Introduction to Big Data with Spark and Hadoop by IBM via Coursera: Fee, Duration, How to Apply

Quick Facts

particular	details
Medium of instructions English	Mode of learning Self study	Mode of Delivery Video and Text Based

Course overview

Introduction to Big Data with Spark and Hadoop is a beginner-level online course offered by Coursera in collaboration with IBM. The course, which can be covered in about 19 hours, will guide and introduce the learners to Big data with Spark and Hadoop. Introduction to Big Data with Spark and Hadoop Certification Course is part of two different programmes or specializations offered by IBM, namely, IBM Data Engineering Professional Certificate and NoSQL, Big Data, and Spark Foundations Specialization.

Introduction to Big Data with Spark and Hadoop Training, provided by Coursera, will help the learners to learn Big Data with Hadoop, the implication of Big Data in Big Data Analytics, Resilient Distributed Datasets (RDDs), and many more. Introduction to Big Data with Spark and Hadoop Certification by Coursera demands from the learners 7 weeks of study. The course will provide the candidates with an insight into the Big Data processing tools and their features, limitations, benefits, and applications.

Course and certificate fees

Coursera specifies the Introduction to Big Data with Spark and Hadoop Certification Fee depending on the number of months the students want to cover the course successfully. The learners can make the payment of the month-wise course fee in EMI payment mode. Coursera also renders the students 14 days of refund duration.

Introduction to Big Data with Spark and Hadoop Fee Structure

Duration	Amount in INR
1 Month	INR 4,117
3 Months	INR 8,234 (INR 2,745/month)
6 Months	INR 12,352 ( INR 2,059/month)

certificate availability

Yes

certificate providing authority

Coursera

Who it is for

Big data developer Big data engineer

Introduction to Big Data with Spark and Hadoop Classes are highly recommended for professionals who work in Big Data-related jobs such as Big Data Developer, Big Data Engineer, Big Data Analytics Engineer, and the like.

Eligibility criteria

Certification Qualifying Details

To get hold of the certification after the completion of the Introduction to Big Data with Spark and Hadoop online course, the candidates will need to duly finish all the gamut of proceedings of the programmes. Plus, the learners will have to pay the course fee prescribed by Coursera.

What you will learn

Knowledge of big data Knowledge of apache spark

Introduction to Big Data with Spark and Hadoop Certification Syllabus will help the learners to have a thorough knowledge of the following:

Big Data with Hadoop
SparkML
Big Data
HDFS, HBase, Spark, and MapReduce.
Apache Hadoop architecture,
Apache Spark
Impact of Big Data, processing methods, use cases, and tools.

The syllabus

Module 1: What is Big Data?

Videos

What is Big Data?
Impact of Big Data
Parallel Processing, Scaling, and Data Parallelism
Big Data Tools and Ecosystem
Open Source and Big Data
Beyond the Hype
Big Data Use Cases

Readings

Course Introduction
Summary & Highlights

Practice Exercises

Practice Quiz: Introduction to Big Data
Graded Quiz: Introduction to Big Data

Module 2: Introduction to the Hadoop Ecosystem

Videos

Introduction to Hadoop
Intro to MapReduce
Hadoop Ecosystem
HDFS
HIVE
HBASE

Reading

Summary & Highlights

Practice Exercises

Practice Quiz: Introduction to Hadoop
Graded Quiz: Introduction to Hadoop

Module 3: Apache Spark

Videos

Why use Apache Spark?
Functional Programming Basics
Parallel Programming using Resilient Distributed Datasets
Scale out / Data Parallelism in Apache Spark
Dataframes and SparkSQL

Reading

Summary & Highlights

Practice Exercises

Practice Quiz: Introduction to Apache Spark
Graded Quiz: Introduction to Apache Spark

Module 4: DataFrames and SparkSQL

Videos

RDDs in Parallel Programming and Spark
Data-frames and Datasets
Catalyst and Tungsten
ETL with DataFrames
Real-world usage of SparkSQL

Reading

Summary & Highlights

Practice Exercises

Practice Quiz: Introduction to Data-Frames & SparkSQL
Graded Quiz: Introduction to Data-Frames & SparkSQL

Module 5: Development and Runtime Environment Options

Videos

Apache Spark Architecture
Overview of Apache Spark Cluster Modes
How to Run an Apache Spark Application
Using Apache Spark on IBM Cloud
Setting Apache Spark Configuration
Running Spark on Kubernetes

Readings

Summary & Highlights
Summary & Highlights

Practice Exercises

Practice Quiz: Spark Architecture
Graded Quiz: Spark Architecture
Practice Quiz: Spark Runtime Environments
Graded Quiz: Spark Runtime Environments

Module 6: Monitoring & Tuning

Videos

The Apache Spark User Interface
Monitoring Application Progress
Debugging Apache Spark Application Issues
Understanding Memory Resources
Understanding Processor Resources

Readings

Summary & Highlights
Instructions for the Final Exam
Congrats & Next Steps
Team & Acknowledgements

Practice Exercises

Practice Quiz: Introduction to Monitoring & Tuning
Graded Quiz: Introduction to Monitoring & Tuning
Final Exam

Admission details

Step 1 -Browse the official URL

https://www.coursera.org/learn/introduction-to-big-data-with-spark-hadoop

Step 2- Kickstart the online certification programme by clicking ‘Enroll Now’.

Scholarship Details

Coursera provides financial aid for the students of the Introduction to Big Data with Spark and Hadoop Certification who cannot afford the course fee. They can apply for it by providing the needed information on the link provided on the course page. The scholarship will be distributed based on the financial background of the students.

How it helps

The Introduction to Big Data with Spark and Hadoop Certification benefits for the learners include that they can understand the big data with Spark and Hadoop and related concepts in greater depth. Plus, the candidates will be conferred a certificate of completion at the end of the programme.

Instructors

Ms Aije Egwaikhide
Senior Data Scientist
IBM

Other Bachelors, Other Masters

Mr Romeo Kienzler
Data Scientist
IBM

Other Masters

Mr Rav Ahuja
Global Program Director
IBM

B.E /B.Tech, MBA

FAQs

Who are the instructors who developed the Introduction to Big Data with Spark and Hadoop online course?

The certification programme on Big Data is prepared and supervised by Karthik Muthuraman, a software engineer, and Aije Egwaikhide, the senior data scientist at IBM.

Which level of audience and learners can join the Introduction to Big Data with Spark and Hadoop online certification?

The online certificate programme is recommended for intermediate-level students who want to explore Big Data Analytics.

The online course is part of two different programmes offered by IBM; what are they?

The online programme is part of the IBM Data Engineering Professional Certificate and NoSQL, Big Data, and Spark Foundations Specialization.

What are the enrollment options for the students to pursue the course?

There are two options for students to enroll in the programme, namely, the audit mode which requires no fee, and the enrolment mode by paying the fee.