Address Business Issues with Data Science
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Address Business Issues with Data Science
This course is part of CertNexus Certified Data Science Practitioner Professional Certificate
Instructors: Sarah Haq
5,677 already enrolled
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See how employees at top companies are mastering in-demand skills
Build your Data Analysis expertise
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate from CertNexus
There are 3 modules in this course
This course is designed for business professionals that want to learn how to determine if a business issue is appropriate for a data science project and apply the data science process.
The typical student in this course will have experience in a business setting and a high-level understanding of fundamental data science concepts, including, but not limited to: types of data, data science roles, the overall data science lifecycle, and the benefits and challenges of data science.
Before you dive into the technical details of data science, you need to understand how data science fits within a larger business context. On the job, you'll be applying your skills to achieve one or more business goals, so it's important to keep those goals in mind all throughout the project. In this first module, you'll begin developing a data science project that can achieve these goals.
What's included
11 videos3 readings1 assignment1 peer review1 discussion prompt
11 videos•Total 52 minutes
- CDSP Specialization Introduction•4 minutes
- Course Intro: Address Business Issues with Data Science•3 minutes
- Data Science•3 minutes
- Design Thinking•3 minutes
- Project Scope•5 minutes
- Project Specification and Objectives•5 minutes
- Project Timeline and Deliverables•6 minutes
- Project Stakeholders•4 minutes
- Stakeholder Requirements, POC, and MVP•5 minutes
- Data Privacy and Security•8 minutes
- Data Access and Governance•6 minutes
3 readings•Total 12 minutes
- Overview•2 minutes
- Get help and meet other learners. Join your Community!•5 minutes
- Guidelines for Initiating a Data Science Project•5 minutes
1 assignment•Total 30 minutes
- Initiating a Data Science Project•30 minutes
1 peer review•Total 45 minutes
- Initiating a Data Science Project•45 minutes
1 discussion prompt•Total 5 minutes
- Reflect on What You've Learned•5 minutes
Now that you have a greater understanding of the project's goals and design principles, you can start thinking about how to approach the project using the power of data science. In this module, you'll contextualize your work as a potential solution to a data-driven problem.
What's included
8 videos2 readings1 assignment1 peer review1 discussion prompt
8 videos•Total 41 minutes
- The Data Science Process•4 minutes
- The Data Science Skillset•7 minutes
- Problem Formulation•7 minutes
- Common Data Science Issues•8 minutes
- Modeling Data•2 minutes
- Data Science Outcomes•4 minutes
- Learning Modes•5 minutes
- Randomness and Uncertainty•3 minutes
2 readings•Total 12 minutes
- Overview•2 minutes
- Guidelines for Formulating a Data Science Problem•10 minutes
1 assignment•Total 30 minutes
- Formulating a Data Science Problem•30 minutes
1 peer review•Total 45 minutes
- Formulating a Data Science Problem•45 minutes
1 discussion prompt•Total 5 minutes
- Reflect on What You've Learned•5 minutes
You'll work on a project in which you'll apply your knowledge of the material in this course to practical scenarios.
What's included
1 peer review
1 peer review•Total 120 minutes
- Data Science Project Outline•120 minutes
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