Data Engineering and Machine Learning using Spark faq

instructor Instructor: Karthik Muthuraman and Romeo Kienzler instructor-icon
duration Duration: duration-icon

Organizations are increasingly relying on data engineering and machine learning using Spark to analyze large volumes of unstructured data and gain valuable insights. This course provides the necessary skills to become a successful Big Data practitioner.

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Course Feature Course Overview Pros & Cons Course Provider Discussion and Reviews
Go to class

Course Feature

costCost:

Free

providerProvider:

Coursera

certificateCertificate:

Paid Certification

languageLanguage:

English

start dateStart Date:

3rd Jul, 2023

Course Overview

❗The content presented here is sourced directly from Coursera platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [February 21st, 2023]

What does this course tell?
(Please note that the following overview content is from the original platform)

Organizations need skilled, forward-thinking Big Data practitioners who can apply their business and technical skills to unstructured data such as tweets, posts, pictures, audio files, videos, sensor data, and satellite imagery and more to identify behaviors and preferences of prospects, clients, competitors, and others.



In this short course you'll gain practical skills when you learn how to work with Apache Spark for Data Engineering and Machine Learning (ML) applications. You will work hands-on with Spark MLlib, Spark Structured Streaming, and more to perform extract, transform and load (ETL) tasks as well as Regression, Classification, and Clustering.

The course culminates in a project where you will apply your Spark skills to an ETL for ML workflow use-case.

NOTE: This course requires that you have foundational skills for working with Apache Spark and Jupyter Notebooks. The Introduction to Big Data with Spark and Hadoop course from IBM will equip you with these skills and it is recommended that you have completed that course or similar prior to starting this one.What can you get from this course?
We consider the value of this course from multiple aspects, and finally summarize it for you from three aspects: personal skills, career development, and further study:
(Kindly be aware that our content is optimized by AI tools while also undergoing moderation carefully from our editorial staff.)
What skills and knowledge will you acquire during this course?
This course will provide learners with the skills and knowledge to work with Apache Spark for Data Engineering and Machine Learning (ML) applications. Learners will gain an understanding of the fundamentals of data engineering and machine learning, including data processing, data analysis, data visualization, and more. They will learn how to use Spark to create and deploy ML models, and how to use Spark Structured Streaming to process streaming data. Additionally, learners will gain an understanding of the importance of data engineering and machine learning in the modern business world. By the end of the course, learners will have the skills and knowledge to apply their data engineering and machine learning skills to real-world problems.

How does this course contribute to professional growth?
Data Engineering and Machine Learning using Spark is a short course designed to help learners gain practical skills in working with Apache Spark for Data Engineering and Machine Learning (ML) applications. This course provides learners with the skills and knowledge to apply their data engineering and machine learning skills to real-world problems. Learners will gain an understanding of the fundamentals of data engineering and machine learning, including data processing, data analysis, data visualization, and more. They will also learn how to use Spark to create and deploy ML models, and how to use Spark Structured Streaming to process streaming data. Additionally, learners will gain an understanding of the importance of data engineering and machine learning in the modern business world. By the end of the course, learners will have the skills and knowledge to apply their data engineering and machine learning skills to real-world problems. This course contributes to professional growth by providing learners with the skills and knowledge to use data engineering and machine learning techniques to identify behaviors and preferences of prospects, clients, competitors, and others. Additionally, learners will be able to use Spark to create and deploy ML models, and use Spark Structured Streaming to process streaming data.

Is this course suitable for preparing further education?
Data Engineering and Machine Learning using Spark is a suitable course for preparing further education. It provides learners with foundational skills for working with Apache Spark and Jupyter Notebooks, as well as an understanding of the fundamentals of data engineering and machine learning. Learners will gain an understanding of the importance of data engineering and machine learning in the modern business world, and will be able to use Spark to create and deploy ML models, and use Spark Structured Streaming to process streaming data. Additionally, learners will be able to use data engineering and machine learning techniques to identify behaviors and preferences of prospects, clients, competitors, and others. This course is ideal for learners who are looking to gain practical skills in working with Apache Spark for Data Engineering and Machine Learning applications.

Pros & Cons

Pros Cons
  • pros

    Course covers Spark and Python API.

  • pros

    Course provides good overall Data Engineering offering.

  • pros

    Course has great exercise to practice knowledge.

  • cons

    Labs are not debugged.

  • cons

    Course is superficial and rushed.

  • cons

    Final project has technical issues.

Course Provider

Provider Coursera's Stats at AZClass

Discussion and Reviews

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faq FAQ for Apache Spark Courses

Q1: What is Data Engineering and Machine Learning using Spark?

Data Engineering and Machine Learning using Spark is a course that teaches students how to use the Apache Spark platform to process and analyze large datasets. It covers topics such as data processing, data analysis, data visualization, machine learning, and big data. Students will learn how to use Spark to build data pipelines, create machine learning models, and visualize data.

Q2: What topics are covered in this course?

This course covers topics such as data processing, data analysis, data visualization, machine learning, and big data. Students will learn how to use Spark to build data pipelines, create machine learning models, and visualize data. Additionally, the course will cover topics related to data science, such as data cleaning, feature engineering, and model evaluation.

Q3: Does the course offer certificates upon completion?

Yes, this course offers a free certificate. AZ Class have already checked the course certification options for you. Access the class for more details.

Q4: How do I contact your customer support team for more information?

If you have questions about the course content or need help, you can contact us through "Contact Us" at the bottom of the page.

Q5: Can I take this course for free?

Yes, this is a free course offered by Coursera, please click the "go to class" button to access more details.

Q6: How many people have enrolled in this course?

So far, a total of 0 people have participated in this course. The duration of this course is hour(s). Please arrange it according to your own time.

Q7: How Do I Enroll in This Course?

Click the"Go to class" button, then you will arrive at the course detail page.
Watch the video preview to understand the course content.
(Please note that the following steps should be performed on Coursera's official site.)
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Once in the cart, select the course you want and click "Enroll."
Coursera may offer a Personal Plan subscription option as well. If the course is part of a subscription, you'll find the option to enroll in the subscription on the course landing page.
If you're looking for additional Apache Spark courses and certifications, our extensive collection at azclass.net will help you.

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