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    Program Overview

    Key Highlights

    Offered by a top 20 U.S. public university
    Offered by a top 20 U.S. public university
    Fast track to the 12-month Executive Program in Data Science and Machine Learning
    Fast track to the 12-month Executive Program in Data Science and Machine Learning
    Taught by world renowned faculty members of University of Maryland and industry experts.
    Taught by world renowned faculty members of University of Maryland and industry experts.
    Weekly live sessions by top academicians from University of Maryland's Robert H School of Business
    Weekly live sessions by top academicians from University of Maryland's Robert H School of Business
    Fortnightly small group coaching sessions  in a group of 10 students with industry leaders
    Fortnightly small group coaching sessions in a group of 10 students with industry leaders
    Capstone project in the domain of your choice
    Capstone project in the domain of your choice
    Comprehensive curriculum covering concepts such as Inferential Statistics, Machine Learning, Predictive Modeling and Data-driven story telling
    Comprehensive curriculum covering concepts such as Inferential Statistics, Machine Learning, Predictive Modeling and Data-driven story telling
    300 hours of hands-on learning and 100+ hours of live sessions. Recommended 8-10 hours per week.
    300 hours of hands-on learning and 100+ hours of live sessions. Recommended 8-10 hours per week.
    Programming tools and languages such as Python, SQL, Excel and Tableau
    Programming tools and languages such as Python, SQL, Excel and Tableau
    No prior coding/programming experience required
    No prior coding/programming experience required

    Why pursue a career in Data Science?

    * 27.9% - The rise in demand for skilled and knowledgeable data scientists by 2026 as per The United States Bureau of Labor Statistics.
    * 498,000 - Data Science jobs available as per LinkedIn.
    * $75,000 - $ 145,000 - Salary range of skilled and experienced data scientist.

    Program Brochure

    Best-in-class personalized learning experience by University of Maryland Faculty and industry leaders in the form of live lectures, videos, cases and projects

    Download Brochure

    About the Program

    Hands-on Capstone Projects

    Hands-on Capstone Projects

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

    Dedicated Career Assistance

    Dedicated Career Assistance

    Receive 1:1 feedback on career counselling sessions & attend GitHub, Kaggle, Resume building sessions.

    Student Support

    Student Support

    Student support available from 9:00 am to 9:00 pm EST. Our team will respond to the call back option within 2 working hours and to email assistance within 24 hours.

    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
    Designed for technical as well as non-technical professionalview more
    Minimum Eligibility
    Anyone with high school graduate/associate degree or above cview 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 Top 20 U.S. Public university
    • This is the 1st certificate in a series of two, to complete the Executive Program in Data Science and Machine Learning.
    • Please select Executive Program in Data Science and Machine Learning from the Data Science & Analytics tab in the Courses dropdown at the top

    Faculty Members

    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
    100+
    hours- Live Sessions
    6
    Case Studies and Projects
    1
    Capstone Project
    300
    Hours Curriculum Duration

    Prep Course

    1 week
    • Data Analysis in Excel

    Data Science Toolkit

    10 Weeks
    • 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
    • Data Analysis using SQL
    • Practical Data Considerations: Data Cleaning and Preparation
    • Course Project: Python

    Statistical Analysis & Visualization

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

    Machine Learning

    9 Weeks
    • 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
    • Introduction to Ensemble Models: Random Forest & Boosting
    • Assignment
    • Unsupervised Learning: Clustering
    • Unsupervised Learning: Association Rules Mining (Market Basket Analysis)
    • Course Project: Machine Learning

    Capstone Project

    2 Weeks
    • Capstone Project

    Why working professionals vouch for us?

    Dedicated support to help you master data science and business analytics.
    benefits

    Learning Support

    Learning Support
    Learning Pedagogy
    • 100% online, on-demand learning meant for working professionals
    • Weekly live lectures and interaction with university faculty
    • Comprehensive curriculum to cater to both tech. and non-tech. professionals
    • Equal focus on developing business acumen and technical know-how
    Student Support
    • Available all days 9 AM - 9 PM. For urgent queries, use the Call Back option on the platform.
    benefits

    Personalized Experience

    Personalized Experience
    Personalized Learning
    • Select capstone project in the domain of your choice
    • 1:1 career coaching helps chart out your career in data science
    • upGrad Learning Buddy to keep track of progress and deadlines
    • Small group coaching in a group of 10 students with industry experts
    benefits

    Doubt Resolution

    Doubt Resolution
    Discussion Forum
    • Timely doubt resolution by peers and teaching assistants on the discussion forum
    • Personalized feedback on assignments and case studies

    Our Students Work At

    Admission Process

    There are 3 simple steps in the admission process that are detailed below:

    Program Fees

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    upGrad Learner Reviews

    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 7-month online program designed specifically for tech and non-tech working professionals to develop practical knowledge and skills, establish a professional network, and accelerate their careers in the field of data science and business analytics. 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 10-12 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, you are granted a Professional Certificate in Data Science and Business Analytics from the University of Maryland's Robert H. Smith School of Business. Additionally, you get a chance to articulate to an Executive Program in Data Science and Machine Learning wherein, you can end up earning 3 certificates. 
     

    Time Commitment

    What is the time commitment expected for the program?

    At least 12 hours per week of time commitment is expected to be able to complete 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 -- .

    Is there any deferral or refund policy for this program?

    Refund Policy: (Programs with/without prep-session component)
     

    • The student must pay applicable caution money for the enrollment of the course. This will be adjustable against the total course fee payable by the student.
    • 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 Counsellor  to help you in applying and withdrawing for a refund by sending them an email with reasons listed. There shall be no refund applicable once the program has started. This is applicable even for those students who could not complete their payment, and could not be enrolled in the batch opted for. However, the student can avail pre-deferral as per the policy defined below for the same.
    • Refund shall be processed to an eligible student within 30 working days from the date of receipt of refund form subject to submission of the right documents from him/her in this regard.
    • Refund shall be subject to deduction of $150 processing charges and as per the conversion rate applicable.
       

    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. This deferral will be subjected to a 10% deferral fee of the total course amount + taxes if any along with the differential program fees between the two cohorts.
    • This deferral request shall be granted only once and to either of the scheduled cohorts to start in the next 1 year from the start date of the initial batch in which the student was originally enrolled for.
    • The deferral request will be approved once the deferral fee is paid. Until the process 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 shall be deemed as expired, and the student shall 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 or not 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.
       

    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 start date of the initial batch in which the student was originally enrolled for.
    • The student shall have time till the current cohort launch date to make the payment of the 50% program fee, post which the deferral request will expire. In the event the student raises a refund request after the deferral window expires, the above-mentioned applicable refund policy shall apply.
    • The fee applicable to the deferred student will be as per prevailing fee for the batch student has opted to defer to (No additional deferral fee is required to be paid).The student shall be liable to pay the differential program fees between the two cohorts, if any.

    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 making 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?

    Step 1: Complete your application 

    Step 2: Get shortlisted and receive your offer letter 

    Step 3: Reserve your seat

    Disclaimer

    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.