Statistics Made Easy by Example for Analytics/ data science (Udemy.com)
Statistics Simplified - Statistics Made Easy by Excel Simulations. Master fundamentals of statistics & Probability.
Created by: Gopal Prasad Malakar
Produced in 2019
What you will learn
- By the end of this course, you should become very comfortable with popular concepts of statistics
- You should know the genesis of popular statistical concepts
- You should know how you apply it in business problem
- You should have the required course material for referral
Quality Score
Overall Score : 88 / 100
Course Description
This course promises that students will
Learn the statistics in a simple and interesting way Know the business scenarios, where it is applied See the demonstration of important concepts (simulations) in MS Excel Practice it in MS Excel to cement the learning Get confidence to answer questions on statistics Be ready to do more advance course like logistic regression etc.
Course Material
The course comprises of primarily video lectures. All Excel file used in the course are available for download. The complete content of the course is available to download in PDF format.
How long the course should take?
It should take approximately 25 hours for good grasp on the subject.
Why take the course
To understand statistics with ease Get crystal clear understanding of applicability Understand the subject with the context See the simulation before learning the theory Who this course is for:
MBA StudentsStatistics professionalsStatistics studentsAnalytics professionalsData analytics folksIT folks, Reporting Engineers who want to build their career into analytics or statistical analysis / market research
Instructor Details
- 4.4 Rating
79 Reviews
Gopal Prasad Malakar
I am a seasoned Analytics professional with 18+ 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 / Rprogram details (syntax and options)
- SAS / R output deep dive
- Practical usage in Industrial situation
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