Classbaze

Disclosure: when you buy through links on our site, we may earn an affiliate commission.

Applied Analytics (business application – non mathematical)

Basics of Risk, Marketing, Collections, Operations & Fraud Analytics. Know the objective, techniques & Success stories
4.0
4.0/5
(164 reviews)
4,661 students
Created by

7.8

Classbaze Grade®

6.6

Freshness

7.2

Popularity

9.1

Material

Basics of Risk
Platform: Udemy
Video: 3h 40m
Language: English
Next start: On Demand

Best Business Analytics classes:

Classbaze Rating

Classbaze Grade®

7.8 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness

6.6 / 10
This course was last updated on 7/2019.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Popularity

7.2 / 10
We analyzed factors such as the rating (4.0/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Material

9.1 / 10
Video Score: 8.1 / 10
The course includes 3h 40m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 2 hours 05 minutes of 319 Business Analytics courses on Udemy.
Detail Score: 9.3 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.9 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

5 articles.
2 resources.
0 exercise.
0 test.

In this page

About the course

What is this course about?
Part 1 of this course is all about applied analytics (by business analytics verticals)
•Course Overview : Basics of Risk, Marketing, Collections, Operations & Fraud Analytics. Know the objective, tools & techniques used. •Birds Eye View of Analytics Verticals,  their goals and inter linkage – Which are the analytics vertical. What are their primary goals.•Common Industry Terms – Understand terms like Loan types, billing cycle, due date, delinquency etc.•Marketing Analytics Overview – Objective and levers – what is the objective of marketing analytics. What are there main levers.•MA 01 Increase / Maintain Base (more new customer, stop customer churn / attrition) : Marketing Analytics 01 – How can you maintain & increase customer base. What metrics you should look. What are the applicable techniques.•MA 02 Increase Revenue per customer (cross sell ) – Marketing Analytics 02 A – How to increase revenue per customer through xsell•MA 03 Marketing Campaigns and it’s effectiveness measurement – Marketing Analytics 02 B -what is campaign? How do you measure campaign effectiveness•Risk Analytics Overview – Objective and levers – What is primary goal of risk analytics?•RA 01 Application Approval n Application Fraud prevention – Understand about 1. application approval process and 2. application fraud prevention•RA 02 Authorization & Transaction Fraud prevention – Prevent bad usage of the card and prevent transaction fraud •RA 03 Credit Limit Management – CLI (Credit Limit Increase) and CLD (Credit Limit Decrease)•Collections Analytics Overview -•CA 01 Best Practices of Collections Strategy for Early / Middle Late stage accounts-Understand two different school of thoughts for collection•CA 02 Collections Operations – how to contact & understand training needs of agents•Customer Services (find what customer wants) or Operations Analytics (detect internal fraud)Part 2 of this course is a collection of case study on analytics from various industries. It will help users to know about how analytics has helped to meet customer demand with efficiency. It has 
•Case Study from Health Care Industry•Case Study from Telecom Industry•Case Study from Automobile Industry•Case Study from Transport Industry•Case Study from Electroni Case Study Industry•Case Study from Entertainment Industry•Case Study from Retail Chain Industry•Case Study from Sport Industry•Case Study from Cement Supply Business•Case Study from On Line Business•Case Study from Google Apps•Case Study from Contact Center

Terminology To be used by Target Audience to find this course
•Analytics Case Study•Analytics Case Studies•Case Study on Analytics•Case Studies on Analytics•Analytics success stories•Using Analytics for customer success•Analytics applications•Application of AnalyticsCourse Contents
Course contains HD videos and PDF file.
Course Duration
Ideally it should take just 4 hours to complete it.
What is in it for the reader
Reader will get to know, how analytics has resulted into many success stories. It has created a win-win situation where customer is happy and firm is gaining.

Why Take this course?
This ensures that you get to know wide applicability of analytics across various industries. It is a collections of many popular analytics success stories.

What can you learn from this course?

✓ Learn about wide applicability of analytics across various industries
✓ Learn that analytics results in win-win scenario (good for customer and firm)

What you need to start the course?

• The course is non technical. It is more of collection of success stories based on analytics usage.

Who is this course is made for?

• Those who wishes to know about analytics usage
• Those who wishes to learn about sucess stories of analytics application

Are there coupons or discounts for Applied Analytics (business application - non mathematical) ? What is the current price?

The course costs $14.99. And currently there is a 25% discount on the original price of the course, which was $19.99. So you save $5 if you enroll the course now.
The average price is $4.8 of 319 Business Analytics courses. So this course is -212% cheaper than the average Business Analytics course on Udemy.

Will I be refunded if I'm not satisfied with the Applied Analytics (business application - non mathematical) course?

YES, Applied Analytics (business application – non mathematical) has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any financial aid for this course?

Currently we could not find a scholarship for the Applied Analytics (business application - non mathematical) course, but there is a $5 discount from the original price ($19.99). So the current price is just $14.99.

Who will teach this course? Can I trust Gopal Prasad Malakar?

Gopal Prasad Malakar has created 17 courses that got 10,363 reviews which are generally positive. Gopal Prasad Malakar has taught 110,120 students and received a 4.2 average review out of 10,363 reviews. Depending on the information available, we think that Gopal Prasad Malakar is an instructor that you can trust.
Trains Industry Practices on data science / machine learning
       I am a seasoned Analytics professional with 20+ years of professional experience. I have industry experience of impactful and actionable analytics, data science, decision strategy and enterprise wise data strategy. 
I am a keen trainer, who believes that training is all about making users understand the concepts. If students remain confused after the training, the training is useless. I ensure that after my training, students (or partcipants) are crystal clear on how to use the learning in their business scenarios. 
My expertise is in Credit Card Business, Scoring (econometrics based model development), score management, loss forecasting, business intelligence systems like tableau /SAS Visual Analytics, MS access based database application development,  Enterprise wide big data framework and streaming analysis. 
Please refer to my course for 
– SAS / R program details (syntax and options)
– SAS / R output deep dive
– Practical usage in Industrial situation
Browse all courses by on Classbaze.

7.8

Classbaze Grade®

6.6

Freshness

7.2

Popularity

9.1

Material

Platform: Udemy
Video: 3h 40m
Language: English
Next start: On Demand

Classbaze recommendations for you