Prepare to delve into the world of data science with IBM's Python for Data Science course provided by Cognitive AI class. This comprehensive program is designed to equip you with essential Python programming skills tailored for data analysis tasks.

Course Structure and Requirements

The course is structured into modules, each comprising instructional content and hands-on labs to reinforce your learning. Throughout the course, you'll encounter multiple-choice questions after each module, testing your understanding of the material. It's crucial to answer these questions correctly as they contribute to your final certification.

Examination Details

At the culmination of the course, there's a one-hour multiple-choice exam to assess your comprehension of Python for data science concepts. To pass the exam and earn your certificate, you need to achieve a minimum of 50% marks. However, it's not just the final exam that matters; your overall performance, including the scores from module quizzes, must exceed 60%.

Topics Covered

The course covers a range of fundamental Python programming concepts essential for data analysis, including data manipulation, visualization, and basic data analysis techniques.

Next Steps

Stay tuned for the next blog post, where you'll find a YouTube video packed with insights into data analysis concepts. This resource will not only reinforce your Python programming skills but also enhance your understanding of data analysis principles.

Conclusion

Prepare to expand your skill set and embark on an exciting journey into the realm of data science with IBM's Python for Data Science course. Whether you're new to programming or looking to enhance your data analysis skills, this course is your gateway to success. Get ready to unlock new opportunities in the dynamic field of data science!

LINK

https://cognitiveclass.ai/courses/python-for-data-science

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