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

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课程概述

Ready to start a career in Data Analysis but don’t know where to begin? This course presents you with a gentle introduction to Data Analysis, the role of a Data Analyst, and the tools used in this job. You will learn about the skills and responsibilities of a data analyst and hear from several data experts sharing their tips & advice to start a career. This course will help you to differentiate between the roles of Data Analysts, Data Scientists, and Data Engineers. You will familiarize yourself with the data ecosystem, alongside Databases, Data Warehouses, Data Marts, Data Lakes and Data Pipelines. Continue this exciting journey and discover Big Data platforms such as Hadoop, Hive, and Spark. By the end of this course you’ll be able to understand the fundamentals of the data analysis process including gathering, cleaning, analyzing and sharing data and communicating your insights with the use of visualizations and dashboard tools. This all comes together in the final project where it will test your knowledge of the course material, and provide a real-world scenario of data analysis tasks. This course does not require any prior data analysis, spreadsheet, or computer science experience....

热门审阅

JS

Jul 20, 2023

All content was related and helpful, the only issue I see is the final assessment, peer graded. It looks like some students who want to get feedback on others', do not read the answers at all !

UV

Sep 17, 2024

Thank you for creating this course. As a beginner trying to become mor analytically sound using data analytics, it was a great start to see the extent of tools that we can in subsequent courses.

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3976 - Introduction to Data Analytics 的 4000 个评论（共 4,202 个）

创建者 Parth S

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Nov 22, 2024

good

创建者 ANSHIKA S

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Nov 14, 2024

good

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Nov 12, 2024

good

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Nov 11, 2024

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创建者 swapnanil B

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Nov 11, 2024

good

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Sep 10, 2024

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创建者 Ashlesha

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Sep 4, 2024

Nice

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Aug 31, 2024

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Aug 24, 2024

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Aug 1, 2024

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Jul 23, 2024

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Jul 21, 2024

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Jul 11, 2024

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Jun 16, 2024

GOOD

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Mar 10, 2024

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Jan 26, 2024

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Dec 12, 2023

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Dec 8, 2023

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Nov 28, 2023

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Aug 15, 2023

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May 28, 2023

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Apr 25, 2023

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