{"id":271,"date":"2019-03-21T12:12:22","date_gmt":"2019-03-21T12:12:22","guid":{"rendered":"https:\/\/www.livewireindia.com\/blog\/?p=271"},"modified":"2025-08-21T07:11:17","modified_gmt":"2025-08-21T07:11:17","slug":"data-science-training-in-pondicherry-how-to-become-a-data-scientist","status":"publish","type":"post","link":"https:\/\/livewireindia.com\/blog\/data-science-training-in-pondicherry-how-to-become-a-data-scientist\/","title":{"rendered":"How To Become A Data Scientist | Data Science Training In Pondicherry"},"content":{"rendered":"\n
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\u201cAll businesses could use a garden where Data Scientists plant seeds of possibility and water them with collaboration.\u201d – <\/em>
Damian Mingle<\/strong><\/p>\n<\/blockquote>\n\n\n\n

The common personality of a data scientist is, they are deep thinkers and highly passionate about their job. They are unique. Being a Data scientist to have not only a masters in degree But also they have to get Data Science Training<\/a> <\/strong>from Livewire. Livewire has a center in Pondicherry. Pondicherry is the best training institute for the Data Science Certification Course.<\/a><\/strong><\/p>\n\n\n\n

What Is Data Science?<\/strong>  <\/strong><\/h2>\n\n\n\n

Data science<\/strong> is a multidisciplinary field that uses statistics, mathematics, information science, and computer science in order to understand and solve the complex problem analytically. Data science is a combination of many fields such as database management, data analytics<\/strong>, predictive modeling, machine learning, big data, coding, data visualization, reporting, etc.<\/p>\n\n\n\n

How to become a Data Scientist:<\/strong><\/h2>\n\n\n\n

First step:<\/strong><\/h3>\n\n\n\n

Start studying with any of the tools and coding such as R\/SAS\/python\/Hadoop. Know the basic algorithm, statistics, and also mathematics.<\/p>\n\n\n\n

Do an internship:<\/strong><\/h3>\n\n\n\n

The internship must be chosen based on interest and also in career growth. Here you can build experience as a student or a graduate. Internships help you to work and gain knowledge in live projects.its 100% sure to says that Livewire will give awareness about in this Data Science Certification Course.<\/a><\/strong><\/p>\n\n\n\n

Learn SQL:<\/strong><\/h3>\n\n\n\n

SQL is a very important and basic tool. As an effective data scientist, you must know how to extract the data from the database using SQL. SQL is used in various data management task, querying a database, inserting and existing records. It will be a big advantage that, being a data scientist with a SQL programmer.<\/p>\n\n\n\n

Master in Success Metrics and tracking metrics:<\/strong><\/h3>\n\n\n\n

Success metrics related to the active user\u2019s and also it helps to figure out things which are worked in the past and to improve in the present. Tracking metrics which tracks the time spent by the user, video watching, force quits video upload.<\/p>\n\n\n\n

Learn python\/tableau:<\/strong><\/h3>\n\n\n\n

For being a data scientist, Python is the main language to learn because of its rich ecosystem. Python is a very powerful language which is used for any application in the IT field. Python emphasizes productivity and, readability. To visualize the data using Tableau will improve your data awareness skill as a result that provides you a better future.<\/p>\n\n\n\n

Big data knowledge:<\/strong><\/h3>\n\n\n\n

Knowledge of bid data is required to analyze distributed computing big data and unstructured data analytics. Big data software (distributed computing tools) used for data science are Knime, OpenRefine, R-Programming, Hadoop, Talend, RapidMiner, Hive, Pig, Mahout, spark, java to complete the delivery process.<\/p>\n\n\n\n

Database knowledge:<\/strong><\/h3>\n\n\n\n

A data scientist should be a master in database management, data blending, querying, data manipulation, also<\/g> ETL. Database tools such as SQL\/Mysql, OLAP cubes Teradata DB2, SQL Server, Oracle, Informix, Exadata are used for data administration tasks.<\/p>\n\n\n\n

Analytical skills :<\/strong><\/h4>\n\n\n\n

The Heart of the<\/g> data scientist\u2019s skill set is analytical skills. In-depth knowledge of at least one of these analytical tools( SAS \/RSPSS \/Python\/ weka\/ MATLAB) for data science. In Generally, R is preferred. <\/p>\n\n\n\n

Love to learn data science where ever you <\/strong>are<\/strong>:<\/strong><\/h4>\n\n\n\n

For being a data scientist, look for knowledge everywhere because the data scientist must be master in analytical skills, be a keen viewer and love to learn data science.<\/p>\n\n\n\n

Communication:<\/strong><\/h3>\n\n\n\n

Communication plays a very important role. Because conveying or explaining any problem and ability to share data analytics to people is an important job for a data scientist, here it will differentiate a good data scientist from a data scientist.<\/p>\n\n\n\n

Presentation or visualization :<\/strong><\/h3>\n\n\n\n

After collecting data the next exclusive step is to how we extract that data in an attractive and meaningful manner. The tools that can be used for presentation are excel, Tableau, QlikView, etc… For one thing ,Whatever the data we have, the destination is how we are presenting them.<\/p>\n\n\n\n

Stay tuned with data science:<\/strong><\/h4>\n\n\n\n

Stay tuned with websites such as Reddit, Google News, kdnuggets<\/g>, Kaggle, etc…to get updates regarding current scenarios, job opportunities etc. Update your skills<\/g> day to day to get a better career in data science .<\/g><\/p>\n\n\n\n

How to be a Data Scientist:<\/strong><\/h2>\n\n\n\n

Some keys will mentioned below, assist who can capable for a data scientist.<\/p>\n\n\n\n