Chat with us
How To Become a Data Scientist in 2022
  Posted on 27 May, 2022
How To Become a Data Scientist in 2022
The simple meaning of Data is it is a collection of information gathered by observation, questioning or measurement. Data is often organised in graphs or charts for analysis and may include facts, numbers or measurements. Science behind the data is called data science or Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from noisy, structured and unstructured data, and apply knowledge and actionable insights from data across a broad range of application domains.

☛ What Data Scientist/Data Scientist Meaning:

Data scientists are analytical experts who utilize their skills in both technology and social science to find trends and manage data. They use industry knowledge, contextual understanding, skepticism of existing assumptions – to uncover solutions to business challenges. Data Science is an emerging field right now and day by day the value of data science professional are growing because  of they are only person who takes a business decision behind the company. They makes a decision by seeing data and do some Mathematical operation into data.

☛ Why you should Learn Data Science:

There are many reason you should learn data science. If you are the guy who loves Mathematics, Statistics, Algorithm  and basic programming then once you should try  as career option to became a data scientist. Learning data science recreate yourself because if you learned all the required field of data science then you will be realizing that how data is important. We live in a digital world where everything is data driven. There is data science in business ,accounting, healthcare, government sector and so on. So having the ability to work with data is an essential skill. Combining your data science knowledge with whatever skill sets that you already have will add more value to your resume and CV and data science is also a very promising field with lots of high paying jobs opportunities.

☛ How to Learn Data Science:

We have talked about the definition as well as the why you should learn data science. If  are a beginner then you may find it difficult to learn data science. So, here I will be discussing step by step procedure that will help you out to learn data science .
⦁ Learn python and R programming languages because these are the mostly used programming languages used by data science professionals and also gain some database knowledge using tools such as Oracle, MySQL  because these will help you out that how data are being stored in database and how to store the data as well as analyzing data.
⦁ Learn Statistics, probability and mathematical analysis because statistics is mostly related to developing and studying methods for collecting, analyzing, interpreting and presenting empirical data. Probability is the measure of the likelihood that an event will occur. Mathematical analysis is the branch of mathematics dealing with limits and related theories, such as differentiation, integration, measure, infinite series, and analytic functions. Mainly learning these things tell you how data is co-related and what is the probability of occurring an event as well understanding of mathematics tells you how your model is accurate.
Data scientists are required to design algorithms that are effective and fast. Hence, creativity is very important for achieving so. Data science is not only about why it should be done, and  how it should be done.
⦁ Develop your critical thinking as well as decision making capabilities because Data science is all about how you can leverage the data and bring value out of it by extracting insights from the data and preparing reports of the results.  
⦁ Learn about the data visualizing tools like excel, Power Bi, Tableau etc because Data visualization tools provide an accessible way to see and understand trends, patterns in data, and outliers. Data visualization tools and technologies are essential to analyzing massive amounts of information and making data-driven decisions.
⦁ Build some real life projects like weather prediction, Stock market prediction, Fake  news detection ,Email classification, sentiment analysis etc because these projects will let you understand how the data science works and it will gives you hands on experience.
⦁ Create an account on Kaggle, Codalab, DataHack and there are so many contest going on these website so you have participate in these contest to become a competitive data scientist.
⦁ You can do some online course regrading data science like Introduction to data science, data analysis with python, data visualizing using Tableau etc and some best website to get these courses are Udemy, freecodecamp, khan academy, NPTEL etc.
⦁ Do these previous steps in a loop to became good data scientist because only practice can  make you perfect.
⦁ Now the last as well as the pro tip is do some research work while   you are learning and publish them  now you are become industry ready so you have to apply on various job portals to get a job.
Area of Working:
Data science professionals are working on every edges of industry like Ecommerce, IT, Scientific Research, Education, Finance, Health care and Retail .These wide range of area made data scientists unique as well as they are getting an edge over others.

☛ Role and Responsibilities of  a Data Scientist: 

Data Scientists are responsible for leveraging their programming skills to develop automated systems that help companies improve business operations. Their duties include collecting raw data from different sources; this entails analyzing results or creating new studies and transferring it into an appropriate format which is then analyzed. In addition, they must work closely with other departments and make decisions. There  are  having couple of responsibilities like-
⦁ Gather the data from various resources and processes as well as you have to clean the data .
⦁ Analyze those data and try find out the relation among them as well as discover the pattern.
⦁ Using the relation you have to make business strategies as well find out the best route for marketing and product development.
⦁ Now by the help of those data you have to make an custom model which will make various scientific task.
⦁ Now to come up with various testing framework for testing  the model quality.
⦁ You have to measure and improve the result at same time present the final result to the stakeholders.
There are wide range of roles in this field based upon your knowledge like Data Analytics, Data Analysis, Data Administrative, Data Engineers, Data Architects,Big data professionals .

☛ Career Prospective:

We are living in an era where technology is not constant and day by day the demand of the Data Scientist are increasing exponentially because the formula to establish a wide range of business make possible with the help of data science. Alternatively, some students may find that a degree in data analytics is better suited to their career goals. Studying data analytics teaches students how to employ statistics, analytics systems technology, and business intelligence to achieve specific goals. With this foundational knowledge, students discover how to find a logical, data-driven path to resolving a complex problem. They also learn how to overcome data obstacles, such as dealing with uncertain data sets and reconciling data from disparate sources. 
Data Scientist Salary: Now if we look into the salary of Data Scientist, the on an average salary of a fresher is 6-8 lakh and highest goes upto 20 lakh per annum and for the experience the average is 15-20 lakh and can goes upto 80 lakh.  In addition, recruitment services firm Michael Page India's 'The Humans of Data Science' report revealed that data science will create roughly 11.5 million job openings by 2026.So if you are choosing the data science as a career options then there is doubt to achieve you goel if you have proper industry required skills.

Comment (0)