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Data is an integral part of any modern business. Collating, understanding and analysing data helps you build winning strategies which begets happier customers, stronger growth and content employees. Even in the current climate, the demand for data science professionals is at an all-time high.
The Indian Institute of Technology, Palakkad, in collaboration with Emeritus, has designed the Professional Certificate Programme in Applied Data Science. With a focus on upskilling the participant on Python, the world’s #1 programming language, and Data Engineering, this programme is curated for professionals interested in building a career in Data Science. This is a unique programme which will build your expertise through concepts and real-world cases. This will upgrade your resume and propel your career to new heights.
Please note:
saw a huge demand for data science jobs with as many as 2,50,000 being vacant.
92% organisations report that their pace of Big Data / Al investment is accelerating, up 40% from 2020.
The Data Science and Analytics industry is expected to be worth 16 billion USD.
4 Office Hours
with Industry Experts
65 Recorded
Video Lectures
12 Assignments* and
12 Discussions
1 Project
and 24 Quizzes
Peer Learning
and Feedback
Dedicated
Programme Support
26-week programme.
4-6 hours of weekly learning effort
4 Office Hours
with Industry Experts
65 Recorded
Video Lectures
12 Assignments* and
12 Discussions
1 Project
and 24 Quizzes
Peer Learning
and Feedback
Dedicated
Programme Support
26-week programme.
4-6 hours of weekly learning effort
Note: The final number of quizzes, assignments and discussions will be confirmed closer to the programme start.
*Assignments are graded either by industry practitioners who are available to support participants in their learning journey and/or by the Emeritus grading team.
Beginner to advanced level
data analysis and visualization
Duration
Assignments
Use Cases
Assessments
Note:
- All product and company names are trademarks or registered trademarks of their respective holders. Use of them does not imply any affiliation
with or endorsement by them.
- The final number of quizzes, assignments and discussions will be confirmed closer to the programme start.
- *Assignments are graded either by industry practitioners who are available to support participants in their learning journey and/or by the
Emeritus grading team.
Note: It is recommended that learners have practical knowledge of the basics of linear algebra and coding
Assistant Professor, Computer Science and Engineering
Indian Institute of Technology Palakkad
Dr Satyajit is one of the founding members of the Center for Research and Education in Data Science (CREDS) and Lab for Advanced VLSI and Artificial Intelligence (LAVA) at IIT Palakkad. He earned his joint Ph.D. degree from the University of South Brittany, France, and the University of Bologna, Italy. His research interests are Computer Architecture, AI on Edge, and near-sensor Data Analytics.
Assistant Professor, Computer Science & Engineering
Indian Institute of Technology Palakkad
Dr. Mrinal Das works in the area of building hierarchical Bayesian models with applications in various domains. He is also actively working in privacy aware learning. His recent area of interest has been in Responsible AI, specially at the intersection of interpretability and deep learning. He obtained a PhD degree in Machine Learning from Indian Institute of Science (IISc) Bangalore in 2016. He was a postdoctoral fellow at Aalto University, Finland and UMass Amherst, USA before joining IIT Palakkad as Assistant Professor in the CSE department in 2017. He has published in top notch venues in ML such as ICML(2), AAAI, ICDM, CIKM, WSDM. He is currently supervising one PhD and two MS students in the area of ML. He has received SERB startup research grants in 2019 to work in ML. He has developed and taught several courses in the area of Data Science for the last four years. He is also actively associated with the Govt. of Kerala for training students in the domain of data science.
Assistant Professor, Computer Science and Engineering
Indian Institute of Technology Palakkad
Dr. Sahely serves as an Associate with the Centre for Research and Education on Data Science (CREDS). She received her PhD from the Indian Institute of Science (IISc) Bangalore. She has more than 10 years of experience working in the broad area of Machine Learning and Optimisation. Her areas of interest lie in multi-view kernel learning from noisy incomplete data with structural properties and extreme event analysis in time series data. Dr. Sahely has published in top venues in ML and bioinformatics such as ICML, JMLR, MLJ, ICDM, Bioinformatics.
Certificate of completion will be awarded to participants who secure a minimum of 40% marks in the end-semester evaluation.
Note: All certificate images are for illustrative purposes only and may be subject to change at the discretion of IIT Palakkad.
Erulearning Solutions Private Limited (a company incorporated in India) is a subsidiary of Eruditus Learning Solutions Pte Ltd (a company incorporated in Singapore), and operates under the brand name of 'Eruditus' and 'Emeritus'.