The Data Visualization Course: Excel, Tableau, Python, R
What you'll learn
- Master data visualization
- Learn how to label and style a graph
- Interpret data
- Select the right type of chart
- Discover findings through data visualization
- Create stunning visualizations
- How to create a Bar chart
- How to create a Pie chart
- How to create a Stacked area chart
- How to create a Line chart
- How to create a Histogram
- How to create a Scatter plot
- How to create a Scatter plot with a trendline (regression plot)
Course content
- Preview05:14
- Preview06:08
- 1 questionQuiz 1
- Preview06:58
- 2 questionsHow to Choose the Right Visualization - Popular Approaches
- Preview08:56
- 1 questionColors and Color Theory
- 05:39How to Choose the Right Data Visualization Color Palette
- 08:02FAQ
Requirements
- No prior experience is required. We will start from the very basics
- You’ll need to install at least one of the 4 software (Excel, Tableau, Python, or R). We will show you how to do that step by step
Description
Do you want to learn how to create a rich variety of graphs and charts?
Do you wish you had superior data interpretation skills?
Does your workplace require data visualization proficiency?
Yes, yes, and most likely yes.
The Complete Data Visualization Course is here for you with TEMPLATES for all the common types of charts and graphs in Excel, Tableau, Python, and R!
These are 4 different data visualization courses in 1 course!
Whether your preferred environment is Excel, Tableau, Python, or R, this course will enable you to start creating beautiful data visualizations in no time!
You will not only learn how to create charts, but also how to label them, style them, and interpret them. Moreover, you will receive immediate access to all templates we work with in the lessons. Simply download the course files, replace the dataset, and amaze your audience!
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.
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.
This course will tackle both of these problems. We will make sure you can confidently create any chart that you need to provide a meaningful visualization of the data you are working with. Not only that – you will be able to label and style data visualizations to achieve a ready-for-presentation graph. Furthermore, through this course, you will learn how to interpret different types of charts and when to use them. We will provide examples of great charts as well as terrible charts. We will spare no effort in transforming you into the key person for data visualizations in any team.
We are confident that by the time you complete this course, creating and understanding data visualizations will be a piece of cake for you!
What makes this course different from the rest of the Data Visualization courses out there?
4 different data visualization courses in 1 course – we cover Excel, Tableau, Python and R
Ready-to-use templates for all charts included in the course
High-quality production – Full HD and HD video and animations crafted professionally by our experienced team of visual artists
Knowledgeable instructor team with experience in teaching on Udemy
Complete training – we will cover all common graphs and charts you need to become an invaluable member of your data science team
Excellent support - if you don’t understand a concept or you simply want to drop us a line, you’ll receive an answer within 1 business day
Dynamic - we don’t want to waste your time! The instructor sets a very good pace throughout the whole course
Why do you need these skills?
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 paid
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 team
Secure future – being able to understand data in today’s world is the most important skill to possess and it is only developed by seeing, visualizing and interpreting many datasets
Please 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!
Who this course is for:
- Ideal for beginners
- Anyone who wants to start a career in data science or business intelligence
- People who want to level-up their career with data visualization skills
- Anyone who wants to add value to their company
Instructor
365 Careers is the #1 best-selling provider of finance courses on Udemy. The company’s courses have been taken by more than 1,000,000 students in 210 countries. People working at world-class firms like Apple, PayPal, and Citibank have completed 365 Careers trainings.
Currently, the firm focuses on the following topics on Udemy:
1) Finance – Finance fundamentals, Financial modeling in Excel, Valuation, Accounting, Capital budgeting, Financial statement analysis (FSA), Investment banking (IB), Leveraged buyout (LBO), Financial planning and analysis (FP&A), Corporate budgeting, applying Python for Finance, Tesla valuation case study, CFA, ACCA, and CPA
2) Data science – Statistics, Mathematics, Probability, SQL, Python programming, Python for Finance, Business Intelligence, R, Machine Learning, TensorFlow, Tableau, the integration of SQL and Tableau, the integration of SQL, Python, Tableau, Power BI, Credit Risk Modeling, and Credit Analytics
3) Entrepreneurship – Business Strategy, Management and HR Management, Marketing, Decision Making, Negotiation, and Persuasion, Tesla's Strategy and Marketing
4) Office productivity – Microsoft Excel, PowerPoint, Microsoft Word, and Microsoft Outlook
5) Blockchain for Business
All of the company’s courses are:
Pre-scripted
Hands-on
Laser-focused
Engaging
Real-life tested
By choosing 365 Careers, you make sure you will learn from proven experts, who have a passion for teaching, and can take you from beginner to pro in the shortest possible amount of time.
If you want to become a financial analyst, a finance manager, an FP&A analyst, an investment banker, a business executive, an entrepreneur, a business intelligence analyst, a data analyst, or a data scientist, 365 Careers’ courses are the perfect place to start.