Certification

While a B.Com degree may not seem directly related to dietetics or nutrition,

Yes, all Kaggle courses are completely free. Kaggle does not charge for access to any of its courses, quizzes, or coding exercises. This makes Kaggle an excellent platform for learners who want to gain data Science and machine learning skills without any financial investment. The only requirement is that you create a Kaggle account to start accessing the courses.

While video lessons and quizzes are only accessible online, Kaggle allows learners to download the notebooks and use their favorite Jupyter IDE (e.g.: VS Code, Jupyter Lab, JetBrains Datalore, Google Colab, AWS Sagemaker). These downloadable resources are helpful for learners who want to continue practising even when not connected to the internet.

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.

Yes! Kaggle courses are designed to help learners prepare for competitions. The courses cover key topics for participating in Kaggle competitions, such as data preprocessing, feature engineering, and model evaluation. By applying the techniques learned in the courses, learners can develop the skills to build strong models and perform well in Kaggle challenges.

The prerequisites for Kaggle courses vary depending on the course level:

• Beginner Level: Most beginner-level courses do not require any prior experience.

• Advanced Level: For more specialised topics, like deep learning, you may need a basic understanding of Python programming and machine learning concepts.

Kaggle often provides a list of recommended prerequisites for each advanced course. Check the concerned course for more details.

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.

Yes, Kaggle provides certificates of completion for each course. After completing a course, learners can download and share the certificate, which can be added to resumes, LinkedIn profiles, and personal portfolios. These certificates can help demonstrate a learner's data Science or machine learning skills to potential employers or colleagues.

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.