Data Analytics 360

Certificate Program for Indian Executives

*Three-month zero-interest EMI Option available

Enroll Now

Enhance Business Performance with Data-Driven Insights

Talentedge is proud to offer Data Analytics 360 Certificate Program for Indian Executives in collaboration with eCornell, Cornell University’s online learning platform.

Data analytics is among today’s fastest-growing and highest-paid professions, as organizations have begun to increasingly rely on data to drive strategic business decisions. Multiple studies across the globe project that demand for professionals with Data Analytics skills will continue to soar in the current decade.

eCornell’s Data Analytics 360 certificate course is designed to take your strategic decision making to the next level by expanding your analytical capabilities. The course will explore in detail the advanced techniques in prescriptive analytics like modelling and optimization. By enrolling into this course, you’ll learn how prescriptive analytics enables you to not only forecast what will happen, but will also suggest actions for achieving predicted outcomes dependent upon the interdependent effects of multiple decisions. The course will follow an approach based on hands-on exercises and video instructions which will enable you to combine data visualization, prescriptive analytics, and predictive models to increase the accuracy of your predictions and make better, more agile business-related decisions.

Whether you’re planning to enter the arena of analytics, starting out as an analyst or are a senior executive, this certificate course is designed to take your decision making to the next level by enhancing the functional literacy in critical business analytics. This course will also impart knowledge of scientific methods for data analysis and visualization and help you gain a 360 degree understanding of risk and probability, using statistical representations to optimize results for complex, and often simultaneous, business decisions.

 

Understanding and Visualizing Data
Implementing Scientific Decision Making
Using Predictive Data Analysis
Modeling Uncertainty and Risk
Optimization and Modeling Simultaneous Decisions
What You Will Learn
Benefit
Create Statistical Summaries and Data Visualizations

Create and interpret statistical summaries and data visualizations that support understanding and guide decision making

Benefit
Learn to Build Dashboards that Simplify Complex Business Situations

Use data and key performance indicators to build a dashboard that uses visuals to improve your understanding of complex business situations

Benefit
Use Statistical Methods to Test Scientific Hypotheses

Formulate a business question as a scientific hypothesis that can be tested using statistical methods.

Benefit
Create Regression Models to Predict Likely Outcomes

Create and validate regression models that can be used to determine the effect of attributes on a decision and predict likely outcomes

Benefit
Reduce Uncertainty in Decision Making

Use data to describe and reduce uncertainty in decision making and incorporate uncertainty and risk into decision models

Benefit
Predict Outcomes in Complex Situations

Use data models to predict outcomes in complex situations with multiple, simultaneous decisions

What Will You Earn

  • Certificate of Completion in Data Analytics 360
  • 75 Professional Development Hours (7.5 CEUs)
  • 26 Professional Development Units (PDUs) Toward PMI recertification

View Sample Certificate

Participation-Certificate

Inside the Program

  • This certificate consists of 5 three-week courses with a 1-week break between courses.
  • Students spend approximately 3-5 hours on each course per week.
  • Lectures, text transcripts, readings, discussions, and projects are accessible 24 hours a day for three weeks each.
  • Courses include multiple-choice quizzes and instructor-moderated discussions. A final project is required for each course, allowing you to practice what you’ve learned in a real-world context
  • Expect plenty of opportunities for collaboration and networking with fellow participants both during and after your courses.

Eligibility

  • Graduates (10+2+3) or Diploma Holders (only 10+2+3) from a recognized university (UGC/AICTE/DEC/AIU/State Government) in any discipline.
  • Proficiency in English, spoken and written is mandatory.

Who Should Enroll?

  • Analysts
  • Functional managers
  • Executives
  • Consultants
  • Decision Makers

Program Details

  • Duration: 19 weeks
  • No. of Courses: 5
  • Effort: 3-5 hours per week
  • Format: 100% online
  • Model: Instructor-led
ABOUT eCornell

As Cornell University’s online learning unit, eCornell delivers online professional certificate programs to individuals and organizations around the world. Courses are personally developed by Cornell faculty with expertise in a wide range of topics, including hospitality, leadership and management, marketing, human resource, technology and data analytics. Students learn in an interactive, small class format to gain skills they can immediately apply in their organizations. eCornell has offered online learning courses and certificate programs for 18 years to over 150,000 students at more than 2,000 companies.

Faculty
Chris Anderson

Chris Anderson

Professor, Cornell University

Chris Anderson is a professor at the Cornell School of Hotel Administration. Prior to his appointment in 2006, he was on faculty at the Ivey School of Business in London, Ontario, Canada. His main research focus is on revenue management (RM) and service pricing. He actively works with industry, across numerous industry types, in the application and development of RM, having worked with a variety of hotels, airlines, rental car and tour companies, as well as numerous consumer packaged goods and financial services firms. Anderson’s research has been funded by numerous governmental agencies and industrial partners. He serves on the editorial board of the Journal of Revenue and Pricing Management and is the regional editor for the International Journal of Revenue Management. At the School of Hotel Administration, he teaches courses in revenue management and service operations management. Read Less
Key Highlights
  • 32+ hours of Live and Interactive sessions
  • Learn through hands-on practice and contemporary and relevant case studies in the Indian industry
  • Gain a deeper understanding of data analytics in India through Leadership Arena
  • Peer learning through live discussions, group assignments, and concept simulations
Delivery Methodology
  • Home Read (A Pre-requisite): Content will be shared a week in advance for the learners to pre-read the modules before the sessions begin. Each batch starts with a pre-test, and the scores published in real-time. Practitioner time is utilized in ensuring 100% concept clarity. Each session ends with a post-test to assess real-time improvement.
  • Virtual Delivery: All sessions conducted in a synchronous mode over the Talentedge platform.
Fee Structure
Program Fee INR 250000
Discounted fee INR 200000
Installment 1 INR 100000 + GST, payable at the time of registration
Installment 2 INR 100000 + GST, payable within 3 weeks from registration or 1 week before course commencement

*Three-month zero-interest EMI Option available

Note: Cohorts have limited seats only and admission is on first come first serve basis for qualifying participants

Application Process

All applications for this program must be made through online registration on the website. As a part of the application process, you will be required to furnish details about your educational qualification and professional work experience. On payment of the full programme fee, your Talentedge Academic Counsellor will complete your student registration process with eCornell post which you will start to receive all communication and course related access credential from eCornell directly.

In case payment is being made online through Credit Card/Debit Card, please ensure that you have the Credit Card/Debit Card with you at the time of filling out the online Application Form at https://talentedge.com/. If you have opted to pay the Application Fee/Instalments of the Fee through Demand Draft/Pay Orders, then please ensure that the Demand Draft/Pay Orders for the applicable amount is made favoring “Arrina Education Services Private Limited” payable at Mumbai and is sent to the address provided below along with the downloaded copy of your Application Form. Please ensure that you write your Name, Course Name and Contact number at the back of your Demand Draft/Pay Order.

All Demand Draft/Pay Orders along with a downloaded copy of your Application Form must be sent to.

Student Relations Manager,
TALENTEDGE,
21, Institutional Area, Sector 32,
Gurgaon 122003, Haryana, INDIA.

Cancellation Policy

Cancellation by the Participant

Requests for refund of fees on account of cancellation of enrolment shall be considered only if such requests are received prior to closure of registration or 21 days before date of course commencement whichever is earlier.

In event that such valid requests for refund of fees are received, money shall be refunded after deducting a penalty of INR 5,000 + applicable taxes and GST.

In all other cases, no refund shall be made.

A participant may opt for rescheduling to a later batch of the same course prior to commencement of the course. However, such intimation must be made by the participant at least fifteen days prior to the commencement of the course. The amounts paid by the participant shall be considered as advance payment towards the next batch. Further, the participant shall have to pay an administrative charge of INR 5000 plus applicable taxes for facilitating such rescheduling.

Cancellation by Talentedge & eCornell

Talentedge & eCornell, reserve the right to cancel courses at any time owing to reasons like insufficient enrolments, trainer indisposition or force majeure events. In the event that Talentedge or eCornell cancels a scheduled course, the student will receive full fee refund for the same. All refunds will be processed within 30 days of receipt of a valid refund request.

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