Preparatory Course 

This module builds the essential foundation in mathematics, logical reasoning, and business problem-solving skills needed for data science. It equips learners to approach data challenges in a structured and industry-relevant manner. 

Topics covered: 

• Mathematics for Data Science and Machine Learning 

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

• Business Problem Solving using Excel 

Course 1: SQL 

Learners develop strong database management and querying skills, enabling them to extract and manipulate data efficiently from real-world datasets. 

Topics covered: 

• Basics of SQL 

• Advanced SQL – I 

• Data Modelling 

• Advanced SQL – II 

• SQL Assignment 

Course 2: Python for Data Science 

This course focuses on hands-on programming skills using Python for data analysis, automation, and exploration. Learners work extensively with core Python libraries used in data science roles. 

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 

Course 3: Data Visualization 

Learners are trained to communicate insights effectively through visual storytelling, dashboards, and business intelligence tools widely used in industry. 

Topics covered: 

• Data Storytelling and Visualization using Tableau 

• Visualization in Power BI 

• Dashboarding Assignment 

Course 4: Machine Learning 

This module introduces core statistical and machine learning techniques for predictive modeling and data-driven decision-making across industries. 

Topics covered: 

• Inferential Statistics and Hypothesis Testing 

• Linear Regression I & II 

• Logistic Regression 

• Project 

Course 5: Advanced Machine Learning and Generative AI 

The advanced module covers modern machine learning algorithms and AI applications. Learners complete a capstone project to demonstrate end-to-end problem-solving and technical expertise. 

Topics covered: 

• Decision Trees 

• Clustering 

• Ensemble Models 

• Natural Language Processing (NLP) 

• Neural Networks and Generative AI 

• Capstone Project 

Choosing the right data science course in Madhapur is crucial for building a successful career. upGrad’s coaching offers practical skills, expert guidance, and dedicated career support to help learners excel in data-driven roles.

Here’s why upGrad’s Data Science Course in Madhapur stands out:

• Comprehensive Placement Support: Learners receive structured career assistance, including resume building, interview preparation, and access to hiring opportunities with top companies.

• Pay After Placement Option: Start learning without upfront fees and pay only after securing a job through placement assistance, reducing financial stress while focusing on skill development.

• Industry-Relevant Curriculum: The program aligns with current industry requirements, covering Data Science, Machine Learning, and AI with modern tools and techniques.

• Mentor-Guided Industry Projects: Work on real-world projects under expert mentorship to gain practical exposure and confidence in solving business problems.

• Structured Learning Framework: A clear learning methodology ensures concept clarity through guided practice, applied problem-solving, and project-based training.

• Hands-On Practical Training: Continuous assignments and live projects allow learners to apply concepts in real scenarios and develop strong technical competence.

• Extended Career Portal Access: Long-term access to career resources, job listings, and hiring updates is available even after program completion.

• Support for Career Transitions: Designed for graduates and working professionals, the program helps learners transition smoothly into Data Science, AI, or ML roles.

• Expert-Led Masterclasses: Gain insights from industry professionals through special sessions on emerging technologies and practical applications.

Data science is one of the fastest-growing career fields, and Madhapur, Hyderabad, is emerging as a key hub for technology, analytics, and AI. Enrolling in a Data Science course in Madhapur helps learners gain practical skills required for high-demand roles in analytics, AI, and machine learning.

Key Reasons to Choose a Data Science Institute in Madhapur:

• Rising Demand: Data science expertise is increasingly sought after across industries in Hyderabad, offering diverse career opportunities.

• Strong Career Growth: Roles in data science provide attractive salaries, skill-based growth, and long-term career stability.

• Growing Tech Ecosystem: Madhapur’s IT companies, startups, and analytics firms create a steady demand for skilled professionals.

• Industry-Relevant Skills: Training focuses on real-world applications of AI, machine learning, and data analytics to ensure readiness for professional roles.

• Practical Learning: Hands-on projects, guided mentorship, and applied assignments help learners develop job-ready skills and confidence to succeed in the field.

A Data Science course in Madhapur is suitable for beginners and professionals from diverse backgrounds who want to build, upskill, or transition into data-driven roles.

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

• Graduates and Final-Year Students: Individuals aspiring to start a career in data analytics or data science.

• Working Professionals: Those looking to upskill or move into data-focused roles within their organizations.

• IT and Non-IT Professionals: Professionals interested in leveraging data for smarter business decision-making.

• Business Analysts and Statisticians: Learners aiming to deepen their expertise in machine learning, AI, and advanced analytics.

• Career Switchers: Individuals from domains like finance, marketing, operations, or management seeking to transition into data science roles.

Enrolling in the Data Science Course in Madhapur with upGrad is a simple and guided process, designed to help learners start their learning journey smoothly.  

Follow these steps to apply and begin: 

• Check Eligibility: Candidates should be graduates, final-year students, or working professionals looking to upskill in data science or analytics. 

• Complete the Application: Fill out the online application form with your personal, academic, and professional details. 

• Consult with Learning Advisors: upGrad Learning Consultants will connect with you to review your profile, explain the program, and clarify any queries. 

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

• Start Learning: Gain access to course materials, live sessions, hands-on projects, and learning resources to begin your data science journey in Madhapur. 

Completing a Data Science course in Madhapur equips learners with practical skills in analytics, machine learning, and AI, preparing them for high-growth roles across IT, BFSI, healthcare, e-commerce, and startups. Graduates can confidently build data-driven careers in Hyderabad’s thriving tech ecosystem.

Top Data Science Jobs in Madhapur and Average Salaries:

Sourced By: AmbitionBox

Top Recruiters for Data Science Roles in Madhapur

• Flipkart

• Genpact

• TechMahindra

• KPMG

• Uber