How is Visualization used?
Zippia reviewed thousands of resumes to understand how visualization is used in different jobs. Explore the list of common job responsibilities related to visualization below:
- Maintained image specific collection requirements, maintained quality control of 3-D visualization products and trained new civilian personnel.
- Scheduled and led high end visualization reviews for General Motors management and engineering.
- Developed detailed equipment specifications for General Motors 3D visualization upgrades.
- Performed concept modeling and design visualization for Volvo Trucks of North America.
- Consulted on 3D rendering and visualization techniques to team members.
- Presented these insights through visualization dashboards by using Power BI.
Are Visualization skills in demand?
Yes, visualization skills are in demand today. Currently, 15,982 job openings list visualization skills as a requirement. The job descriptions that most frequently include visualization skills are audio visual specialist, business analytics director, and business intelligence director.
How hard is it to learn Visualization?
Based on the average complexity level of the jobs that use visualization the most: audio visual specialist, business analytics director, and business intelligence director. The complexity level of these jobs is challenging.
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What jobs can you get with Visualization skills?
You can get a job as a audio visual specialist, business analytics director, and business intelligence director with visualization skills. After analyzing resumes and job postings, we identified these as the most common job titles for candidates with visualization skills.
Audio Visual Specialist
Job description:
Audiovisual specialists are skilled professionals who focus on the effective operation of audiovisual systems and technology. These specialists are required to maintain and troubleshoot audio, video, and lighting equipment that are used in broadcasts and recordings. They must connect, tune, and configure audio-video setups to ensure high-quality broadcasting while operating software to control the AV technologies. Audiovisual specialists must also monitor live feeds as well as prepare teleprompters with scripts.
- Visualization
- Video Production
- Unity
- Audio Visual Support
- Sales Floor
- Customer Service
Business Analytics Director
Job description:
A business analytics director spearheads and oversees analytics projects and operations, ensuring efficiency and adherence to the company's goals and standards. They are in charge of managing resources, setting goals and guidelines, establishing budgets and timelines, delegating responsibilities among teams and staff, monitoring operations, and addressing issues and concerns. Moreover, as a business analytics director, it is their duty to lead and encourage employees to reach goals, all while implementing strategies to optimize operations and promoting policies and regulations, developing new ones as necessary.
- SQL
- Visualization
- Tableau
- Power Bi
- Business Intelligence
- SAS
Business Intelligence Director
- Tableau
- Visualization
- Project Management
- Performance Metrics
- Direct Reports
- Data Warehouse
Business Owner/Engineer
Job description:
Business owners/engineers are executive professionals who work with business users to help develop business requirements. These professionals must create an approach for new financial data warehouse product development so that they can reduce complexity and mitigate implementation risk. By using Structured Query Language (SQL) and Python, these professionals must interface with data miners to extract, transform, and load data from a variety of sources. These professionals must also perform data analysis to extract actionable insights of key business drivers for the digital marketing industry.
- Business Intelligence
- Visualization
- Python
- Data Analysis
- ETL
- Power Bi
Customer Leader
Job description:
A customer leader is responsible for providing the highest customer service by addressing customers' inquiries and concerns and resolving complaints timely and efficiently. Customer leaders handle a team of customer service staff, requiring them to monitor their performance and maximize their productivity by organizing training to improve customer service skills. They conduct coaching to the team members to identify their challenges and areas of improvement by implementing strategic procedures and adjusting individual objectives as needed. A customer leader should have excellent leadership skills, especially on evaluating the team's goals and motivating the staff on their competencies and capabilities.
- Customer Engagement
- PET
- Front End
- Visualization
- Core Values
- Direct Reports
Data Operations Director
Job description:
A data operations director is responsible for managing the company's database and ensure the safety and security of all the data to prevent unauthorized access and information risk. Data operations directors coordinate with data engineers to design systems that would support business functions and operations. They also implement data handling procedures to organize data accurately and properly dispose of outdated ones. A data operations director reports all system failures and leads network infrastructures to improve the performance of data systems.
- Tableau
- Visualization
- Project Management
- SAS
- Direct Reports
- ROI
Bioinformatics Software Engineer
Job description:
A bioinformatics software engineer specializes in designing and developing software that facilitates procedures leading to breakthroughs in science. Their responsibilities include conducting extensive research and analysis, writing codes, developing prototypes and test structures, identifying and eliminating bugs, troubleshooting problems, performing upgrades, and maintaining records of all procedures. They also establish guidelines and protocols, guiding staff as necessary. Moreover, as a bioinformatics software engineer, it is essential to oversee staff progress while implementing policies and standards for a smooth and efficient workflow.
- Python
- Java
- Next-Generation Sequencing
- Visualization
- AWS
- JavaScript
Associate Professor Computer Science
- Visualization
- Mathematics
- Artificial Intelligence
- Python
- Science Courses
- Graduate Courses
Analytical Data Miner
Job description:
An analytical data miner specializes in providing analytical services to help organizations make decisions and optimize their daily operations. They may work in the medical, manufacturing, information technology, construction, and finance industries. Although the extent of their responsibilities depends on their place of employment, it typically includes gathering and analyzing data through software and applications, examining statistical information, maintaining records, and presenting detailed reports in adherence to the company's protocols and guidelines, including its policies and regulations.
- Python
- Tableau
- Visualization
- Data Analysis
- Power Bi
- BI
Geospatial Technician
Job description:
Geospatial technicians majorly assist other geospatial analysts and project managers to build, manage, and make use of GIS databases to identify spatial relationships. Their job is to create customized maps and GIS applications or software. Furthermore, they are expected to review and interpret all GIS data, maps, and graphs. They are also expected to analyze applications of software, create data reports, and digital 3D models. Their job duties also involve updating satellite navigation systems and providing technical support to users.
- Python
- Visualization
- Production Tasks
- Remote Sensing
- Esri
- Extraction
Senior Bioinformatics Scientist
- Python
- Next-Generation Sequencing
- Data Analysis
- Visualization
- Computational Biology
- NGS
Tableau Developer
Job description:
A tableau developer is responsible for creating data visualization solutions to enhance business processes. You will perform varied duties and responsibilities that may include preparing Tableau dashboard reports, creating business intelligence reports, and working closely with developers. Other tasks that you will likely perform are creating tools to effectively store data within the organization, conducting unit tests and developing database queries, and developing technical documentation. As a tableau developer, you will also conduct testing and troubleshooting systems and assisting non-technical staff in interpreting data.
- Tableau Dashboards
- Visualization
- Tableau Server
- Tableau Desktop
- BI
- Data Analysis
Business Insight And Analytics Manager
Job description:
The business insight and analytics manager is primarily in charge of developing strategies to identify the best practices and decisions to optimize a company's operations and sales performance. Their responsibilities typically include understanding the company's needs and mission, performing extensive research and analysis to identify new business opportunities, gathering and analyzing data to determine the strengths and weaknesses of existing procedures, developing solutions in vulnerable areas, and presenting analytical reports for the executives. Above all, they must lead and encourage teams to reach goals while implementing the company's policies and regulations.
- Tableau
- Visualization
- Business Insights
- Data Analysis
- PowerPoint
- Project Management
Senior Data Analyst-
Job description:
The role of a senior data analyst is to oversee and conduct data conversion into insights leading to informed business decisions. Senior data analysts work directly with the top management and executives and stakeholders of businesses. Their duties and responsibilities include data collection and interpretation, data set pattern and trend identification, and business management. Skills in leadership, management, technicalities, data management, and data analysis are a must in this job. They should also develop their communication skills and attention to detail.
- Data Analysis
- Power Bi
- Visualization
- Dashboards
- SAS
- BI
Surgical First Assistant
Job description:
A surgical first assistant plays a vital role in a successful surgical procedure. They are primarily in charge of assisting surgeons, such as by arranging and handing over tools, holding open incisions, and dressing surgical wounds. They also perform tasks such as helping patients prepare for surgeries, transporting patients to different rooms, monitoring the inventory of supplies, and maintaining the cleanliness of work areas. Furthermore, it is essential to implement the safety protocols and measures before, during, and after surgeries for a safe and successful outcome.
- Patients
- Visualization
- Patient Care
- Surgical Procedures
- Surgical Technologist
- Optimal Results
Junior Data Analyst
Job description:
The primary role of junior data analysts is to collect and analyze data to aid organizations in making well-informed business decisions. These professionals are employed in various industries, including banks, telecommunications, and information technology firms. They have varied duties and responsibilities that may include interpreting raw data and identifying patterns, creating visualizations such as flowcharts and dashboards, and coding and re-coding data. Additionally, junior data analysts are expected to maintain databases and identify new opportunities for process improvements. They are also responsible for examining and evaluating business systems and practices.
- Data Analysis
- Python
- Visualization
- Power Bi
- PowerPoint
- Analyze Data
Senior Business Data Analyst
Job description:
A senior business data analyst is responsible for maintaining the safety and security of the company's information database for business operations. Senior business data analysts conduct data and statistical analysis to generate business solutions that would support the efficiency and productivity of the staff in providing the highest customer satisfaction. They also evaluate market trends to identify opportunities that would generate more revenue resources and increase the company's profitability. A senior business data analyst must have excellent communication and technical skills in developing processes to achieve the company's goals and objectives.
- Tableau
- Data Analysis
- Visualization
- Power Bi
- BI
- Data Quality
Business Intelligence Manager
Job description:
Business Intelligence Managers oversee the collection and interpretation of company performance data. They manage and set performance objectives and success indicators. Upon setting these performance indicators, they would then coordinate with the individuals who will directly influence the parameters. Business Intelligence Managers are also responsible for preparing business-related reports. To do this, they have to understand what the audience needs to know. They would then collect all pertinent information and analyze the data set. Once they have the information they need, they interpret the data and provide recommendations to the requestors.
- Tableau
- Dashboards
- Visualization
- Power Bi
- Data Analytics
- Project Management
Senior Tableau Developer
- Interactive Dashboards
- Tableau Server
- Visualization
- Tableau Desktop
- Microsoft SQL Server
- Tableau Dashboards
Data Processing Analyst
Job description:
Data Processing Analysts are responsible for analyzing and maintaining the data systems of an organization. Their duties include interpreting data, analyzing statistical results, creating databases, identifying patterns from data sets, and undertake data filtering. They are also involved in preparing analytics reports, developing data visualizations, and mining data sets from primary or secondary sources. Data Processing Analysts also execute process automation, data validation, and documenting client's business requirements. They continuously monitor the performance metric of a project.
- Data Analysis
- Process Improvement
- Visualization
- Tableau
- Analyze Data
- Data Collection
How much can you earn with Visualization skills?
You can earn up to $50,127 a year with visualization skills if you become a audio visual specialist, the highest-paying job that requires visualization skills. Business analytics directors can earn the second-highest salary among jobs that use Python, $111,815 a year.
| Job Title | Average Salary | Hourly Rate |
|---|---|---|
| Audio Visual Specialist | $50,127 | $24 |
| Business Analytics Director | $111,815 | $54 |
| Business Intelligence Director | $109,458 | $53 |
| Business Owner/Engineer | $101,830 | $49 |
| Customer Leader | $114,201 | $55 |
Companies using Visualization in 2025
The top companies that look for employees with visualization skills are Deloitte, Johnson & Johnson, and Guidehouse. In the millions of job postings we reviewed, these companies mention visualization skills most frequently.
| Rank | Company | % Of All Skills | Job Openings |
|---|---|---|---|
| 1 | Deloitte | 13% | 13,858 |
| 2 | Johnson & Johnson | 11% | 1,024 |
| 3 | Guidehouse | 9% | 1,419 |
| 4 | Ford Motor | 7% | 2,694 |
| 5 | Pacific Northwest National Laboratory | 6% | 277 |
Departments using Visualization
| Department | Average Salary |
|---|---|
| IT | $103,191 |
| Art/Design | $99,337 |
20 courses for Visualization skills
1. Visual Design (Part Time)
Online
20 hours; 10 weeks, Part-time
Gain the vocabulary and tools to tackle diverse design challenges on the job. Kickstart your portfolio and create beautiful, responsive designs for the web. This course is offered in person and live online, in a remote classroom setting...
2. Data Visualization
You will start by building data visualizations and dashboards, considering your audiences to be as effective as possible. Then, you’ll move into drafting presentations using storytelling techniques, visualizations, and animations to provide data-driven recommendations...
3. Data Visualization
Discover how data visualization can communicate insights far more effectively than text or tables. In this course, you’ll learn how to build data visualizations programmatically using Python, and how you can use visualization to both discover and convey trends in your data...
4. Information Visualization
This specialization provides learners with the necessary knowledge and practical skills to develop a strong foundation in information visualization and to design and develop advanced applications for visual data analysis.\n\nThe specialization is characterized by two main complementary features: (1) providing a strong understanding of visual perception and the theory of visual encoding to design and evaluate innovative visualization methods; (2) providing the necessary skills to develop advanced web-based applications for visual data analysis.\n\nThe specialization is organized around four courses that cover fundamentals, applied perception, advanced visualization method and interactive visualization.\n\nThe specialization is meant to prepare students to work on complex data science projects that require the development of interactive visual interfaces for data analysis. The courses can also be taken individually to improve relevant skills in visualization. For instance, the course on applied perception provides unique skills to evaluate and design innovative visualization in all sorts of scenarios...
5. Visual Perception
The ultimate goal of a computer vision system is to generate a detailed symbolic description of each image shown. This course focuses on the all-important problem of perception. We first describe the problem of tracking objects in complex scenes. We look at two key challenges in this context. The first is the separation of an image into object and background using a technique called change detection. The second is the tracking of one or more objects in a video. Next, we examine the problem of segmenting an image into meaningful regions. In particular, we take a bottom-up approach where pixels with similar attributes are grouped together to obtain a region. Finally, we tackle the problem of object recognition. We describe two approaches to the problem. The first directly recognize an object and its pose using the appearance of the object. This method is based on the concept of dimension reduction, which is achieved using principal component analysis. The second approach is to use a neural network to solve the recognition problem as one of learning a mapping from the input (image) to the output (object class, object identity, activity, etc.). We describe how a neural network is constructed and how it is trained using the backpropagation algorithm...
6. Learn Visual Basic with Visual Studio
With this course, you can learn to be a master of the visual basic programming language! Not to be underestimated, visual basic is an entry level to professional level programming language designed and maintained by Microsoft. In this course, you'll become proficient in the basics of both visual basic and the IDE visual studio, with little to no experience with programming assumed. This courseis focused on using console applications to teach the basic principals of programming and visual basic...
7. Data Visualization with Tableau
In 2020 the world will generate 50 times the amount of data as in 2011. And 75 times the number of information sources (IDC, 2011). Being able to use this data provides huge opportunities and to turn these opportunities into reality, people need to use data to solve problems.\n\nThis Specialization, in collaboration with Tableau, is intended for newcomers to data visualization with no prior experience using Tableau. We leverage Tableau's library of resources to demonstrate best practices for data visualization and data storytelling. You will view examples from real world business cases and journalistic examples from leading media companies.\n\nBy the end of this specialization, you will be able to generate powerful reports and dashboards that will help people make decisions and take action based on their business data. You will use Tableau to create high-impact visualizations of common data analyses to help you see and understand your data. You will apply predicative analytics to improve business decision making. The Specialization culminates in a Capstone Project in which you will use sample data to create visualizations, dashboards, and data models to prepare a presentation to the executive leadership of a fictional company...
8. SAS Visual Business Analytics
Using SAS Visual Analytics, you will learn to access and manipulate data, analyze data with a variety of interactive reports and graphics, and design and share dashboards to visualize your data. SAS Visual Analytics is a useful skill in a variety of careers, including business analyst, researcher, statistician, or data scientist.\n\nThe Macquarie Business School at Macquarie University is proud to partner with global analytics leader SAS in offering SAS Certification as part of their Global MBA program. The Global MBA SAS Partnership includes the opportunity for professionals certified through the SAS Certified Specialist: Visual Business Analyst program to gain credit when studying for Macquarie University’s Global MBA through the Generate Insights unit. Find out more about the benefits of the partnership here!...
9. Building Data Visualization Tools
The data science revolution has produced reams of new data from a wide variety of new sources. These new datasets are being used to answer new questions in way never before conceived. Visualization remains one of the most powerful ways draw conclusions from data, but the influx of new data types requires the development of new visualization techniques and building blocks. This course provides you with the skills for creating those new visualization building blocks. We focus on the ggplot2 framework and describe how to use and extend the system to suit the specific needs of your organization or team. Upon completing this course, learners will be able to build the tools needed to visualize a wide variety of data types and will have the fundamentals needed to address new data types as they come about...
10. Data Analysis and Visualization
By the end of this course, learners are provided a high-level overview of data analysis and visualization tools, and are prepared to discuss best practices and develop an ensuing action plan that addresses key discoveries. It begins with common hurdles that obstruct adoption of a data-driven culture before introducing data analysis tools (R software, Minitab, MATLAB, and Python). Deeper examination is spent on statistical process control (SPC), which is a method for studying variation over time. The course also addresses do’s and don’ts of presenting data visually, visualization software (Tableau, Excel, Power BI), and creating a data story. Material features online lectures, videos, demos, project work, readings and discussions. This course is ideal for individuals keen on developing a data-driven mindset that derives powerful insights useful for improving a company’s bottom line. It is helpful if learners have some familiarity with reading reports, gathering and using data, and interpreting visualizations. It is the second course in the Data-Driven Decision Making (DDDM) specialization. To learn more about the specialization, check out a video overview at https://www.youtube.com/watch?v=Oi4mmeSWcVc&list=PLQvThJe-IglyYljMrdqwfsDzk56ncfoLx&index=11...
11. Data Visualization with R
In this course, you will learn the Grammar of Graphics, a system for describing and building graphs, and how the ggplot2 data visualization package for R applies this concept to basic bar charts, histograms, pie charts, scatter plots, line plots, and box plots. You will also learn how to further customize your charts and plots using themes and other techniques. You will then learn how to use another data visualization package for R called Leaflet to create map plots, a unique way to plot data based on geolocation data. Finally, you will be introduced to creating interactive dashboards using the R Shiny package. You will learn how to create and customize Shiny apps, alter the appearance of the apps by adding HTML and image components, and deploy your interactive data apps on the web. You will practice what you learn and build hands-on experience by completing labs in each module and a final project at the end of the course. Watch the videos, work through the labs, and watch your data science skill grow. Good luck! NOTE: This course requires knowledge of working with R and data. If you do not have these skills, it is highly recommended that you first take the Introduction to R Programming for Data Science as well as the Data Analysis with R courses from IBM prior to starting this course. Note: The pre-requisite for this course is basic R programming skills...
12. Data Visualization with Tableau
Dive deep into the compelling world of data visualization with this beginner-friendly course, illuminating the art of transforming data into insightful visuals using Tableau. Arranged in four comprehensive modules, this course outlines a clear learning trajectory, transitioning from foundational concepts to advanced visualization techniques. In the initial module, the focus is on grasping the essentials of Tableau, the cornerstone of effective data visualization. Here, you'll acquaint yourself with Tableau's fundamental tools and features, setting a solid base for your data storytelling journey. The subsequent module propels you into the world of data transformation. Dive deep into Tableau's core functionalities, from understanding the dynamics of Marks Cards and Legends to the significant roles of Green and Blue pills. This phase empowers you to mold raw data into compelling visual stories. Progressing further, the third module introduces you to the vast spectrum of Tableau charts. From basic bar charts to complex visualizations, you'll learn to select the apt visual medium, ensuring your data narratives resonate and captivate. Concluding your journey, the fourth module immerses you in advanced Tableau techniques and dashboard design. By leveraging sophisticated features and crafting interactive dashboards, you'll be able to present your insights with greater impact. By the end of the course, not only will you have a portfolio of compelling data visualizations to showcase, but you'll also possess a profound understanding of data visualization principles and a robust proficiency in Tableau...
13. Overview of Data Visualization
In this project, you will develop an understanding and appreciation for data visualization. You will review the benefits of data visualization as you examine existing examples of data that is displayed in a variety of visual formats. In addition, you will gain some hands-on experience in building your own data visualization examples by aggregating data and generating simple charts in Google Sheets. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions...
14. Visual Analytics with Tableau
In this third course of the specialization, we’ll drill deeper into the tools Tableau offers in the areas of charting, dates, table calculations and mapping. We’ll explore the best choices for charts, based on the type of data you are using. We’ll look at specific types of charts including scatter plots, Gantt charts, histograms, bullet charts and several others, and we’ll address charting guidelines. We’ll define discrete and continuous dates, and examine when to use each one to explain your data. You’ll learn how to create custom and quick table calculations and how to create parameters. We’ll also introduce mapping and explore how Tableau can use different types of geographic data, how to connect to multiple data sources and how to create custom maps...
15. Create a Standout Visual Résumé with Visual Thinking
Re-think the résumé! Whether you are actually seeking a new job or just need a better way to explain to your mom what it is you do for a living this class will help you come up with fun interesting and impactful charts and visuals that communicate your professional or personal journey. If you have avoided updating your résumé like the rest of us join visual thinker and designer Catherine Madden to learn how to make it a more fun and creative experience. Follow a series of exercises to learn how to break down the traditional résumé into simple charts and visuals consider different types of content that showcase what makes you unique and decide on the appropriate format. This class builds on the foundational visual thinking concepts from Catherines first class on drawing data but will get more specific about execution with three different tools: Hand Drawn Illustrated charts using Adobe Draw...
16. Data Analysis and Visualization Foundations
Deriving insights from data and communicating findings has become an increasingly important part of virtually every profession. This Specialization prepares you for this data-driven transformation by teaching you the core principles of data analysis and visualization and by giving you the tools and hands-on practice to communicate the results of your data discoveries effectively.\n\nYou will be introduced to the modern data ecosystem. You will learn the skills required to successfully start data analysis tasks by becoming familiar with spreadsheets like Excel. You will examine different data sets, load them into the spreadsheet, and employ techniques like summarization, sorting, filtering, & creating pivot tables.\n\nCreating stunning visualizations is a critical part of communicating your data analysis results. You will use Excel spreadsheets to create the many different types of data visualizations such as line plots, bar charts, pie charts. You will also create advanced visualizations such as treemaps, scatter charts & map charts. You will then build interactive dashboards.\n\nThis Specialization is designed for learners interested in starting a career in the field of Data or Business Analytics, as well as those in other professions, who need basic data analysis and visualization skills to supplement their primary job tasks.\n\nThis program is ACE® recommended—when you complete, you can earn up to 9 college credits...
17. Data Visualization & Dashboarding with R
This Specialization is intended for learners seeking to develop the ability to visualize data using R. Through five courses, you will use R to create static and interactive data visualizations and publish them on the web, which will you prepare you to provide insight to many types of audiences...
18. The Art of Visual Storytelling
The ability to shoot and edit video is rapidly becoming a sought after skill. Many businesses seek people who can bring more than just a single skill to the table, and video creation can be a key one. In this hands-on specialization, you will do more than just understand the concept of creating a professional video, you will actually produce one for your portfolio!\n\nComponent courses are broken down into the Stages of Video Production: Pre-Production, Production, and Post-Production. In Pre-Production, you will learn how to generate ideas, write proposals, scripts, and draw storyboards. In Production, lessons include basic camera functions, composition, depth of field, getting the exposure right, and shooting for the edit. You will also learn how to light and frame an on-camera interview and how to record professional audio. In Post-Production, you learn editing basics using non-linear editing programs like Adobe Premiere, how to create aesthetic graphics, and how to avoid copyright issues.\n\nAmong those who would benefit from this course are teachers producing video content for their students, real estate agents using video to showcase homes for sale, small-business owners/entrepreneurs generating video for a website, non-profit staff creating video for fund-raising efforts, and amateur vloggers looking to produce more professional content...
19. Advanced Data Visualization with R
Data visualization is a critical skill for anyone that routinely using quantitative data in his or her work - which is to say that data visualization is a tool that almost every worker needs today. One of the critical tools for data visualization today is the R statistical programming language. Especially in conjunction with the tidyverse software packages, R has become an extremely powerful and flexible platform for making figures, tables, and reproducible reports. However, R can be intimidating for first time users, and there are so many resources online that it can be difficult to sort through without guidance. This course is the third in the Specialization "Data Visualization and Dashboarding in R." Learners come into this course with a foundation using R to make many basic kinds of visualization, primarily with the ggplot2 package. Accordingly, this course focuses on expanding the learners' inventory of data visualization options. Drawing on additional packages to supplement ggplot2, learners will made more variants of traditional figures, as well as venture into spatial data. The course ends make interactive and animated figures. To fill that need, this course is intended for learners who have little or no experience with R but who are looking for an introduction to this tool. By the end of this course, students will be able to import data into R, manipulate that data using tools from the popular tidyverse package, and make simple reports using R Markdown. The course is designed for students with good basic computing skills, but limited if any experience with programming...
20. Advanced Data Visualization with Tableau
The Advanced Data Visualization with Tableau Course teaches you how to create advanced data visualizations such as dual-axis charts, bar-in-bar charts, small multiples and more. You will also learn how to customize and add complexity to your visualizations by incorporating the use of features such as maps, geocoding, motion, multi-layers, etc. These skills will allow you to effectively communicate insights to your stakeholders...