# Statistics skills with Excel for Data Analysis

Reach unique and effective Statistical skills with excel as a futur data analyst

What you will learn

### know how to do interpretation for Lonrenz Curve and Gini index

Description

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 donâ€™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 iâ€™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.

English
language

Content

Introduction

ECC

FCC

CENTER OF CLASS

### mean

calculating the mean

### mode

calculating the mode

### median

calculating the median

### Quartile 25

Calculating the quartile 25

### Quartile 75

Calculating the quartile 75

MIN/MAX/EXTENT

### Variance

calculating the variance

### standard deviation

calculating the square root

### Organize the whole statistical values

statistical values and interpretation of it

### Lorenz curve and gini index

in the case of highly concentrated statistical values

### Lorenz curve and Gini Index

in the case of highly dispersed statistical value

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