Learn The Fundamentals Of Data Analytics (Without Coding!)

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

Requirements

There are no prerequisites for this course.

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!

Overview

Section 1: Introduction

Lecture 1 Structure of the course

Section 2: The basics of Descriptive Statistics

Lecture 2 Definition of Data Analysis

Lecture 3 Data Tables, Database and Views

Lecture 4 Definition of Descriptive Statistics

Lecture 5 Vocabulary of Descriptive Statistics

Lecture 6 Frequency and Percentage

Lecture 7 The mode

Lecture 8 The mean

Lecture 9 The median

Lecture 10 The quartiles

Lecture 11 The range and the interquartile range

Lecture 12 The variance and the standard deviation

Lecture 13 Measures of skewness

Lecture 14 Measures of kurtosis

Lecture 15 The correlation

Section 3: Data Visualization

Lecture 16 Definition of Data Visualization

Lecture 17 Bar charts and histograms

Lecture 18 Box plots

Lecture 19 Line charts

Lecture 20 Stacked area charts

Lecture 21 Pie charts

Lecture 22 Scatter plots

Lecture 23 Sankey diagrams

Lecture 24 The correlation matrix

Lecture 25 Other examples of data visualization

Section 4: Pitfalls to avoid

Lecture 26 How to lie with Statistics

Lecture 27 Correlation does not imply causation

Lecture 28 The dangers of the mean

Lecture 29 The trap of seasonality

Lecture 30 The misleading axis

Lecture 31 Sample size too small

Lecture 32 The selection bias

Lecture 33 The trap of one dimensional analysis

Lecture 34 The Simpson's paradox

Section 5: Data Analysis in Business

Lecture 35 The corporate Data Analysis "jargon"

Lecture 36 The best tools for data analysis

Lecture 37 AB testing

Lecture 38 Qualitative study

Lecture 39 Do I need to be good at maths ? at stats ? at coding ? at AI ?

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