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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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19,655 个评分

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

MB

Nov 15, 2020

Course is really helped me understand the concept of Data Analytics. The viewer's points explained What, Why, and how Data Analytics. And the final assignment gives an exact idea about Data analysis.

MS

May 3, 2023

A very structured course to give basic and useful insight to the world of data analysis. From zero, one absorbs the possible levels of details and requirements to get into the world of data analysis.

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3801 - Introduction to Data Analytics 的 3825 个评论（共 4,008 个）

创建者 Mani P N R

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Sep 10, 2024

Good

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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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Jul 21, 2024

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Jul 11, 2024

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Jun 16, 2024

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Mar 10, 2024

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Jan 30, 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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Oct 4, 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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Dec 5, 2022

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Dec 4, 2022

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Dec 4, 2022

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