Google’s Chief Economist, Hal Varian claims that “the sexiest job in the next 10 year will be in statistician.” But it’s not the statistician who will have the coveted, pivotal, and crucial job in the future; it’s “Data Powered-Storytellers” (people who know how to create data visualizations). With more and more big data from the internet (90% of data was created within the last two year alone and 2.5 billion GB is produced everyday), it is more important than ever that we can explain, analyze, digest, and compare data in a manageable way to anyone who needs access and understanding of their complex data. The next step is to learn how to be on top of the curve and learn data visualization in order to be the workplace hero you’ll need to be in the upcoming changing years.
This course is recommended for non-coders who are interested in data visualization. Don’t worry if you aren’t a numbers person; this course will teach you how to turn all those numbers into readable, colorful, visuals that will wow your bosses and be incredibly easy to understand. Unlike some of the other courses mentioned below, this course will not teach/integrate Python or any other form of programming language. Powered by Microsoft, Data Visualization: A practical Approach for Absolute Beginners, is a new course taught by Pete Harris and Ben Olsen, both Senior Content Developers at Microsoft. A suggested time frame is spending a 2-3 hours on the course for 4 weeks. The course is free, however, if you want to receive a certificate after completion and have your exams graded, the program costs $99.00.
This course is offered to beginners as well, but it uses Tableau, an easy to use “drag and drop” platform that integrates with almost any database while still enforcing your security protocols. Trends indicate that more data science jobs are putting “mastering of Tableau” on their requirements for job applicants. The colorful, exciting and unique visuals can be made in just minutes by simply importing your data. Tableau is perfect for the non-coder but also gets more and more advanced with coding by integrating R, a popular programming language for data analysts and statisticians. No prior experience with Tableau is needed. This course averages 4 months for completion. Offered on coursera, this course costs $43.00 per month (the faster you finish it the less you have to pay).
When you look up Data Visualization, a common language you’ll see associated with it is Python. Python is great for data visualization because it offers Matplotlib and Seaborn, both of which are great plotting libraries (which makes for visualizations that can be live or highly customized). But Python’s power extends beyond data visualization. It’s a super easy to learn language (the most popular at universities and colleges) and allows for easy web application building and automation. Even if you have no idea what I’m talking about, this course teaches everything about Python so no prior knowledge whatsoever is required. This course teaches Python alongside data analysis and visualization techniques. By the end of the course, you should have a sufficient skill level of Python, have experience working with JSON, HTML and MS Excel Worksheets and use matplotlib and seaborn modules. On sale at the time of posting, this course is 94% off the originally priced $194.99 and now is at $10.99. This course has 21 hours of online lectures with additional worksheets and data sets.
This course is engineered for people already familiar with Python but want a deeper dive into data cleaning, analysis and visualization. You will learn how to take raw data, extract meaningful information, use statistical tools, and make visualizations. It’s a more cut and dry course that doesn’t dive into D3.js, color theory or narrative, but you will still be able to create meaningful presentations of data.
This course was taught in a winter session (Independent Activities Period) at MIT and the 6 lecture days were spread out across 4 weeks. Now it is offered for free online.
If you’re already an intense coder and ready to get intricate and complex with your data visualizations, then this IBM course is right for you. This Coursera course expands upon your knowledge of Python, using namely Matplotlib, Seaborn, and Folium visualization libraries, to create clear presentable data. This course also covers advanced visualization tools such as waffle charts and word clouds and ultimately learn how to design and present geospatial data. This course takes 7 hours to complete but has a recommended time of 15 hours total in terms of studying. At the time of publication, this course has a discount for $39.00 opposed to $43.00 per month.