The field of analytics is typically built on four pillars: Descriptive Analytics, Predictive Analytics, Causal Analytics, and Prescriptive Analytics. Descriptive analytics (e.g., visualization, BI) deal with the exploration of data for patterns, predictive analytics (e.g., data mining, time-series forecasting) identifies what can happen next, causal modeling establishes causation, and prescriptive analytics help with formulating decisions. This specialization focuses on the Prescriptive Analytics (the final pillar). This specialization will review basic predictive modeling techniques that can be used to estimate values of relevant parameters, and then use optimization and simulation techniques to formulate decisions based on these parameter values and situational constraints. The specialization will teach how to model and solve decision-making problems using predictive models, linear optimization, and simulation methods.
NR
Loved the forecasting lecture. I've used other forecasting methods but learned the composite method first time. Highly recommended course for supply chain and manufacturing students and professionals.
VP
The course is good for learning fundamentals of optimisation using linear programming !
CL
Really enjoyed the lesson. Learned application of optimization analytics in various setting.
CL
I learned a lot of interesting knowledge from this course and the specialization in general.
JH
I really like how there were lots of examples for us to practice on. It helped to reinforce what we were learning
CW
It was an interesting refreshed for the most part and went very quickly. Could have used just a little more info on using Excel Solver. Thanks for the class!
JH
All of the courses in this series are very practical based and give a lot of practice in using the tools.
NP
Thank you De Liu, I thoroughly enjoyed this predictive modeling hands-on tech course !
JH
There are a lot of examples to work through and learn from which I find helps make the material easier to learn.
NR
The concepts are explained well. The lectures are very detail oriented. I just wish there were more examples to follow.
UQ
Highly impressed with the methodology and concepts given by the focal person... Thanks and Love
NR
Very insightful course. Love the detail explaination for solving simple LP problems.
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Good course! The videos and instruction are very good. I thought the week 4 coursework was substantially more difficult than the prior three weeks, so be prepared for that. Overall, I really enjoyed the class.
Thanks, I enjoyed the course teaching and new knowledge. Looking forward to continue with the next course in this specialization.
I really like how there were lots of examples for us to practice on. It helped to reinforce what we were learning
This is a great course, I think people starting this should get a grasp of basic statistics and working knowledge of excel to make the learning experience much better. However, I think this course is straightforward and the instructor does go over the material very well! Topics on time series forecasting is a bit of a challenge but follow the videos and exercises, you will be fine:)
A really great introduction to the next level of data analytics in a setting specialised for predictive data modelling. I did this ahead of a job as a Junior Merchandiser where I will be working a lot with predictive data to forecast stock flow for a busy hotel and restaurant. I feel much more confident with the excel and data manipulation functions that I will inevitably be using everyday! I'm dropping 1 star because I was not aware this course, especially the later modules would be dealing quite heavily with mathematical formulae, however this did add a great depth to my understanding, but was quite confusing to get my head around! The real life excel examples and downloads though will be invaluable as I advance in my data driven career :D
Great course. Easy to follow through. A suggestion would be to make a compilation of all the formulas on a doc for ease.
It is one of the best compact course in Excel spreadsheet in coursera. It covers several advanced topics in Statistics and Data Analysis by using a lot of advanced techniques in Excel combining with the corresponding literacy.
The main syllabus prepares someone to follow other methods in Machine Learning and Time-series Statistics (like, ARIMA) or Classification Methods, even though to learn these important methods. It was a happy moment to learn about data cleaning and several concepts like Pivot Tables, Interaction Statistics, Seasonal Analysis,... etc.
After this successful attendance, I am very confident to work on Prediction Analysis by using a spreadsheet and being able to explain what happens in different numerical results and graphs. This course applies as a complement unit to a solid background in statistics and mathematics (i.e., series expansion, F-test, etc) for a better understanding of the common stochastic models in Time-series module. It is not a mathematically oriented unit but the mathematics is the basic thinking.
A special note: This course gives a first view of Excel Solver for optimization problems that is important to the course 3 of this specialization.
This course is the basic of business analytic course but not easy for me because my English is not good. Instructor De Liu teach easy to listen ,clearly and very helpfully for choosing accuracy data analytic model with demonstrated examples. I don't good at in English but I can listen and understood the lesson that you can learn 30 minute/day very short and suitable for study among working day.
J'ai trouvé ce module équilibré, une entrée en douceur dans le monde de la modélisation prédictive, mais qui très vite va dans des éléments concrets et d'un niveau plus que correct. J'ai réalisé ce cours dans le cadre de ma thèse (phd Student) en France, plus une curiosité qu'un besoin, mais c'était vraiment très bien. Peut être que la semaine 4 est un peu plus difficile que les autres !
Really enjoyed this course! I'd been introduced to a few of these topics a long while ago, and they never fully made sense in prior attempts. De Liu did a wonderful job of explaining the concepts, what was happening, which model was appropriate, and how it worked. The hands-on examples and exercises really helped with my understanding.
Loved the forecasting lecture. I've used other forecasting methods but learned the composite method first time. Highly recommended course for supply chain and manufacturing students and professionals.
This course is amazing. very well structured and logical teaching sequence and explaination. I've learned through this course more than the lectures from my university. thanks a lot !
Best course structure, very practical, the professor presents very well and easy to follow. I like the exercises and snap quiz within videos. One of my best course so far on Coursera.
Un acercamiento a modelos matemáticos para hacer estimaciones bastante interesantes, con un método de enseñanza agradable mostrando aplicaciones frecuentemente a cada tema enseñado
This course did a great job of covering many topics and explaining their applications so that you can use the tools in real world scenarios.
Great course, good topic material and examples and well taught. Overall it was useful and relevant.
Highly impressed with the methodology and concepts given by the focal person... Thanks and Love
Thank you De Liu, I thoroughly enjoyed this predictive modeling hands-on tech course !
A well planned course on predictive modelling with hands on practice on MS Excel.
Demasiado importante todo lo que enseñan.Muy practico para la vida profesional.