The Python Academy

My name is Shaik Reshma, and I recently enrolled in the Full stack web development with Edureka. I wanted to take a moment to share my experience regarding the support I received during this time.

I would especially like to highlight the exceptional assistance provided by Lokesh. I had reached out with a specific query related to the course, and Lokesh promptly connected with me over a phone call. He was incredibly helpful—providing clear, concise, and effective guidance that addressed all my concerns.

His professionalism, patience, and in-depth knowledge made the entire interaction smooth and reassuring. Thanks to his support, I was able to resolve my issue quickly and continue my learning without any hurdles.

I truly appreciate the dedication and support offered, and I believe such service significantly enhances the overall learning experience at Edureka.

I recently completed the Certified Scrum Master (CSM) course, and it was an excellent learning experience. The course was well-structured and covered all the key aspects of Scrum, Agile principles, and the role of a Scrum Master in depth. The trainer was highly knowledgeable, engaging, and had a great way of breaking down complex concepts into simple, practical insights. They provided real-world examples that helped me understand how Scrum is implemented in different industries and how to navigate challenges in Agile environments.One of the highlights of the course was its interactive nature. The trainer encouraged discussions, group activities, and hands-on exercises, which made the learning process more effective. Instead of just theoretical knowledge, we were given practical scenarios to analyze, which reinforced my understanding of Scrum ceremonies, roles, and artifacts.By the end of the course, I felt confident in applying Scrum methodologies in real-world projects. The training not only prepared me for the certification exam but also provided valuable insights that I can use in my professional career. I would highly recommend this course to anyone looking to enhance their Agile and Scrum knowledge. It’s a must for aspiring Scrum Masters and Agile practitioners!

I am Satya Prathyusha Duggirala, and I recently enrolled in the online batches from Edureka. I am writing to share my feedback on the support services provided. Firstly, I would like to express my heartfelt appreciation for the assistance I received from Lokesh. For a specific concern related to the course, we connected over the phone, and Lokesh provided clear and effective guidance to resolve all my queries. His approach was not only highly professional but also very empathetic, making me feel valued as a learner. Furthermore, he ensured that I fully understood each step of the process and even went the extra mile to provide additional tips to enhance my learning experience. Such exceptional service reflects a strong commitment to learner satisfaction and builds trust in the support system at Edureka. 

The "Data Scientist in Python v2.5" course on Dataquest is an extensive and well-structured program designed for aspiring data scientists who are looking to enhance their skills using Python. Dataquest, known for its interactive and hands-on approach to learning, delivers a comprehensive curriculum that is both engaging and practical, especially with the v2.5 updates.Content & Structure:The course is divided into multiple paths, starting from foundational Python programming and gradually progressing to more advanced topics like machine learning, data visualization, and big data. The content is organized into bite-sized lessons, which makes it easier to absorb complex concepts without feeling overwhelmed.The v2.5 update has introduced several improvements, including updated datasets, new projects, and enhanced explanations that reflect current industry practices. This version also places a stronger emphasis on real-world applications, which is crucial for learners aiming to apply their skills in professional settings.Interactive Learning:One of the standout features of Dataquest is its interactive learning environment. Instead of passively watching videos, learners actively write and execute code in their browser. This approach significantly reinforces learning by allowing users to immediately apply what they've learned in real-time. The instant feedback provided by the platform helps in quickly identifying and correcting mistakes, fostering a deeper understanding of the material.The guided projects included in the course are another excellent feature. These projects challenge learners to apply their skills to real-world scenarios, which is invaluable for building a portfolio. The projects are varied and cover a range of topics, from analyzing NBA player statistics to building machine learning models, providing a well-rounded experience.Depth & Breadth:The course covers a wide array of topics necessary for a career in data science. Starting from basic Python syntax and data structures, it moves on to more advanced topics such as pandas for data manipulation, scikit-learn for machine learning, and SQL for database management. Each topic is covered in sufficient depth, ensuring that learners gain a solid understanding before moving on to more complex subjects.Moreover, the v2.5 update has included more advanced machine learning topics like deep learning, which adds significant value for those interested in this rapidly growing field.Support & Community:Dataquest also offers strong support through its community forums and dedicated support team. Learners can discuss challenges, share insights, and get help from both peers and experts. This collaborative environment enhances the learning experience and helps in overcoming any hurdles that might arise during the course.Pros:

• Interactive Learning: Hands-on coding exercises reinforce learning effectively.
• Comprehensive Curriculum: Covers a wide range of data science topics, from basic to advanced.
• Real-World Projects: Provides practical experience that is crucial for building a portfolio.
• Instant Feedback: Helps learners quickly correct mistakes and deepen their understanding.
• Updated Content: The v2.5 version includes current industry practices and cutting-edge topics like deep learning.

Cons:

• Time-Consuming: The in-depth nature of the course requires a significant time commitment.
• No Video Content: Some learners might prefer video lectures, which are not a part of Dataquest's teaching method.
• Limited Theory: The focus is heavily on practical application, so those seeking deep theoretical knowledge might need additional resources.

Conclusion:The "Data Scientist in Python v2.5" course on Dataquest is a top-notch program for anyone serious about pursuing a career in data science. Its interactive approach, comprehensive content, and real-world projects make it an excellent choice for learners who prefer hands-on experience. While it demands a significant time investment, the skills and knowledge gained from this course are well worth the effort, making it a solid choice for aspiring data scientists.

Instructor, Ryan L, is an excellent instructor. Always available and knows content extremely well. 
Course is taught at and moves at an intermediate- advanced level.  I was a newbie and was completely lost week 1. I was able to catch up by about week 3, with alot of work.
Requires 2 - 4 hrs of study/ night, so be sure you have the time available and can make the commitment. Definitely not a skating course, unless you have several years of programming experience.  If you have the time and commitment- good course and will learn a lot!