Address Business Issues with Data Science

This course is part of CertNexus Certified Data Science Practitioner Professional Certificate

Instructors: Sarah Haq

Access provided by Rothschild & Co. Wealth Management UK

5,424 already enrolled

3 modules

Gain insight into a topic and learn the fundamentals.

31 reviews

Intermediate level

Recommended experience

7 hours to complete

Flexible schedule

Learn at your own pace

3 modules

Gain insight into a topic and learn the fundamentals.

31 reviews

Intermediate level

Recommended experience

7 hours to complete

Flexible schedule

Learn at your own pace

Skills you'll gain

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

2 assignments¹

AI Graded see disclaimer

Taught in English

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Build your Data Analysis expertise

This course is part of the CertNexus Certified Data Science Practitioner Professional Certificate

When you enroll in this course, you'll also be enrolled in this Professional Certificate.

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.

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.