Predictive Analytics Free Big Data Course

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Present course, ‘Predictive Analytics’ is offered by Indian Institute of Management, Bangalore from edX platform. This 4-week health course is designed for students/practitioners interested in improving their knowledge in the field of predictive analytics.

This course prepares the learner for a career in the field of data analytics. The course starting date is November 25, 2015.

Course At A Glance

Length: 7 weeks
Effort:  4-5 hours/week
Subject: Predictive Analytics
Institution: Indian Institute of Management and edX
Languages: English
Price:  Free
Certificate Available: Yes.
Session:  Starts on November 25, 2015.

Providers’ Details

Present Course is offered by Indian Institute of Management and edX. IIMB believes in the disruptive power of technology and are committed to leveraging digital technology to make high quality management education accessible to everyone across the globe. They will launch MOOCs on topics ranging from core management subjects to advanced and specialized offerings.

This online platform edX provides online courses from the world’s best universities. edX can empower you to build innovative applications, services, and experiences.

About This Course

Decision makers often struggle with questions such as: What should be the right price for a product? Which customer is likely to default in his/her loan repayment? Which products should be recommended to an existing customer? Finding right answers to these questions can be challenging yet rewarding.

Predictive analytics is emerging as a competitive strategy across many business sectors and can set apart high performing companies. It aims to predict the probability of the occurrence of a future event such as customer churn, loan defaults, and stock market fluctuations – leading to effective business management.

Models such as multiple linear regression, logistic regression, auto-regressive integrated moving average (ARIMA), decision trees, and neural networks are frequently used in solving predictive analytics problems. Regression models help us understand the relationships among these variables and how their relationships can be exploited to make decisions.

This course is suitable for students/practitioners interested in improving their knowledge in the field of predictive analytics.  The course will also prepare the learner for a career in the field of data analytics. If you are in the quest for the right competitive strategy to make companies successful, then join us to master the tools of predictive analytics.

Why Take This Course?

This is a free online course. Applicants can get a personalized, digital and printed certificate. Video Transcripts will be offered in English and Hindi.

Learning Outcomes

Applicants will learn why we use story and guided through how to:
-Understand how to use predictive analytics tools to analyze real-life business problems.
-Demonstrate case-based practical problems using predictive analytics techniques to interpret model outputs.
-Learn regression, logistic regression, and forecasting using software tools such as MS Excel, SPSS, and SAS.

Instructors

– Dinesh Kumar        
Professor Dinesh Kumar is a professor of Quantitative Methods and Information Systems at the Indian Institute of Management Bangalore.

Requirements

Prerequisites are:
-Advanced Statistical Concepts: Descriptive statistics, Probability Distribution, Hypothesis testing, ANOVA
-Software Requisites:  SPSS / SAS / STATA

How To Join This Course

  1. Go to the course website link
  2. Create an edX account to SignUp
  3. Choose “Register Now” to get started.
  4. EdX offers honor code certificates of achievement, verified certificates of achievement, and XSeries certificates of achievement. Currently, verified certificates are only available in some courses.
  5. Once you sign up for a course and activate your account, click on the Log In button on the edx.org home page and type in your email address and edX password. This will take you to your dashboard, with access to each of your active courses. (Before a course begins, it will be listed on your dashboard but will not yet have a “view course” option.) 

Detailed Information

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