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Big Data Analytics Course Syllabus

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Our Big Data Analytics Course Syllabus is designed to help you excel in big data analytics. You’ll learn about data preprocessing, data mining, machine learning, and data visualization. The course uses tools like Hadoop, Spark, Python, and R to analyze large datasets and extract insights. Upon course completion, you’ll have the proficiency to confidently address real-world big data analytics challenges. So, go ahead and enroll in our Big Data Analytics Training in Chennai to become an expert in Big Data Analytics.

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  • Technology Training
  • Aptitude Training
  • Learn to Code (Codeathon)
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  • Panel Mock Interview
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Breakdown of Big Data Analytics Course Fee and Batches

Hands On Training
3-5 Real Time Projects
60-100 Practical Assignments
3+ Assessments / Mock Interviews
October 2024
Week days
(Mon-Fri)
Online/Offline

2 Hours Real Time Interactive Technical Training 

1 Hour Aptitude 

1 Hour Communication & Soft Skills

(Suitable for Fresh Jobseekers / Non IT to IT transition)

Course Fee
October 2024
Week ends
(Sat-Sun)
Online/Offline

4 Hours Real Time Interactive Technical Training

(Suitable for working IT Professionals)

Course Fee

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Syllabus for The Big Data Analytics Course

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Big Data Introduction

1

  • Big data: definition and taxonomy
  • Big data value for the enterprise
  • Setting up the demo environment
  • First steps with the Hadoop “ecosystem”
The Hadoop Ecosystem

2

  • Introduction to Hadoop
  • Hadoop components: MapReduce/Pig/Hive/HBase
  • Loading data into Hadoop
  • Handling files in Hadoop
  • Getting data from Hadoop
Querying big data with Hive

3

  • Introduction to the SQL Language
  • From SQL to HiveQL
  • Introduction to HIVE e HIVEQL
  • Using Hive to query Hadoop files
Big Data & Machine learning

4

  • Quick into to Machine learning
  • Big Data & Machine Learning
  • Machine learning tools
    • Spark & SparkML
    • H2O
    • Azure ML
Big data & Machine learning

5

  • Big Data & Machine Learning (continued)
  • Next steps in the big data world

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Coding Practices
Realtime Projects

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Interview Skills
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Panel Mock
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Unlimited
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Interview
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