hard

All the previous courses have been great and I was enjoying learning languages/code with ease, however this one was extremely hard for me to follow. The instructor is very knowledgeable however I had difficulty understanding him at certain points, frequently, and because of that would easily get lost. This really put a lot of doubt in my abilities. I ended up going to another site to practice python and it helped me (very quickly and much more thoroughly) understand the language in areas I was lacking with this course.

This course needed more than 4 modules and maybe should have been longer in order to focus more on each individual lesson. I didn't get nearly as much out of it as I did the other courses in this program.

This was the hardest course out of the 8 courses. This course needs to be simplified. It has far too much information in it for a beginner. Also when the instructor gives an example, it's only given once and we are supposed to understand it. An example should be shown atleast 2-3 times for the watchers to grasp an understanding of how to write in Python. Explaining something once, just won't do it. I absolutely hated this course. It was too difficult for me. I enjoyed the courses 1-5 and 6 and 7 was information overload for me. I would rather learn Python on Youtube than this course.

I'm having an impossible time finishing the last 5 tasks for 'Creating Another Algorithm' in python and have no idea what to do. We're covering things WAY past what we were taught and there's no support / help option. I've been scouring the internet for answers and dying here. I come to google programs (this is my 4th) exactly because we're typically not left hanging and drowning like this. None of the rest of the program was like this and hate it. I have no idea what I'm doing wrong, how to find out, how to fix it and how to finish... totally lost and miserable.

If I could give zero starts to the entire cybersecurity course, I would. I absolutely hate it. The course does not explain anything to make it understandable to "just anyone" as they claim in these stupid testimonial videos. This course expects me to look things up on Google? What the fuck am I paying $50/month for then if I can just learn it all from YouTube or Google (YouTube being way better at explaining content than any fucking thing on this course.) What a waste of time and money. Please do better. Much better.

This has to be one of the most difficult parts to learn for cyber security and not being able to understand the host makes it so much more difficult.

I didn't got my certificate after completing the course. It was showing as other course in accomplishments and the certificate was also not showing.

Too deep for who have no experience.

I didn't get my certificate

Extremely difficult.

Course Review: "Automate Cybersecurity Tasks with Python" As an eEgineering student with a burgeoning interest in cybersecurity, I recently completed the course “Automate Cybersecurity Tasks with Python,” and I’m excited to share a comprehensive review of my experience. This course has been instrumental in bridging the gap between my engineering background and the dynamic field of cybersecurity, equipping me with practical skills that are increasingly essential in today’s digital landscape. Course Overview: The course is designed to introduce and advance Python programming within the context of cybersecurity. It begins with foundational Python skills and progressively builds up to more complex tasks and concepts relevant to security automation. The curriculum is well-structured, offering a clear roadmap from basic concepts to advanced applications. Detailed Curriculum Breakdown: Introduction to Python for Cybersecurity: The course starts with a refresher on Python programming, focusing on syntax, data structures, and essential libraries. This section is ideal for those who need to strengthen their Python skills before diving into more specialized tasks. Key topics include working with files, handling exceptions, and utilizing libraries such as requests and BeautifulSoup for web scraping—skills crucial for gathering and processing data in cybersecurity. Automating Routine Security Tasks: Students learn to automate repetitive tasks such as scanning network ports, checking for common vulnerabilities, and managing logs. This section is particularly valuable for understanding how automation can enhance efficiency and accuracy in cybersecurity operations. Practical exercises involve writing scripts to automate tasks like network discovery and vulnerability scanning, which are directly applicable to real-world security assessments. Data Analysis and Threat Detection: The course delves into data analysis techniques, emphasizing how to process and interpret security-related data. Using Python libraries like pandas and numpy, students learn to analyze log files and detect anomalies. Hands-on projects include building a simple intrusion detection system that analyzes traffic patterns and flags suspicious activities, providing a practical application of data analysis in cybersecurity. Developing Security Tools: Students explore how to create custom security tools and scripts tailored to specific needs. This section includes developing tools for tasks such as password cracking, brute-force attacks, and security auditing. The projects in this module are designed to challenge students to apply their knowledge creatively, reinforcing their problem-solving skills and understanding of security concepts. Advanced Topics and Emerging Technologies: Although the course covers a broad range of topics, it does touch upon advanced areas such as threat intelligence and machine learning in security. These sections provide a glimpse into cutting-edge technologies and their applications in cybersecurity. Students are encouraged to explore these advanced topics further through recommended readings and supplementary materials. Instructor Expertise and Teaching Style: The course instructors are highly knowledgeable and bring a wealth of experience from the cybersecurity field. Their teaching style is engaging and clear, with a focus on practical application. They effectively break down complex concepts into digestible segments and provide real-world examples that enhance understanding. Practical Experience and Hands-On Labs: One of the most valuable aspects of the course is the emphasis on hands-on labs and practical exercises. These labs are designed to simulate real-world scenarios and provide students with the opportunity to apply their skills in a controlled environment. The labs are well-designed, with clear instructions and a focus on real-world applicability. Resources and Support: The course offers an array of resources, including comprehensive documentation, code samples, and access to a community forum where students can ask questions and collaborate. The support system is robust, with prompt responses from instructors and an active student community that fosters collaborative learning. Challenges and Suggestions for Improvement: While the course is highly beneficial, there are a few areas where it could be enhanced: Additional Python Fundamentals: For students with limited Python experience, a more detailed introduction or supplementary materials on Python basics would be helpful. Advanced Topics: Expanding on advanced topics, such as advanced threat detection methods or integration with other security tools, could provide a more comprehensive understanding of the field. Real-World Case Studies: Including more real-world case studies and industry-specific examples could further enhance the relevance and practical value of the course. Conclusion: Conclusion: In summary, “Automate Cybersecurity Tasks with Python” is an exceptional course for engineering students and professionals eager to delve into the field of cybersecurity. It provides a solid foundation in both Python programming and cybersecurity practices, with a strong focus on practical, real-world applications. The combination of theoretical knowledge, hands-on experience, and expert instruction makes this course a valuable addition to any cybersecurity learning journey. Whether you're looking to enhance your skill set for current job roles or explore new career opportunities in cybersecurity, this course is a worthwhile investment.

I recently completed the "Automate Cybersecurity Tasks with Python" course, and I am beyond impressed with the invaluable knowledge and skills I gained. The course content was meticulously structured, offering a comprehensive dive into Python programming tailored specifically for cybersecurity tasks. The instructors were not only experts in the field but also exceptional educators, making complex concepts easily understandable. Their real-world examples and hands-on exercises gave me the confidence to apply Python effectively in my cybersecurity projects. What truly sets this course apart is its practical approach. The modules seamlessly blend theoretical knowledge with real-life applications, focusing on tasks directly relevant to the cybersecurity landscape. From log analysis to automation of threat detection, every topic was covered in detail. The interactive nature of the course, coupled with challenging assignments, honed my problem-solving skills and equipped me to tackle cybersecurity challenges head-on. I highly recommend this course to anyone aspiring to excel in the field of cybersecurity. Whether you're a beginner or an experienced professional, the "Automate Cybersecurity Tasks with Python" course offers a rich learning experience that is both engaging and rewarding. The skills I acquired here have significantly elevated my abilities as a cybersecurity professional, and I am immensely grateful for this exceptional learning opportunity!

I thought the instructor in the videos was excellent, and the topics were explained clearly. The examples were relevant, and it was helpful in the labs to be taken through each step, without having to tackle too much all at once. This was definitely a helpful introduction to Python, though of course it only scratches the surface. The Coach AI tool was great at answering all kinds of questions (though unfortunately it is not available at all times). The discussion forums were not really a useful component of the course, especially for getting specific questions answered on during individual assignments, which there is no great way to do other than the Coach tool. There is a discussion forum question at the end of the course that asks students what advice they have for students starting out their study of Python--I wish students starting the course had a way to know to jump to the end and read those posts, as they contain some good tips!

Having embarked on numerous courses in diverse fields, I can confidently attest to the enriching experience and invaluable knowledge gained. From exploring topics ranging from data science to leadership, each learning opportunity has been a stepping stone towards personal and professional growth. The depth of content and engaging delivery surpassed expectations, earning each course a stellar rating. Similarly, the comprehensive understanding and practical exercises provided in various courses have contributed significantly to my skill set and knowledge base. Moreover, the flexibility and accessibility offered by online platforms have made learning a seamless and enjoyable endeavor. With each course, I have not only expanded my skill set but also cultivated a passion for lifelong learning. As I continue to explore new horizons, I look forward to embracing the challenges and discoveries that lie ahead.

As someone who learned the basics of Lua in an attempt to be a scripter for the game Roblox, I really enjoyed this course because it took everything I was confused about and put the puzzle pieces together. Lua and Python are very similar, imo, and I truly believe that my previous knowledge in Lua helped me throughout this course. If you don't have previous programming knowledge, don't let this review discourage you! They teach you everything you need to know from variables to regular expressions and assign you labs to complete to apply your learning. You'll leave this course with valuable knowledge not only on how to code with Python but also how to use Python to automate tasks in the cybersecurity field such as searching through files with an iterative statement to grant or deny access to certain IP addresses. 10/10, would do again!

Having just completed this security course, I must express my sincere appreciation for the exceptional quality of content and instruction provided. The course material was comprehensive, covering a wide range of topics in-depth and with clarity. The instructors demonstrated a profound understanding of the subject matter and engaged students effectively throughout the learning process. What truly set this course apart was its emphasis on practical application, with hands-on exercises and real-world case studies that enabled me to immediately apply what I learned. I feel significantly more confident in my ability to navigate complex security challenges after completing this course, and I wholeheartedly recommend it to anyone looking to enhance their knowledge and skills in the field of security.

Throughout my learning journey with Python, I found grasping the basic syntax and data types to be relatively straightforward. Python's clear and readable syntax made it easier to understand variables, basic data types like strings, integers, and lists, and simple operations on them. The interactive nature of Python, especially using environments like Jupyter Notebooks, facilitated immediate feedback and experimentation, which was immensely helpful. However, I encountered challenges when delving into more complex topics like file handling and creating algorithms that involved intricate logic. Debugging these more complex scripts required a deeper understanding of Python's nuances and best practices.

This is a thoroughly challenging course, and be prepared to spend quite some time learn a lot as you do the exercises. Despite the challenges, it builds a solid foundation for you to build upon, so even the most challenging exercises toward the end of the course actually don't seem as tough as originally thought. Python is an extremely popular programming language, and cybersecurity is just one of the many places you can use Python in. I strongly encourage you to keep on building your Python knowledge by undertaking on your own personal projects while learning from various resources online and from physical media. There's no shortage of Python because of its absolutely huge community.

This course was the most challenging and the most difficult for me, since I don’t have any coding experience. But this course definitely helped me a lot. I really enjoyed using the Python Lab exercises. Step by step this course helped me to gain experience on using Python. The instructor did an outstanding and amazing job on explaining the different lessons. 

I’ve learned a lot, in fact to gain more knowledge on Python, I took the Crash Course on Python, the first course under the Google IT Automation with Python Professional Certificate program which I’ve recently completed. 

The course is overall very good, offering valuable insights into using Python for security-related tasks. However, I believe that the final module could be improved by incorporating practical, real-world coding exercises. Instead of relying solely on an online notebook, it would be beneficial for students to write and execute Python scripts in a real environment, such as a Linux system. This hands-on approach would give learners a better understanding of how to run Python scripts in a live setting, helping them bridge the gap between the course and real-life applications.

The course made learning Python very easy. I enjoyed the course. And I was very impressed abou the hands-on experience where we had a platform to practise the Python programming. The quizzes were also timely and valuable in helping to evaluate our knowledge and skill. I like the fact that always the courses are straight forward, precise, avoiding unnecessary information. The course opens door for further pursuit of the Python programming language. And good for me, I had financial aid to study the course. I say a big thank you to Google and Coursera.

Excellent course that is well constructed. Google does a strong job of kindly introducing students, who may have never programmed before, the different aspects of Python programming in friendly and digestible ways.

The only comment for improvement I'd like to make is that I wish Google included links to free, powerful learning material, like "Automate the Boring Stuff with Python" or things like freeCodeCamp. By introducing quality, external content, students could be guided in how to continue their learning.

Awesome work, Google!

really well structured this course. I had already studied many of the contents covered in the first half of this course, but none of the resources I learned from, including recommended books and other online courses I took were as effective as this one in the course structure and order of delivering the concepts, the “to-the-point” approach, the explanations, and in such a short time. I think they did an awesome job in this one. The regex portion was great, and the overall hands-on aspect was great. Thanks a lot!

I was learning Python language on my own initially before this course. I quit along the way because things were so complicated, thinking that coding isn't meant for me. But when I met that same Python Language concept that made me quit learning it in this course, I realized that we an amazing teachers somewhere. I'm now equipped with the knowledge of Python that I run away from and I can confidently apply this Knowledge in my dream field of IT, Cybersecurity. THANK YOU SO MUCH, A'NGEL AND GOOGLE AS A WHOLE.