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Statistics Made Easy by Example for Analytics/ data science

Statistics Simplified - Statistics Made Easy by Excel Simulations. Master fundamentals of statistics & Probability.
3.5
3.5/5
(357 reviews)
2,332 students
Created by

9.1

CourseMarks Score®

9.5

Freshness

7.5

Feedback

9.6

Content

Platform: Udemy
Video: 15h 48m
Language: English
Next start: On Demand

Top Statistics courses:

Detailed Analysis

CourseMarks Score®

9.1 / 10

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

Freshness Score

9.5 / 10
This course was last updated on 1/2021 .

Course content can become outdated quite quickly.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.

Student Feedback

7.5 / 10
We analyzed factors such as the rating (3.5/5) 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.

Content Score

9.6 / 10
Video Score: 10.0 / 10
The course includes 15h 48m 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 5 hours 48 minutes of 120 Statistics courses on Udemy.
Detail Score: 8.9 / 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:

3 articles.
19 resources.
0 exercise.
0 test.

Table of contents

Description

What is the course about?
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

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

Requirements

• Familiarity with Microsoft Excel basics
• Students should be able to check formula used in excel after downloading

This course is for

• MBA Students
• Statistics professionals
• Statistics students
• Analytics professionals
• Data analytics folks
• IT folks, Reporting Engineers who want to build their career into analytics or statistical analysis / market research

How much does the Statistics Made Easy by Example for Analytics/ data science course cost? Is it worth it?

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 $12.1 of 120 Statistics courses on Udemy.

Does the Statistics Made Easy by Example for Analytics/ data science course have a money back guarantee or refund policy?

YES, Statistics Made Easy by Example for Analytics/ data science has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any SCHOLARSHIPS for this course?

Currently we could not find a scholarship for the Statistics Made Easy by Example for Analytics/ data science course, but there is a $5 discount from the original price ($19.99). So the current price is just $14.99.

Who is the instructor? Is Gopal Prasad Malakar a SCAM or a TRUSTED instructor?

Gopal Prasad Malakar has created 17 courses that got 9,899 reviews which are generally positive. Gopal Prasad Malakar has taught 107,889 students and received a 4.3 average review out of 9,899 reviews. Depending on the information available, Gopal Prasad Malakar is a TRUSTED instructor.
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

9.1

CourseMarks Score®

9.5

Freshness

7.5

Feedback

9.6

Content

Platform: Udemy
Video: 15h 48m
Language: English
Next start: On Demand

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