FormatOnline
12-15 hours/week 31 Weeks
Start DateComing Soon
Capstone Project1
Starting at INR 4,881 /monthEMI Options Available
Get Positive Career Growth5 out of 6 Learners

    Program Overview

    Key Highlights

     300+ Hours of Learning
    300+ Hours of Learning
    20+ Case Studies and Assignments
    20+ Case Studies and Assignments
    50+ Hours of Live Sessions
    50+ Hours of Live Sessions
    Professional Certificate Program from University of Maryland's Robert H. Smith School of Business
    Professional Certificate Program from University of Maryland's Robert H. Smith School of Business
    Graded Assessments Every Module
    Graded Assessments Every Module
    12-15 Hours/Week of Learning
    12-15 Hours/Week of Learning
    1 Capstone Project
    1 Capstone Project
    Option to articulate to Executive Post Graduate Program in Data Science and Business Analytics
    Option to articulate to Executive Post Graduate Program in Data Science and Business Analytics

    "Our aim is simple: We strive to create high-impact, hands-on experiences that prepare students for meaningful and productive careers.”

    - Ronnie Screwvala, Co-Founder, upGrad

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    Syllabus

    Best-in-class content by leading faculty and industry leaders in the form of videos, cases and projects.

    Download Syllabus

    About the Program

    Hands-on Capstone Projects

    Hands-on Capstone Projects

    Choose your own sector for the project (Tech, E-commerce, BFSI, Healthcare, Retail, to name a few)

    Student Support

    Student Support

    Student support is available all day for your convenience (24*7) For urgent queries, use the Call Back Option on the platform.

    Dedicated Career Assistance

    Dedicated Career Assistance

    Receive 1:1 career counselling sessions and access to job portals.

    Top Skills You Will Learn:
    Statistics, Predictive Analytics using Python, Machine Learnview more
    Job Opportunities:
    Data Analyst, Data Scientist, Financial Analyst, Management view more
    Who Is This Program For?
    - Software Engineers who wish to enter DS
    - Mid Level IT
    view more
    Minimum Eligibility
    The program design and curriculum assumes an undergraduate eview more

    Programming Languages and Tools Covered

    Professional Certificate Program in Data Science and Business Analytics
    On successful completion of the Program, you receive a verified certificate from University of Maryland's Robert H. Smith School of Business
     Professional Certificate Program in Data Science and Business Analytics
    Click to zoom
    • Showcase your certificate from a globally recognized university
    • Get a chance to network with Maryland Smith's faculty, industry experts and peers during the course
    • Gain demonstrable hands on skills in data science and business analytics

    Instructors

    Learn from Maryland Smith's leading Data Science faculty and industry leaders

    Syllabus

    Best-in-class content by leading faculty and industry leaders in the form of videos, cases and projects, assignments and live sessions. 

    Download Brochure
    300+
    Hours of learning
    20+
    Case Studies & Assignments
    30+
    Live Sessions

    Preparatory Content

    • Data Analysis in Excel

    Data Science Toolkit

    10 Weeks
    • Introduction to the program
    • Introduction to DS Landscape
    • Python Programming Essentials I - Variables, Expressions, and Control Statements
    • Python Programming Essentials II - Functions and Data Structures
    • Python Libraries for Data Science - NumPy
    • Python Libraries for Data Science - Pandas
    • Python Assignment (2 weeks)
    • Data Analysis using SQL
    • Practical Data Considerations: Data Cleaning and Preparation
    • Course Project: Python

    Statistical Analysis & Visualisation

    11 Weeks
    • Exploratory Data Analysis
    • Visualization in Python
    • Visualisation using Tableau
    • Data Storytelling
    • Visualisation and Storytelling Assignment
    • Inferential Statistics
    • Hypothesis Testing
    • Designing Business Experiments
    • Course Project: Statistics

    Machine Learning

    8 Weeks
    • Introduction to Linear Regression in Explanatory & Inferencing Setting
    • Linear Regression in a predictive setting
    • Introduction to Classification: Logistic Regression
    • Evaluation methods in Classification Models
    • Model Selection & Practical Consideration around Modelling + KNN
    • Decision Tree Models
    • Assignment
    • Unsupervised Learning: Clustering

    Capstone 1

    2 Week
    • Capstone 1

    Industry Projects

    Learn through real-life industry projects sponsored by top companies across industries

    The upGrad Advantage

    Strong hand-holding with dedicated support to help you master Data Science
    benefits

    Student Support Team

    Student Support Team
    Student Support
    • Student Support available all day for your convenience (24*7)
    • For urgent queries, use the Call Back option on the platform.
    benefits

    Q&A Forum

    Q&A Forum
    Q&A Forum
    • Timely doubt resolution by peers and Teaching Assistants on the Q&A forum
    • Personalized feedback on assignments and case studies
    benefits

    Expert Feedback

    Expert Feedback
    Expert Feedback
    • Personalized expert feedback on assignments and projects
    • Regular live sessions by experts to clarify concept-related doubts
    benefits

    Industry Networking

    Industry Networking
    Industry Networking
    • Live sessions by experts on various industry topics Group discussions
    • One-on-one discussions and feedback sessions with industry mentors

    upGrad students work at

    Admission Process

    There are 3 simple steps in the Admission Process which is detailed below:

    Program Fees

    ₹ NaN (incl. taxes)*

    View Plans
    *The credit facility is provided by a third party credit facility provider and any arrangement with such third party is outside upGrad's purview.

    Empowering learners of tomorrow

    upGrad Learner Reviews

    Start Referring

    Refer someone you know and receive Gift Voucher worth INR 3,000!*

    *More details under the referral policy under Support Section.

    - Based on upGrad NPS response data obtained from ~1252 learners, between 2nd Oct'21 to 18th Oct'21 for upGrad courses*. The review was performed by Deloitte Touche Tohmatsu India LLP. upGrad is a platform to facilitate program delivery by educational institutions and is not a college or a university itself. *programs.upgrad.com/disclaimer_courselist.

    - *T&C apply. Please refer to the FAQ section for detailed T&Cs, eligibility criteria and other important information on this.

    - Case studies are representative and subject to change based on faculty inputs

    Frequently Asked Questions

    Course Curriculum

    What is the Professional Certificate Program in Data Science and Business Analytics with upGrad?

    The Program is an engaging yet rigorous 31 weeks 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 the University of Maryland's Robert H. Smith School of Business.

    What should I expect from the Professional Certificate Program in Data Science and Business Analytics?

    Expect to understand formulation of data and business analytics 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 professional at par with leading industry standards.

    What should I NOT expect from the Professional Certificate Program in Data Science and Business Analytics?

    Learners will not be able to derive the most out of the program unless they are committed and focused. It will be requiring at least 12-15 hours of time commitment per week, applying new concepts, and executing industry-relevant projects.

    Which topics are going to be covered as part of the program?

    The curriculum will consist of the following courses:

    Course 1: Pre-Program Preparatory Content

    Course 2: Data Science Toolkit

    Course 3: Statistical Analysis & Visualization

    Course 4: Machine Learning

    Course 5: Capstone

    What type of learning experience should I expect?

    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.

    Is any certification granted at the end of the program?

    Post successful completion of the program, a Certification of completion for Professional Certificate in Data Science and Business Analytics would be granted from the University of Maryland's Robert H. Smith School of Business. 

    Time Commitment

    What is the time commitment expected for the program?

    At least 12-15 hours per week of time commitment is expected to be able to graduate from the program.

    Career Prospects and Support

    How will my doubts/questions be addressed in an online program?

    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.

    What career prospects does this program help me with?

    Job opportunities like Data Analyst, Data Scientist, Financial Analyst, Management Analyst/Consultant, Market Researcher, Operations Research Analysts, Independent Consultant, Business Analyst, Predictive Modeling Analyst/Consultant, Business Intelligence and Analytics Manager, Strategy Consultant, Risk Analyst are possible career prospects for you post completion of this program.

    Refund Policy/Financials

    What is the fee for the Professional Certificate Program in Data Science and Business Analytics?

    The program is priced at INR 1,50,000 (incl. taxes).

    Is there any deferral or refund policy for this program?

    Refund Policy: (Programs with prep-session component)  

     

    • You can claim a refund for the amount paid towards the Program at any time, before the Program Start Date, by visiting www.upgrad.com and submitting your refund form via the "My Application" section under your profile. You can request your Admissions Counselor to help you in applying and withdrawing for a refund by sending them an email with the reasons listed. Processing fee of Rs. 10,000/- will be levied. If less than Rs. 10,000/- have been paid in total, student shall not be eligible for any refund in such case.
    • Student shall not be eligible for any refund under any circumstances if any such refund requests are raised post Cohort Commencement Date and student will continue to pay the EMI for loan (if applicable) and such loan cannot be cancelled. This is also applicable for those students who could not complete their payment and could not be enrolled in the cohort opted for. However, the student can raise a request for Pre-Program deferral as per the policy defined below for the same.
    • In case of a refund, student will be solely responsible for any cancellation of loan, including but not limited to applicable loan cancellation charges levied on the total cancelled loan amount.
    • Student must pay the full fee within 7 days of payment of Caution Money or Cohort Commencement Date, whichever is earlier, otherwise the admission letter will be rescinded.
    • Request for refund must be sent via e-mail in the prescribed Refund Request Form. The refund will be processed within 30 working days of commencement of the program after being duly approved by the Academic Committee.

     

    Deferral Policy: (Pre- Program Commencement)  

     

    • If a student, due to unavoidable circumstances is unable to commence with the cohort and requests for a deferral before the cohort starts, we provide the opportunity for the student to defer to another batch.
    • However, the student will be required to pay 50% of the total course fee amount (inclusive of taxes) before the deferral can be approved. Till this is completed, the student will be assumed to be continuing in the same cohort.
    • A student can request for deferral only once and to either of the scheduled cohorts to start in the next 1 year from the batch start date of initial batch the student enrolled for.
    • The student has time till the current cohort launch date to make the payment of the 50% program fee, post which the deferral request will expire. Once the deferral window expires and the student now asks for a refund, the above-mentioned applicable refund policy will apply.
    • The fee applicable to the deferred student will be as per prevailing fee for the batch student as opted to defer to (No additional deferral fee is required to be paid).

     

    Deferral Policy: (Post Program Commencement) 

     

    • If a student is facing severe issues in dedicating time to the course, we provide the opportunity for the student to defer to another batch.
    • A student can request for deferral only once and to either of the scheduled cohorts to start in the next 1 year from the batch start date of initial batch the student enrolled for.
    • The student will be required to pay a deferral fees of 10% of the total course amount fee + Taxes if any along with the differential program fees between the two cohorts
    • The deferral request will be approved once the deferral fee is paid.
    • Till this is completed, the student will be assumed to be continuing in the same cohort.
    • The student has 7 days (including holidays and weekends) from the date of deferral request to make the payment of the deferral fee post which the deferral request will expire, and the student will continue as part of the current cohort.
    • If the student completes the deferral payment, the student’s login will be disabled, the student will leave the deferred cohort and the student will start learning on the new cohort from the point of the last assignment that was graded in the deferred cohort. All grades and progress till that point will be carried forward as it is to the new cohort. For clarification, the grades of the graded assignments will be carried forward, whether the student had submitted these grading during the initial stage.
    • The deferral can only be requested during the batch for which the student has enrolled is ongoing. Once the batch has completed, deferral requests shall not be entertained. For clarification, the batch completion here shall mean the “last grace deadline” as communicated by upGrad.

    Selection Criteria

    How do I know if the program is right for me?

    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 program is meant for you. 

    My current role does not include exposure to data. Does it make sense for me to opt for this program?

    Absolutely! data and business analytics 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.

    What is the application process for the program and what are the timelines?

    Step 1: Take the Test

    Complete and submit your online application form and complete the short 15-minute test for the admission committee to assess your candidature.

     

    Step 2: Get Shortlisted and Receive your Offer Letter

    Our admissions team will review your details. An offer letter will be sent to you if you qualify for the program.

     

    Step 3: Block your Seat

    Upon receiving the offer letter you can proceed to confirm your candidature to the program by paying a minimum block amount of INR 15,000.  

    upGrad Learner Support

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    upGrad does not grant credit; credits are granted, accepted, or transferred at the sole discretion of an educational institution. upGrad does not make any representations regarding the recognition or equivalence of the credits or credentials awarded, unless otherwise expressly stated. We advise you to enquire further regarding the suitability of this program for your academic and professional requirements before enrolling.