Descriptive Statistics with Excel for Data Analytics
Descriptive Statistics with Excel for Data Analytics, available at Free, has an average rating of 3.9, with 15 lectures, based on 62 reviews, and has 2480 subscribers.
You will learn about Manipulate large amount of data with descriptive statistics Reach unique data analytics skills know how to do interpretation for statistical values know how to do interpretation for Lonrenz Curve and Gini index This course is ideal for individuals who are Beginner Data analysts It is particularly useful for Beginner Data analysts.
Enroll now: Descriptive Statistics with Excel for Data Analytics
Summary
Title: Descriptive Statistics with Excel for Data Analytics
Price: Free
Average Rating: 3.9
Number of Lectures: 15
Number of Published Lectures: 15
Number of Curriculum Items: 15
Number of Published Curriculum Objects: 15
Original Price: Free
Quality Status: approved
Status: Live
What You Will Learn
- Manipulate large amount of data with descriptive statistics
- Reach unique data analytics skills
- know how to do interpretation for statistical values
- know how to do interpretation for Lonrenz Curve and Gini index
Who Should Attend
- Beginner Data analysts
Target Audiences
- Beginner Data analysts
This course is designed to be an effective easy guide to those who passionate it to persue a career as a data analyst, you will learn not only the quantitative statistical method to but you will learn the why of things and know how to interpret the data linguistically and statistical values and concepts.
learn the most valuable concepts and unique one that a lot of people in the field of data analysis ignore it or don’t wanna share it, so you will discovre it with me in this course like lorenz curve and gini index that curve which is crucial in interpretating the situation of the data.
you will learn by following the content of the video and then apply it yourself in parallel to that, and i uploaded the file so you can see if you make some mistake along the way I guarantee you will find this course the most profitable and time saving as well as an opening to the next course where i’m gonna teach sql and r programming language for another statistical concepts confidence intervals, testing hypothesis, and probability theory based on as a said before easy effective way to manipulate the data, as well as google certification in data analytics preparation this is my promise for you to shine quickly and effectively as possible.
Course Curriculum
Chapter 1: Organize the data in the table
Lecture 1: Introduction
Chapter 2: growing cumulative ECC
Lecture 1: ECC
Chapter 3: Frequency cumulative
Lecture 1: FCC
Chapter 4: the center of class
Lecture 1: CENTER OF CLASS
Chapter 5: mean
Lecture 1: calculating the mean
Chapter 6: mode
Lecture 1: calculating the mode
Chapter 7: median
Lecture 1: calculating the median
Chapter 8: Quartile 25
Lecture 1: Calculating the quartile 25
Chapter 9: Quartile 75
Lecture 1: Calculating the quartile 75
Chapter 10: MIN/MAX/EXTENT
Lecture 1: MIN/MAX/EXTENT
Chapter 11: Variance
Lecture 1: calculating the variance
Chapter 12: standard deviation
Lecture 1: calculating the square root
Chapter 13: Pivot table
Lecture 1: statistical values and interpretation of it
Chapter 14: Lorenz curve and gini index
Lecture 1: in the case of highly concentrated statistical values
Chapter 15: Lorenz curve and Gini Index
Lecture 1: in the case of highly dispersed statistical value
Instructors
-
Yassir El khaloui
Statistician
Rating Distribution
- 1 stars: 9 votes
- 2 stars: 9 votes
- 3 stars: 15 votes
- 4 stars: 17 votes
- 5 stars: 12 votes
Frequently Asked Questions
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You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
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