Data Science Tools

This course comprises four purposely designed modules that take you on a carefully defined learning path. If you are thinking about taking the course separately, it is worth noting that it is part of the IBM Data Science Professional Certificate Program and you may want to consider enrolling for the whole program rather than just enrolling for one course at a time.

It is a self-paced course, which means it is not run to a fixed schedule with regard to completing modules or submitting assignments. To give you an idea of how long the course takes to complete, it is anticipated that if you work 4-5 hours per week, you will complete the course in 4-5 weeks. However, as long as the course is completed before the end date, you can work at your own pace.

The materials for each module will become available when you start the particular module. Methods of learning and assessment will include videos, reading material, and online exams questions.

Once you have successfully completed the course, you will earn your IBM Certificate.

As part of our mentoring service you will have access to valuable guidance and support throughout the course. We provide a dedicated discussion space where you can ask questions, chat with your peers, and resolve issues. Depending on the payment plan you have chosen, you may also have access to live classes and webinars, which are an excellent opportunity to discuss problems with your mentor and ask questions. Mentoring services may vary package wise.

You will have:

• Introductory knowledge of the languages and tools used in data science.
• An understanding of common open source tools used to perform data science tasks.
• An introductory understanding of IBM tools for data science.

• Individuals looking to extend their introductory knowledge of data science.
• Individuals who would like to explore the tools and technologies used in data science.
• Individuals who would like to begin understanding how to use a particular data science approach in their work.

No prerequisites are required for taking this course.