- Google via Coursera
- Learn for FREE, Up-gradable
- 8 months of effort required
- 383,800+ already enrolled!
- ★★★★★ (24,243 ratings)
This professional certificate aims to help you learn in-demand skills like Python, Git, and IT automation that will help you advance your career. With the help of this certification, you will learn to automate tasks by writing Python scripts. Then you will learn to use Git and Github for version control. Similarly, you will learn to manage IT resources at scale for physical and as well as virtual machines in the cloud. In addition, this specialization will also help you analyze real-world IT problems and then implement the appropriate strategies for solving all such problems and much more in detail. Follow more for courses google digital garage at takethiscourse Platform.
TTC Course Analysis:
Following are the results of comprehensive analysis of “Google IT Automation with Python” online professional certificate by our team of experts.
TTC Rating 11,403 Reviews |
4.5 |
TakeThisCourse Sentiment Analysis Results:
In order to facilitate our learners with real user experience, we performed sentiment analysis and text mining techniques that generates following results:
- TTC analyzed a total of 11,403 reviews for this online professional certificate.
- The analysis indicates that around 90% reviews were positive while around 10% of reviews had negative sentiment.
- Google online professional certificate received a total score of 4.5 out of 5 collectively across all courses, based on user opinions related to 4 effectiveness factors including content, engagement, quality practice and career benefit.
Professional Certificate Effectiveness Score | |||
Content | Engagement | Practice | Career Benefit |
Excellent ★★★★★ |
Excellent ★★★★★ |
Good ★★★★☆ |
Good ★★★★☆ |
Google IT Automation with Python Professional Certificate Courses
There are six courses in this specialization and each course has something unique and valuable to offer.
Course 1: Crash course on Python (★★★★★ 4.8 | 23,624 ratings | 7,558 reviews)
This crash course on Python will explain the benefits of programming in IT roles. Here you will be taught how to write simple programs through Python and figure out how the building blocks of programming fit in together.
Course 2: Using python to interact with the operating system (★★★★★ 4.7 | 4,497 ratings | 1,180 reviews)
This is the second course in the specialization that teaches you to manipulate files and processes on your computer’s operating system. With that, you will be taught all about regular expressions which is a very powerful tool for processing text files.
Course 3: Introduction to Git and GitHub (★★★★★ 4.8 | 5,693 ratings | 1,443 reviews)
In this course, you will be taught how to keep track of the different versions of your code and configuration files as well. This will be taught by using a popular version control system (VCS) which is known as Git.
Course 4: Troubleshooting and debugging techniques (★★★★★ 4.6 | 2,273 ratings | 471 reviews)
This troubleshooting and debugging techniques course allow you to understand the tools required for solving real-world problems that you may come across in your IT role. Here you will be taught a bunch of strategies and approaches for tackling the most common pitfalls of coding and IT infrastructure.
Course 5: Configuration management and the cloud (★★★★★ 4.8 | 1,968 ratings | 362 reviews)
The fifth course in the specialization will teach you how to apply automation for managing fleets of computers. You will also be taught how to automate the process of deploying new computers and how you can keep those machines updated.
Course 6: Automating real-world tasks with python (★★★★★ 4.8 | 1,792 ratings | 389 reviews)
The final course in the specialization is all about tying together the concepts that have been taught in the previous five courses. Using that knowledge, you will tackle real-world scenarios in Qwiklabs.
Reviews:
This section has feedback from different learners that may have either taken the entire specialization or some courses from it. By taking a look at what they think about this specialization, it can become easy to decide whether this specialization is suitable for you or not.
Positive Feedback:
- I took the first course from the specialization and it turned out to be a great crash course. I am not a Python novice and that is why I had doubts about taking this course. But now that I have completed this course, I can say that it has taught me a lot of new things about python. Also, this is only a crash course so don’t expect to become an expert after this one course. (Anne L, ★★★★★)
- The first course was splendid and very informative but at the same time challenging as well. But overall this is one of the best python courses out there and it helped me understand a lot of concepts relevant to Python. I believe this is the type of course that is suitable for all the learners interested in Python. (Shathish M, ★★★★★)
- The “Using python to interact with the operating system” course was quite informative and I especially enjoyed the final assignment. This course is a good practice for the real world where everything is not as easy as other people think. (Edward W, ★★★★★)
- The third course in the specialization was fun to learn from. The best topic for me was the version control system, Git, and GitHub. I can say after taking this course, I have become even more confident in my computer skills. (Ash G, ★★★★★)
- The fourth course in the specialization has taught me all about multiprocessing, memory management, and multithreading in detail. With that, the binary search and debugging techniques were also very interesting to understand. And so far, the “Rubber Duck Debugging” is my favorite. (KS, ★★★★★)
- I really enjoyed learning from the “Troubleshooting and debugging techniques” course as the labs were quite practical and whatever is taught in this course can be applied to anything in real life that needs a logical perspective in problem-solving. (Richard P, ★★★★★)
- I took the “Configuration management and the cloud” course and it taught me many new concepts. This course had advanced topics in it which I was looking forward to learn from. I am grateful to Coursera and the instructors for this course. (Harim M, ★★★★★)
- I believe the fifth course is the one to have to most interesting scenarios and essential information. I am now ready to use these techniques in my daily IT working life. Big thanks to Coursera and Google for making this free course. The way all the complicated definitions and aspects for debugging problems in the cloud were explained is appreciable. (Jasper L, ★★★★★)
- The final project was indeed an amazing experience as it had many topics covered like troubleshooting, OS basics, time management, project version control, automation, and many more. (Mina K, ★★★★★)
- Thanks to this amazing platform that gave me the opportunity to complete this specialization and add this to my LinkedIn profile that helped me stand out from my peers (Ellen R, ★★★★★).
- The specialization taught me a lot of new ideas and apply them to real-world. Thanks to Coursera I was able to learn at my own ease and pace (Praveen KS, ★★★★★).
- I took the first course from the specialization and can say that it was the best python course of the era. No other python course could be as interesting and precise as this one. The instructor Christine was very professional and the way she interacted with all of us brought the best out of us (Saurav J, ★★★★★).
- This is definitely the type of specialization one should enroll in. I took the second course from the specialization and even though it was a little tough yet it has so much knowledge to offer. Completing this course would teach you to code easily (Yuri EAF, ★★★★★).
- The third course in the specialization was quite helpful as it taught me a lot of important stuff that will be mostly use in the field of IT. Thanks to Google, Coursera, and the instructors for this specialization (Gabriel SD, ★★★★★).
- Taking the fourth course was absolutely the best decision I had made for myself. The instructor Amanda did an amazing job in explaining different and complex concepts. The practical techniques which she shared were also very helpful. I would definitely apply whatever I have learned in this course to real world situations (Jianxu S, ★★★★★).
- The specialization is great and gave me a lot of ideas on how to use infrastructure as code and also how to monitor and automate configuration of systems (Luis, ★★★★★).
- I have enrolled in the second, third, and sixth course and would say that it was an extraordinary one, the best of the entire specialization (Jordy F, ★★★★★).
Negative Feedback:
- The specialization was good and informational overall but the labs in course 2 were sometimes a little frustrating why because there was no feedback on how you are performing and whether you are doing it right or wrong. (Trupal P, ★★☆☆☆)
- I took the fourth course and found out that the lecture videos were too long and had unnecessary details in them. Even the exercises were not that informational or useful. (Jekka Pekka, ★★☆☆☆)
- The fifth course was only theoretical and nothing practical. (Jose A, ★★☆☆☆)
Related Courses:
Python for Everybody Specialization
-
-
- University of Michigan via Coursera
- Learn for FREE, Up-gradable
- 8 months of effort required
- 1,257,441+ already enrolled!
- ★★★★★ (188,382 ratings)
-
Data Science Fundamentals with Python and SQL Specialization
-
-
- IBM via Coursera
- Learn for FREE, Up-gradable
- 6 months of effort required
- 18,383 already enrolled!
-
Introduction to Data Science in Python
-
-
- Hillary Green-Lerman via datacamp
- 04 hours of effort required
- 301,977 already enrolled!
-
Your Feedback:
Thanks for posting
I am a newbie to this issue I hope all of the Members digital systems I need to help and advice on me thanks