Career Path To Become a Data Scientist

Also Read: How to Become a DevOps Engineer?

• Video recommendation by Netflix to viewers based on their past history
  
• Face tag of individuals by Facebook
  
• Automation of digital ads like if visit any particular item on amazon then the google AdSense start showing ads related to those items only when you visit any website.
  
• Google search used data science to filter and show best results to users
  

Now you might be thinking:

• How to become a Data Scientist?
  
• What skills are required?
  
• What education is required to become a Data Scientist?
  
• What would be the best career path?
  
• Where to find the job as a Data Scientist?

How to Become a Data Scientist?

Skills required to become Data Scientist:

1. Programming: Python is the most common language that's used in data science, but the knowledge of other languages like Java, C/C++, SQL etc. is expected.
   
2. Machine Learning skills: Machine learning is among the core skills required to become a data scientist. Machine learning helps you in building a predictive model like in an e-commerce company you want to predict the sale for the next month based on the data of previous months. Machine learning algorithms will help you to do this.
   
3. Analytical Tools: As data science is all about data analytics, so the knowledge of different analytical tools is mandatory. SAS, Spark, Hadoop, R are some popular tools in data science world.
   
4. Data Visualization skills: Only data scientist understands the data and their findings, but the they need to explain their findings to the other teams in a simple way and charts, graphs etc are the best way to do that. So, the data scientist must have knowledge of different data visualization tools like ggplot, d3. Jays' and Matplottlib, and Tableau.
   
5. Mathematics and Statistics skills: Well, no need to explain, as a data scientist your mathematics and statistics skills should be strong because you need to play with data with different aspects. Collecting, analyzing, organizing and the interpreting the data.
   
6. Data wrangling and preprocessing skills: The data you are going to deal with is not only huge but messy and imperfect also. Like the date format somewhere would '22-Jan-2021', and somehow it would be '22/01/2021', same value can be with small letters or capital letters. So, before you start analyzing the data you need to clean that up too.
   
7. Business Acumen: It is an essential skill because a data scientist must know about the problems and potential challenges to be solved for the growth of the organization. When they know about the problems, only then they can understand the best use of their findings.
   
8. Strong Communication skills: Data scientist need to work with different teams. They need to explain them their findings, so their communication skills must be very strong. Because everyone you gonna work with is not with the same background and knowledge.
   
9. Learning Skills: Technology today changing very rapidly. So you have to always ready to learn something new.
   
10. Team Work: As a data scientist, you need to work with many other teams in the organization.