Data science training in Nagercoil

Data Science

Course Duration: 3 Months

Introduction

Data Science is an interdisciplinary field that combines various techniques, tools, and methodologies to extract insights and knowledge from data. It involves the collection, preparation, analysis, interpretation, and visualization of data to make informed decisions and solve complex problems. Data scientists use their expertise in statistics, programming, machine learning, and domain knowledge to extract valuable information from large and diverse datasets.

What is Data Science?

Data Science is the study of data. It is about extracting, analyzing, visualizing, managing and storing data to create insights. These insights help the companies to make powerful data-driven decisions. Data Science requires the usage of both unstructured and structured data.

It is a multidisciplinary field that has its roots in statistics, math and computer science. It is one of the most highly sought after jobs due to the abundance of data science position and a lucrative pay-scale.

What does a Data Scientist do?

A data scientist is someone who practices Data Science to analyze data so that they can provide actionable insights by using various processes, methods, systems, and algorithms. A Data Scientist is a highly qualified professional with highly developed mathematical, statistical, scientific, analytical and technical skills who can prepare, clean, and validate structured and unstructured data for businesses to use to make better decisions. As a whole, they must fulfill several responsibilities, as follows:

  • Identify data sources and gather data.
  • Analyze structured and unstructured data effectively.
  • Formulate strategies to solve business challenges.
  • Create data strategies in collaboration with team members and leaders.
  • Use algorithms and modules to uncover trends and patterns.
  • Cleaning and verifying the data to ensure it is accurate and uniform.

Job Roles in Data Science

  • Data Analyst
  • Data Engineers
  • Database Administrator
  • Machine Learning Engineer
  • Data Scientist
  • Data Architect
  • Statistician
  • Business Analyst
  • Data and Analytics Manager

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