Python & Data Science

A fair warning to the readers: this blog post reeks of geek so proceed at your own risk.

With the explosion of the ways human beings are creating, collecting data these days thanks to ease of storage (storage media has been becoming increasingly affordable (in other words, cheaper and cheaper). Additionally it has become increasingly easier to generate and collect data from so many devices (smart phones, satellite systems, cameras, social media etc. et.c). So with this incredible amount of data (literally in the tera-bytes) there is a need to utilize to make sense of the data and to utilize it in useful ways (to make better predictions, make more money, avoid more crimes, design better medicine, create better products, sell more services etc. etc.). Companies (as well as universities) have realized how important it is to do science with data. As a result, the discipline that has recently become very popular is Data Science. Just do a Google search for Data Science and you’ll be amazed at how much information there is out there.

Data Science usually requires skills such as Mathematics, Statistics, SQL, Data Analysis, Business Domain Knowledge and Programming in R or Python. Python and R are the two most popular programming languages with the Data Science discipline these days. So if you’ve a solid Math background and love to do programming, this might be something you might want to look into. It seems like a really interesting field with a lot of opportunities for really meaningful work.

A data scientist typically works in one dedicated domain area: it could be anywhere or anything. For instance, you could be working in marketing, medicine, product engineering, urban design, smart cities, transportation, astrophysics or whatever else you’re into or find opportunities in. There are sure to be a lot of opportunities in pretty much any discipline. Exciting careers for bright students. Study your Mathematics well!

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What’s up with this thing called Data Science

Data Science is the newest thing that has become popular for Math, Statistics & Computer Science geeks. This is a new area of study that has increasingly gained popularity over the last couple of years or more. This is evident from the many courses and numerous well paying jobs that turn up with a simple Google search. The courses available online for those who are interested in acquiring this new skillset. And there seem to be tons of jobs for Data Scientists as well. Mose of these jobs require an advanced degree (such as a Master’s or a Doctorate).

Data Science is a new discipline that includes various topics of interest such as Statistics, Data Analysis, R or Python Programming, Regression Models, Machine Learning and more. Usually, the courses demand that learners have Math/Stats & Comp. Sci backgrounds but there are people who have business degrees or humanities background that have ventured into this area because it is so attractive to people who crave creativity and challenge in their work.

A typical Data Scientist does a lot of different things, but primarily it has to do with making sense of data in a meaningful way that is useful for a purpose. That sounds vague actually. It really means extracting meaning from and interpreting data, analyzing it with tools (using pre-built software like Microsoft Excel or custom programming usually with R or Python). It requires the use of Mathematics and Statistics skills. First and foremost it requires acquiring the lots of data, cleaning, cleansing and formatting data and asking useful questions and getting really creative with the use of the data in some way that may be useful for medicine or policy making or urban development or whatever else might be the area you are interested in using Data Science for. In other words, Data Science has tons of applications.

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