The analytics process is a collection of interrelated activities that lead to better decisions and to a higher business performance. The capstone of this specialization is designed with the goal of allowing you to experience this process. The capstone project will take you from data to analysis and models, and ultimately to presentation of insights. In this capstone project, you will analyze the data on financial loans to help with the investment decisions of an investment company. You will go through all typical steps of a data analytics project, including data understanding and cleanup, data analysis, and presentation of analytical results. For the first week, the goal is to understand the data and prepare the data for analysis. As we discussed in this specialization, data preprocessing and cleanup is often the first step in data analytics projects. Needless to say, this step is crucial for the success of this project. In the second week, you will perform some predictive analytics tasks, including classifying loans and predicting losses from defaulted loans. You will try a variety of tools and techniques this week, as the predictive accuracy of different tools can vary quite a bit. It is rarely the case that the default model produced by ASP is the best model possible. Therefore, it is important for you to tune the different models in order to improve the performance. Beginning in the third week, we turn our attention to prescriptive analytics, where you will provide some concrete suggestions on how to allocate investment funds using analytics tools, including clustering and simulation based optimization. You will see that allocating funds wisely is crucial for the financial return of the investment portfolio. In the last week, you are expected to present your analytics results to your clients. Since you will obtain many results in your project, it is important for you to judiciously choose what to include in your presentation. You are also expected to follow the principles we covered in the courses in preparing your presentation.
DM
The content of the overall specialisation was excellent. Difficult topic and learnt a lot. Frustration with the high number of empty or plagiarised assignment submissions that waste everyone's time.
RA
Great List of Courses for People who are interested
OD
It's been a great opportunity to practically apply knowledge I got over the specialization. Highly recommended.
LK
in week 3 analysis it was not taught during the course
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I dont like that we only can finish the course using a paid software.
I took the Advanced Business Analytics Specialization as a full time student. I finished the first four courses in more or less 3 weeks. In the last course needed to take the Specialization Certificate, the Advanced Business Analytics Capstone, the assignments of the course during the 2nd-3rd-4rth week were locked until 20 December - 5 January. That means that I had to wait more than one month, and pay 2 more subscriptions to Coursera!!! In the forum of the class there are more than 20 moderators, none of them has even one reply in anything. I made a thread, nonone replied to me. I contacted the customer service, they told me that they are sorry and they cannot change it.
This is not a policy of an educational institute, this is an attitude that wants to take only your money. If you want your certificate, come back after two months AND KEEP PAYING!! I canceled my subscription, I do not want the certificate, I want to cooperate with organization that respect my effort, my time, my money, to respect me.
This is a very poorly structured course. Assignments are not clear. The grading rubrics have multiple errors.
For example, week 1 Assignment: "Data visualization - part A. Create a plot to illustrate the distribution of interest rate (int_rate). Make sure to use a plot appropriate for illustrating distribution."
Distribution plots are histograms, density plots and dot plots. The rubric first asks if one of those plots was used. Then the next question grades THIS SAME PLOT based on relationship between two variables (scatterplot), NOT distribution. I correctly plotted a histogram, but lost a point because it was not a scatterplot?! It's not supposed to be!
Another example from the same assignment: "Are there columns that have rows with missing values or outliers? The missing values are tagged as NA in the dataset. Suggest strategies to handle them."
4 points
8 correct columns identified as having outliers (installment, annual_inc, revol_bal,revol_util, total_acc, acc_open_past_24mths, and total_pymnt) and strategies to handle them suggested
3 points
At least 6 correct columns identified
etc.
There are only 7 columns with outliers!!! You list them and only them in the first answer choice. Yet I lost a point because it's not 8 columns!!!
The ASP is a joke. It is SLOOOOW. Like, the assignment that should have taken me an hour to do turned into 6 because the platform would crash every 30 seconds. I can't believe anyone actually pays to use it. We'd be much better off using a programming language like R or Python to do these assignments.
Also, the assignments that depend on running a model in ASP should specify what random seed to use in partitioning the data, what exact classification tree type to use, so that we would all get same answers, and it would be easier to grade other people's work.
The rest of this specialization was great, but this last course just ruined the whole impression for me.
New content and forum help are poor, but my main complaint is that there's not a free alternative for the software required, not proposed at least.
very bad learning experience
This was a challenging yet relevant capstone course. The assignment really pushes you to understand the course material, and to go back and review it if not.
I recommend using tools other than the Analytical Solver Platform if you know how, e.g. Jupyter. The data set will absolutely not work on the cloud version of the solver (the VM/server hangs and crashes with every operation). The Mac version of the solver is useless for the second week, but does the third week of the assignment just fine (simulation & optimization). The Windows version of solver works flawlessly on Excel - I wasted so much time getting it to run on the Mac, don't even bother.
I've harped on ASP in previous reviews, so I won't score the course down again, since I took it of my own volition knowing I'd have to use the software. This course deserves a full 5 of 5 stars!
I am waiting since two weeks for a review of my assignment to finish this course. Its just sad. There are no proper contact adresses and this whole thing is a ghost town.
If there is anyone out there, like a real person, could you pleeeeaaaase review this: https://www.coursera.org/learn/data-analytics-business-capstone/peer/ReYrZ/present-your-analytics-results-to-your-clients/review/XLWw50iZEeydTBIRog-BNw
It will only take 3 minutes. And will be thankful. Cheers, Julian
Unnecessary video content.
Project could be added in as a part of courses.
Very appreciate the guidance and support from professors and students during this special time. I took much time to review what i learned from previous sessions, and better understand the connection of data and use the tools and models. It will be a new start for my journey.
Stay safe, healthy and happy!!!
It's been a great opportunity to practically apply knowledge I got over the specialization. Highly recommended.
Was a great capstone!
excellent course!
The course design is fine. It's very helpful to put the knowledge learnt into real problem. However, the software functions strangely. It sometimes doesn't work without any reason. A better software should be chosen in future.
Great List of Courses for People who are interested
I enjoyed plenty learning about so many interesting tools and models available. Thank you!
Only posible to be acomplished by having ASAP software. The guidelines are not enough.
This is the worst course i have ever done. You need to update this out dated course materials
best course for student
Amazing journey
The content of the overall specialisation was excellent. Difficult topic and learnt a lot. Frustration with the high number of empty or plagiarised assignment submissions that waste everyone's time.