Why It Is A Bad Idea To Ignore Well-Founded Skills Studies
The Data Science landscape has always been characterized by change. It never lets you settle down with a set of ideas or tools. Since it plays such a pivotal role in the mobility of a large number of different industries, it is quite essential to monitor the changing trends and practices in the field of data science.
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Whether you are a fresh STEM graduate looking for a data science education or an experienced IT professional planning a re-skill, awareness of the situation is going to be your best friend in the process. You would know the importance of numbers. If provided with credible numbers on and around the industry, an aspiring data science professional would take a look.
Don’t Miss Out On The Subtle Art Of Fact-Finding
Our desire to gain awareness is often marred by the lack of information about what to look for.
Let us say that you want to be a data scientist and you are just starting out on your journey to achieve the same. What is it that you should know before you take any step?
Here is some help.
Even if you don’t follow the trends, know them.
Technology in today’s world is subject to trends. There is more than one way to achieve a goal, and it is important to choose the right trail.
- IDE or Integrated Development Environments are gaining a lot of popularity among software developers in order to streamline the processes.
- Similarly, Intelligent Process Automation or IPA is coming at the forefront in terms of process automation.
This sort of circumstantial knowledge helps you distinguish true value from vague promises when you try to choose a data science course.
Choose Your Weapons Well
- The languages Python and R are used by 81.9% responding professionals for statistical modeling.
- For Machine Learning Python is the clear winner with 65.2% users.
These may just look like fancy numbers to help marketers promote their products, but if you are willing to look closely and tally these numbers with job portals, you will see a trend coming forth which is participated in by both the employers and employees.
Popularity Indexes Have a Story or Two To Tell
The data science skills study helps you gather information about different platforms used for different purposes in terms of their popularity and the percentage of people using them. For instance,
- MS Power BI and Tableau rank best among the business intelligence platforms. While these two share almost 51% of the market,
- MS Excel is tagging along with around 15% of BI professionals preferring it over others.
So, if you happen to already have some Excel skills, taking it to the next level by learning the advanced features might just do the trick for you.
Finding Resources To Start With
Data science education in universities is expensive. In fact, they might be quite off-limits if you are working 50 hours a week job.
If you are confused about the learning resources and unsure of the credibility of online resources, this will help.
- Massive online open courses or MOOCs are being relied upon by 15.8% of respondents.
While MOOCs may not be all you need, the survey shows that you can rely upon those in the beginning.
- The free online resources like youtube videos and newsletters may work in your favor if you know what and how to look.
- Online certificate courses have been embraced by 14.6% of respondents and the number is increasing over the years.
Surviving in the data science world needs constant upskilling. Knowing the trends and best practices may actually save you a lot of time and quite a few bucks.
Gathering Insights Regarding Disruptive Technologies
What they call disruptive is going to build up your career. If you are entering the field of data science you will be exposed to the most fascinating pool of technologies, it is better to go all guns blazing and take a fearless leap.
The areas of machine learning and neural networks are so vast and so diversified that it is hard to find a starting point.
So, if you sort some basics out like choosing the best cloud service platform for AI development, or selecting the right neural network architecture for your model, the work tends to roll with less friction.
Numbers Are Your Best Friend If You Want To Nail That Presentation
Well, this might not seem as important especially if you are a fresh candidate, but if you have already worked in an office full of peers, you would know how much it means to be and stay informed.
If you can support your arguments with numbers, your credibility as a speaker goes through the roof. Having access to critical statistical data regarding your field and business processes can help you create better presentations for your superiors as well as clients.
Narrowing Down On A Plan
Are you planning a career in data science? I mean, are you really planning it out instead of going with the ads and the flow?
Remember, Learning with a vision makes knowledge sustainable and applicable.
And you do not want to miss out on the vision part at any cost.
When you choose your first big data overview course, fancy articles on the death of Hadoop or the age of cloud may fiddle with your mind, but the study tells you that the
- Hadoop software suite is still preferred by 26.6% of respondents.
And If you can bring up similar studies from previous years and find a pattern in the numbers, voila that would be your first application of analytics.
An analytical brain is a result of dedicated practice. Your reading habits, your generally inquisitive nature, and your persistence, all are part of that praxis. Keep feeding it.