Data science training in Cameroon

Data is produced by businesses every day and needs to be analyzed and used. The person responsible for this task is called a data scientist. He is therefore responsible for collecting, sorting, and analyzing the various data of a company via certain channels (telephone, email, sms, website). Their objective will therefore be to extract value from this data in order to help the company achieve its objectives. Throughout this article we will talk to you about data science training in Cameroon.

We will therefore focus on the technologies to learn, the prerequisites to have as well as the different training opportunities.

How to train in Data Science in Cameroon

Training in data science requires certain prerequisites as well as a certain mastery of certain technologies.

Prerequisites for data science training

To work with data, you need to have some foundation in mathematics, algebra and especially statistics. The data is processed using the algorithms generated by the data scientist and represented in the form of a graph. The company therefore exploits this graph, because it contains a great source of information to develop strategies.

Technology to learn for data science

Among the programming languages, we count some languages ​​that are more suitable to use than others in the field of data scientist. We can therefore cite:

Python

It is the number one language recognized by almost everyone. We see it in first place among the most used languages ​​in the world according to the PYPL with a rate of 28.11% on its own. Possessing several libraries such as Numpy or panda only dedicated to data science; as well as software like Spyder or Jupyter for building graphs; Python is clearly a very good choice for doing data science.

R

R is an open source programming language designed for data analysis, scientific computing. Can’t we be told that it is the language par excellence for data processing? Like Python R, it doesn’t require a compiler so you can run your code directly. It is the second most used language in the world to process data. It is used by large organizations like Google or Facebook.

Julia

Inspired by several languages ​​such as Python, Ruby, Lisp, R, C and Matlab, Julia is a multidisciplinary language in the fields of mathematics, machine learning and data processing. Its main advantage is its speed because in terms of speed it is compared to the C language.

Scala

Scala is a high-level programming language because it was created to improve the complexity of Java. Not only is it faster than java and python, it also has a great library and packages to use in math, data processing.

Matlab

It is one of the languages ​​most used by mathematicians and engineers. It is used for probability, statistical calculations, mathematical analysis and especially for machine learning. Everything is on one workspace which makes work easier and faster.

Opportunities for data science training in Cameroon

Data scientists can work in large structures such as banks, industrial groups, hospitals, etc. They can therefore work in any company as long as it has data to exploit. Google, Twitter, Facebook, Yahoo are big companies that work with data every day and sharpen their strategies based on the results obtained.

The data scientist must therefore have certain qualities and skills such as:

• A great capacity for analysis
• A very good knowledge of at least one Big Data programming language.
• Have good writing and communication skills
• Have a good knowledge of Marketing
• Master English
• Be rigorous and organized

Conclusion

To conclude, the data scientist is an expert in the collection, analysis, storage, and exploitation of all the data collected by different channels (telephone, email, website, etc.). And to be able to fully assume his role, he therefore has certain tools and computer language to master; and must have certain qualities of analysis and rigour.

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