Courses
Professional Certificate Program in Data Science and Business Analytics

Strengthen your decision-making skills with a global professional certificate from the US. Identify insights, improve your ability to make predictions, & make better data-driven business decisions.

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Intro Video
  • Online
    Format
  • 9 Months
    Duration
  • Mar 30, 2022
    Start Date
  • 7 Assignments
    + 1 Capstone Project
  • Overview
  • Instructors
  • Syllabus
  • Benefits
  • Admission Process
  • Fees
  • Refer & Earn
  • Reviews
  • FAQ
About the Program

Receive industry mentorship, dedicated career assistance, learn data science applications in real business problems, and much more.

Hands-on Capstone Projects

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

Dedicated Career Assistance

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

Student Support

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

Program Overview

Key Highlights

  • 400+ Hours of Learning
  • 20+ Case Studies and Assignments
  • 100+ Hours of Live Sessions
  • Professional Certificate Program from University of Maryland's Robert H. Smith School of Business
  • Graded Assessments Every Module
  • 10-12 Hours/Week of Learning
  • 1 Capstone Project from the Domain of Your Choice
Syllabus

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

  • Top Skills You Will Learn:
    Statistics, Predictive Analytics using Python, Machine Learning, Data Visualization, Predictive Modelling, Business Problem Solving etc.
  • Job Opportunities:
    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
  • Who Is This Program For?
    - Software Engineers who wish to enter DS
    - Mid Level IT professionals
    - Non Technical Business Analysts
    - Marketing/ Healthcare/ Domain based professionals who wish to apply analytics
    - Early career technologists with understanding of math and basic logic for programming
  • Minimum Eligibility
    The program design and curriculum assumes an undergraduate education has been earned by the learner. High school graduates/ Associate degree holders can pursue this program.

Programming Languages and Tools Covered

University of Maryland

On successful completion of the Program, you receive a verified certificate from University of Maryland's Robert H. Smith School of Business

  • - 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
University of Maryland
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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. 

  • Pre-Program Preparatory Content
    • Data Science Toolkit
      • 8 Weeks
    • Statistical Analysis & Visualisation
      • 12 Weeks
    • Machine Learning
      • 10 Weeks
    • Advanced Machine Learning
      • 10 Weeks
    • Capstone Project
      • 2 Weeks

      Industry Projects

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

      • Engage in collaborative projects with student-mentor interaction
      • Benefit by learning in-person with expert mentors
      • Personalized subjective feedback from Maryland faculty on your project submissions
      • Deriving Business Insights and Storytelling
        Work from the top-down on a real business problem, breaking it down into a d...
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      • Regression
        Use all the skills learnt in statistics and regression to build a predictive...
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      • Classification
        Solve a real-industry problem using the classification and model selection t...
        Learn More

      Disclaimer:

      • Case studies are representative and subject to change based on faculty inputs
      The upGrad Advantage
      Strong hand-holding with dedicated support to help you master Data Science
      • Learning Support
        Industry Mentors
        • Receive unparalleled guidance from industry mentors, teaching assistants and graders
        • Receive one-on-one feedback on submissions and personalized feedbacks on improvement
        Student Support
        • Student Support available all day for your convenience (24*7).
        • For urgent queries, use the Call Back option on the platform.
      • Q&A Forum
        • Timely doubt resolution by peers and Teaching Assistants on the Q&A forum
        • Personalised feedback on assignments and case studies
        Expert Feedback
        • Personalized expert feedback on assignments and projects
        • Regular live sessions by experts to clarify concept related doubts
      • Industry Networking
        • Online live sessions by experts on various industry topics
        • One-on-one discussion 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 Fee
      USD 3,849
      • This price applies for payment in installments. An exclusive upGrad scholarship applicable for upfront payments.

      Empowering learners of tomorrow

      How You Benefit From This Program
      • Earn a Professional Certificate without leaving your job
      • Cutting edge curriculum delivered by world class instructors
      • Accelerate and Transition your career by unlocking the power of data
      • Hands-on capstone projects that deepen your understanding
      Refer someone you know and receive Amazon.com vouchers worth 49 USD!*

      *More details under the referral policy under Support Section.

      Start Referring

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      Frequently Asked Questions

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