Skills Needed to Become a Data Scientist
In the last blog post we talked about what data science is, and the different types of “data scientists”, but what skills do you actually need to become a data scientist and take advantage of this interesting, emerging field? The table below it shows the “prerequisites” for becoming a data scientist, a data analyst, and a data engineer, you should at least know these for the job you are applying to but it definitely doesn’t hurt to know the other ones, and especially in this field since any of these jobs can do another one at a moment’s notice.
Pros and cons of becoming a data scientist
With any job, there are pros and cons to taking it. What about data science? Refer to the chart below to find out!
| Pros | Cons |
| – In demand job now, and in the future – Provides versatility – Excellent job security – Remote work is possible – Good work-life balance | – Ethical issues – Cannot master all aspects of data science – Could be socially isolated in the long run |
Conclusion
In conclusion, data science is using data to predict the future and act upon those insights today. There are 3 different jobs that people usually refer to as a data scientist (data analyst, data scientist, and data engineer) however they each have distinct differences that make them a little bit different. If one is considering going into this field one should be ready to take upon any of these three jobs no matter what their title says as each company does things a little bit differently. Lastly, there are definitely pros and cons to this job but I feel that the pros heavily outweigh the cons and it is an interesting fast-paced, and highly desirable job right now and in the future.