Big Data Analytics

Big Data in today’s digital era, is a valuable asset in a business, however such enormous amount of data cannot be processed, stored or analysed with traditional tools. For example a large corporation such as Facebook, which produces over 500 TB of data every single day, consisting of pictures, videos, messages and more.at a very high rate in different formats, such as structured data, semi-structured data and unstructured data needs better/modern tools for processing, stored and analysis. Big Data analytics can provide richer insight with the right kind of analysis since it leverages multiple sources of information to help identify patterns. It applies to real-time fraud detection, complex competition analysis, call centre optimization, consumer sentiment analysis, intelligent traffic management and smart power grid management.

Goal of Big Data Course

The primary goal of this course is to provide participants with the knowledge and skills to analyze and interpret large data sets using big data technologies. The course focuses on the tools and techniques necessary to handle, process, and extract insights from big data.

Use of Big Data Analytics

  • Finance industry
  • Healthcare sector
  • Transport industry
  • Government
  • Marketing

Objectives of Big Data Course

  • To introduce the fundamental concepts of big data and its ecosystem.
  • To provide hands-on training in big data tools such as SQL databases.
  • To teach techniques for data cleaning, processing, and analysis in a big data context.
  • To develop skills in visualizing and communicating big data insights.
  • To enable participants to apply big data analytics to solve complex problems.

Intended Audience

  • Students
  • Researchers
  • Data analysts
  • IT professionals
  • Anyone interested in learning about big data analytics.

Remarks: It is suitable for both beginners and those with some experience in data analysis who wish to expand their skills to handle big data.

Application

Participants will learn to apply big data analytics in various industries, including finance, healthcare, marketing, and technology. The course covers practical use cases and projects, enabling participants to tackle big data challenges in their respective fields.

Significance

Big data analytics is critical in leveraging vast amounts of data to gain actionable insights. Mastery of big data tools and techniques allows organizations to make informed decisions, optimize operations, and innovate. This course ensures that participants are prepared to harness the power of big data for strategic advantage.