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Data Analytics 360 Cornell Certificate Program

Analyze your own leadership characteristics and decision-making styles as a tech leader. Strengthen motivation, essential communication, and influencing skills; and ultimately draw a pathway for your future growth and success in the management of tech and project teams.

5 out of 6 learners get positive career growth.
upGrad Results Reviewed by Deloitte

In association with

Digital Learning

Live & Interactive

School

Ivy League

On Completion

Cornell Certification

Duration

4.5 Months

Batch Start Date

Coming Soon

Programme Overview

Key Highlights

Consists of 5 three-week courses with a 1-week break between courses.

Learners spend approximately 3-5 hours on each course per week.

32+ hours of Live and Interactive sessions

Courses include multiple-choice quizzes and instructor-moderated discussions.

Peer learning through live discussions, group assignments, and concept simulations

Learn through hands-on practice and contemporary and relevant case studies

Lectures, text transcripts, readings, discussions, and projects are accessible 24 hours a day for three weeks each.

Ideal for:

- Analysts
- Functional managers
- Executives
- Consultants
- Decision Makers

Syllabus

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

Download Syllabus

What You Will Learn

Statistical Summaries and Data Visualizations, Build Dashboaview more

Delivery Methodology

Home Read (A Pre-requisite): Content will be shared aview more

Minimum Eligibility

Education:
- Graduates (10+2+3) or Diploma Holderview more

Certification

Data Analytics 360 Cornell Certificate Program

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Certificate of Completion in Data Analytics 360
75 Professional Development Hours (7.5 CEUs)
50 Professional Development Units (PDUs) toward PMI recertification

Explore our Learning Platform

Learn on an AI-powered & personalised platform with best-in-class content, live sessions & mentoring from leading industry experts.

Instructor

Chris Anderson

Professor, Cornell University

Been teaching at Cornell since 16 years. Prof. Chris is also the regional editor for the International Journal of Revenue Management.

Syllabus

Best-in-class content by leading faculty and industry leaders from ECronell.

Download Brochure

Understanding and Visualizing Data

Learn to utilize your own decision-making framework to achieve desired outcomes
Evaluate decisions by looking at key performance measures and determining their implications for stakeholders

Implementing Scientific Decision Making

Learn to utilize your own decision-making framework to achieve desired outcomes
Evaluate decisions by looking at key performance measures and determining their implications for stakeholders

Using Predictive Data Analysis

Identify data relationships to reduce uncertainty and use regression models to drive decisions
Make better predictions and estimates for outcomes using modeling frameworks

Modeling Uncertainty and Risk

Use estimates of probable future outcomes for simple Yes/No decisions, based on increasingly complex modeling situations
Develop and use a Monte Carlo simulation to examine outcomes that vary based on multiple, interdependent decisions

Optimization and Modeling Simultaneous Decisions

Create an optimization model for linear and nonlinear decision situations
Use data models to predict and optimize outcomes in complex situations involving multiple, simultaneous decisions

Program Fees

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Empowering learners of tomorrow

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.

Frequently Asked Questions

Application Process

What is the application process?

Fill the application form.
Check for eligibility
Pay the block and reserve your seat