|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/an-introduction-to-google-cloud-platform-for-data-engineers/
课程评论：没有评论
课程名称：数据工程师的谷歌云平台入门 课程概述： 欢迎参加《数据工程师的谷歌云平台入门》课程。这是帮助您获得谷歌认证数据工程师所需知识的系列课程之一。谷歌认证数据工程师是目前数据和机器学习工程师领域的唯一认证，哈佛评论认为数据科学家是21世纪最性感的职业，但如果没有一支优秀的数据工程师团队，您在工作第一周可能会面临挑战。大多数应用机器学习都是监督式的，意味着您使用数据集来构建机器学习或深度学习模型；然而，现实中的数据通常混乱且复杂，处理大规模数据集的能力有限。 谷歌云平台的工具为解决这些问题提供了强有力的支持，因此本课程将为您奠定成为数据工程师的基础，帮助您准备更高级的数据工程课程。虽然这门课程不能单独给予您通过认证考试的全部知识和技能，但它将为后续的深入学习打下坚实的基础。 本课程的五大理由： 1) 谷歌是机器学习的全球领袖，拥有丰富的大数据和数据科学团队经验。 2) 课程采用简单化的教学策略，内容直截了当，避免冗余，帮助您快速掌握数据工程的核心知识。 3) 教师拥有20多年实际数据工作经验，亲自撰写过多本书籍和课程，具备丰富的实用背景。 4) 这是市场上唯一专注于数据工程认证的课程，帮助您在求职中更具竞争力。 5) 目前市场上缺乏专注于谷歌认证数据工程师考试所需技能的课程，本课程的目标是确保您能够将所学应用于真实场景。 通过这门课程，您将对谷歌云平台及其组成部分有一个全面的理论理解，并能够在后续学习中更加得心应手。
COURSE REVIEWS: "I want to say thank you for all your courses. They are awesome and you are a great teacher. I passed my GCP Data Engineer exam yesterday. Your courses had a big part in that. Thanks again!" - Steve D."I took a few of your courses and you are an amazing teacher. Your courses have brought me up to speed on how to create databases and how to interact and handle Data Engineers and Data Scientists. I will be forever grateful." - Tony"Covering all the stuff I did in Associate Cloud Engineer! All fine." - Malachy "I learned in short time key knowledge." - Fernando "It give us an overview of the GCP and it's components theoretically and using the platform." - Martha "Very clear explanations and easy to follow along. This course is very well structured." -Tanoj "Great overview and good explanations." Christopher "The course was simple, easy to understand. The demo for every topic helped a lot. You are great teacher and it all came very handy. Thank you so much!" - Shefali "Trainer is patient and has a lot of knowledge about this course. Amazing job." - Ashley "Quite good to get very introduced to the Google cloud platform from the zero." - Anna"I enjoyed the course" - Curtis "Good intro. I like the pace of the course. The videos were short and too the point." - Demayne "Good and intuitive" - Tian "Speech of instructor is clear and understandable it is nice." -Sulyeman "I learned a lot in a very short time." - FernandoCOURSE OVERVIEW An Introduction to Google Cloud Platform for Data EngineersWelcome to An Introduction to Google Cloud Platform for Data Engineers. This is the first course in a series of courses designed to help you attain the coveted Google Certified Data Engineer.At this juncture the Google Certified Data Engineer is the only real world certification for data and machine learning engineers. The Harvard Review dubbed the data scientist the sexiest job of the 21st century. It might be the greatest job in the world if you have a dedicated team of data engineers at your beckon call otherwise you're first week of work is going to be a tough one. Most applied machine learning is supervised. That simply means you use a data set to build your machine learning or deep learning models with. In the real world data is messy, complicated and very difficult to work with. Another real world issues is working with data at scale. Very few companies have the compute or storage resources to work with large data sets. That's where the Google Cloud Platform comes in. The tools they've built for the cloud are the tools they are using internally. This is the first course in a series of course dedicated to learning the Google Cloud Platform and attaining the Google Certified Data Engineer. This course will lay the foundation for what you'll need in order to become a data engineer and pass the exam. In the course we will cover all the basics of the platform and be prepared to move into the more advanced data engineering specific courses. Please keep in mind this course alone will not give you the knowledge and skills to pass the exam. The course will lay the foundation for what you'll need to know before you begin a more intensive study of the services specific to data on the Google Cloud Platform. **Five Reasons to Take this Course**1) Google is the World Leader in Machine Learning Google knows data and they know big data. They work with some of the largest data sets in the world. They also have one of the largest data science teams on the planet. Companies that know data science know data engineering. Google has been on the forefront of data exploration for years. 2) Occam's Razor Approach to TeachingLess is almost always more. If you're serious about data engineering as a career you don't need or want your hand held for long periods of time. You want the core of any subject and then you want to get your hands dirty. My courses are relatively short and to the point. You don't have time for filler and I don't believe in adding it. 3) Real World Instructor Experience I've been working with data for over two decades. I've authored books, created applications being used in the real world and have over 30 course on Udemy specific to data. I've worked with over 50 different companies as an employee or consultant. Data has been my life for two decades and all of that has been in the real world. 4) The Only Data Engineering Certification on the MarketI have to be honest with you. I'm not a huge fan of most mastorial programs for machine learning or data related degrees. There is still quite a gap between what colleges teach and what companies expect. I believe certifications offer a better path into the real world of data and machine learning. A master's degree might get you the interview but hands on with the product and the certification will get you the job. 5) Limited Data Engineering CoursesAt the time I authored this course there are no other courses on the market that are dedicated to learning the skills you'll need for passing the Google certified data engineer exam. My courses aren't specific to learning how to pass the exam. I want you to be able to pass the exam but more importantly I want you to be able to apply what you've learned in my courses in order to work with various real world data sets.
