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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

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.

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 !

筛选依据：

3101 - Introduction to Data Analytics 的 3125 个评论（共 4,096 个）

创建者 Mohanapriya

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Aug 21, 2025

Good

创建者 Swetha

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Aug 10, 2025

Good

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Jul 21, 2025

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Jul 17, 2025

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Jul 8, 2025

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Jul 2, 2025

GOOD

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Jun 9, 2025

Nice

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Jun 4, 2025

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Jun 3, 2025

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Jun 2, 2025

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May 25, 2025

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May 22, 2025

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May 21, 2025

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May 16, 2025

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May 1, 2025

NICE

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Apr 30, 2025

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Apr 9, 2025

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Apr 7, 2025

nice

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Mar 27, 2025

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Feb 20, 2025

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Feb 19, 2025

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Feb 10, 2025

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Feb 9, 2025

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Feb 6, 2025

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Jan 31, 2025

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