Are you belong to the IT sector and want to make career as data scientist,then you are at the right place. Today we are going to learn what exactly the meaning of being data scientist and how you can make your bright future in the field of data scientist.
What is Data Scientist?
The data scientist is the job where you work on advanced analytics technologies, including machine learning and predictive modelling. In simple word work of an data scientist is gathering and analyzing data, and using different type of tool to analytics and reporting to detect pattern and relationship between data sets.
In field of data scientist you will learn big data mining which help you to gather information to predict the customer behavior and identify business risks and opportunities.
That’s all about data scientist and now we are going learn “How you can became data scientist” in Three simple steps.
Step 1: Be Familiar With Programming Languages
To become data scientist you have to familiar with programming languages which helps you to explore the different phases of data science. In my opinion the best programming language for Python and R, both are great choices for data scientist. R helps you in the academia, where Python helps more in industries, but both have great wealth of packages.
So, I my suggestion first try to develop your programming skills to enhance your knowledge.
Step 2: Learn Depth Of Machine learning
Now moving toward the machine learning, let me clear you that it is very complex field. In simple words machine learning is an application of artificial intelligence which give ability to system to automatically learn and improve from experience without being explicitly programmed.
Basically machine leaning focuses on the development of computer programs that can access data and learn by themselves.
So, to make career as data scientist you have to gather the knowledge of machine learning. You can take the help of internet, there are many different website which provide wide range of online courses on machine leaning.
Step 3: Learn Data Analysis And Manipulation
To work with data you have to learn data analysis, manipulation and visualization with programming language libraries.
For examples if you are working with Python language, you should learn how to use Pandas library.
where Pandas provide high performance data structure which is suitable for tabular data with columns of different types, it include tools for reading and writing data, handling missing data, cleaning messy data, visualizing data and many more.
That’s why you should learn how to work with pandas library, that help you to boost your career as data scientist.