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Quick Facts

Medium Of Instructions	Mode Of Learning	Mode Of Delivery
English	Self Study	Video and Text Based

Course Overview

Big Data Analysis with Scala and Spark is an online course offered by Coursera that has been taken by 93,905 learners so far. The certificate programme is part of the 5-course Functional Programming in Scala Specialization which is administered by cole Polytechnique Fédérale de Lausanne (EPFL). Big Data Analysis with Scala and Spark Certification Course is prepared and delivered by Prof. Heather Miller who is an assistant professor at Carnegie Mellon University.

Offered by Coursera, Big Data Analysis with Scala and Spark Training will provide a thorough understanding of big data analysis with the help of Spark and Scala, Scala Programming, SQL, Big Data, Apache Spark, the programming model of Spark, and many more. Big Data Analysis with Scala and Spark Certification by Coursera will also provide a practical understanding of Spark and Scala with hands-on examples.

The Highlights

Provided by Coursera
Offered by EPFL
Intermediate Level Course
Self-Paced Learning Option
100% Online Course
Around 28 Hours to Complete
Flexible Deadlines
Shareable Certificate
Financial Aid Available

Programme Offerings

English videos with multiple subtitles
Shareable Certificate
Financial aid available
Shareable Certificates
Self-Paced Learning Option
Course Videos & Readings
practice quizzes
Graded Assignments with peer feedback
graded Quizzes with feedback

Courses and Certificate Fees

Certificate Availability	Certificate Providing Authority
yes	Coursera

The Big Data Analysis with Scala and Spark Certification Fee will vary based on the number of months the learners are onboard. The month-wise course fee is structured as one month, three months, and six months. The learners have the option of paying the fee using the EMI option.

Big Data Analysis with Scala and Spark Fee Structure

Duration	Amount in INR
1 Month	INR 3,878
3 Months	INR 7,757 (INR 2,586/month)
6 Months	INR 11,636 ( INR 1,939/month)

Eligibility Criteria

To be eligible for the Big Data Analysis with Scala and Spark online course, the learners should have a minimum of one-year programming experience and familiarity with using the command line. It is also recommended for the students to have expertise in Java or C# and experience with programming languages of C/C++, Python, Javascript, or Ruby.

Certification Qualifying Details

The certification of big data analysis with scala and spark Coursera programme will be given to the learners after they successfully complete their course proceedings and pay the fee prescribed by Coursera.

What you will learn

Programming skillsKnowledge of Big DataSQL knowledgeKnowledge of Apache Spark

Through the Big Data Analysis with Scala and Spark Certification Syllabus, the learners will be able to get an in-depth understanding of scala and spark for big data analytics. Plus, the students will attain the capacity for data manipulation with Spark and Scala, come up with algorithms for the data analysis, the process of loading data into Apache Spark, and the like.

Who it is for

Big Data DeveloperBig Data Engineer

Big Data Analysis with Scala and Spark Classes is a suitable programme for people like Big Data Developer, Big Data Engineer, and Big Data Analytics engineers.

Admission Details

Step 1 -Browse the official URL

https://www.coursera.org/learn/scala-spark-big-data

Step 2- By clicking on ‘Enroll Now’, the learners can pursue the programme.

The Syllabus

Videos

Introduction, Logistics, What You'll Learn
Data-Parallel to Distributed Data-Parallel
Latency
RDDs, Spark's Distributed Collection
RDDs: Transformation and Actions
Evaluation in Spark: Unlike Scala Collections!
Cluster Topology Matters!

Readings

Working on Assignments
Tools Setup (Please read)
Scala 3 REPL and Worksheets
Cheat Sheet
SBT tutorial and Submission of Assignments (Please read)
Learning Resources
Scala Style Guide

Videos

Reduction Operations
Pair RDDs
Transformations and Actions on Pair RDDs
Joins

Videos

Shuffling: What it is and why it's important
Partitioning
Optimizing with Partitioners
Wide vs Narrow Dependencies

Videos

Structured vs Unstructured Data
Spark SQL
DataFrames (1)
DataFrames (2)
Datasets

Instructors

Swiss Federal Institute of Technology Lausanne Frequently Asked Questions (FAQ's)

1: What are the requirements for the learners to be eligible for taking the Big Data Analysis with Scala and Spark online course?

To be eligible for the programme the learners must have one-year programming experience aligned with their acquaintance with using the command line.

2: Who can join the Big Data Analysis with Scala and Spark online certification?

The intermediate learners who are interested in learning big data analysis can join the online Coursera big data analysis with scala and spark programme.

3: How many hours will I need to complete the course at the minimum?

You can finish the programme successfully within about 28 hours at the minimum.

4: Suppose the learner is not an English speaker, can he/she still join the programmes?

Yes, non-English speaking learners can also join the course as the subtitles are given in the languages of Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, and Spanish other than English.

5: Is the EMI option available for the fee payment?

Yes, the EMI payment option is available for the learners to pay the fee.