How to become a Data Scientist| Skills For Data Scientist

Data Science is the hotest job of 21st centurey. Because in the technical world data increase day by day. It may be structure or unsturcture data. Every company has previous years large amount of data. This data is helpful for growth the business of any company. In the previous years of data information are hidden that which product is best selling in the market and which types of customer buy that product. By which a company target his customer and increase selling of product.

How to become a Data Scientist

The nature of data science is a hybride of many disciplines. where is composed of different subject ares like math (i.e statistics, probablyity, calculus, ets.),database management, data visualization, programming knowledge,domain knowledge, etc.

In this blog i will discuss about this topics in short-

1. Communication Skills

Data Scientist is play main important role in the the company and management the product by which profit of the company increase.

So planning of the product of company is manage by the data scientist. And after it explain this plain to employee in better way.

You must be great at Communication Skills as well in order to become an expert Data Scientist! That’s because while you understand the data better than anyone else, you need to translate your data findings into quantified insights for a non-technical team to aide in the decision making.

2. Mathematics

Mathematics is a important skills for become a data scientist. Because the plain of any company is describe by using some types of graphs like bar plot,pie chart ,scatter plot etc. 

As a Data Scientist, your primary job is to collect, analyze and interpret large amounts of data and produce actionable insights for a company. So obviously Statistical Analysis is a big part of the job description!!!
That means you should be familiar with at least the basics of Statistical Analysis including statistical tests, distributions, linear regression, probability theory, maximum likelihood estimators, etc. And that’s not enough! While it is important to understand which statistical techniques are a valid approach for a given data problem, it is even more important to understand which ones aren’t. Also, there are many analytical tools that are immensely helpful in Statistical Analysis as a Data Scientist. The most popular of these are SAS, Hadoop, Spark, Hive, Pig, etc. So it’s important that you have a thorough knowledge of them.

3. Programming skills

There are many software is available in market and this software is easily provide different types analysis and formulas. if any data scientist is worked using these software then it work only in limitation or limite technique which is providing in the software.But data scientist use technique which is suitable for that time.Hence data scientist use programming language in which they create own technique and solve the problem.there are different programming available in the market like python,rube etc.

4. Machine Learning

Machine learning is a technique in which we will try to learn to machine by some algorithm. these algorithm is used for data analysis.these algorithm is like as linear regression,logistic regression,KNN etc.

Machine Learning algorithms can be implemented using R or Python libraries (mentioned above!) so you don’t need to be an expert on them. What you need expertise on is the ability to understand which algorithm is required based on the type of data you have and the task you are trying to automate.

5. Data Management and Data Wrangling

In data science data is collect from various sources like facebook, twetters, etc and this data is stored at any one database,this process known as data management, and data formate of all data is different by which data doesn't analysis properly.

so for analyse in proper way all data convert into same formate, this process is known as data warngling.

and collection

     Hence these are all the skills required for becoming a carear as a data science