Scalable Machine Learning on Big Data using Apache Spark 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

The IBM advanced data science qualification curriculum includes the Scalable Machine Learning on Big Data using Apache Spark online course which provides students with much-needed insights to scale up the machine learning and data science methods in Apache Spark on big data sets.

The Scalable Machine Learning on Big Data using Apache Spark syllabus will teach about datasets that need capabilities beyond a single computer and Apache Spark provides the open source-based framework and comes as a part of the IBM Artificial Intelligence Engineering.

It is an intermediate difficulty level coursework that is fully online and provides a verified certificate. The Scalable Machine Learning on Big Data using Apache Spark by Coursera takes a total duration of 4 weeks to complete and is taught in the English language along with subtitles provided for student comfort. The course will help candidates with prerequisite knowledge on programming, SQL and machine learning with a flexible deadline and serve as a great asset for anybody aspiring to be a Machine Learning Engineer.

Course and certificate fees

Type of course

Free

The fees for the course Scalable Machine Learning on Big Data using Apache Spark is -

Head	Amount in INR
Certificate fees	Rs. 2435

certificate availability

Yes

certificate providing authority

Coursera

certificate fees

₹2,435

Eligibility criteria

Education

Candidates will need to have basic knowledge of Python programming, machine learning and SQL for pursuing Scalable Machine Learning on Big Data using Apache Spark certification.

Certification Qualification Details

Students must pass both the quizzes and the final test in each module of the Scalable Machine Learning on Big Data using Apache Spark certification within the time period defined to obtain the verified credential.

What you will learn

Machine learning Knowledge of apache spark

The Scalable Machine Learning on Big Data using Apache Spark programme will work to help the students with

The candidates use Scalable Machine Learning on Big Data using Apache Spark certification syllabus to gain a realistic understanding of Apache Spark and how to use it to solve machine learning problems in both small and large datasets
The candidate will learn to comprehend how parallel code, capable of running on thousands of CPUs, is written.
The candidate will use Apache SparkML Pipelines, implement machine learning algorithms on petabytes of data using large-scale computing clusters.
The candidate will learn to remove out-of-memory errors through traditional frameworks in machine learning.
The candidate learns the methods used by many good Kagglers who use this method for monitoring different ML models in parallel to find the best performing one.
The candidate will learn to use Apache SparkSQL and the Apache Spark DataFrame API to run SQL statements on very big data sets.

The syllabus

Module 1: Week 1: Introduction

Videos

What is big data?
Introduction to apache spark for machine learning on big data
Parallel data processing strategies of apache spark
Data storage solutions
Resilient distributed dataset and data frames - apachesparkSQL
Functional programming basics

Readings

Setup of the grading and exercise environment
Exercise 1 - working with RDDs
Exercise 2 - functional programming basics with RDDs
Exercise 3 - working with data frames
Programming language options for apache spark (optional)
Course syllabus

Assignments

Apache spark and parallel data processing
Practice quiz (ungraded) - apache-spark concepts

Module 2: Week 2: Scaling math for statistics on apache spark

Videos

Standard deviation
Averages
Kurtosis
Skewness
Plotting with apache spark and python's matplotlib
Covariance, covariance matrices, correlation
PCA
Dimensionality reduction
Exercise on plotting

Readings

Exercise on plotting
Exercise 1 - statistics and transformations using DataFrames
Exercise on PCA

Assignments

Parallelism in apache spark
Practice quiz (ungraded) - statistics and API usage on Spark
Questions on PCA
Questions on plotting

Module 3: Week 3: Introduction to apache sparkML

Videos

Using K-Means in apache sparkML
Introduction to sparkML
How ML pipelines work
Introduction to clustering: K-means
Extract - transform - load

Readings

Exercise 1: modifying an apache sparkML feature engineering pipeline
Exercise 2 - working with clustering and apache SparkML

Assignments

SparkML concepts
Practice quiz (ungraded) - ML pipelines
Practice quiz (ungraded) - sparkML algorithms

Module 4: Week 4: Supervised and unsupervised learning with SparkML

Videos

Linear regression with Apache SparkML
Linear regression
Logistic regression with Apache SparkML
Logistic regression

Readings

Course project
Exercise 1 - improving classification performance

Assignments

Course project quiz
Practice quiz (ungraded) - sparkML algorithms (2)

Admission details

Filling the form

To apply, students must follow the steps outlined below for the Scalable Machine Learning on Big Data using Apache Spark online programme

Step 1: Students must visit the website here. https://www.coursera.org/learn/machine-learning-big-data-apache-spark

Step 2: From the drop-down menu, students must choose "enrol."

Step 3: The students must then complete the qualifications section of the form.

Step 4: You must first pay the course fee in order to obtain access to the course material.

How it helps

The Scalable Machine Learning on Big Data using Apache Spark certification benefits the candidates' help into advanced concepts of machine learning, data science and empower themselves to be a machine learning engineer. The course will teach the techniques used in machine learning in many successful companies such as Amazon, Apple, eBay, IBM, Samsung, NASA, SAP, Yahoo! and Zalando. The certificate has a lot of quizzes and eligibility required for the student and it acts as proof of the amount of rigour provided to the student. The course is taught by imminent instructors and well certified by IBM and will serve as a long-standing benefit for the student’s profile. When a certificate is applied to a portfolio, it gains a lot of traction in the candidate's profile, encouraging them to have it on their resume as well as social networking sites like Linkedin, where they can connect with recruiters and other people interested in pursuing a machine learning career. When the certificate is shared in addition to the individual's resume or CV, it is easier for recruiters in this area to note and shortlist candidates for interviews. A candidate who is interviewing for many professional positions will be able to obtain a fair remuneration package and will have an edge over other candidates for a promotion.

Instructors

Mr Romeo Kienzler
Data Scientist
IBM

Other Masters

FAQs

How much does it cost to participate in the online programme?

Since the enrollment and learning of the modules are free, there is no Scalable Machine Learning on Big Data using Apache Spark fee.

Can I apply for a scholarship to pursue this programme?

Yes, financial assistance or aid is possible during the Scalable Machine Learning on Big Data using Apache Spark training

Does this course have any prerequisites?

Yes, the Scalable Machine Learning on Big Data using Apache Spark certification would require the applicant to be a Python programmer with a clear understanding of SQL and machine learning.

Are subtitles included in the certificate course or are they available separately?

Yes, the course includes subtitles in five languages, including English, for the purpose of students' comprehension.

What is the protocol for being accepted to the course or enrolling in it?

For enrollment, the candidate should visit the following website to register for a course. https://www.coursera.org/learn/machine-learning-big-data-apache-spark

How can I access the programme?

Students enrolled in the Scalable Machine Learning on Big Data using Apache Spark programme will have access to the course guides.

Is there a free trial enrollment or acceptance choice available to Coursera students?

During the 7-day free trial, students will have access to a specific course for learning.

Will the credential be distributed through many platforms?

Yes, the Scalable Machine Learning on Big Data using Apache Spark online course certificate can be shared and sent across several networking platforms.

How much time will it take to complete this programme?

The course curriculum is split into several modules that focus on the syllabus and runs for a duration of 6 hours.

In the course, do students have the choice of selecting their own class time or schedule?

Yes, one of the Scalable Machine Learning on Big Data using Apache Spark certification benefits is the provision for students who need a flexible timetable and deadline.