Statistics Made Easy by Example for Analytics/ data science
- 4.4
-
![]()
![]()
![]()
![]()
Brief Introduction
Statistics Simplified - Statistics Made Easy by Excel Simulations. Master fundamentals of statistics & Probability.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
Requirements
- Requirements
- Familiarity with Microsoft Excel basics
- Students should be able to check formula used in excel after downloading
Gopal Prasad Malakar
4.4 Raiting
Machine Learning & Deep Learning in Python & R
- 4.4
-
![]()
![]()
![]()
![]()
![]()
Covers Regression, Decision Trees, SVM, Neural Networks, CNN, Time Series Forecasting and more using both Python & R You've found the right Machine Learning course!...
SAS Programming from Scratch & Practice Case Studies workout
- 3.9
-
![]()
![]()
![]()
![]()
![]()
Learn SAS programming through data workout. See sorting, merging, appending, graphs, tabulate, statistical procedure etc Learn SAS programming from industrial usage perspective....
Logistic Regression in R Studio
- 4.4
-
![]()
![]()
![]()
![]()
![]()
Logistic regression in R Studio tutorial for beginners. You can do Predictive modeling using R Studio after this course. After completing this course, you will be able to:...
Mathematics & Statistics of Machine Learning & Data Science
- 4.2
-
![]()
![]()
![]()
![]()
![]()
Learn Mathematics and Statistics of Machine Learning, Artificial Intelligence, Neural Networks and Deep Learning || DATA SCIENCE || What Does a Data Scientist Do?...
