As the business world continues to become more data-driven, the demand for data visualization jobs will continue to rise. With worldwide revenues for big data and business analytics expected to exceed 274 billion dollars by 2022, more specialized roles in the field will be needed.
Data is arguably the most influential factor in determining business decisions today, especially as companies continue to prioritize data-driven decision-making. Companies use data to assess progress and performance, determine where to allocate resources, identify patterns, accurately forecast, and so much more.
It’s no secret that it’s easier for most of us to digest complex information through the use of images versus text. After all, as the saying goes, a picture is worth a thousand words. That’s exactly why data visualization, and having the right data visualization tools, is so critical.
Bioinformatics sounds like a futurist-type of occupation that could only be found in the not-too-distant future, the discipline is here and growing fast. Bioinformatics is the combination of computer science, data analytics, and biology.
Basically, it is the process of collecting, storing, and processing massive amounts of data using powerful computing programs, but the data that is collected and analyzed is biological data.
Bioinformatics has been used for cutting-edge, scientific studies like DNA sequencing, analyzing biological networks in systems biology, and simulating biomolecular interactions.
In line with our mission to train the world’s workforce in the careers of the future, Udacity is thrilled to announce brand new training programs with Microsoft to help professionals learn highly coveted skills with Microsoft. This collaboration kicks off with the Machine Learning Scholarship Program for Microsoft Azure, opening today, through which students will have an opportunity to earn a scholarship to the new machine learning Nanodegree program with Microsoft Azure.
For 26-year-old Deepashree Gurumurthy, the current pandemic posed great challenges to her career. After working as a Computer Vision Engineer for three years in Boston — like millions of others — she lost her job due to the adverse impact of COVID-19 on the oil sector.
What did she do next? “I felt it would be a great time to get back to my basics with a quick review of my learning,” she said.
“I chose [to take] Udacity’s Computer Vision Nanodegree Program because it is directly relevant to my specialization and has interesting projects that I felt would strengthen my fundamentals in this subject.”
Viewing a YouTube tutorial on Python or browsing through the official documentation isn’t necessarily be the best way to learn Python. Without a reliable mentor in the programming community, it becomes incredibly difficult to quickly and efficiently learn new languages, primarily because students don’t know what they don’t know.
The hours spent searching for the content students need, taught well by the right teacher in the right context, would be better spent actually learning the language and preparing to apply it in the real world. And some ways of learning Python (or any language, for that matter) are much better than others. Read on to find out more.
