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INTRO VIDEO
Professional Certificate Program in Data Science for Business Decision Making introduces difficult concepts of data science and machine learning algorithms in a simple format with special emphasis on real-world business applications.
- Prof. C Raju, Quantitative Methods and Operations Management
Best-in-class content by leading faculty and industry leaders in the form of videos, cases and projects.
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One-on-one sessions with industry mentors, access to all required softwares and tools, 3 projects and a Capstone to ensure you are up-to-date with the industry.
Learn from experts in 1:1 career counselling sessions and fast forward your career.
Best-in-class content by leading faculty and industry leaders in the form of videos, cases and projects, assignments and live sessions.
IPL Analysis using Tableau & Data Storytelling Assignment
Use all the skills learnt in statistics and regression to build a predictive regression model.
Solve a real-industry problem using the classification and model selection techniques.
There are 3 simple steps in the Admission Process which is detailed below:
Complete your application to take the 30 minutes online eligibility test with 15 questions to kickstart the admissions process. The test is designed to access your quantitative skills, logical aptitude and verbal English to ensure you're ready for the program.
Upon qualifying, an offer letter will be sent to you confirming your admission to the Professional Certificate Programme in Data Science for Business Decision Making.
Block your seat with a payment of INR 20,000 to enroll into the programme. Get assistance from our loan partners for the fees. Begin with your Prep course and start your Data Science journey!
*Referral offer is valid only on the Professional Certificate Program in Data Science for Business Decision Making.
The Programme is an engaging yet rigorous 8-month online program designed specifically for managers and working professionals to develop practical knowledge and skills, establish a professional network, and accelerate their careers. The certification is awarded by IIM Kozhikode.
Expect to understand formulation of data science problems, the actual algorithms that are used, and how data is presented to help take important business decisions. The curriculum consists of live sessions, expert coaching sessions and projects making you a skilled data science manager at par with leading industry standards.
The programme is NOT going to be easy. It will be requiring at least 8-10 hours of time commitment per week, applying new concepts and executing industry relevant projects.
The curriculum will consist of the following courses:
Course 1: Pre-Program Preparatory Content
Course 2: Business Problem Solving, Insights and Storytelling
Course 3: Statistics & Machine Learning
Course 4: DS Strategy - Becoming a data evangelist
Course 5: Capstone Project
The content will be a mix of interactive lectures from industry leaders as well as world-renowned faculty. Additionally, the program comprises live lectures or hangout sessions dedicated to solving your academic queries and reinforcing learning. Offline upGrad BaseCamps will also facilitate peer-to-peer interactions.
Post successful completion of the programme, a Certification of completion for Professional Certificate Programme in Data Science for Business Decision Making would be granted from IIM Kozhikode.
At least 8-10 hours per week of time commitment is expected to be able to graduate from the programme.
Preparatory Support: Mentoring on how to make the best resume for a data professional, highlighting technical and domain expertise. Data Science interview preparation and interview mentoring by industry experts.
Access to Opportunities: Profiles of students will be circulated in upGrad's network of companies. For learners with 5+ years of experience, it becomes more difficult to convert these opportunities than others. For them, it's more about how to inculcate data-driven leadership in the current job and plan a transition into Data analytics or Data Science in the medium-to-long run.
Peer-to-peer discussion forum where you can post your queries and your peers/faculty/teaching assistants answer your queries within a day. Regular Q&A sessions with faculty to get clarification on conceptual doubts.
The programme is priced at INR 1,77,000 (incl. taxes).
TABLE-A
S No | Point of time when notice of withdrawal of admission is served to the University or to upGrad | Percentage of Refund |
1. | At least 15 day before the commencement of the Programme | 100% [subject to deduction of Rs. 5,000/-] |
1.3 | Less than 15 days but before the commencement of the Programme | 70% |
1.5 | After commencement of Programme | No refund |
No cost EMI is available on credit cards from all major banks (American Express, Bank of Baroda, HDFC Bank, ICICI Bank, IndusInd Bank, Kotak Mahindra Bank, RBL Bank, Standard Chartered, Axis Bank, Yes Bank)
If you are availing 0% credit card EMI, upGrad will not charge any processing fees or down payment for these transactions. Your bank may levy GST or other taxes on the interest component of the EMI.
Certain banks charge nominal processing fees between INR 99 - 500 on 0% Credit Card EMI transaction. If charged will be billed in the first repayment installment.
Only the Indian bank Credit cards can be used. But you can pay the amount using the Credit card option in one shot / part payments and later you can convert into EMI from your respective bank. The tenures and interest charged will depend on your bank. upGrad will not charge any processing fees or down payment for these transactions, this will be purely between you and your bank.
Yes, there will be additional charges to the extent of interest paid by the upGrad to the bank, you will be refunded only Principal amount, i.e. the amount actually deducted/blocked from your card. This deduction will be in addition to the amount mentioned in the refund policy shared with your offer letter.
You can pay the amount using the Credit card option in one shot / part payments and later you can convert into EMI from your respective bank. The tenures and interest charged will depend on your bank. upGrad will not charge any processing fees or down payment for these transactions.
If you like finding meaningful insights from data and if you get excited by the prospect of taking informed business decisions through analysis and have an analytical bend of mind, then this programme is meant for you. As long as you are able to clear the selection test (or are exempt) this programme is meant for you.
Absolutely! Data Science is becoming a necessity for all industries and is no more a choice. Hence, there is a critical demand for quality data professionals and because the supply is constrained, this is one of the most lucrative career options across industries.
You can start the application process by submitting the application. Applications have already started for the next cohort.
Step 1: Complete Your Application- Complete your application to take the 30 minutes online eligibility test with 15 questions to kickstart the admissions process. The test is designed to access your quantitative skills, logical aptitude and verbal English to ensure you're ready for the program.
Step 2: Get Shortlisted & Receive your Offer Letter- Upon qualifying, an offer letter will be sent to you confirming your admission to the Professional Certificate Programme in Data Science for Business Decision Making.
Step 3: Block your Seat & Begin the Prep Course- Block your seat with a payment of INR 20,000 to enroll into the programme. Get assistance from our loan partners for the fees. Begin with your Prep course and start your Data Science journey!
To be eligible for the program, the following criteria needs to be met:
College Degree: The applicant should have a bachelor's degree in any field with a minimum of 50% marks for Male Applicants and 40% marks for Female Applicants
Work Experience: The applicant should have 1 year of professional experience.
Proficiency in Mathematics: The applicant should have sufficient proficiency in Mathematics. The applicant should have studied Mathematics at a Higher Secondary Level, or in Graduation / Post-Graduation.