Question 1

What is data science and advanced data analytics?

Accepted Answer

Organizations of all types and sizes have business processes that generate massive volumes of data. Every moment, all sorts of information gets created by computers, the internet, phones, texts, streaming video, photographs, sensors, and much more. In the global digital landscape, data is increasingly imprecise, chaotic, and unstructured. As the speed and variety of data increases exponentially, organizations are struggling to keep pace.

Data science and advanced data analytics are part of a field of study that uses raw data to create new ways of modeling and understanding the unknown. To gain insights, businesses rely on data professionals to acquire, organize, and interpret data, which helps inform internal projects and processes. Data scientists and advanced data analysts rely on a combination of critical skills, including statistics, scientific methods, data analysis, and artificial intelligence.

Question 2

What do data professionals do?

Accepted Answer

A data professional is a term used to describe any individual who works with data and/or has data skills. At a minimum, a data professional is capable of exploring, cleaning, selecting, analyzing, and visualizing data. They may also be comfortable with writing code and have some familiarity with the techniques used by statisticians and machine learning engineers, including building models, developing algorithmic thinking, and building machine learning models.

Data professionals are responsible for collecting, analyzing, and interpreting large amounts of data within a variety of different organizations. The role of a data professional is defined differently across companies. Generally speaking, data professionals possess technical and strategic capabilities that require more advanced analytical skills such as data manipulation, experimental design, predictive modeling, and machine learning. They perform a variety of tasks related to gathering, structuring, interpreting, monitoring, and reporting data in accessible formats, enabling stakeholders to understand and use data effectively. Ultimately, the work of data professionals helps organizations make informed, ethical decisions.

Question 3

Why start a career in data science or advanced data analytics?

Accepted Answer

Large volumes of data — and the technology needed to manage and analyze it — are becoming increasingly accessible. Because of this, there has been a surge in career opportunities for people who can tell stories using data, such as senior data analysts and data scientists. These professionals collect, analyze, and interpret large amounts of data within a variety of different organizations. Their responsibilities require advanced analytical skills such as data manipulation, experimental design, predictive modeling, and machine learning.

Question 4

Which jobs will this certificate help me prepare for?

Accepted Answer

The Google Advanced Data Analytics Certificate on Coursera is designed to prepare learners for roles as entry-level data scientists and advanced-level data analysts.

Question 5

What tools and platforms are taught in the curriculum?

Accepted Answer

During this certificate program, you’ll gain knowledge of tools and platforms like Jupyter Notebook, Kaggle, Python, Stack Overflow, and Tableau.

Question 6

What background is required?

Accepted Answer

Question 7

Why enroll in the Google Advanced Data Analytics Certificate?

Accepted Answer

You’ll learn job-ready skills through interactive content — like activities, quizzes, and discussion prompts — in under six months, with less than 10 hours of flexible study a week. Along the way, you’ll work through a curriculum designed by Google employees who work in the field, with input from top employers and industry leaders. You’ll even have the opportunity to complete end-of-course projects and a final capstone project that you can share with potential employers to showcase your data analysis skills. After you’ve graduated from the program, you’ll have access to career resources and be connected directly with employers hiring for open entry-level roles in data science and advanced roles in data analyti

Question 8

Do I need to take the course in a certain order?

Accepted Answer

We highly recommend completing the seven courses in the order presented because the content in each course builds on information covered in earlier lessons.

Question 9

When will I have access to the lectures and assignments?

Accepted Answer

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course.  You can try a Free Trial instead, or apply for Financial Aid. The course may offer &#x27;Full Course, No Certificate&#x27; instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

Question 10

What will I get if I subscribe to this Certificate?

Accepted Answer

When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Google Advanced Data Analytics Capstone

Google Advanced Data Analytics Capstone

您将学到什么

您将获得的技能

您将学习的工具

要了解的详细信息

积累 Data Analysis 领域的专业知识

该课程共有3个模块

Capstone Project

涵盖的内容

7个视频总计15分钟

6篇阅读材料总计40分钟

3个作业总计105分钟

2个非评分实验室总计80分钟

AI in Advanced Data Analytics

涵盖的内容

7个视频总计23分钟

4篇阅读材料总计28分钟

1个作业总计45分钟

Put your Advanced Data Analytics Certificate to work

涵盖的内容

2个视频总计5分钟

4篇阅读材料总计14分钟

1个插件总计10分钟

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