Becoming a Data Scientist in 6 Months with No Coding Skills

Becoming a data scientist is on the top of everyone’s prospective career list whoever completes graduation these days. And nothing is surprising or illogical about that. It’s just that becoming a data science professional gives you the widest wings to fly towards reaching your dream career ambitions.


Even the data and statistics back the positioning of data science as the best career option in 2020s!


A January 2019 Indeed report stated a 29% surge in demand for data science professionals. The same study mentioned a 344% rise in job vacancies for data scientists since 2013. But, contrary to the demand, the supply didn’t keep up during the past five years. The job-seeking in data science only grew by 14%, less than half the rate of increase in demand for data scientists.


If the statistics posted by the technology job site Dice is to be believed, it observed a whopping 32% increase in the number of job-postings in data science compared in proportion of total number of jobs posted on its platform.


There will emerge around 700,000 new openings in data science in 2020. And, according to an IBM report, the job vacancies globally in data science will tower up to 2,720,000 this year.


Enough with data & stats!


Let’s move on to becoming a data scientist rather than blabbering about it.


Entering into a Data Science Career – Becoming a Data Scientist


Firstly, let’s talk about the educational backgrounds that transition well to a career in data science. These are:

· Computer Science

· Statistics

· Mathematics

· Engineering

· Physics

· Business

· Economics


However, it’s not a compulsion to have a degree, diploma, or a master’s in the above-mentioned streams of study. But it might be a little hard to break into a data science career having not been associated to the stated fields of study.


If you are determined to become a data science professional, nobody can stop you. Even if you have never known what Coding & Programming means in the first place?

It’s just that you need to be a little disciplined about self-learning, and have to have a lot of perseverance instilled in you.


Getting Started on the Learning Process


While starting with no skills in coding, data science, statistics, or programming, you will need to learn them. That’s a given for any data science role in the job market.


So, how do you learn these essential skills?


The answer is taking up online learning courses. The biggest benefit they provide is learning at your own pace.


What All Essential Skills You Must Possess Before Applying for a Data Science Job?


The basic data science skills to learn to get eligible for applying to jobs are:


· Learn to code in a programming language that supports data analysis. The most popular and relevant being Python. However, R is another important language to learn to excel in your tech job interviews.


· Get to learn statistics as there is a huge application of the subject in data analysis and visualization. Enroll in an online certification course for the same.


· Learn SQL. It’s a must. Without having knowledge of applying SQL in database querying, you simply cannot do much.


· Practise to use git from the command line by visiting GitHub.


What Extra is Needed to Stand Out?


Apart from the above-mentioned skills, you must try your best to reach out to the already working professionals in the field, and ask for advice regarding honing your skills and the way forward in your career.


Besides, it is highly advisable to take more than one certification in a skill that could be termed as a “foundation skill” in data science, e.g. data analysis, statistical computation, coding in a specific programming language, etc.


The reason behind this thought is that different teachers teach in different ways, which eventually widens your knowledge and thought-processing in a subject.


Best Data Science Certifications & Their Job-Relevance


Numerous world-renowned bodies have got online data science courses and professional certifications for you. Such globally-recognized bodies comprise MIT, Microsoft, SAS, Google, IBM, Berkeley, Harvard University, etc.


DASCA (Data Science Council of America)


With DASCA, your study is never specific to the skill requirements of a particular company. Besides, DASCA certifications are recognized across 183+ countries globally.


Online Certification Offered by DASCA That Transform You into a Certified Data Science Professional


· ABDE (Associate Big Data Engineer)

· SBDE (Senior Big Data Engineer)

· ABDA (Associate Big Data Analyst)

· SBDA (Senior Big Data Analyst)

· SDS (Senior Data Scientist)

· PDS (Principal Data Scientist)


Concluding Thoughts


Data Science job roles are already declared the sexiest in the 21st century. Money, respect, wealth, and growth, will all be following you if you have what it takes to survive and excel in the highly impactful data science work domain.


Lastly, I wish you the best of luck in your proceedings to become a data scientist!

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