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Build strong skills using Python, SQL, Excel, and data visualization tools
Designed for beginners, graduates, and working professionals in Belagavi
Develop practical, job-ready skills for high-growth careers
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The Data Analytics Course in Belagavi is designed to help learners understand how to work with data and make meaningful business decisions. The course covers tools like Excel, SQL, Python, and data visualization. It focuses on practical learning through real datasets and projects. The goal is to make students job-ready for analytics roles.
This course is open to college students, fresh graduates, and working professionals. Learners from both IT and non-IT backgrounds can join. No prior experience in data analytics is required. The course starts from basic concepts and gradually moves to advanced topics.
Yes, the course is beginner-friendly and follows a step-by-step learning approach. Concepts are explained clearly with examples and practice exercises. Mentors provide guidance to help learners understand difficult topics. Beginners can comfortably build strong fundamentals in data analytics.
Students learn industry-standard tools such as Excel, SQL, Python, and data visualization tools. These tools are widely used by data analysts across industries. The training focuses on practical usage rather than only theory. Learners gain hands-on experience through assignments and projects.
Yes, the course strongly focuses on practical and hands-on learning. Learners work on real datasets, live assignments, and case studies. This helps them understand how data analytics works in real business scenarios. Practical training builds confidence and job-ready skills.
The course duration varies based on the learning plan selected. It generally includes structured classroom sessions along with guided online learning. Learners can balance their studies with work or college schedules. Course advisors provide full details during enrollment.
Yes, learners can attend offline classroom sessions at the upGrad Learning Support Centre in Belagavi. Classroom learning allows direct interaction with trainers and mentors. It also encourages discussions and better concept clarity. Offline support is combined with online learning resources.
The learning support centre is located at F7, Sairaj Empire, Roy Rd, Shivaji Colony, Tilakwadi, Belagavi. The location is easily accessible and convenient for learners. The centre provides a focused classroom learning environment. Learners can visit the centre during working hours.
The learning centre operates between 10 am and 8 pm. Class schedules are designed to suit both students and working professionals. Flexible learning options help learners manage their daily commitments. Exact batch timings are shared during enrollment.
Yes, the course includes strong career support services. Learners receive help with resume building, LinkedIn profile optimization, and interview preparation. Mock interviews and practice sessions are also conducted. The goal is to prepare learners for real job interviews.
The Pay After Placement option allows learners to focus on learning without immediate financial pressure. Students can pay the course fee after securing a job. This option makes the course more accessible for many learners. Details are explained clearly by course advisors.
Yes, learners receive expert guidance to create professional resumes. Support is also provided to improve LinkedIn profiles for better job visibility. These sessions help learners present their skills effectively. A strong profile increases chances of getting interview calls.
Yes, the course includes one-on-one mock interview sessions. These interviews help learners understand real interview patterns. Mentors provide feedback on performance and areas for improvement. Mock interviews help build confidence and reduce interview fear.
Yes, the course is ideal for professionals planning a career switch into data analytics. It covers both technical and business concepts from scratch. Career guidance helps learners understand new job roles. Many learners from non-technical backgrounds successfully transition into analytics roles.
Data analytics professionals are hired across industries such as IT services, finance, healthcare, retail, and manufacturing. Startups and growing businesses also require data analysts. The demand for data-driven decision-making is increasing. This creates strong job opportunities for trained professionals.
After completing the course, learners can apply for roles such as Data Analyst, Business Analyst, Operations Analyst, and Data Executive. These roles involve working with data, reports, and dashboards. Career support helps learners understand job responsibilities. Placement guidance improves job readiness.
Average salaries depend on job role, skills, and experience level. Data Analysts can earn around INR 12.4L annually, while Business Analysts earn about INR 10L. Entry-level roles may start lower and grow with experience. Salaries improve as skills and expertise increase.
Top recruiters include companies like Flipkart, Genpact, Tech Mahindra, KPMG, Uber, and ZS. Many analytics and consulting firms hire trained professionals. Hiring partners vary based on skills and job availability. Career support helps learners connect with recruiters.
The enrollment process is simple and guided. Learners need to fill out an application form and share basic details. Course advisors then review the profile and explain the learning structure. Admission is confirmed based on eligibility and seat availability.
This course offers practical training, expert mentorship, and strong career support. Learners gain hands-on experience with industry tools and real projects. Flexible learning options make it suitable for different backgrounds. It is a strong choice for building a long-term career in data analytics.
The above statistics depend on various factors and individual results may vary. Past performance is no guarantee of future results.
The student assumes full responsibility for all expenses associated with visas, travel, & related costs. upGrad does not .

4 Months
₹99,999