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学生对 IBM 提供的 Introduction to Data Engineering 的评价和反馈

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3,494 个评分

课程概述

Start your journey in one of the fastest growing professions today with this beginner-friendly Data Engineering course! You will be introduced to the core concepts, processes, and tools you need to know in order to get a foundational knowledge of data engineering. as well as the roles that Data Engineers, Data Scientists, and Data Analysts play in the ecosystem. You will begin this course by understanding what is data engineering as well as the roles that Data Engineers, Data Scientists, and Data Analysts play in this exciting field. Next you will learn about the data engineering ecosystem, the different types of data structures, file formats, sources of data, and the languages data professionals use in their day-to-day tasks. You will become familiar with the components of a data platform and gain an understanding of several different types of data repositories such as Relational (RDBMS) and NoSQL databases, Data Warehouses, Data Marts, Data Lakes and Data Lakehouses. You’ll then learn about Big Data processing tools like Apache Hadoop and Spark. You will also become familiar with ETL, ELT, Data Pipelines and Data Integration. This course provides you with an understanding of a typical Data Engineering lifecycle which includes architecting data platforms, designing data stores, and gathering, importing, wrangling, querying, and analyzing data. You will also learn about security, governance, and compliance. You will learn about career opportunities in the field of Data Engineering and the different paths that you can take for getting skilled as a Data Engineer. You will hear from several experienced Data Engineers, sharing their insights and advice. By the end of this course, you will also have completed several hands-on labs and worked with a relational database, loaded data into the database, and performed some basic querying operations....

热门审阅

AR

Sep 25, 2021

I felt the course was the perfect introduction for someone like me that has been on the sales side of most software. I feel that it wasnt ovewhelming at all, and I mostly enjoyed the labs.

MF

Mar 25, 2022

This course is optimal for the foundations and understanding of Data Engineering. Please take it and absorb all the knowledge and be amazed about your future with the Data Engineer certification.

筛选依据：

676 - Introduction to Data Engineering 的 700 个评论（共 739 个）

创建者 Muhammad S

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May 29, 2023

Interesting and informative

创建者 Ziad A

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Oct 24, 2022

Great Introduction Course

创建者 Kouakou B K

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May 7, 2023

Educational for bigenners

创建者 Manuel G C

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Jan 13, 2022

Good introduction course

创建者 Bharath T

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Nov 26, 2024

good for me as a begin.

创建者 leon m

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Jun 22, 2024

i recommend this course

创建者 Ricardo D R A

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Dec 27, 2024

Muy bueno y entendible

创建者 Akinbuluma T

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Aug 17, 2023

Nice and informative

创建者 kamsii o

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Sep 23, 2023

Very Comprehensive

创建者 Lamine F

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May 14, 2025

bonne instruction

创建者 Hopeton M

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Oct 25, 2021

loved the course

创建者 Sheraz M

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Aug 13, 2021

Informative

创建者 Hanifi L M

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Jan 27, 2025

Nice course

创建者 NISCHAL A

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Jan 25, 2025

good course

创建者 Paitoon p

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Apr 9, 2023

Good course

创建者 Garrick B N

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Jun 2, 2023

very good

创建者 Pedro Q

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Apr 28, 2022

Exelente

创建者 Nadia A H P

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Jul 11, 2021

Amazing

创建者 khalil d

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Oct 22, 2024

good

创建者 Mustafa S d A

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Aug 22, 2024

bien

创建者 kartikey m

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Jul 3, 2024

best

创建者 Shubham G

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Nov 25, 2023

Nice

创建者 21O18 K F

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Jul 13, 2023

Good

创建者 Peter S

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Feb 2, 2025

The course itself is a very good intro to terms and the data engineering world, but the optional Db2-Lite offering costs me 3 days of troubleshooting and still isn't working. I can provision a DB but cannot access the UI. I am given an error code HWCCON0104E where I cannot find more info and IBM is not willing to support because it is a free account. This means for each section I cannot complete the optional trainings which I was really excited to do. I am considering to give up on the IBM class and move to Google because of this.

创建者 Valerio M S

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Apr 5, 2023

Very basic, too much interviewing people and few content.

The IBM Cloud account setup fails very often, issues with keys and required to send emails.

Few questions are misleding if not wrong:

- the one asking which one is an example of semi-structured data where both emails and Tweets are actually semi-structured data.

- Other example the one asking to count unique values in a SQL statement where COUNT and DISTINCT are two options while the correct answer should be COUNT DISTINCT