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Mohanad Ayman Affify
By the end of this project, you will be able to apply statistics to perform an A/B Test for an ad campaign using python. A/B Testing is widely used by digital marketing agencies as it is the most effective mean to determine the best content to convert visits into sign-ups and purchases. Throughout the project, you will be able to set up hypothesis testing to advise a digital marketing agency that designed a new ad for their client on whether they should go for the new ad or not.
Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other...
Read more
By the end of this project, you will be able to apply statistics to perform an A/B Test for an ad campaign using python. A/B Testing is widely used by digital marketing agencies as it is the most effective mean to determine the best content to convert visits into sign-ups and purchases. Throughout the project, you will be able to set up hypothesis testing to advise a digital marketing agency that designed a new ad for their client on whether they should go for the new ad or not.
Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other...
Read more
By the end of this project, you will be able to apply statistics to perform an A/B Test for an ad campaign using python. A/B Testing is widely used by digital marketing agencies as it is the most effective mean to determine the best content to convert visits into sign-ups and purchases. Throughout the project, you will be able to set up hypothesis testing to advise a digital marketing agency that designed a new ad for their client on whether they should go for the new ad or not.
Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Register for this course and see more details by visiting:
OpenCourser.com/course/estsdo/perform
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Well-suited for students seeking to apply statistics for A/B testing in digital marketing
Course provides practical knowledge and skills for optimizing ad campaigns
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Reviews summary
Course difficulty disappointment
This course on A/B testing for ad campaigns has received mixed reviews. While some students have found it well-explained and enjoyable, others have criticized it for being too simplistic, lacking depth, and having questionable content. One of the major criticisms is the lack of self-work and guided nature of the course, with students feeling like they are not challenged enough. Another concern is the instructor's communication skills, with some students finding it difficult to understand the explanations provided. Overall, the sentiment towards this course is negative, with the majority of reviews expressing dissatisfaction.
Course content questionable
"Content is questionable and superior content can easily be obtained for comparable or no cost."
Instructor difficult to understand
"The instructor wasn't even able to speak properly. I felt like he is just teaching himself in the whole course."
Difficulty of course is simple
"The material explained in the course is very simple and with no mathimatical background at all."
Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in perform an A/B Test for an ad campaign using python with these
activities:
Review statistics concepts
Show steps
Review statistical concepts to enhance understanding of A/B testing
Browse courses on
Statistics
Show steps
-
Revisit fundamental concepts of probability and statistics.
-
Review hypothesis testing principles and applications.
Review Statistical Concepts
Show steps
Sharpen your statistical knowledge to enhance your understanding of A/B testing methodology and data interpretation.
Browse courses on
Statistics
Show steps
-
Review key statistical concepts such as hypothesis testing, significance levels, and confidence intervals.
-
Solve practice problems to reinforce your understanding.
Review Python Crash Course
Show steps
Build a solid foundation in Python to enhance your understanding of A/B testing concepts and implementation.
View
Python Crash Course, 3rd Edition: A Hands-On,...
on Amazon
Show steps
-
Read through chapters 1-4 to grasp Python fundamentals.
-
Complete the practice exercises at the end of each chapter to reinforce your learning.
Eight other activities
Expand to see all activities and additional details
Show all 11 activities
Attend an A/B testing workshop
Show steps
Gain practical insights and hands-on experience through a workshop
Browse courses on
A/B Testing
Show steps
-
Identify relevant A/B testing workshops or conferences.
-
Register and attend the workshop.
Participate in Study Group Discussions
Show steps
Engage with fellow students in regular discussion sessions to exchange knowledge, clarify concepts, and enhance your understanding of A/B testing.
Show steps
Design an A/B Experiment
Show steps
Apply your understanding of A/B testing by creating a comprehensive plan for an experiment to optimize a marketing campaign.
Browse courses on
A/B Testing
Show steps
-
Identify the target audience and campaign goals.
-
Define the hypothesis and metrics to measure success.
-
Create variations of the ad creative or landing page.
-
Set up the experiment using an A/B testing tool.
Practice A/B testing with real-world examples
Show steps
Practice A/B testing to reinforce concepts and techniques covered in the course.
Browse courses on
A/B Testing
Show steps
-
Find an online ad campaign and analyze its effectiveness.
-
Design an A/B test to improve the ad's performance.
-
Run the A/B test and collect data.
-
Analyze the results and make recommendations.
Solve A/B Testing Practice Problems
Show steps
Strengthen your analytical skills by solving practice problems related to A/B testing, improving your ability to interpret and make informed decisions.
Browse courses on
A/B Testing
Show steps
-
Work through practice problems from online resources or textbooks.
-
Discuss your solutions with peers or a mentor to gain different perspectives.
Develop an A/B testing strategy for a specific campaign
Show steps
Apply A/B testing principles to a real-life marketing scenario.
Browse courses on
A/B Testing
Show steps
-
Define the campaign goals and target audience.
-
Identify key metrics for measurement.
-
Design multiple variations of the campaign.
-
Develop an A/B testing plan and timeline.
Explore A/B Testing Case Studies
Show steps
Gain practical insights by analyzing real-world A/B testing case studies, learning from successful strategies and avoiding common pitfalls.
Browse courses on
A/B Testing
Show steps
-
Review case studies from industry leaders or reputable sources.
-
Identify the key takeaways and best practices applicable to your own projects.
Explore advanced A/B testing techniques
Show steps
Expand knowledge by exploring advanced A/B testing techniques
Browse courses on
A/B Testing
Show steps
-
Research and understand multivariate testing.
-
Learn about Bayesian optimization in A/B testing.
Review statistics concepts
Show steps
Review statistical concepts to enhance understanding of A/B testing
Browse courses on
Statistics
Show steps
Show steps
Show steps
- Revisit fundamental concepts of probability and statistics.
- Review hypothesis testing principles and applications.
Review Statistical Concepts
Show steps
Sharpen your statistical knowledge to enhance your understanding of A/B testing methodology and data interpretation.
Browse courses on
Statistics
Show steps
Show steps
Show steps
- Review key statistical concepts such as hypothesis testing, significance levels, and confidence intervals.
- Solve practice problems to reinforce your understanding.
Review Python Crash Course
Show steps
Build a solid foundation in Python to enhance your understanding of A/B testing concepts and implementation.
View
Python Crash Course, 3rd Edition: A Hands-On,...
on Amazon
Show steps
Show steps
Show steps
- Read through chapters 1-4 to grasp Python fundamentals.
- Complete the practice exercises at the end of each chapter to reinforce your learning.
Eight other activities
Expand to see all activities and additional details
Show all 11 activities
Attend an A/B testing workshop
Show steps
Gain practical insights and hands-on experience through a workshop
Browse courses on
A/B Testing
Show steps
Show steps
Show steps
- Identify relevant A/B testing workshops or conferences.
- Register and attend the workshop.
Participate in Study Group Discussions
Show steps
Engage with fellow students in regular discussion sessions to exchange knowledge, clarify concepts, and enhance your understanding of A/B testing.
Show steps
Show steps
Show steps
Design an A/B Experiment
Show steps
Apply your understanding of A/B testing by creating a comprehensive plan for an experiment to optimize a marketing campaign.
Browse courses on
A/B Testing
Show steps
Show steps
Show steps
- Identify the target audience and campaign goals.
- Define the hypothesis and metrics to measure success.
- Create variations of the ad creative or landing page.
- Set up the experiment using an A/B testing tool.
Practice A/B testing with real-world examples
Show steps
Practice A/B testing to reinforce concepts and techniques covered in the course.
Browse courses on
A/B Testing
Show steps
Show steps
Show steps
- Find an online ad campaign and analyze its effectiveness.
- Design an A/B test to improve the ad's performance.
- Run the A/B test and collect data.
- Analyze the results and make recommendations.
Solve A/B Testing Practice Problems
Show steps
Strengthen your analytical skills by solving practice problems related to A/B testing, improving your ability to interpret and make informed decisions.
Browse courses on
A/B Testing
Show steps
Show steps
Show steps
- Work through practice problems from online resources or textbooks.
- Discuss your solutions with peers or a mentor to gain different perspectives.
Develop an A/B testing strategy for a specific campaign
Show steps
Apply A/B testing principles to a real-life marketing scenario.
Browse courses on
A/B Testing
Show steps
Show steps
Show steps
- Define the campaign goals and target audience.
- Identify key metrics for measurement.
- Design multiple variations of the campaign.
- Develop an A/B testing plan and timeline.
Explore A/B Testing Case Studies
Show steps
Gain practical insights by analyzing real-world A/B testing case studies, learning from successful strategies and avoiding common pitfalls.
Browse courses on
A/B Testing
Show steps
Show steps
Show steps
- Review case studies from industry leaders or reputable sources.
- Identify the key takeaways and best practices applicable to your own projects.
Explore advanced A/B testing techniques
Show steps
Expand knowledge by exploring advanced A/B testing techniques
Browse courses on
A/B Testing
Show steps
Show steps
Show steps
- Research and understand multivariate testing.
- Learn about Bayesian optimization in A/B testing.
Career center
Learners who complete perform an A/B Test for an ad campaign using python will develop knowledge and skills
that may be useful to these careers:
Market Research Analyst
Market Research Analyst
Market research analysts design, conduct, and analyze market research to help companies make better decisions about their marketing and product strategies. This course can help you gain the skills you need to perform A/B testing, which is a valuable tool for market research. By learning how to design and conduct A/B tests, you will be able to measure the effectiveness of different marketing campaigns and make recommendations to improve results.
Data Analyst
Data Analyst
Data analysts use data to solve business problems. They gather, clean, and analyze data to identify trends and patterns. This course can help you gain the skills you need to perform A/B testing, which is a valuable tool for data analysis. By learning how to design and conduct A/B tests, you will be able to measure the effectiveness of different marketing campaigns and make recommendations to improve results.
Digital Marketing Manager
Digital Marketing Manager
Digital marketing managers plan and execute digital marketing campaigns. They use a variety of channels to reach their target audience, including search engine optimization (SEO), social media, and email marketing. This course can help you gain the skills you need to perform A/B testing, which is a valuable tool for digital marketing. By learning how to design and conduct A/B tests, you will be able to measure the effectiveness of different marketing campaigns and make recommendations to improve results.
Product Manager
Product Manager
Product managers are responsible for the development and launch of new products. They work with engineers, designers, and marketers to bring products to market. This course can help you gain the skills you need to perform A/B testing, which is a valuable tool for product development. By learning how to design and conduct A/B tests, you will be able to measure the effectiveness of different product features and make recommendations to improve results.
UX Designer
UX Designer
UX designers create user interfaces for websites and apps. They focus on making sure that users have a positive experience when interacting with a product. This course can help you gain the skills you need to perform A/B testing, which is a valuable tool for UX design. By learning how to design and conduct A/B tests, you will be able to measure the effectiveness of different design elements and make recommendations to improve results.
Software Engineer
Software Engineer
Software engineers design, develop, and test software applications. They work with a variety of programming languages and technologies. This course can help you gain the skills you need to perform A/B testing, which is a valuable tool for software development. By learning how to design and conduct A/B tests, you will be able to measure the effectiveness of different software features and make recommendations to improve results.
Quantitative Analyst
Quantitative Analyst
Quantitative analysts use mathematical and statistical models to solve business problems. They work with a variety of data sources to identify trends and patterns. This course can help you gain the skills you need to perform A/B testing, which is a valuable tool for quantitative analysis. By learning how to design and conduct A/B tests, you will be able to measure the effectiveness of different marketing campaigns and make recommendations to improve results.
Operations Research Analyst
Operations Research Analyst
Operations research analysts use mathematical and statistical models to improve the efficiency of business operations. They work with a variety of data sources to identify inefficiencies and make recommendations for improvement. This course can help you gain the skills you need to perform A/B testing, which is a valuable tool for operations research. By learning how to design and conduct A/B tests, you will be able to measure the effectiveness of different changes to business operations and make recommendations to improve results.
Business Analyst
Business Analyst
Business analysts gather and analyze data to help businesses make better decisions. They work with a variety of stakeholders to identify problems and develop solutions. This course can help you gain the skills you need to perform A/B testing, which is a valuable tool for business analysis. By learning how to design and conduct A/B tests, you will be able to measure the effectiveness of different business strategies and make recommendations to improve results.
Management Consultant
Management Consultant
Management consultants help businesses improve their performance. They work with a variety of clients to identify problems and develop solutions. This course can help you gain the skills you need to perform A/B testing, which is a valuable tool for management consulting. By learning how to design and conduct A/B tests, you will be able to measure the effectiveness of different consulting strategies and make recommendations to improve results.
Financial Analyst
Financial Analyst
Financial analysts evaluate the financial performance of companies. They use a variety of financial data to make recommendations on investments. This course can help you gain the skills you need to perform A/B testing, which is a valuable tool for financial analysis. By learning how to design and conduct A/B tests, you will be able to measure the effectiveness of different investment strategies and make recommendations to improve results.
Actuary
Actuary
Actuaries use mathematical and statistical models to assess the financial risks of insurance companies. They work with a variety of data sources to identify and quantify risks. This course may help you gain some skills that are useful for actuaries, such as the ability to design and conduct experiments. However, it is important to note that this course does not provide the comprehensive training that is required to become an actuary.
Statistician
Statistician
Statisticians collect, analyze, and interpret data. They work with a variety of data sources to identify trends and patterns. This course can help you gain some skills that are useful for statisticians, such as the ability to design and conduct experiments. However, it is important to note that this course does not provide the comprehensive training that is required to become a statistician.
Epidemiologist
Epidemiologist
Epidemiologists study the distribution and causes of disease. They work with a variety of data sources to identify and track outbreaks of disease. This course may help you gain some skills that are useful for epidemiologists, such as the ability to design and conduct experiments. However, it is important to note that this course does not provide the comprehensive training that is required to become an epidemiologist.
Biostatistician
Biostatistician
Biostatisticians use statistical methods to solve problems in biology and medicine. They work with a variety of data sources to identify and quantify risks. This course may help you gain some skills that are useful for biostatisticians, such as the ability to design and conduct experiments. However, it is important to note that this course does not provide the comprehensive training that is required to become a biostatistician.
For more career information including salaries, visit:
OpenCourser.com/course/estsdo/perform
Reading list
We've selected eight books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
perform an A/B Test for an ad campaign using python.
Provides a clear and concise introduction to statistical significance testing, which is an essential component of A/B testing.
This advanced textbook provides a comprehensive overview of statistical learning methods, including A/B testing.
This textbook provides a practical introduction to business statistics, including A/B testing, using Microsoft Excel.
Provides a comprehensive overview of data science, including A/B testing.
Provides a comprehensive introduction to Python for data analysis, including A/B testing.
Provides a practical guide to A/B testing, including how to avoid the common pitfalls.
This textbook provides a comprehensive overview of statistical methods used in psychological science, including A/B testing.
Provides a practical guide to A/B testing using Google Optimize.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/estsdo/perform
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Time
2 hours
Via
Coursera
Institution
Coursera Project Network
Instructor
Mohanad Ayman Affify
Good to know
Well-suited for students seeking to apply statistics for A/B testing in digital marketing
Course provides practical knowledge and skills for optimizing ad campaigns
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