Meta

Introduction to Data Analytics

This course is part of Meta Marketing Analytics Professional Certificate

Taught in English

Some content may not be translated

Anke Audenaert

Instructor: Anke Audenaert

28,003 already enrolled

Included with Coursera Plus

Course

Gain insight into a topic and learn the fundamentals

4.8

(46 reviews)

|

92%

Beginner level

Recommended experience

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

What you'll learn

  • How to apply the data analysis process OSEMN to marketing data

Details to know

Shareable certificate

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Assessments

15 assignments

Course

Gain insight into a topic and learn the fundamentals

4.8

(46 reviews)

|

92%

Beginner level

Recommended experience

14 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 Marketing expertise

This course is part of the Meta Marketing Analytics 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 Meta
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There are 4 modules in this course

This week, you will learn what data analytics are and what a data analyst does. You’ll be introduced to the OSEMN framework as well as important business metrics, KPIs and their value to a business.

What's included

13 videos4 readings3 assignments1 discussion prompt

In the second week you will learn how to discover different sources of data and how to evaluate their validity. You will also explore different data formats. You’ll begin to apply the OSEMN framework by learning the steps in the data cleaning process as well as how to handle missing or incorrect data in your datasets.

What's included

16 videos3 readings4 assignments1 discussion prompt

This week moves onto the Exploring and Modeling phases of OSEMN. You will learn how to inspect and summarize your data as well as evaluate data relationships. You will discover the purpose of data modeling and common types of data models and data visualizations.

What's included

15 videos2 readings4 assignments

This week you will learn how to interpret the data you have working with and relate the results of your analysis back to a specific business goal. You will also learn how to create a story for a presentation of your data in order to explain and engage an audience.

What's included

15 videos1 reading4 assignments1 peer review

Instructor

Instructor ratings
4.9 (18 ratings)
Anke Audenaert
Meta
30 Courses576,270 learners

Offered by

Meta

Recommended if you're interested in Marketing

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4.8

46 reviews

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LM
5

Reviewed on Feb 29, 2024

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5

Reviewed on Jan 5, 2024

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4

Reviewed on Jan 16, 2024

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