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About this Course
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WHAT YOU WILL LEARN
How to apply the data analysis process OSEMN to marketing data
How to apply the data analysis process OSEMN to marketing data
How to apply the data analysis process OSEMN to marketing data
WHAT YOU WILL LEARN
Marketing
Tableau Software
Python Programming
Marketing
Data Analysis
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Flexible deadlines
Reset deadlines in accordance to your schedule.
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Shareable Certificate
Earn a Certificate upon completion
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100% online
Start instantly and learn at your own schedule.
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Course 2 of 6 in the
Facebook Marketing Analytics
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Beginner Level
No experience is needed to start this course. Prerequisite: Marketing Analytics Foundation, the first course in this specialization.
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Approx. 30 hours to complete
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English
Subtitles: English
Offered by
Syllabus - What you will learn from this course
Week
1
3 hours to complete
Working with Data
This week you’ll get an overview of the Introduction to Data Analytics Course and then you’ll be introduced to setting Goals, Objectives and Key Performance Indicators for marketing campaigns. The 5 steps of a Data Science Project will be explained with the introduction of the OSEMN cycle framework. You’ll finish out the week seeing a real-life application of each step of the OSEMN cycle.
20 videos (Total 74 min), 4 readings, 3 quizzes
Week
2
3 hours to complete
Python for Data Analysis
This week you’ll get an overview of the Introduction to Data Analytics Course and then you’ll be introduced to setting Goals, Objectives and Key Performance Indicators for marketing campaigns. The 5 steps of a Data Science Project will be explained with the introduction of the OSEMN cycle framework. You’ll finish out the week seeing a real-life application of each step of the OSEMN cycle.
20 videos (Total 74 min), 4 readings, 3 quizzes
Week
3
3 hours to complete
Python for Data Analysis
This week you’ll get an overview of the Introduction to Data Analytics Course and then you’ll be introduced to setting Goals, Objectives and Key Performance Indicators for marketing campaigns. The 5 steps of a Data Science Project will be explained with the introduction of the OSEMN cycle framework. You’ll finish out the week seeing a real-life application of each step of the OSEMN cycle.
20 videos (Total 74 min), 4 readings, 3 quizzes
About the Facebook Marketing Analytics Professional Certificate
This six-course Professional Certificate program is designed for anyone looking to gain in-demand technical skills to kickstart a career as a marketing analyst or better analyze their business. No experience necessary.
Developed by marketing analytics experts at Aptly together with Facebook marketers, the industry-relevant curriculum is designed to prepare you for jobs that include Marketing Analyst, Marketing Researcher, and more. After an introduction to basic marketing principles, you’ll learn how data informs marketing decisions, and how you can apply the OSEMN data analysis framework to approach commonÂ
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You can share your Certificate in the Certifications section of your LinkedIn profile, on printed resumes, CVs, or other documents
Frequently Asked Questions
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
- The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
- The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
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