Data Science Methodology
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Course
Data Science Methodology
Gain the critical skills you need to tackle problems effectively. Learn how to solve problems through analyzing data to address real-world business scenarios.
Develop your skills in this critical aspect of data science and take a great step forward in your data science career.
Self-Paced
Mentored
Beginner
Duration
2 hrs/week
The data a business holds is a valuable asset. Through careful data analysis conducted utilizing proven methodologies, organizations can gain important insights that give them a competitive edge. To achieve this, data scientists must have a firm understanding of what questions to ask in the first place, as well as the necessary knowledge of how to analyze the data. Developing strong competencies in these areas is critical, therefore, for a successful career in data science.
During this course, you will be introduced to the major steps required for tackling a data science problem. You will learn about the key stages in data science methodology. You will develop your understanding of which methodologies are used for different analytic approaches. You will discover how to solve data science problems and come to appreciate the value and purpose of data modeling. And you will explore the characteristics of the modeling process, what happens after model deployment, and the importance of model feedback.
Having a firm grasp of data science methodology is critical for a career in this field. In this course, you will develop the skills you need to ensure the data you are using is both relevant and properly manipulated in order to address business and real-world challenges.
This FutureSkills Prime/IBM course comprises five purposely designed modules that take you on a carefully defined learning journey.
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 2 hours per week, you will complete the course in 5 weeks. However, as long as the course is completed by the end of your enrollment, you can work at your own pace. And dont worry, youre not alone! You will be encouraged to stay connected with your learning community and mentors through the course discussion space.
The materials for each module are accessible from the start of the course and will remain available for the duration of your enrollment. Methods of learning and assessment will include videos, reading material, and online exam questions.
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 will vary across packages.
Once you have successfully completed the course, you will earn your Certificate of Completion. You will also receive an IBM Certificate.
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
This course is aligned with industry-approved occupational standards set by SSC NASSCOM. Once youve successfully completed this course, you will receive a Certificate of Completion that confirms you have:
- Job-ready competencies
- Practical experience
- Assessed technical knowledge
The national occupational standards to which this course is aligned relates to the following job roles:
- Business Intelligence Analyst
- Data Scientist