An Introduction to Google Cloud Platform for Data Engineers

Description

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." -- Fernando

COURSE OVERVIEW 

An Introduction to Google Cloud Platform for Data Engineers

Welcome 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 Teaching

Less 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 Market

I 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 Courses

At 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. 

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