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 Training | Online Hadoop Course | 2h 2m | ✔ | View Curriculum |
| Hadoop Architecture and HDFS | 6h 13m | ✔ | View Curriculum |
| MapReduce Fundamentals | 3h 01m | ✔ | View Curriculum |
| MapReduce Advanced | 5h 35m | ✔ | View Curriculum |
| HIVE Fundamentals | 2h 47m | ✔ | View Curriculum |
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| Hive Advanced | 5h 11m | ✔ | View Curriculum |
| PIG Fundamentals | 2h 1m | ✔ | View Curriculum |
| PIG Advanced | 2h 13m | ✔ | View Curriculum |
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| NoSQL Fundamentals | 2h 01m | ✔ | View Curriculum |
| Apache Mahout | 3h 5m | ✔ | View Curriculum |
| Apache Oozie | 2h 11m | ✔ | View Curriculum |
| Apache Storm | 2h 3m | ✔ | View Curriculum |
| Apache Spark Fundamentals | 1h 38m | ✔ | View Curriculum |
| Apache Spark Advanced | 5h 47m | ✔ | View Curriculum |
| Splunk Fundamentals | 8h 33m | ✔ | View Curriculum |
| Splunk Advanced 01 - Knowledge Objects | 9h 29m | ✔ | View Curriculum |
| Splunk Advanced 02 - Administration | 39h | ✔ | View Curriculum |
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| Hadoop Project:01 - Sales Data Analysis | 42m | ✔ | View Curriculum |
| Hadoop Project:02 - Tourism Survey Analysis | 55m | ✔ | View Curriculum |
| Hadoop Project:03 - Faculty Data Management | 35m | ✔ | View Curriculum |
| Hadoop Project:04 - E-Commerce Sales Analysis | 35m | ✔ | View Curriculum |
| Hadoop Project:05 - Salary Analysis | 49m | ✔ | View Curriculum |
| Hadoop Project:06 - Health Survey Analysis using HDFS | 56m | ✔ | View Curriculum |
| Hadoop Project:07 - Traffic Violation Analysis | 1h 25m | ✔ | View Curriculum |
| Hadoop Project:08 - PIG/MapReduce - Analyze Loan Dataset | 2h 33m | ✔ | View Curriculum |
| Hadoop Project:09 - HIVE - Case Study on Telecom Industry | 2h 2m | ✔ | View Curriculum |
| Hadoop Project:10 - HIVE/MapReduce - Customers Complaints Analysis | 53m | ✔ | View Curriculum |
| Hadoop Project:11 - HIVE/PIG/MapReduce/Sqoop - Social Media Analysis | 3h 34m | ✔ | View Curriculum |
| Hadoop Project:12 - HIVE/PIG - Sensor Data Analysis | 5h 26m | ✔ | View Curriculum |
| Hadoop Project:13 - PIG/MapReduce - Youtube Data Analysis | 3h 02m | ✔ | View Curriculum |
| Hadoop and HDFS Fundamentals on Cloudera | 1h 22m | ✔ | View Curriculum |
| Log Data Analysis with Hadoop | 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.
