Courses to consider after CICT

Data is an important factor to every entity. Whether an individual, an industry or a country. For example, a country needs data for equity distribution of resources, companies need data for corporate to make sensible decisions, consumers need data to make daily decisions on what to consume. In short, regardless of where you are, you need data to be effective.

Since the emergence of computers, storage of data has taken center stage. This is the very reason that the world has seen increased growth of databases. As long as you access the internet, you leave a footprint of yourself there. Starting from your client browsers to internet servers. Servers’ store cookies in your web browsers cache. Also, your operating system stores every single entry made in your system through the System log files.

INTRODUCTION TO DATA SCIENCE

Data Science though a course is simply the process of extracting knowledge from data. It is important to note that data are raw facts. For data to make sense, it has to be converted to information. It is therefore to say data science is the process of giving forth information from raw data.

What it takes to be a DATA SCIENTIST

Since as a data scientist you will be using data to draw conclusions, you need knowledge in the following areas:

(i)                 Statistics: - which deals with the manipulation of data to draw sensible information.

(ii)               Probability:- This can be seen as the prophetic view in mathematics. Probability deals with focusing. If X decreases what happens to Y. As a Data Scientist, you should be able to speculate that.

(iii)             Information theory:- As a Data Scientist, you should be able to draw hypothesis from a given information.

(iv)             I.T. :- Nowadays, data is normally in the form of softcopy. Knowledge in I.T. is essential, as it will save you massive time in making sense of data if you use the right tools in terms of software and hardware.

(v)               Visualization and modelling: - if you are employed in a company as a data scientist, you should be able to visualize your conclusion people without statistical knowledge to understand. It is vital to be able to visualize data as pie charts, graphs among others.

Career opportunities in DATA SCIENCE

1.      Cloud computing

Most organizations today are storing most of their information in the cloud. These organizations may need services of a data scientist, for example to review which data is mostly accessed.

A real example is an online retail store may need services of a data scientist to review the data and provide info on how to increase sales.

2.      Health institutions

Health institutions as hospitals and pharmacies may need a data scientist to access the effectiveness of a drug. For example if there are 10 drugs for malaria treatment, a data scientist may provide info on which is most effective.

Conclusion

Data science is still a course in the making. The course has a promising future. The reason is that there is no single organization that does not deal with data. Therefore, multiple opportunities. Currently, the course is not being offered in the country but that should not deter you. With the investion of online learning, you can enroll in any school abroad. Happy learning