What you'll get
  • 124+ Hours
  • 32 Courses
  • Mock Tests
  • Course Completion Certificates
  • Self-paced Courses
  • Technical Support
  • Case Studies

Synopsis

  • Learn Hadoop and big data fundamentals
  • Work with HDFS, MapReduce, Hive, Pig, Spark, and other tools
  • Handle and process large datasets efficiently
  • Build and execute real-world Hadoop projects
  • Implement data workflows and analytics pipelines
  • Apply big data concepts to practical problems

Content

Courses No. of Hours Certificates Details
Big Data and Hadoop Training | Online Hadoop Course2h 2mView Curriculum
Hadoop Architecture and HDFS6h 13mView Curriculum
MapReduce Fundamentals3h 01mView Curriculum
MapReduce Advanced5h 35mView Curriculum
HIVE Fundamentals2h 47mView Curriculum
Courses No. of Hours Certificates Details
Hive Advanced5h 11mView Curriculum
PIG Fundamentals2h 1mView Curriculum
PIG Advanced2h 13mView Curriculum
Courses No. of Hours Certificates Details
NoSQL Fundamentals2h 01mView Curriculum
Apache Mahout3h 5mView Curriculum
Apache Oozie2h 11mView Curriculum
Apache Storm2h 3mView Curriculum
Apache Spark Fundamentals1h 38mView Curriculum
Apache Spark Advanced5h 47mView Curriculum
Splunk Fundamentals8h 33mView Curriculum
Splunk Advanced 01 - Knowledge Objects9h 29mView Curriculum
Splunk Advanced 02 - Administration39h View Curriculum
Courses No. of Hours Certificates Details
Hadoop Project:01 - Sales Data Analysis42mView Curriculum
Hadoop Project:02 - Tourism Survey Analysis55mView Curriculum
Hadoop Project:03 - Faculty Data Management35mView Curriculum
Hadoop Project:04 - E-Commerce Sales Analysis35mView Curriculum
Hadoop Project:05 - Salary Analysis49mView Curriculum
Hadoop Project:06 - Health Survey Analysis using HDFS56mView Curriculum
Hadoop Project:07 - Traffic Violation Analysis1h 25mView Curriculum
Hadoop Project:08 - PIG/MapReduce - Analyze Loan Dataset2h 33mView Curriculum
Hadoop Project:09 - HIVE - Case Study on Telecom Industry2h 2mView Curriculum
Hadoop Project:10 - HIVE/MapReduce - Customers Complaints Analysis53mView Curriculum
Hadoop Project:11 - HIVE/PIG/MapReduce/Sqoop - Social Media Analysis3h 34mView Curriculum
Hadoop Project:12 - HIVE/PIG - Sensor Data Analysis5h 26mView Curriculum
Hadoop Project:13 - PIG/MapReduce - Youtube Data Analysis3h 02mView Curriculum
Hadoop and HDFS Fundamentals on Cloudera1h 22mView Curriculum
Log Data Analysis with Hadoop1h 32mView Curriculum

Description

The Comprehensive Hadoop Certification Program offers an in-depth learning experience for anyone aiming to build a successful career in big data and analytics. This program provides access to a complete bundle of Hadoop courses and projects, eliminating the need to purchase each course separately. With over 124 video hours of content, learners gain practical, hands-on experience with Hadoop technologies and applications.

The course covers core Hadoop concepts, including HDFS, MapReduce, Hive, Pig, Mahout, NoSQL, Oozie, Flume, Storm, Avro, Spark, Splunk, Sqoop, and Cloudera, along with multiple real-world projects to reinforce learning. Through self-paced video training, participants develop the skills needed to implement Hadoop solutions and handle large-scale data analytics efficiently.

Participants can add verifiable certificates for each course and project to their resumes and LinkedIn profiles to showcase their analytics skills. By the end of the program, learners will be proficient in Hadoop frameworks, big data tools, and application-based projects, making them valuable assets in the rapidly growing analytics and big data industry.

Sample Certificate

Course Certification

Requirements

  • Basic knowledge of data analytics

  • Familiarity with programming concepts

  • Understanding of the Linux operating system

  • Basic SQL knowledge

  • Willingness to pursue a career in big data and analytics.

Target Audience

  • Students and beginners aiming for a career in data analytics

  • IT and analytics professionals looking to upskill in big data technologies

  • Business analysts and developers interested in Hadoop and MapReduce

  • Professionals curious about big data and eager to gain hands-on experience

  • Anyone wanting to advance their career in data analytics, big data, or enterprise applications.