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H
Hemkumar Vipulbhai Bhavsar
Python - Batch of 2024
4.0
Learning Experience: course content is good, platform is very user friendly and there is five questions after every module so the challenges of the course are very helpful for concepts.
Faculty: This course is self-learning based there is no faculties. The course curriculum is very simple understandable for beginners.
Reviewed on 4 Mar 2023Read More
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R
Ramanan
Python - Batch of 2024
4.0
Learning Experience: It was a very good platform to learn python as well as other programming languages. We can use hint if we want and we can also view solutions for the problems if we have vo idea
Faculty: It's a self interest platform and if you are loyal, you can gain knowledge The questions are really thinkable and creative. I like the way the questions are explained. That looks professional
Reviewed on 3 Mar 2023Read More
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siddheshwar paikroy
Data Cleaning - Batch of 2024
5.0
Learning Experience: It has quality content that is enough to start working on projects.
Faculty: It is self learning course, you have to read the content provided and do some exercises correctly to proceed to other modules. it contains well designed modules which have cintent that focuses on the job to be done but most efficiently.
Course Support: It is one of the pre requisites required for the job profile
Reviewed on 25 Feb 2023Read More
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Commonly asked questions
On All Courses
Q:   How do I enroll in Kaggle courses?
A: 

Enrolling in Kaggle courses is simple. Follow below steps -

  • Create a free account on Kaggle.

  • Navigate to the "Learn" section once logged in.

  • Browse through the available courses and pick the one that interests you.

  • Enrollment is instant, and you can start accessing the course content immediately.

Q:   How long does it take to complete a Kaggle course?
A: 

Most Kaggle courses are short and designed to be completed in a few hours, especially those on fundamentals. However, learners can take as much time as they need to grasp the material, as the courses are self-paced fully. Some advanced topics, like deep learning, may take longer to complete, especially if you spend additional time practising and implementing the techniques on real-world datasets.

Q:   Where can I check my Kaggle certificates from?
A: 

After you complete a course, navigate to the Kaggle Learn Courses homepage. You should see two tabs: Active and Completed. Click on Completed. Every course you have completed should now appear in the course listing, along with a View Certificate button that navigates to your certificate.

Q:   What is the format of Kaggle courses?
A: 

Kaggle courses are designed to be engaging and practical. They include:

  • Video Lessons: Pre-recorded videos explaining the key concepts in an easy-to-understand manner.

  • Quizzes: Quizzes will test your understanding and reinforce learning.

  • Coding Exercises: These exercises allow you to practice what you've learned by writing code in an interactive environment directly within the course platform.

  • Projects: Practical, hands-on projects where you can apply concepts to solve real-world problems.

  • Notebooks: Kaggle courses often provide interactive Jupyter Notebooks, which learners can use to run and modify code.

Kaggle
Students Ratings & Reviews

4.6/5
Verified Icon80 Ratings
B
Bhushan Karma
Python
5.0
Learning Experience: The course is quite structured and easy to grasp.one can easily understand the concepts through various practice labs and practice sets. There are realword projects too.
Faculty: The faculty is quiet good and they have met good and structured material .learning through peer graded assignment is quite fun and a good learning experience Each concept comes with their own assesments and assignments. IBM platform is really good for programming and data science
Course Support: The course had impact from basic to advance level which makes it a complete guide to learn data science
Reviewed on 19 Feb 2023Read More
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S
siddheshwar paikroy
Python
5.0
Learning Experience: The topics covered are enough and to the point for data analytics.
Faculty: so it is basically DIY course it's basically python coding and how to optimise the code
Course Support: learnt about new libraries and some new concepts
Reviewed on 11 Feb 2023Read More
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S
Saraswati Tiwari
Intro to Machine Learning
5.0
Learning Experience: This course is from Kaggle which is a large community. There is a tutorial plus excercise to do where we build our first machine learning model. In this course we learn about Model Validation, Undercutting and Overfitting & Random Forests. And in last there is a machine learning competition.
Faculty: Faculty is very cooperative... After completing the course we will gain a certificate of this course by the instructor. Here we gain a practical knowledge. This course is free of cost. In this course we learn about to build ML models.
Course Support: Very supportive
Reviewed on 28 Jan 2023Read More
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M
Mohd Yousuf Khan
Python
4.0
Learning Experience: Overall the content was good if candidate is having basic knowledge of python and is having practical test also to understand the things in better way
Faculty: Study material is there to understand the things and then we can try the knowledge in practical examples Questions are there with practicals to understand the things in better way. We can have look at curriculum also
Course Support: Better understanding of python programming
Reviewed on 15 Jan 2023Read More
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K
Karthik KY
Python
4.0
Learning Experience: It covers all the basics of python required for a beginner and easy to understand with some practical tests . The course takes around 5hrs to complete and you get a free certificate
Faculty: It is not a video course, you have read through and solve the problems on your own Course resource are updated and detailed, good starting point for beginners
Reviewed on 27 Dec 2022Read More
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