placed till date
& 1 integrated Capstone Project
The PG Certificate Program in Data Science and Machine Learning is a Guaranteed Placement Program* that allows learners to master Data Visualization, Statistical Data Analysis, Artificial Intelligence & Neural Networks. This 9-month-long (Live Online sessions on Weekends) Data Science course will enable learners in implementing Machine Learning techniques through Python as the programming language and SQL for data and other relevant tools and techniques. Designed & taught by the best minds in the industry, this immersive Data Science course includes 6 Mini Projects and one integrated Capstone Project, along with real-world case study-based hands-on practice assignments providing Data Science application-oriented learning experience in the Data Science lab equipped with the latest analytics software & applications.
Become an expert in cutting-edge Data Science & Machine Learning tools and techniques with a program designed by Industry Experts from Jigsaw.
9 Months Live Online Sessions On Weekends
The 6 Mini Projects and one integrated Capstone Project, along with real-world case study-based hands-on practice assignments, provide a Data Science application-oriented learning experience in the Data Science lab equipped with the latest analytics software & applications. The purpose of these projects is to equip learners with the Data Science and Machine Learning skills they need to tackle real-life business challenges and provide industry exposure to kickstart their careers in Data Science.
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Here's What Our Alumni Have To Say!
This course by Jigsaw is the best option for someone who wants to pursue a career in Data Analytics. It's a good course with a highly experienced teaching faculty.Read More
I recently finished this Data Science program from Jigsaw & got placed in one of my dream companies, Equifax!Read More
This program is amazing for those candidates who want a career transition or who are looking to start their career in the field of analytics. It's best to focus on the curriculum they made, and if you follow it strictly you will definitely have a good job just the way I did.Read More
As a JS developer I was making a modest salary in a stagnant role and I wasn't excited about my prospects. With this course, I got a 86% hike.Read More
As a BBM Graduate, I had almost accepted that I can never get into Analytics but this program didn't just bring me in my dream job but also enabled me to get a salary hike of 110%.Read More
Even with a B.E in E&C, I knew that I needed a specialization to make a mark. I opted for an online course & soon realized it won’t be enough. But this program with hackathons, datathons & industry interactions truly gave me my edge. And today, I’m with Amazon.Read More
Even during the pandemic, the placement team worked really hard to bring companies in. It was a big transition for me from the networking domain to this Data Science world but I finally got selected as a Business Consultant Intern at Eversana.Read More
The placement process started in the second term of the program & many Data Science-based companies like Equifax, dhiOmics & Fractal Analytics came to hire learners across several roles like Data Science Consultants, Data Analysts, Machine Learning Scientist, etc. I’m happy I got placed in Equifax & am thrilled to start my Data Science journey.Read More
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Interested students will have to fill up an online application form. Those who match the eligibility criteria will have to undergo an online assessment test depending upon their graduation streams and programming knowledge. Candidates clearing the assessment successfully may undergo a video call-based interview. More details regarding the selection procedure will be updated soon.
Here are the eligibility criteria for the program:
– Freshers who’ve graduated with 50% and above marks from a recognized institute/ university with either mathematics, statistics, or programming as a subject in a qualifying degree can apply.
– Candidates who’ve graduated in 2021 (with or without prior work experience) can apply.
– Aspirants who’ve graduated between 2018 and 2021, with at least 1 year of work experience, can apply
– Aspirants with up to 4 years of work experience can also apply
Note: Applicants who’ve graduated before 2018 will only be eligible for placement assistance.
Jigsaw Placement Guarantee* is provided for the learners of the PG Certificate Program in Data Science & Machine Learning facilitated by Jigsaw. As per the 100% guaranteed placement* feature, every learner who has successfully completed and fulfilled the academic requirements of the Post Graduate Certificate Program in Data Science & Machine Learning from Jigsaw and strictly adhered to the program’s disciplinary norms will be provided with at least 3 job opportunities. By the end of the program, there would be additional 3 months within which the job opportunities shall be provided to all the eligible learners.
A learner is eligible for the Jigsaw Placement Guarantee* only if they fulfill the following prerequisites:
While Jigsaw provides Placement Guarantee* to all the learners of the PG Certificate Program in Data Science & Machine Learning (subject to meeting the eligibility criteria), the selection of a learner and final recruitment decision will be made by the partner organization at their sole discretion. It will be binding between the learner and the partner organization. Additionally, the designation, compensation, role, place of work, terms & conditions of the placement letter, or employment letter are the prerogative of the placement partner, and the Academy is not responsible for the same.
A Placement Opportunity is defined as being shortlisted by a placement partner for the selection process, which may include but is not limited to interviews, coding assessment, or other written and verbal assessments. A learner shall be considered to have been provided a Placement Opportunity if they are shortlisted for an interview, even though the student fails to appear for the interview or does not submit any other assessment required as part of the Placement Opportunity.
Any learner who applies and gets shortlisted for a placement opportunity must go through the entire selection process unless rejected midway by the partner organization. Any deviation from this will result in the learner being ineligible for the Jigsaw Placement Guarantee*. However, suppose they face an unavoidable situation amid the hiring process, because of which the learner cannot proceed further with the hiring process, the student must inform the same by sending an email communication to the Program Coordinator, explicitly mentioning the reason for skipping the opportunity. If the student fails to do so, it will result in the learner being ineligible for the Jigsaw Placement Guarantee*.
If a learner simultaneously appears for an interview for two partner organizations, they will have to accept the offer from the partner organization that provides the offer first. Our placement team will inform the latter partner organization that the student has already been placed and that they should not be considered further.
A learner is considered as placed and not eligible for any further placement opportunity:
A learner is not eligible for the Jigsaw Placement Guarantee* in the below-mentioned circumstances:
The assessments will be conducted as follows:
The details regarding the test login credentials and the instructions for taking the tests will be communicated to the applicants via mail within a few days of receiving the completed application form. The applicants can take the tests at their locations as per their time convenience within the specified test window duration.
This PG Certificate Program in Data Science and Machine Learning is spread over 9 months.
Yes, there will be assessments, scores and grading for the courses conducted.
Each student enrolled in the PGCP-DSML program is eligible to receive Placement Assistance. If a learner does not meet the Guaranteed Placement criteria, we will aim to offer them 3 placement opportunities as Placement Assistance. However, they will not receive the stipend of INR 20,000 per month for the next 3 months.
Suppose any learner fulfills the Guaranteed placement criteria but doesn’t receive the 3 placement opportunities by the end of the 9-month program; In that case, they will receive a stipend of INR 20,000 per month for the next 3 months.
However, the following learners are not eligible for a stipend of INR 20,000 per month for the next 3 months:
Refunds will be processed according to our Refund policy.
The Program fee for the PG Certificate Program in Data Science and Machine Learning may be paid in 3 equal installments or as a lump sum at the start of the program. Please contact our academic counselors for more details.
Yes, we have industry experts and corporate partners who play an active role in designing the program curriculum, learning interventions, internships, and placements.
Each learner gets a minimum of three opportunities with hiring companies. An opportunity will be defined as a test or an interview with a company that is interested in it.
The PG Certificate Program in Data Science and Machine Learning is an online instructor-led program that can be accessed anywhere.
Machine Learning is one of the leading spaces of Artificial Intelligence. It helps computers to get into a self-learning mode without the need for any new external programming every single time. By implementing Machine Learning computers are taught to understand, grow and develop by themselves when they are fed with new data. Implementing Machine Learning in Data Science is to basically automate the process of Data Analysis and enable the process of making data-informed predictions in real-time without any human intervention. A Data Model is developed and trained to make real-time predictions. This is how the Machine Learning Algorithms are implemented in the Data Science
Organizations today are more data-driven than ever before. They tend to collect large amounts of raw data for processing and analyzing trends. Data Science is a domain that deals with the processes and systems that extract information from both structured and semi-structured data. Machine Learning on the other hand is the domain that enables computers to learn without the need for explicitly programming every time. Data Science and Machine Learning are intertwined through the process where machine learning enables systems to automatically process data to identify new trends without external programming.
The major difference between Data Science vs Machine Learning lies in their basic applications. Data Science deals with collecting and analyzing data for newer trends. While Machine Learning is primarily concerned with the group of tools and techniques used by data scientists that allow computers to learn from data.