If you wish to become successful in data science, you are in for a lot of surprises. This field is neither quick nor easy but if you are persistent in becoming one, you can be successful like the others who worked hard and persevere. But before you join the game, you have to consider some dark areas like, the expanse of your knowledge on data science, your computer skills, and which resources to use.
Data scientists are said to be open for experimentation and committed, but most of all, willing to invest effort and money.
Data mining and statistical analysis retained the number two job spot in recent years. Both skills are under the umbrella of data science. The word data science was coined by Professor William S. Cleveland of Purdue University’s Statistics department upon advocating the statistics and computer science merger.
Data Scientists in Brief
Data scientists use their knowledge of modeling and statistics in converting data into actionable ideas. Stating with product development, the wide scope goes through customer retention to new trade opportunities.
Due to the growing demand of data science, employers are eager to hire talents with years of experience. It also opens up opportunities for mid-career professionals as well as college students.
Skills Required
To be a data scientist, you need to have combined knowledge of analytical, presentation, and technical skills. These skills are hard to find altogether in a worker but with practice and motivation, nothing is impossible.
Other skills should be knowledge in applied mathematics and statistics. Ideal data scientists should know how to test hypothesis using their designed experiments, have ample programming skills good enough to construct methods of processing, storing, and sourcing data.
They should be fine with translating their findings by using storyboards or data visualizations, and most of all being knowledgeable with SQL, Python, Tableau, SPSS, adoop, and R.
Several schools are now offering specialized programs to fit data science. There is no need for a PhD for this particular field although some of the better data scientists have them already.
You can also check How to Hire a Great Data Scientist for a comprehensive guide on the critical skills needed for a Data Scientist and some questions that may be asked during the interview.
There are three usual avenues that lead to data science and these are the following:
- Master’s Program
Enrolling in a master’s program can be time-consuming but the structure it provides places the students directly near on-campus recruiters. - Massive Open Online Course
Some online courses are incomplete and learning is done by the students themselves. Finding a job depends on the student and their expertise. - Bootcamp Learning
The timeline for this type of learning is actual but accelerated and usually conducted by practitioners of the field. Approach is based on experience. Finding a job can be easy with the help of staffing managers who have direct contact with employers.
On top of these options, you can apply in a company that seeks for skills you already have so you can get experience and a chance to connect with prospective employers.