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Learn Data Science, Python, Machine Learning, and AI.
Designed for beginners and working professionals in Kothrud, Pune.
Build job-ready skills for high-demand Data Science roles.
Placement Assistance
100%
Average Salary Hike
50%
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In the Data Science Course in Kothrud, you will learn Data Science, Python, Machine Learning, and Artificial Intelligence from the basics to advanced levels. The course includes hands-on projects, real-world case studies, and practical assignments. You will also gain experience with tools like SQL, Python, Tableau, and Power BI. The training is designed to make you job-ready for data-driven roles.
This course is suitable for college students, fresh graduates, and working professionals with 0–2 years of experience. Both IT and non-IT backgrounds are welcome. The structured learning path helps beginners build strong fundamentals. Career switchers can also transition into data-driven roles smoothly.
The upGrad Offline Learning Support Centre is located at No. 502, Kotibhaskar Business Court, opposite Karishma Complex, Kothrud Industrial Area, Pune. The location is easily accessible within Kothrud. The centre provides a focused classroom learning environment. It supports learners with offline academic and career guidance.
The course follows a blended learning model with classroom and online support. Learners attend offline mentoring sessions at the Kothrud centre. They also get access to structured online content for flexible learning. This approach ensures continuous guidance and better concept clarity.
Yes, the course strongly emphasizes hands-on technical learning. Learners work with real-world datasets, assignments, and applied exercises. Practical projects help learners apply concepts in real business scenarios. This approach builds confidence and job-ready technical skills.
The syllabus covers SQL, Python, Data Visualization, Machine Learning, and Generative AI. It starts with preparatory foundations like math, logic, and Excel. Learners then progress to advanced topics such as NLP and neural networks. The curriculum is structured for gradual skill development.
No prior programming experience is mandatory. The course starts with foundational programming logic and Python basics. Beginners are guided step by step through concepts. This makes the program accessible to learners from non-technical backgrounds as well.
Learners gain hands-on experience with SQL, Python, NumPy, Pandas, Tableau, and Power BI. The course also introduces machine learning and AI concepts. These tools are widely used in the data science industry. Tool exposure helps learners become industry-ready.
Yes, the course includes business-focused case studies and industry-driven projects. These projects simulate real-world data challenges. Learners apply concepts to solve practical problems. This improves problem-solving skills and real-world understanding.
The course offers expert-led mentorship sessions by industry professionals. Mentors help learners understand complex concepts and solve doubts. Personalized guidance is provided throughout the program. This ensures better learning outcomes and confidence building.
Yes, Pay After Placement is one of the major USPs of the course. Learners can start the program without upfront fees. Payment is required only after securing a job through placement support. This reduces financial stress during the learning phase.
Learners receive comprehensive career readiness support. This includes aptitude training, resume building, LinkedIn profile evaluation, and interview question banks. Mock interviews and GD preparation are also included. The goal is to make learners job-ready.
Yes, the course offers structured placement assistance. Learners get exposure to a wide hiring partner network. Placement support includes interview preparation and job opportunity alerts. This increases chances of securing relevant data science roles.
After completing the course, learners can apply for roles such as Data Scientist, Data Analyst, Machine Learning Engineer, and AI Engineer. Business Intelligence Analyst roles are also suitable. These roles are in high demand across Pune’s tech ecosystem. Salary potential is competitive.
Average salaries vary by role and experience. Data Scientists can earn around INR 14.8 LPA, while AI Engineers earn up to INR 12.6 LPA. Data Analysts earn around INR 7 LPA. Salary data is sourced from AmbitionBox.
Top recruiters include Flipkart, Genpact, Tech Mahindra, KPMG, and Uber. Pune’s strong IT and startup ecosystem creates steady demand. Analytics roles are available across industries. Learners benefit from exposure to diverse hiring opportunities.
Yes, the course is designed for working professionals as well. The blended learning model offers flexibility. Offline mentoring combined with online modules helps manage work and study. Career transition support is also provided.
Yes, soft skills training is an important part of the program. Learners improve communication, presentation, and professional confidence. These skills are essential for interviews and workplace success. Soft skills complement technical expertise.
The centre operates from 10 am to 8 pm. Learners can visit during these hours for academic support and guidance. The timings are suitable for students and professionals. Learning advisors are available during working hours.
To enroll, check eligibility and complete the online application form. A learning advisor will contact you for guidance. After receiving an offer letter, confirm admission based on seat availability. Once enrolled, you can start learning immediately.
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