The Data Science Method
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Course
The Data Science Method
Acquire critical skills for tackling data science problems effectively. Learn how to problem solve with data to address real-world challenges and business scenarios.
Build your knowledge of a crucial aspect of data science and develop your skills in this exciting field.
Self-Paced
Mentored
Beginner
Duration
3-7 hours/week
The data a business holds is a valuable resource. By applying proven methodologies, organizations can glean critical insights that give them a competitive edge. To achieve this however, their data scientists need to have a good grasp of the right questions to ask, as well as the necessary knowledge to analyze the data. Developing a strong ability to manage, decipher and analyze new and big data is therefore vital to working in data science.
During this course, you will be introduced to the major steps involved in tackling a data science problem. You will explore the key stages in data science methodology and build an appreciation of how to apply these to developing the right analytic approach. You will learn how to solve data science problems and come to understand the purpose of data modeling. And you will become familiar with the characteristics of the modeling process, what happens after model deployment, and the importance of model feedback.
By building your knowledge of data science methods, you will develop the skills required to ensure that data used is both relevant and properly manipulated to address business and real-world challenges. Plus, you will be another step closer to gaining IBM Data Science Professional Certification.
This course comprises six purposely designed modules that take you on a carefully defined learning journey. 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 3-7 hours per week, you will complete the course in 7 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 be able to:
- Tackle a data science problem.
- Understand why data scientists need a methodology and an approach.
- Understand how to prepare and clean data.
- Form a concrete business question or research.
- Individuals seeking to understand the fundamentals of dealing with a data science problem.
- Individuals seeking to understand the process of resolving a data science query.
- Individuals seeking to understand models for solving a data science problem.
No experience required