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In today’s data-driven world, the need for skilled data scientists is more critical than ever. Praxis Tech School is at the forefront of this transformation, offering a nine-month, full-time Post Graduate Program in Data Science (PGPDS) with generative AI and machine learning, in Kolkata and Bengaluru.
Through this course, Praxis aims to create resources that will drive India’s digital transformation. The program prepares students for exciting careers in data science and AI by offering a comprehensive curriculum aligned with industry needs and a robust placement program.
Analytics India Magazine has ranked it India’s No.1 Data Science Program for three consecutive years (2021, 2022, and 2023).
As a pioneer in data science education in India, Praxis has been instrumental in shaping the careers of many data professionals. The course offers impressive career outcomes with the highest CTC of ₹21 LPA and an average of ₹13.5 LPA.
Praxis is the only institute in India to have placed over 35 batches of data science students with key recruiters like Accenture, Chubb, EY, Fractal, Genpact, HSBC, ICICI Bank, Landmark Group, L&T, NielsenIQ, Poonawalla Fincorp, PwC, Subex, Tata Metaliks, and Vedanta.
Program Highlights
- Comprehensive Curriculum: Over 550 hours of impactful learning through lectures, case studies, hands-on labs, assignments, and projects.
- Wide Range of Tools and Techniques: Master GenAI, Python, R, SQL, Spark, Tableau, PowerBI, along with statistical, machine learning, and deep learning techniques.
- Industry-Relevant Subjects: Covering marketing, finance, human resources, operations, and more.
- Trimester-Based Learning: The program is structured into three trimesters, each focusing on different aspects of data science.
Learning Outcomes
- Data Management Skills: Learn to source, clean, and transform data.
- Modelling Techniques: Apply these techniques to solve real-world business problems.
- Analytical Skills: Analyse and interpret data, and present results using advanced visualisation techniques.
- Technical Proficiency: Use cutting-edge tools like Python, R, SQL, and Spark, as well as platforms such as Hadoop, TensorFlow, and PyTorch.
- Ethical Awareness: Understand data security, integrity, and privacy issues.
- Teamwork and Leadership: Develop skills to work effectively in teams and lead projects.
Alumni Testimonials
Shivani Sinha, data scientist at Shaadi.com, shares, “Praxis has not only enhanced my analytical skills, but also made me competitive in the field of data science. The support and opportunities provided by Praxis were instrumental in my success.”
Saurabh Sharma, senior data scientist at Valiance Solutions, states, “The curriculum at Praxis is a perfect blend of theoretical and practical approaches, which has helped me solve real-life business problems.”
Sagar Patil, assistant manager, analytics, at Tata Capital, says, “With no prior programming experience, I received perfect guidance and resources at Praxis. The faculty and the placement program are its main strengths.”
Eligibility
Undergraduate eligibility: Graduates with at least 60% in BE/BTech/BSc (with economics/statistics) or any other stream with mathematics/statistics from a recognised or deemed university.
Postgraduate eligibility: Postgraduates with at least 60% in ME/MTech/MSc (with economics/statistics) from a recognised or deemed university or college.
School Eligibility: At least 60% in Class X and XII.
Application Process
The selection process involves the Praxis Aptitude Test (PAT), essay writing, and a personal interview, with due weightage given to the candidate’s academic and corporate performance.
Application Deadline: June 22, 2024.
