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

4.8
20,518 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

SC

Oct 16, 2021

Pretty good course. In my opinion the reading material was a bit brief and did not really cover the quiz questions. Other than that though it was pretty clear and relatively easy to understand.

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:

1376 - Introduction to Data Analytics 的 1400 个评论(共 4,208 个)

创建者 Vicente M

May 1, 2022

Amazing. I wasn't expecting too much, but I ended up surprised.

创建者 Abdurrahman Y

Feb 20, 2022

If you have zero knowledge, I recommend you choose this course.

创建者 Abdelaleem T

Feb 11, 2022

very strong material for starting the career path thank you all

创建者 Muhammad N

Jan 24, 2022

It helped me get an overview about the world of data analytics.

创建者 Ilaha M

Dec 13, 2021

It was well structured and easy to learn, not hard one! thanks.

创建者 Adava A

Oct 11, 2021

it was a really nice experience, I learnt a lot from the course

创建者 Ifiokobong A

Jul 5, 2021

I enjoyed every bit of this course. The course was well taught.

创建者 Long T Q

Jun 13, 2021

Adaptable for newbies and experienced ones in Data Related Jobs

创建者 Mairaj F

May 6, 2025

this course help me to understand the basics of data anlytics.

创建者 Kimberly B

Nov 15, 2024

The modules are clearly explained and give important insights.

创建者 Javed A

Oct 23, 2024

In this course, I learn and upskills much as time to learning.

创建者 Aliyan A

Oct 15, 2024

it is very good course very easy to understand I am very happy

创建者 Laura C L U

Feb 27, 2024

Es un curso muy completo, aborda gran cantidad de información.

创建者 Khalid K

Jan 16, 2024

Very Interesting Knowledgeable and Fruitful Course Appreciated

创建者 2022-24 H D

Sep 12, 2023

Very convenient and knowledgeable course with various insights

创建者 Sonia v

May 6, 2023

l am happy to be

the part

of the Coursera family

Thank you 😊

创建者 Mohammed M

Feb 17, 2023

a very clear, smart and interesting intro to the field of data

创建者 ShirleyDee B

Sep 29, 2022

I loved this Introdiction and I'm excited to see what's next!

创建者 Eric N K

Aug 28, 2022

Great course. I learnt more than I thought I would. Excellent!

创建者 Simuzar G

Jul 15, 2022

Great course, helps to see a bigger picture of data analytics.

创建者 Jay B

Jul 5, 2022

Absolutely excellent course for starting with data analytics.

创建者 Alp O

Jun 20, 2022

My surname is written wrong in the certificate. Please fix it.

创建者 Akanksha S

Jun 13, 2022

Amazing introduction and explanation about the data analytics.

创建者 Ketan R

May 30, 2022

We good and details course. Easy language and simple examples.

创建者 Cristian B

May 23, 2022

It's great for people who are completely new to data analytics