Learn the fundamentals of Data Analytics

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Louis Explique les Maths

4:02:31

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1 - Introduction

1 - Structure of the course.mp4

01:19

2 - The basics of Descriptive Statistics

2 - Definition of Data Analysis.mp4

05:35

3 - Data Tables Database and Views.mp4

04:01

4 - Definition of Descriptive Statistics.mp4

00:48

5 - Vocabulary of Descriptive Statistics.mp4

04:38

6 - Frequency and Percentage.mp4

07:45

7 - The mode.mp4

04:05

8 - The mean.mp4

08:18

9 - The median.mp4

05:52

10 - The quartiles.mp4

06:42

11 - The range and the interquartile range.mp4

05:23

12 - The variance and the standard deviation.mp4

11:14

13 - Measures of skewness.mp4

06:30

14 - Measures of kurtosis.mp4

01:32

15 - The correlation.mp4

11:45

3 - Data Visualization

16 - Definition of Data Visualization.mp4

01:40

17 - Bar charts and histograms.mp4

10:40

18 - Box plots.mp4

10:36

19 - Line charts.mp4

07:44

20 - Stacked area charts.mp4

08:57

21 - Pie charts.mp4

08:44

22 - Scatter plots.mp4

08:58

23 - Sankey diagrams.mp4

06:04

24 - The correlation matrix.mp4

06:38

25 - Other examples of data visualization.mp4

05:21

4 - Pitfalls to avoid

26 - How to lie with Statistics.mp4

03:14

27 - Correlation does not imply causation.mp4

06:11

28 - The dangers of the mean.mp4

07:01

29 - The trap of seasonality.mp4

04:48

30 - The misleading axis.mp4

02:55

31 - Sample size too small.mp4

09:10

32 - The selection bias.mp4

07:20

33 - The trap of one dimensional analysis.mp4

05:56

34 - The Simpsons paradox.mp4

04:56

5 - Data Analysis in Business

35 - The corporate Data Analysis jargon.mp4

07:36

36 - The best tools for data analysis.mp4

05:28

37 - AB testing.mp4

06:44

38 - Qualitative study.mp4

03:57

39 - Do I need to be good at maths at stats at coding at AI.mp4

06:26

Description

Become a Data Analyst and explore data with descriptive statistics and data visualization!

What You'll Learn?

The basics of descriptive statistics (which allows you to summarize information)
Data visualization (which allows data to be represented graphically)
Traps to avoid (when analyzing data and which it is easy to fall into)
Data analysis in the business environment

Who is this for?

Data analysts who already work in a company and who would like to master the fundamentals more

Students who have taken statistics courses and would like to go further by exploring more practical cases

The curious who are interested in an in-depth understanding of data

What You Need to Know?

There are no prerequisites for this course.

More details

Description
If you want to master the fundamentals of Data Analysis, this course is perfect for you!

To interpret a massive amount of data that nobody understands, you need to know the basics of data analysis.
My name is Louis, and I have been a data analyst for several years now.
In this course, we will review all the fundamental concepts to analyze data.

This course is designed for three categories of people:

Firstly, data analysts who are already working in companies and would like to further master the fundamentals.
Secondly, students who have taken statistics courses and would like to explore more practical cases.
And finally, the curious ones who are interested in a deep understanding of data.

In this course, we will cover:

The basics of descriptive statistics (which allows us to summarize information).
Data visualization (which allows us to represent data graphically).
Pitfalls to avoid when analyzing data and common mistakes to be aware of.
Finally, we will talk about data analysis in business.

For those without technical skills, don't worry, this course is designed to be accessible to all levels, without requiring any prior knowledge of programming or the use of specific tools.

The objective of this course is for you to truly understand the fundamentals of data analysis.

You will be guided through your learning in a dynamic environment.
This course aims to be clear and well-structured. You will find:

Theoretical concepts explained progressively.
Many examples to illustrate the theory.
Regular reminders to make connections between sections.

If you want to master the fundamentals of data analysis, this course is perfect for you!
Are you ready to begin? See you very soon!
Who this course is for:
Data analysts who already work in a company and who would like to master the fundamentals more
Students who have taken statistics courses and would like to go further by exploring more practical cases
The curious who are interested in an in-depth understanding of data

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Je suis entrepreneur, data analyst et formateur sur la plateforme de vente de cours en ligne Udemy. Je suis ingénieur de gestion, diplômé en 2020 de l'Université Libre de Bruxelles (Faculté Solvay). Les cours que j'ai suivis à l'université m'ont permis d'acquérir de solides bases en mathématiques, statistiques, physique, chimie et finance que je partage à travers mes cours.Je donne des cours privés de maths depuis 8 ans. J'ai commencé à donner des cours privés pour l'entreprise "Academia Mentis" avant de me lancer en indépendant sur la plateforme "Superprof". Durant ces années, j'ai aidé de nombreux élèves en difficulté scolaire à réussir leurs examens.Animé par l'envie d'en faire plus et de toucher plus de personnes, j'ai commencé à publié mes cours sur Internet. ‍

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