CertNexus

Finalize a Data Science Project

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

Taught in English

Some content may not be translated

Sarah Haq
Stacey McBrine
Megan Smith Branch

Instructors: Sarah Haq

Included with Coursera Plus

Course

Gain insight into a topic and learn the fundamentals

Intermediate level

Recommended experience

12 hours (approximately)
Flexible schedule
Learn at your own pace

What you'll learn

  • Communicate results of a model via web apps, and implement an d test pipelines that automate the model training, tuning and deployment process.

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

3 quizzes

Course

Gain insight into a topic and learn the fundamentals

Intermediate level

Recommended experience

12 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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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
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Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV

Share it on social media and in your performance review

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There are 4 modules in this course

In the previous courses in this specialization, you put your data through the extract, transform, and load (ETL) process, conducted an analysis of the data, and developed statistical models from the data that cover the three major disciplines of machine learning: classification, regression, and clustering. But you're not done yet. Now it's time to gather your results and present them to stakeholders. After all, you undertook the data science project to achieve business goals, so you need to demonstrate that you were actually successful in doing so. In this first module, you'll report your findings to the project's stakeholders.

What's included

6 videos3 readings1 quiz1 peer review1 discussion prompt

One way to create a robust and interesting presentation is to show off your results in a web app. In this module, you'll focus on some of the major technologies that go into creating a web app that you might want to use in a demonstration.

What's included

7 videos2 readings1 quiz1 discussion prompt

Much of what you've done throughout the data science project can be automated in some way. The goal is to spend less time performing some of the more repetitive tasks, and more time on tasks that require your own judgment. This is where pipeline automation comes into play.

What's included

6 videos2 readings1 quiz1 discussion prompt1 ungraded lab

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 review1 ungraded lab

Instructors

Sarah Haq
CertNexus
5 Courses7,132 learners

Offered by

CertNexus

Recommended if you're interested in Data Analysis

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