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Learn Python, Machine Learning, AI, and Business Analytics.
Designed for beginners and working professionals in Jayanagar.
Build job-ready skills for high-demand Data Science and Analytics roles.
Placement Assistance
100%
Average Salary Hike
50%
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The Data Science course in Jayanagar is designed to teach learners data analysis, Python, machine learning, and AI. The program focuses on building practical and job-ready skills. It combines classroom mentoring with hands-on learning. Learners work on real-world projects to gain industry exposure. The course prepares students for high-demand data roles.
The course is open to graduates, final-year students, and working professionals. Applicants with 0–2 years of work experience are eligible to apply. Both IT and non-IT background learners can join the program. No prior coding experience is required. The course starts from basic concepts.
Yes, this course is beginner-friendly and starts with a foundation module. Learners are introduced to math, logic, and basic programming concepts. The course gradually moves to advanced topics like machine learning and AI. Mentors provide continuous guidance during learning. This helps beginners gain confidence step by step.
The syllabus covers SQL, Python, data visualization, machine learning, and generative AI. Learners also study statistics and business problem-solving concepts. Tools like Tableau and Power BI are included in the course. Real-world assignments and projects are part of the learning process. A capstone project is completed at the end.
Yes, the course strongly emphasizes hands-on practical learning. Learners work on assignments, labs, and industry-based projects. Real datasets are used to practice analysis and modeling. This approach helps learners apply theory to real scenarios. Practical learning builds strong job-ready skills.
The program offers full career support to help learners get job-ready. This includes resume building and LinkedIn profile evaluation. Learners also receive aptitude training and interview preparation support. Mock interviews are conducted with expert feedback. These services improve confidence and employability.
Yes, eligible learners can choose the Pay After Placement option. This allows students to begin the course without paying upfront fees. Payment is required only after securing a job through placement support. This reduces financial pressure during learning. Learners can focus fully on building skills.
The centre is located at SS Plaza, 30th Cross Road, Jayanagar, Bangalore. It is near Uthayam and easily accessible by public transport. The location offers a comfortable classroom learning environment. Learners can attend mentor-led sessions at the centre. Offline academic support is provided regularly.
The upGrad Learning Support Centre in Jayanagar operates from 10 am to 8 pm. These timings are suitable for students and working professionals. Batch schedules may vary based on availability. Learners can choose sessions that fit their routine. The centre offers flexible learning support.
Yes, learners receive structured placement assistance after course completion. This includes job alerts and access to hiring partners. Interview preparation and mock interview sessions are also provided. Placement support helps learners apply confidently for jobs. Final placement depends on individual performance and eligibility.
Learners will work with tools such as Python, SQL, Excel, Tableau, and Power BI. These tools are commonly used in data science roles. Machine learning libraries and AI concepts are also covered. Practical sessions focus on tool usage. This helps learners gain industry-relevant technical skills.
Yes, the program includes mentor-led classroom mentoring sessions. Experienced industry professionals guide learners during training. Learners can ask questions and clarify doubts in real time. Mentors also provide feedback on assignments and projects. This improves learning outcomes significantly.
Yes, soft skills training is part of the Data Science course. Sessions focus on communication, presentation, and professional behavior. These skills are important for interviews and workplace success. Group discussions and mock interviews are also included. This helps learners become confident professionals.
The duration of the course depends on the selected batch and learning pace. It usually spans several months with structured sessions. Learners complete assignments and projects during the program. Mentor support is available throughout the course. The pace is suitable for both students and professionals.
Yes, learners work on real-world projects and case studies. These projects are based on real business problems. They help learners understand industry requirements better. Projects also improve problem-solving skills. This practical exposure strengthens job readiness.
After completing the course, learners can apply for roles like Data Analyst and Data Scientist. Other roles include Machine Learning Engineer and BI Analyst. The course prepares learners for analytics and AI positions. Job roles depend on skills and experience. Bangalore offers strong opportunities in these fields.
Yes, learners get access to 1:1 mock interview sessions. These interviews simulate real hiring scenarios. Experts provide detailed feedback on performance. This helps learners identify strengths and improvement areas. Mock interviews increase interview confidence.
Yes, the course is designed to suit working professionals. Flexible learning schedules and blended support make it manageable. Learners can plan study time around work hours. Mentor guidance helps with time management. Many professionals successfully complete the course while working.
Regular attendance is recommended to gain maximum benefit from the program. Classroom sessions help in better understanding of concepts. Learners can interact with mentors and peers. Attendance also helps maintain learning consistency. Specific attendance rules may vary by batch.
To enroll, learners must submit an online application through upGrad. A learning advisor will review eligibility and explain the program. An offer letter is shared based on availability. Learners can confirm admission by completing the process. After enrollment, learning access is provided.
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 .
Certification
4-6 Months