What you'll get
- 124+ Hours
- 32 Courses
- Mock Tests
- Course Completion Certificates
- Self-paced Courses
- Technical Support
- Case Studies
Synopsis
- Master the fundamentals of Hadoop and big data processing.
- Gain hands-on experience with HDFS, MapReduce, Hive, Pig, Spark, and related tools.
- Efficiently manage and analyze large datasets.
- Execute real-world projects to reinforce practical Hadoop skills.
- Design and implement data workflows and analytics pipelines.
- Apply big data concepts to solve practical business and technical challenges.
Content
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| Big Data and Hadoop Course | 2h 2m | ✔ | View Curriculum |
| Hadoop Admin | 6h 13m | ✔ | View Curriculum |
| MapReduce - Beginners | 3h 01m | ✔ | View Curriculum |
| MapReduce Training | 5h 35m | ✔ | View Curriculum |
| Basic Apache Hive Training | 2h 47m | ✔ | View Curriculum |
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| Advanced Apache Hive Training | 5h 11m | ✔ | View Curriculum |
| Apache Pig for Beginners | 2h 1m | ✔ | View Curriculum |
| Apache Pig Training | 2h 13m | ✔ | View Curriculum |
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| NoSQL Fundamentals | 2h 01m | ✔ | View Curriculum |
| Mahout | 3h 5m | ✔ | View Curriculum |
| Apache Oozie Training | 2h 11m | ✔ | View Curriculum |
| Apache Storm | 2h 3m | ✔ | View Curriculum |
| Apache Spark for Beginners | 1h 38m | ✔ | View Curriculum |
| Apache Spark - Advanced | 5h 47m | ✔ | View Curriculum |
| Splunk | 8h 33m | ✔ | View Curriculum |
| Splunk Knowledge Objects | 9h 29m | ✔ | View Curriculum |
| Splunk Administration | 39h | ✔ | View Curriculum |
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| Sales Data Analysis Using Hadoop | 42m | ✔ | View Curriculum |
| Tourism Survey Analysis Using Hadoop | 55m | ✔ | View Curriculum |
| Faculty Data Management Using Hadoop | 35m | ✔ | View Curriculum |
| E-Commerce Sales Analysis Using Hadoop | 35m | ✔ | View Curriculum |
| Salary Analysis Using Hadoop | 49m | ✔ | View Curriculum |
| Health Survey Analysis Using Hadoop | 56m | ✔ | View Curriculum |
| Traffic Violation Analysis Using Hadoop | 1h 25m | ✔ | View Curriculum |
| Analyze Loan Dataset Using Hadoop | 2h 33m | ✔ | View Curriculum |
| Project on Hadoop - Telecom Industry using HIVE | 2h 2m | ✔ | View Curriculum |
| Customer Complaints Analysis using HIVE/MapReduce | 53m | ✔ | View Curriculum |
| Social Media Analysis using HIVE/PIG Hadoop | 3h 34m | ✔ | View Curriculum |
| Sensor Data Analysis using HIVE/PIG | 5h 26m | ✔ | View Curriculum |
| YouTube Data Analysis using PIG MapReduce | 3h 02m | ✔ | View Curriculum |
| Hadoop and HDFS Fundamentals on Cloudera | 1h 22m | ✔ | View Curriculum |
| Project on Hadoop - Log Data Analysis | 1h 32m | ✔ | View Curriculum |
Description
The Comprehensive Hadoop Certification Program is a comprehensive learning solution for individuals pursuing careers in big data and analytics. Designed to provide a thorough understanding of Hadoop and its ecosystem, this program bundles multiple courses and projects, offering a single access point without additional purchases.
With over 124 hours of video content, participants gain practical experience with Hadoop frameworks, tools, and applications. The curriculum spans HDFS, MapReduce, Hive, Pig, Mahout, NoSQL, Oozie, Flume, Storm, Avro, Spark, Splunk, Sqoop, and Cloudera, along with project-based exercises that simulate real-world scenarios.
Learners progress at their own pace through structured video lessons and hands-on projects, building the technical skills necessary to implement Hadoop solutions, perform large-scale data analytics, and manage complex data pipelines. Participants receive a verifiable certificate for each completed course and project, which they can share on resumes and professional networks. By the end of the program, they gain practical knowledge, industry-ready skills, and the confidence to excel in big data and analytics roles.
Sample Certificate
Goals
- Equip learners with foundational and advanced Hadoop knowledge.
- Provide practical experience with big data tools and frameworks.
- Enable participants to build and execute real-world data projects.
- Foster expertise in data processing, analysis, and workflow automation.
- Prepare learners for industry-recognized certification and career advancement.
Objectives
- Understand Hadoop architecture and its ecosystem components.
- Gain hands-on skills in HDFS, MapReduce, Hive, Pig, and Spark.
- Learn to design and implement scalable data workflows.
- Develop the ability to handle large datasets efficiently.
- Apply analytics techniques to solve real-world business problems.
- Achieve professional competency in Hadoop technologies for career growth.
Highlights
- Extensive Curriculum Covers Hadoop, Spark, Hive, Pig, NoSQL, Mahout, and more.
- Practical Projects: Multiple hands-on projects to reinforce learning.
- Self-Paced Learning: Flexible video-based training for individual schedules.
- Certification: Verifiable certificates for each course and project.
- Industry-Relevant Skills Focused on real-world big data applications.
- Guided by seasoned professionals, the courses offer expert-led instruction and practical insights.
Requirements
- Basic understanding of data analytics concepts.
- Familiarity with programming fundamentals.
- Knowledge of Linux operating system basics.
- Introductory SQL knowledge.
- Motivation 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 seeking to upskill in Hadoop and big data.
- Business analysts and software developers interested in Hadoop solutions.
- Professionals exploring hands-on experience with big data technologies.
- Anyone aspiring to advance their career in analytics, enterprise data, or big data engineering.
FAQ
Q1. Is prior Hadoop experience required?
No. The course is designed for beginners and progressively builds skills from basic to advanced levels.
Q2. Are there hands-on projects included?
Learners complete multiple real-world projects to gain practical experience.
Q3. How long will it take to complete the program?
Completion depends on the learner’s pace, but the program offers over 124 hours of video content.
Q4. Can certificates be shared professionally?
Absolutely. Each course and project comes with a verifiable certificate suitable for LinkedIn and resumes.
Q5. Do I need specific software or hardware?
A basic computer setup with internet access and familiarity with Linux is sufficient.
Career Benefits
- Develop highly sought-after Hadoop and big data skills.
- Enhance employability in analytics, data engineering, and IT roles.
- Gain confidence to implement large-scale data solutions in real-world environments.
- Strengthen resumes and professional profiles with verifiable certifications.
- Open doors to careers in big data analytics, enterprise applications, and cloud-based data management.
