Predictive Analytics

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9/10 stars
based on  47 reviews
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Cost FREE
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Course Details

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FREE

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  • On demand

Course Provider

edX online courses
Harvard University, the Massachusetts Institute of Technology, and the University of California, Berkeley, are just some of the schools that you have at your fingertips with edX. Through massive open online courses (MOOCs) from the world's best universities, you can develop your knowledge in literature, math, history, food and nutrition, and more. These online classes are taught by highly-regarded experts in the field. If you take a class on computer science through Harvard, you may be tau...
Harvard University, the Massachusetts Institute of Technology, and the University of California, Berkeley, are just some of the schools that you have at your fingertips with edX. Through massive open online courses (MOOCs) from the world's best universities, you can develop your knowledge in literature, math, history, food and nutrition, and more. These online classes are taught by highly-regarded experts in the field. If you take a class on computer science through Harvard, you may be taught by David J. Malan, a senior lecturer on computer science at Harvard University for the School of Engineering and Applied Sciences. But there's not just one professor - you have access to the entire teaching staff, allowing you to receive feedback on assignments straight from the experts. Pursue a Verified Certificate to document your achievements and use your coursework for job and school applications, promotions, and more. EdX also works with top universities to conduct research, allowing them to learn more about learning. Using their findings, edX is able to provide students with the best and most effective courses, constantly enhancing the student experience.

Provider Subject Specialization
Sciences & Technology
Business & Management
23448 reviews

Course Description

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 b...

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.

Reviews 9/10 stars
47 Reviews for Predictive Analytics

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Rankings are based on a provider's overall CourseTalk score, which takes into account both average rating and number of ratings. Stars round to the nearest half.

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Ankita P profile image
Ankita P profile image

Ankita P

10/10 starsTaking Now
3 years, 5 months ago
This course is very good for beginners. For those who dont have statistical background, this course covers everything from scratch. I really like they in which prof. Dinesh Kumar structured the curriculum. Obviously it is impossible to cover everything in one video lesson but this course is good to start with.
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student

2/10 starsDropped
3 years, 8 months ago
Extremely poor language and communication skills of the instructor. Awfully bad English and extremely hurried way of delivering. Pdf transcripts were equally bad and so were the panel discussions. Not the expected quality from an IIM faculty. Feels like no quality check was done.
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Nistala V.E.S. Murthy profile image
Nistala V.E.S. Murthy profile image

Nistala V.E.S. Murthy

10/10 starsDropped
3 years, 10 months ago
Back ground music is so dominating that one can hardly hear what the instructor is saying. It is even worse with ear phones. PLEASE minimize the back ground music, reduce bass levels to make it more audible. Thank you.
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JEAN LOUIS KOUAME profile image
JEAN LOUIS KOUAME profile image

JEAN LOUIS KOUAME

10/10 starsTaking Now
3 years, 11 months ago
It a very good course but i dit not get time to pass the certificate .i would like u to program again this course for tne furture.
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Anoop Kumar Chenayil profile image
Anoop Kumar Chenayil profile image

Anoop Kumar Chenayil

10/10 starsCompleted
4 years, 3 months ago
The content is well structured and explained. Found it very useful being a beginner in this area. The practical implementation explained in the course (Apollo Hospital, L&T , Die Another Day hospitals) helped to relate to the theory. The demo of SPSS was also useful.
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Student

2/10 starsCompleted
4 years, 4 months ago
The content is delivered in bad English that is very difficult to understand. Transcripts provided help a bit. The way of teaching is different from the western one - it feels more like punishment than participation for a student. The course lacks in practice problems and exercise. Professor’s explanations are very concise and not enough to completely understand the matter so you are forced to do a lot of additional research on the net. But the timeline is very tight. So you have to work on the graded questions (with just 1 attempt!) not having enough understanding yet, but when you fail they do not explain what was wrong. You did not learn from your mistakes yet but must start with the next module. And so on. No wonder that the passing score is just 60%. I have passed it but did I learn the predictive analytics? NO.
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Ankur Sharma profile image
Ankur Sharma profile image

Ankur Sharma

8/10 starsCompleted
4 years, 4 months ago
It was amazing course, very informative and detailed course content and examples. It could be great if practical (demo part) would had been extended.
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10/10 starsCompleted
  • 1 review
  • 1 completed
4 years, 4 months ago
The Predictive Analytics course by IIMB is easily one of the best courses available on the topics covered. The course starts by introducing what problems are being faced by businesses worldwide and how predictive analytics can be used to address those problems. It then takes you through the most prevalent predictive analytic techniques, how do they work internally, how they can be applied to the given problem, shows model checking and validation and what corrective actions to take in case of discrepancies. There are examples of model building in Excel and SPSS. By giving only 1 attempt at the exercises, the course forces you to think through each of the problems rather than resorting to any guesswork. What sets it apart from other courses is that it covers only what is necessary in a clear, concise and compact manner. It also address most of the common doubts new learners have through lectures, webinar and discussion forums. If the c... The Predictive Analytics course by IIMB is easily one of the best courses available on the topics covered. The course starts by introducing what problems are being faced by businesses worldwide and how predictive analytics can be used to address those problems. It then takes you through the most prevalent predictive analytic techniques, how do they work internally, how they can be applied to the given problem, shows model checking and validation and what corrective actions to take in case of discrepancies. There are examples of model building in Excel and SPSS. By giving only 1 attempt at the exercises, the course forces you to think through each of the problems rather than resorting to any guesswork. What sets it apart from other courses is that it covers only what is necessary in a clear, concise and compact manner. It also address most of the common doubts new learners have through lectures, webinar and discussion forums. If the course can give model building examples in R or Python as well and increase the number of exercises, it will greatly enhance the value of this course.
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Felipe Rodriguez profile image
Felipe Rodriguez profile image

Felipe Rodriguez

10/10 starsCompleted
4 years, 4 months ago
Excellent course and teacher. You will learn a lot for sure. Lot of dedication from a great teacher, some excercises that will challenge you and a very easy to follow course. 100% recomendable.
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Fabian P profile image
Fabian P profile image

Fabian P

10/10 starsCompleted
4 years, 4 months ago
Great MOOC and learning experience. Highly recommended for those who want to start knowing the concepts of predictive analytics. I will be looking forward to enroll in more courses offered by IIMB in these topics. Many thanks to prof Dinesh Kumar and his team.
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Sultan Amed profile image
Sultan Amed profile image

Sultan Amed

8/10 starsCompleted
4 years, 4 months ago
I found the course really interesting. Lectures were nice. Moderator was also helpful. I missed detailing in some places.
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student

9/10 starsCompleted
4 years, 4 months ago
Course provided a good overview of techniques for predictive analytic with mathematical backing departing from straight-forward use of libraries of a language as in most other courses. It was great learning experience and looking forward for in-depth/advanced courses from Professor Dinesh Kumar.
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Ivan Tuhchiev profile image
Ivan Tuhchiev profile image

Ivan Tuhchiev

10/10 starsCompleted
4 years, 4 months ago
Great course! I have taken 2 courses in stats in college before but did not learn nearly as much as I did from this single course. The topics were really interesting and useful with respect to today's job market. The subjects are practically presented with lots of examples without too much unnecessary theoretical stuff. Of course, for someone like me with a limited background in stats it was difficult to grasp a lot of the material presented,but with some additional research, mostly on Youtube, I was able to keep up with the course. I am looking forward to seeing more from Prof Kumar!
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Jakub S profile image
Jakub S profile image

Jakub S

9/10 starsCompleted
4 years, 4 months ago
This course is really cool. Solid handful of knowledge and it's applications. Sometimes too many immediate conclusions, and it is necessary to check different sources to make the topic clear. However this is really solid and thorough piece of course. Thanks a lot.
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student

8/10 starsTaking Now
4 years, 4 months ago
The course and lectures were very precise and easy to understand.It gave me a grasp of the subject at one go. Thanks to Proff.Dinesh a lot.
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Debapratim Dutta profile image
Debapratim Dutta profile image

Debapratim Dutta

10/10 starsCompleted
4 years, 4 months ago
This was my first course in EDX platform and it was indeed a great learning experience and a privilege to learn directly from Prof Dinesh Kumar. Will look forward to future courses in Predictive Analytics from Prof Kumar. Thanks also to the support team for smoothly conducting this course.
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Sachin Nair profile image
Sachin Nair profile image

Sachin Nair

8/10 starsTaking Now
4 years, 4 months ago
The course content was apt and decent enough. Mr. Dinesh Kumar did a fantastic job of introducing the concepts and explaining the practical applications or implementations of these concepts / techniques. Kudos to MOOC team + IIMB + eDX, this is very novel concept and would provide access to industry rich and relevant concepts for students / working professionals who cannot afford spending substantial amount of money to garner in these techniques. Hats Off. Regards, Sachin Nair.
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Massab Dubey profile image
Massab Dubey profile image

Massab Dubey

8/10 starsCompleted
4 years, 4 months ago
The content was perfectly prepared and the emphasis on covering every aspect of the analytics was well done. Great course to enrol.
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dilip hariharan profile image
dilip hariharan profile image

dilip hariharan

9/10 starsCompleted
4 years, 4 months ago
This course was very instructive in ensuring the fundamentals in the regression models and the forecasting models .However if you are looking for hands on training in SPSS its not there its more of video demos where it is shown on Excel and SPSS how it is done . Also the solutions to the week exercises should be more explanatory and should be published once the course deadline for that particular week is done as otherwise the same mistakes tend to get repeated . All in all a very gud course to strengthen your fundamentals
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Nambi ST profile image
Nambi ST profile image

Nambi ST

10/10 starsCompleted
4 years, 4 months ago
This is my maiden experience with MOOC. Predictive analysis course was highly informative and the case studies was really useful from the application point of view. Prof. Dineshs' lectures are highly impressive. Kudo's Prof. Looking forward to more from you.
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ARUN K SHARMA profile image
ARUN K SHARMA profile image

ARUN K SHARMA

10/10 starsCompleted
4 years, 4 months ago
It has been great learning experience. I gained a lot. Case studies were very interesting. One thing I want you to add if possible that a complete case study should be provided to understand solving problems. Like DAD hospital's case can be shared with full details so that learner get complete picture of solving problems.
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Hernan Garritano profile image
Hernan Garritano profile image

Hernan Garritano

10/10 starsCompleted
4 years, 4 months ago
Sincerely, one of the best MOOC that I took. Every topic with a real example, a well structured theory and a very tough questions made me feel that I was really in the university. A book recommendation and the extension of the provided explanation in SPSS to SAS or STATA - I'm STATA user - will be helpful to follow the course in a better way. Thank for this great course !
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Student

8/10 starsCompleted
4 years, 4 months ago
Thank you very much for this course - it was quite useful. Very good course content. But it needs at least 2 additional weeks to do justice. Weeks 5 and 6 materials could easily use another week. Instructions can be improved by slowing down in presentations. The 'what's of the concept were taught well, the 'why's needed more articulation in some cases. Hopefully a non-holiday time slot alternative exists to help students spend more time on it.
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Somashish Biswas profile image
Somashish Biswas profile image

Somashish Biswas

7/10 starsCompleted
4 years, 4 months ago
The content was very good. But what I think is that in the last two sections the explanation was not up that much as was in the time of regression. Although it was a great experience. There should be one more online course on text analysis and sentiment analysis. Thanks to whole IIMB team for such a fantastic online course.
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Nilanjan Debnath profile image
Nilanjan Debnath profile image

Nilanjan Debnath

9/10 starsCompleted
4 years, 4 months ago
Excellent Course with well balanced course structure. Really enjoyed the course. Webinar was a good initiative.
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Josh Rocha profile image
Josh Rocha profile image

Josh Rocha

8/10 starsCompleted
4 years, 4 months ago
The course covered relevant material related to predictive analytics. The lectures are short and somewhat intense. I found myself pausing the lectures multiple times so I could take all the relevant notes. The instructor is very knowledgeable, but I would have liked to see the use of more real life examples used in the lectures. Overall, I learned a lot and added some more statistical tools to my toolbox.
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Rajsekhar Rao profile image
Rajsekhar Rao profile image

Rajsekhar Rao

10/10 starsCompleted
4 years, 4 months ago
Thank you Prof Kumar. The course was excellent as a primer for Predictive Analytics - The course covered all pertinent areas – now it is up to the participant to delve deeper into individual topics of his / her interest or need.
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Jean Dalie profile image
Jean Dalie profile image

Jean Dalie

9/10 starsCompleted
4 years, 4 months ago
Good experience I did not have all the prerequisites but I did not drop I am encouraged to continue on practical applications Thank you
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Rajkumar D profile image
Rajkumar D profile image

Rajkumar D

7/10 starsCompleted
4 years, 4 months ago
Course is well structured, the motive behind them to explore more out to answer will be bit annoying at first but gradually it was fun to explore. Basic stat background is necessary to understand with their pace. Only thing i felt backward is practical knowledge is less as the model output is straight away given to answer the questions.
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Luca Adorni profile image
Luca Adorni profile image

Luca Adorni

9/10 starsCompleted
4 years, 4 months ago
I was able to complete this course thank to the clear material, good instructor and a lot of hours spent to fulfill the gaps I had when the course started. I suggest this course to people with a good math / stat background
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