CertNexus

Analyze Data

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

4.7

(17 reviews)

Intermediate level

Recommended experience

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

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

4 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.7

(17 reviews)

Intermediate level

Recommended experience

20 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

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There are 5 modules in this course

In the previous course in this specialization, you conducted extract, transform, and load (ETL) to ensure your data was ready for the next phase of the data science process: analysis. In some cases, an analysis of the data may be the actual final goal of the project, or it may be an important intermediary step on the road to machine learning. In either case, analyzing your data using various techniques will help you obtain useful insights into that data and what it represents. It'll also give you a better understanding of how the data needs to undergo more processing to prepare it for machine learning. You'll begin your analysis efforts by exploring the nature of your dataset and the relationships it contains.

What's included

10 videos3 readings1 quiz1 discussion prompt1 ungraded lab

One of the key factors in data analysis is determining how values are spread out within each of the different features. This will give you a deeper understanding of how the data is represented and how it might need to change.

What's included

9 videos2 readings1 quiz1 discussion prompt1 ungraded lab

In this module, you'll look at your data from a visual perspective in order to reveal insights that raw numbers alone may not provide.

What's included

8 videos7 readings1 quiz1 peer review1 discussion prompt5 ungraded labs

Your analysis efforts will most likely prompt you to transform your data further, especially in preparation for machine learning. In this topic, you'll do just that.

What's included

9 videos11 readings1 quiz1 peer review1 discussion prompt6 ungraded labs

You'll work on a project in which you'll apply your knowledge of the material in this course to a practical scenario.

What's included

1 peer review1 ungraded lab

Instructors

Instructor ratings
4.8 (8 ratings)
Sarah Haq
CertNexus
5 Courses7,567 learners
Stacey McBrine
CertNexus
6 Courses10,757 learners

Offered by

CertNexus

Recommended if you're interested in Data Analysis

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Learner reviews

Showing 3 of 17

4.7

17 reviews

  • 5 stars

    70.58%

  • 4 stars

    29.41%

  • 3 stars

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TR
5

Reviewed on Apr 20, 2024

D
4

Reviewed on Apr 2, 2024

New to Data Analysis? Start here.

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