×
Create CV Books Summaries Online Courses Blog Communities

Login

Sign up
MindLuster Logo
Categories
Recent

Descriptive Statistics by Python

Track :

Programming

Lessons no : 37

For Free Certificate After Complete The Course

To Register in Course you have to watch at least 30 Second of any lesson

Join The Course Go To Community Download Course Content

What will you learn in this course?
  • Master descriptive statistics in Python using built-in libraries and NumPy for data analysis and visualization
  • Apply Python's statistics functions to summarize datasets, calculate measures of central tendency, and analyze data distributions
  • Utilize Python to compute measures of variability, including range, variance, and standard deviation for real-world datasets
  • Implement data summarization techniques in Python to prepare datasets for further statistical analysis and reporting
  • Leverage Python's built-in tools and NumPy to handle small to medium-sized datasets efficiently in data analysis projects
  • Develop skills to interpret descriptive statistics results for informed decision-making in data-driven environments
  • Use Python to generate descriptive statistics reports that support data storytelling and presentation
  • Optimize data analysis workflows by combining Python's built-in statistics with NumPy for numerical computations
  • Identify appropriate descriptive statistics methods in Python for different types of datasets and research questions
  • Apply Python's descriptive statistics to identify data patterns, outliers, and data quality issues in datasets
  • Enhance data analysis accuracy by mastering Python techniques for calculating and visualizing descriptive statistics
  • Build foundational skills in Python for descriptive statistics to support advanced data analysis and machine learning tasks

How to Get The Certificate

  • You must have an account Register
  • Watch All Lessons
  • Watch at least 50% of Lesson Duration
  • you can follow your course progress From Your Profile
  • You can Register With Any Course For Free
  • The Certificate is free !
Lessons | 37
Statistics by Python Introduction {إحصاء بالعربى والبايثون}
00:04:08

Statistics by Python Introduction {إحصاء بالعربى والبايثون}
01 Sample Mean {إحصاء بالعربى والبايثون}
00:04:56

01 Sample Mean {إحصاء بالعربى والبايثون}
02 Sample Mean Implementation {إحصاء بالعربى والبايثون}
00:14:37

02 Sample Mean Implementation {إحصاء بالعربى والبايثون}
03 Population weighted categorical {إحصاء بالعربى والبايثون}
00:08:12

03 Population weighted categorical {إحصاء بالعربى والبايثون}
04 Median {إحصاء بالعربى والبايثون}
00:09:39

04 Median {إحصاء بالعربى والبايثون}
05 Median Implementation {إحصاء بالعربى والبايثون}
00:08:47

05 Median Implementation {إحصاء بالعربى والبايثون}
06 Mode {إحصاء بالعربى والبايثون}
00:03:58

06 Mode {إحصاء بالعربى والبايثون}
07 Mode Implementation {إحصاء بالعربى والبايثون}
00:07:07

07 Mode Implementation {إحصاء بالعربى والبايثون}
08 Variance and Standard Deviation {إحصاء بالعربى والبايثون}
00:06:13

08 Variance and Standard Deviation {إحصاء بالعربى والبايثون}
09 Standard deviation Implementation {إحصاء بالعربى والبايثون}
00:08:58

09 Standard deviation Implementation {إحصاء بالعربى والبايثون}
10 Range Quartiles and Boxplot {إحصاء بالعربى والبايثون}
00:09:00

10 Range Quartiles and Boxplot {إحصاء بالعربى والبايثون}
11 Quartiles and Boxplot Implementation {إحصاء بالعربى والبايثون}
00:06:19

11 Quartiles and Boxplot Implementation {إحصاء بالعربى والبايثون}
12 Frequency Distribution and Histogram {إحصاء بالعربى والبايثون}
00:04:10

12 Frequency Distribution and Histogram {إحصاء بالعربى والبايثون}
13 Histogram Implementation {إحصاء بالعربى والبايثون}
00:07:18

13 Histogram Implementation {إحصاء بالعربى والبايثون}
14 Correction {إحصاء بالعربى والبايثون}
00:01:17

14 Correction {إحصاء بالعربى والبايثون}
15 Cumulative Frequency Distribution {إحصاء بالعربى والبايثون}
00:03:41

15 Cumulative Frequency Distribution {إحصاء بالعربى والبايثون}
16 Density Cumulative Frequency Distribution {إحصاء بالعربى والبايثون}
00:02:20

16 Density Cumulative Frequency Distribution {إحصاء بالعربى والبايثون}
17 Frequency Distribution Uniform Distribution {إحصاء بالعربى والبايثون}
00:08:45

17 Frequency Distribution Uniform Distribution {إحصاء بالعربى والبايثون}
18 Frequency Distribution Normal Distribution {إحصاء بالعربى والبايثون}
00:06:01

18 Frequency Distribution Normal Distribution {إحصاء بالعربى والبايثون}
19 Normal Distribution Implementation {إحصاء بالعربى والبايثون}
00:05:25

19 Normal Distribution Implementation {إحصاء بالعربى والبايثون}
20 Normal Distribution CDF standard {إحصاء بالعربى والبايثون}
00:10:37

20 Normal Distribution CDF standard {إحصاء بالعربى والبايثون}
21 Standard Normal Distribution Implementation {إحصاء بالعربى والبايثون}
00:14:01

21 Standard Normal Distribution Implementation {إحصاء بالعربى والبايثون}
22 Standard Normal Dist Implementation continue {إحصاء بالعربى والبايثون}
00:03:16

22 Standard Normal Dist Implementation continue {إحصاء بالعربى والبايثون}
Numpy Introduction {بايثون بالعربى}
00:10:03

Numpy Introduction {بايثون بالعربى}
Numpy Create ndarray {بايثون بالعربى}
00:08:41

Numpy Create ndarray {بايثون بالعربى}
Numpy Indexing and Slicing {بايثون بالعربى}
00:09:41

Numpy Indexing and Slicing {بايثون بالعربى}
Numpy Indexing and Slicing Implementation {بايثون بالعربى}
00:11:24

Numpy Indexing and Slicing Implementation {بايثون بالعربى}
Numpy Element Wise Operators and Broadcasting {بايثون بالعربى}
00:07:08

Numpy Element Wise Operators and Broadcasting {بايثون بالعربى}
Numpy Element Wise Operators and Broadcasting Implementation {بايثون بالعربى}
00:04:50

Numpy Element Wise Operators and Broadcasting Implementation {بايثون بالعربى}
Numpy for Statistics {بايثون بالعربى}
00:05:26

Numpy for Statistics {بايثون بالعربى}
23 Skewness as Symmetry measure {إحصاء بالعربى والبايثون}
00:07:41

23 Skewness as Symmetry measure {إحصاء بالعربى والبايثون}
24 Kurtosis as tailedness measure {إحصاء بالعربى والبايثون}
00:08:25

24 Kurtosis as tailedness measure {إحصاء بالعربى والبايثون}
25 Outliers abnormal values {إحصاء بالعربى والبايثون}
00:06:00

25 Outliers abnormal values {إحصاء بالعربى والبايثون}
26 Statistics recap Numpy Skewness Kurtosis Outliers {إحصاء بالعربى والبايثون}
00:15:47

26 Statistics recap Numpy Skewness Kurtosis Outliers {إحصاء بالعربى والبايثون}
27 Data Qualitative and Quantitative Uni Bi Multivariate {إحصاء بالعربى والبايثون}
00:08:56

27 Data Qualitative and Quantitative Uni Bi Multivariate {إحصاء بالعربى والبايثون}
28 Quantitative Data Association Correlation {إحصاء بالبايثون والعربى}
00:09:18

28 Quantitative Data Association Correlation {إحصاء بالبايثون والعربى}
29 Qualitative data Description ContingencyTable and Association Odds Ratio إحصاء بالعربى
00:06:51

29 Qualitative data Description ContingencyTable and Association Odds Ratio إحصاء بالعربى


We Appreciate Your Feedback

Be the First One Review This Course

Excellent
0 Reviews
Good
0 Reviews
medium
0 Reviews
Acceptable
0 Reviews
Not Good
0 Reviews
0
0 Reviews

Our New Certified Courses Will Reach You in Our Telegram Channel
Join Our Telegram Channels to Get Best Free Courses

Join Now

Related Courses

React Projects Workshops
33 Lessons

React Projects Workshops

Node js back end JavaScript
34 Lessons

Node js back end JavaScript

Python programming language
15 Lessons

Python programming language

Social Network Theme UI With Sass
4 Lessons

Social Network Theme UI With Sass

Full Stack React Django
7 Lessons

Full Stack React Django

Build a Node js App With Sequelize
3 Lessons

Build a Node js App With Sequelize

GraphQL With React Apollo
4 Lessons

GraphQL With React Apollo

Node js REST API With Restify Mongoose JWT
2 Lessons

Node js REST API With Restify Mongoose JWT

Full Stack Vue js Express MongoDB
3 Lessons

Full Stack Vue js Express MongoDB

Exploring Docker
3 Lessons

Exploring Docker

Responsive Portfolio Website
7 Lessons

Responsive Portfolio Website

The MERN Stack
12 Lessons

The MERN Stack

PHP REST API High level
3 Lessons

PHP REST API High level

Up unning With Symfony 4
3 Lessons

Up unning With Symfony 4

JavaScript Workshops
3 Lessons

JavaScript Workshops

PHP MySQL Stripe API Payment App
3 Lessons

PHP MySQL Stripe API Payment App

Python's statistics is a built-in Python library for descriptive statistics. You can use it if your datasets are not too large or if you can't rely on importing other libraries. NumPy is a third-party library for numerical computing, optimized for working with single- and multi-dimensional arrays .