Big Data Analytics

Big data refers to the use of advanced data analytics methods that help extract value from large data sets both structured and unstructured. With the availability of large data sets, there is a need for tools to computationally analyse and help reveal patterns, trends, associations to make meaningful decisions. With this Business Analytics course, you will learn to master statistical and analytical tools such as hypothesis testing, clustering, decision trees, data visualization, regression models, data blending, data extracts, and forecasting.



4 Courses |
  • 160 hours
  • End module assessments
  • Dedicated Learning Advisors for training
  • 24x7 Online LMS

Your learning path


Data Science with Python
Big data with Spark
Big Data Analytics with Hadoop-Level 1
Big Data Analytics with Hadoop-Level 2

Course Fee: This is a paid course.

Suitable Job Roles


  • Big Data Developer
  • Hadoop Developer
  • MIS Executive
  • Data Scientist
  • ETL Developer
1

Data Science with Python

Python is a powerful high-level, object-oriented programming language. It has wide range of applications from Web development, scientific and mathematical computing. The syntax of the language is clean and length of the code is relatively short. It allows you to think about the problem rather than focusing on the syntax. SQLite is one free lightweight database commonly used by Python programmers to store data. Many highly trafficked websites, such as YouTube, are created using Python.
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2

Big data with Spark

Apache Spark Certification Training Course is designed to provide you with the knowledge and skills to become a successful Big Data & Spark Developer.
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3

Big Data Analytics with Hadoop-Level 1

Big data refers to the use of advanced data analytics methods that help extract value from large data sets both structured and unstructured. With the availability of large data sets, there is a need for tools to computationally analyse and help reveal patterns, trends, associations to make meaningful decisions.
Go to Course
4

Big Data Analytics with Hadoop-Level 2

Big data refers to the use of advanced data analytics methods that help extract value from large data sets both structured and unstructured. With the availability of large data sets, there is a need for tools to computationally analyse and help reveal patterns, trends, associations to make meaningful decisions.
Go to Course

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