How to Become a Data Scientist In 2020: A Beginner’s Guide

With the growth of Artificial Intelligence & Machine learning, the field of data science is also becoming popular since it find relevance in research & work.

The field of Data Science as a career has bright scope & if you too are interested in this field, then this Article is for you. In this post, we will discuss the importance of Data Science & how to become Data Scientist.

WHAT IS DATA SCIENCE?

Data science is a multidisciplinary filed which utilizes algorithms, statistics, machine learning, and data analysis methods to study patterns and other trends. The insights obtained from that are used for problem-solving and promote research in various scientific and technical fields.

WHAT DOES A DATA SCIENTIST DO?

Data scientists analyze given data to observe trends & characteristics. They employ several relevant procedures and research models to understand data. The outcomes they come to can be used to present businesses and agencies with relevant insights. These results can then be used by the companies to strategize and create better policies or products

SKILLS REQUIRED TO BECOME DATA SCIENTIST

• Statistics skills: Basic concepts such as linear regression, probability, etc. & important tools like Hadoop & SAS.
• Machine Learning: You should be familiar with supervised and unsupervised Machine Learning algorithms, like are K-means clustering, K nearest neighbor, Decision tree, Naive Bayes classification, etc.
• Programming skills: You need various programming language like Python & R to manipulate data& obtain interpretation.
• Data Management: Knowledge of data Management tools like Spark, Snowflake etc.
• Communication skills:Along with good technical skills, you should also be good at communication because as a Data Scientist you will also need to present your findings

Now after knowing the qualities and skills required for Data Science, you can start your journey of becoming a Data Scientist by joining best online data science courses.

JOB ROLES IN DATA SCIENCE

• Data science
• Data Analyst
• Data Engineer
• Business Intelligence Professional
• Statistician
• Machine Learning Engineer

Tips to Start Career in This Field as Follows:

1. Select The Right Job Role

There are various roles in the data science industry. A data analyst, a data scientist, a machine learning expert, data engineer etc. are a few of the many roles that you could go into. You should be clear about what you want to become depending on your education and work experience, otherwise, you will stay perplexed about the path to take and skills to hone.

1. Join A Peer Group

Now that you apprehend which role you want to work for and are getting ready for it, the next important thing for you to do is to join a peer group. Since peer groups will keep you motivated. Opting for a new domain may seem a bit daunting when you do it solely, but when you have friends who are beside you, the task looks a bit easier.

1. Take Up The Course

To become a successful data science professional you have to be clear about its basic as well as advanced concepts. For that, you can join online instructor led training will helps to find the study material on internet. The choice of free vs. paid is not the issue, the main purpose should be whether the course clears your basics and brings you to a proper level, from which you can push on further.

4.Read About Data Science

To never stop learning, you have to cover each and every source of knowledge you can find. The most beneficial source of this information is blogs run by most famous Data Scientists. Read about data science every day and make it a habit to be updated with the recent affairs.

1. Work on Data Science Projects

Learning how to use tools and techniques are not the only way to become a data scientist. Building a portfolio by working on real projects can be very beneficial.

THE BOTTOM LINE

Data scientist career path needs a lot of dedication and hard work Whether you’ve just begun reading about what it has to offer, or you’re already a professional data scientist who just require a little bit of motivation, remember – as long as you work hard and have fair and strict work manners, you shouldn’t face any problems.