Introduction To Data Visualization

Simple and Advanced Charts: Bar Chart, Pie Chart, Line Chart, Stacked Area Chart, Scatter Plot, Regression Line Plot

What you'll learn

Techniques for choosing an appropriate visualization based on your data

Approaches to choosing the best colors scheme for a professional presentation

How to analyze and interpret basic charts such as bar chart and pie chart

How to analyze and interpret more advanced charts such as histograms, line charts, scatter plots, stacked area charts

Steps to analyze and interpret combination charts like regression plots and bar and line charts

Guidelines and advice on how to build professional data visualizations

What to try and avoid when creating a certain type of graphic

How to recognize a well-made visualization and identify problem areas for a chart or graphic

Requirements

You’re a curious person with a desire to learn

You are motivated and you want to enhance your data visualization skills

Description

Do you wish you had superior data interpretation skills?Does your workplace require data visualization proficiency?Do you wish to learn about a rich variety of graphs and charts?If you answered “yes” to any of these questions, this is the course for you.Data visualization is the face of data. Many people look at the data and see nothing. The reason for that is that they are not creating good visualizations. Or even worse – they are creating nice graphs but cannot interpret them accurately.That’s why we’ve created the ‘Introduction to Data Visualization Course’. To help you better understand and interpret different types of charts:Graphs and charts included in the Complete Data Visualization Course:· Bar chart· Pie chart· Stacked area chart· Line chart· Histogram· Scatter plot· Scatter plot with a trendline (regression plot)We live in the age of data. And being able to gather good data, preprocess it, and model it is crucial.However, there is nothing more important than being able to interpret that data. And data visualization allows us to achieve just that. At the end of the day, data charts are what conveys the most information in the shortest amount of time. And nothing speaks better than a well-crafted and meaningful data visualization.The skills you acquire during the course will help you develop an analytical approach when creating any type of chart based on the data you’re given.At the same time, you’ll be able to interpret charts in general, so you’ll be on top of your game whenever you’re examining someone else’s work. You’ll be able to gain insight from a chart in a short amount of time, as well as spot if something is wrong or missing from a visualization.Why do you need these skills?1. Salary/Income – careers in the field of data science are some of the most popular in the corporate world today. Literally every company nowadays needs to visualize their data, therefore the data viz position is very well paid2. Promotions – being the person who creates the data visualizations makes you the bridge between the data and the decision-makers; all stakeholders in the company will value your input, ensuring your spot on the strategy team3. Secure future –understanding data in today’s world is the most important skill to possess and it is only developed by seeing, visualizing and interpreting many datasetsPlease bear in mind that the course comes with Udemy’s 30-day money-back guarantee. And why not give such a guarantee? We are certain this course will provide a ton of value for you.Let's start learning together now!

Overview

Section 1: Introduction to The Course

Lecture 1 What Does the Course Cover

Lecture 2 Why Learn Data Visualization

Lecture 3 How to Choose the Right Charts based on Your Data

Lecture 4 Color Theory and Colors

Section 2: Bar Chart

Lecture 5 Bar Chart - Introduction - General Theory and Dataset

Lecture 6 Bar Chart - Interpretation & How to Make a Good Bar Chart

Section 3: Pie Chart

Lecture 7 Pie Chart - Introduction - General Theory and Dataset

Lecture 8 Pie Chart - interpreting the Pie Chart

Lecture 9 Pie Chart - What is Wrong With Using a Pie Chart

Section 4: Stacked Area Chart

Lecture 10 Stacked Area Chart - Introduction - General Theory and Dataset

Lecture 11 Stacked Area Chart - interpreting the Stacked Area Chart

Lecture 12 Stacked Area Chart - How to Make a Good Stacked Area Chart

Section 5: Line Chart

Lecture 13 Line Chart - Introduction - General Theory and Dataset

Lecture 14 Line Chart - interpreting the Line Chart

Lecture 15 Line Chart - What Makes a Good Line Chart

Section 6: Histogram

Lecture 16 Histogram - Introduction - General Theory and Dataset

Lecture 17 Histogram - interpreting the Histogram

Lecture 18 Histogram - Choosing the Number of Bins in a Histogram

Lecture 19 Histogram - How to Make a Good Histogram

Section 7: Scatter Plot

Lecture 20 Scatter Plot - Introduction - General Theory and Dataset

Lecture 21 Scatter Plot - interpreting the Scatter Plot

Lecture 22 Scatter Plot - How to Make a Good Scatter Plot

Section 8: Combo Plots Part 1 - Scatter and Trendline (Regression Plot)

Lecture 23 Regression Plot - Introduction - General Theory and Dataset

Lecture 24 Regression Plot - Interpreting the Regression Plot

Lecture 25 Regression Plot - How to Make a Good Regression Scatter Plot

Section 9: Combo Plots Part 2 - Bar and Line

Lecture 26 Bar and Line Chart - Introduction - General Theory and Dataset

Lecture 27 Bar and Line Chart - Interprеting the Combination Chart

Lecture 28 Bar and Line Chart - How to Make a Good Combination Chart

People interested in data visualization,The course is also ideal for beginners, as it starts from the fundamentals and gradually builds up your skills,Anyone who wants to gain a valuable skill