Make Better Sense of Data. Learn Data Visualization

People do not hate data. Rather, they dislike numbers when they are in unrefined forms as they may be very difficult to understand. In fact, when in the raw state, data can be unappealing and frustrating to digest no matter how much you love numbers. There is therefore a need for better presentation in the discussion of data use and number exploration. This gives rise to the increasing demand for both data visualization tools and professionals. Data visualization tools combine friendly interfaces with awesome infographics and color combination to ensure that data are far more appealing and understandable to people. The idea is that instead of exploring cumbersome numbers which may well have tons of inferences in them, data visualization tools project those statistical details in graphs, tables, charts and other easily interpreted formats that aid quick understanding and insight into your number logs. However, these tools require both understanding of data analysis and the technical know-how of their use. This is why this course is an important one to study for anyone who wishes to make better sense of numbers and raw data.

Why data visualization is important

First and foremost, people are skilling up with data analysis and visualization course because with the advent of digital technology, the world now knows how much important data is and they make more sense of it. The inferred benefits are however not limited to data professionals. It cuts across fields as product management, marketing, designs and program management just to mention a few. More than this, it has been estimated that the growth of data visualization market will hit $5.17 billion by 2026, and by this period, an average data visualization professional will be making a rain of around $76,600 annually. Good enough, almost anyone can learn data visualization once they begin with basic courses and graduate to higher levels with courses in advanced topics. Above all, this course is easy to learn especially if you choose highly comprehensive courses in the basic learning phase.

What you can expect to learn?

Like data analytics or data science, data visualization can be very broad a course to learn especially if you want to get as advanced as it could get. You will be learning data visualization principles to communicate data-driven findings. The course will literally teach you how to;

Create informative and engaging reports and dashboard
Customize data presentation and use
Learn popular tools as Power Bi, R, Excel and Tableau that prepare you for top jobs in the data field
Learn important languages like Python in the advanced stages of the course, as well as
Have a clear-cut understanding of how to drive meaningful conclusion from data

Join the explorers of the mines of the future in data

Data has presented itself as the real goldmine for the future. From data analysis to data science and data visualization, you only need to pick one of these and build an enviable career around it. So, if you are looking at adding to your skills to level up or build a completely new career in data, visualization might be the simpler way to go. Join people of like minds on the data visualization learning class by filling the following form.

About Us

To begin with, Emily has been able to use her experience and practicability of data visualization skill and mentorships over several decades to create an advanced yet easy-to-understand course which you need no pre-requisite to learn more than an interest in developing yourself in that field or the passion to build a new career focus. As an industry leader, she is aware of the needs of different learners and have therefore designed the course to be exactly easy to learn for all. Emily’s course is a flexible one that allows you to create your own learning speed. More so, you will be having video guides and bootcamps to bolster your knowledge as you might require along the learning curve. Emily has simple find a way to make the courses most people consider complex in simple formats for the understanding of all.

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