HADOOP
Specialization | 32 Course Series | 4 Mock Tests
This Hadoop Certification Training includes 32 courses with 170 hours of video tutorials and One year access and several mock tests for practice. You will also get verifiable certificates (unique certification number and your unique URL) when you complete each of the 32 courses. This Hadoop certification course will help you learn about MapReduce, HDFS, Hive, PIG, Mahout, NoSQL, Oozie, Flume, Storm, Avro, Spark, Splunk, Sqoop, Cloudera.
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What you'll get
- 170 Hours
- 32 Courses
- Course Completion Certificates
- One year access
- Self-paced Courses
- Technical Support
- Mobile App Access
- Case Studies
Synopsis
- Courses: You get access to all 32 courses, Projects bundle. You do not need to purchase each course separately.
- Hours: 170 Video Hours
- Core Coverage: MapReduce, HDFS, Hive, Pig, Mahout, NoSQL, Oozie, Flume, Storm, Avro, Spark, Splunk, Sqoop, Cloudera and various application-based Projects
- Course Validity: One year access
- Eligibility: Anyone serious about learning Hadoop and wants to make a career in Data and analytics
- Pre-Requisites: Basic knowledge of data analytics, programming skills, Linux operating system, SQL
- What do you get? Certificate of Completion for each of the 32 courses and projects
- Certification Type: Course Completion Certificates
- Verifiable Certificates? Yes, you get verifiable certificates for each course with a unique link. These link can be included in your resume or LinkedIn profile to showcase your enhanced data analysis skills
- Type of Training: Video Course – Self Paced Learning
Content
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MODULE 1: Essentials Training
Courses No. of Hours Certificates Details Big Data and Hadoop Training | Online Hadoop Course 2h 9m ✔ Hadoop Architecture and HDFS 6h 13m ✔ MapReduce - Beginners 3h 01m ✔ MapReduce - Advanced 5h 35m ✔ Hive - Beginners 2h 47m ✔ Test - NTA UGC NET Paper 2 History- Mini Quiz Test - AGILE Project Management -
MODULE 2: Apache PIG and HIVE
Courses No. of Hours Certificates Details Hive - Advanced 5h 11m ✔ PIG - Beginners 2h 1m ✔ PIG - Advanced 2h 13m ✔ Test - NTA UGC NET Paper 2 Management- Mini Quiz Test - Practice AGILE - Beginner to Advanced -
MODULE 3: NoSQL| MongoDB| OOZIE| STORM| SPARK| SPLUNK
Courses No. of Hours Certificates Details NoSQL Fundamentals 2h 01m ✔ Mahout 3h 51m ✔ Apache Oozie 2h 11m ✔ Apache Storm 2h 4m ✔ Apache Spark - Beginners 1h 4m ✔ Apache Spark - Advanced 5h 49m ✔ Splunk Fundamentals 8h 33m ✔ Splunk Advanced 01 - Knowledge Objects 9h 29m ✔ Splunk Advanced 02 - Administration 39h ✔ Test - NTA UGC NET Paper 2 Political Science- Mini Quiz Test - Practice Exam - Social Media Marketing -
MODULE 4: Advanced Projects based Learning
Courses No. of Hours Certificates Details Project on Hadoop - Sales Data Analysis 47m ✔ Project on Hadoop - Tourism Survey Analysis 53m ✔ Project on Hadoop - Faculty Data Management 35m ✔ Project on Hadoop - E-Commerce Sales Analysis 35m ✔ Project on Hadoop - Salary Analysis 49m ✔ Project on Hadoop - Health Survey Analysis using HDFS 56m ✔ Project on Hadoop - Traffic Violation Analysis 1h 25m ✔ Project on Hadoop - Analyze Loan Dataset using PIG/MapReduce 2h 33m ✔ Project on Hadoop - Case Study on Telecom Industry using HIVE 2h 2m ✔ Project on Hadoop - Customers Complaints Analysis using HIVE/MapReduce 53m ✔ Project on Hadoop - Social Media Analysis using HIVE/PIG/MapReduce/Sqoop 3h 34m ✔ Project on Hadoop - Sensor Data Analysis using HIVE/PIG 5h 26m ✔ Project on Hadoop - Youtube Data Analysis using PIG/MapReduce 3h 02m ✔ Hadoop and HDFS Fundamentals on Cloudera 1h 22m ✔ Project on Hadoop - Log Data Analysis 1h 32m ✔ Test - ICSE Class 10 - English Exam Test - Professional US GAAP Exam - Mock Series
Sample Certificate
Requirements
- Willingness to pursue a career and Basic Knowledge in Analytics: Every individual who wants to pursue a career in the domain of analytics, big data, and MapReduce should make themselves capable enough to understand the needs of these all. They should be eager to persistently practice and brush up on their knowledge of analytics. If you are committed to an analytics career, this course will boost your skills and make you an asset to your organization. Skill and passion together give perfection to your work.
- Basic knowledge of Java: Learning Hadoop means learning HDFS & MapReduce. All programs or scripts written in MapReduce are in the form of Map & Reduce tasks. This task gets easier to write when you have a background in Java with you. The request will be to brush up Java basics first and then take this course.
Target Audience
- Students of Analytics: If you’re a student of analytics and want a career in the analytics domain,. This Hadoop certification will help you bridge the gap between your college curriculum and industry related to Hadoop by giving you practical and live experiences of Hadoop projects.
- Influenced Professional: If you are among the professionals who are awed by frequently used words like big data and Hadoop,. You should satiate your learning bud by taking this Hadoop certification. A basic level of technical knowledge can prove beneficial in the long run for your successful career by strengthening your prospects.
- Analytics Professionals: If you are already into analytics and want to take your career path to the next level, this Hadoop certification is definitely for you. Deep concepts and working commands will help you go deeper and challenge yourself. Today, many analytical designations are newly opening in the corporate world, which demands well-developed knowledge of big data & MapReduce. So that technical decisions are better made.
Course Ratings
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This was an excellent introduction course to Pig. Excellent comparisons. The instructor was clear, to the point, and provided easy to follow walk throughs throughout the entire course.
Daniel L Boyd
eduCBA is an ultimate online learning tool as it is simple to use and manage. The training materials are quite excellent and very helpful.
Anuj Vohra
A great course for beginners. This course was very detailed and informative and the lecturer thoroughly explained the concepts of big data and Hadoop in a manner which was easy to follow and understand. Additionally, his explanation of each line of code was also helpful. I would recommend this course to others.
Germaine Chase
It is amazing, I've learnt a lot. Very useful and informative
Frecyla A. Ranque