So let's talk about the sexiest job of the century - Data Scientist! If you aspire to become a Data Scientist or if you would like to transition to this field then the steps which I am going to mention will help you draft a career path for you.
So to begin with, there is a general misconception that one needs to be a computer science graduate. That may be preferred but not necessary. You would need to learn a couple of programming languages which would be a starting point of your journey to become a Data Scientist.
So here are the steps to follow:
Step 1 - Find out if it's really for you.
Both intellectually and in terms of education, data science is a heavy lift. Consider taking a free data science course through an online learning portal such as Coursera or EdX to make sure this field is really right for you before you take the plunge.
Step 2 - Choose an academic path.
According to a study, it's very difficult to attain the skills needed for a job in this field without earning a high-level degree, which 9 out of 10 data scientists have done. Although more and more data scientists are opting for master's degrees, It's important to note that you can mitigate the commitment and cost of your education by participating in a variety of Internet-based massive open online courses (MOOCs) or or acquiring certifications from reputed university. Data science "bootcamps" can also speed things up with accelerated, concentrated courses of instruction.
Step 3 - Get certified.
Earning a certification can improve your skills and make you a more marketable candidate. Potential certifications include certified applications professional, Cloudera certified professional: data scientist, EMC: data science associate and SAS certified predictive modeler using SAS Enterprise Miner 7.
Step 5 - Get hired!
Once you've emerged from your education pursuits, the only thing you need in order to call yourself a data scientist is a job. Data science is a specialty, and recruiting networks, job boards and career forums exist just for them and the companies who need their skill sets. Start with Kaggle, which hosts 1.5 million data scientists in the world's largest community dedicated to the profession. Businesses and other entities constantly search Kaggle for people who have the skills and background they need. iCrunchData is another good place to network and start your job search. Try to get as many referrals as possible. It is advised to build a network who can refer you. This network can consist of your tutors, fellow data scientist or seniors who understands your skills and can help you get that job.
Step 4 - Choose an area of concentration.
Many different paths can lead you to a lucrative, rewarding career as a data scientist. Your education in data science can lead to jobs like data visualization specialist, management analyst and market research analyst. From there, you can choose to concentrate in fields like machine learning, algorithm developer, statistician or data engineer. You can even choose to pursue a higher degree at this stage in order to fastrack your development in this field. On the other hand, you can choose to gain practical exposure by continuing to work in the concentration area which you chose. This can lead you to become a business solutions scientist, data scientist, and enterprise science analytics manager.
Follow these steps to get the sexiest job of the century and keep on moving ahead by advancing your skills.
If you want to get your personalized career path to become a successful Data Scientist then feel free to drop a comment and I’ll definitely get back to you. Have a successful week ahead and cheers to all of you from Your Career Goal.. Delivering Successful Careers
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