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PARTHA MAJUMDAR
In this Project, we discuss how to analyse the data available from WhatsApp. We will use R Programming to analyse the data.
Data from WhatsApp can be exported from the phone one is using. This technique can be gathered from many sources including YouTube. Due to limitations of this platform I will not discuss this. I will assume that the Learner is able to export data from WhatsApp and make it ready for analysis.
I will use RStudio on the Cloud for demonstrating the steps for the analysis. Here again, there are limitations. However, we will discuss as much amount of code as possible. Learners can extrapolate and extend the...
Read more
In this Project, we discuss how to analyse the data available from WhatsApp. We will use R Programming to analyse the data.
Data from WhatsApp can be exported from the phone one is using. This technique can be gathered from many sources including YouTube. Due to limitations of this platform I will not discuss this. I will assume that the Learner is able to export data from WhatsApp and make it ready for analysis.
I will use RStudio on the Cloud for demonstrating the steps for the analysis. Here again, there are limitations. However, we will discuss as much amount of code as possible. Learners can extrapolate and extend the...
Read more
In this Project, we discuss how to analyse the data available from WhatsApp. We will use R Programming to analyse the data.
Data from WhatsApp can be exported from the phone one is using. This technique can be gathered from many sources including YouTube. Due to limitations of this platform I will not discuss this. I will assume that the Learner is able to export data from WhatsApp and make it ready for analysis.
I will use RStudio on the Cloud for demonstrating the steps for the analysis. Here again, there are limitations. However, we will discuss as much amount of code as possible. Learners can extrapolate and extend the discussed for further use.
Numerous analysis is possible on the data available from WhatsApp. We will discuss a few only. However, after going through this project, it should be possible for the Learner to conduct many more analysis on his/her own.
Further, the discussed code could be reused to create Data Products which could be published on the web using platforms like Shiny.io.
This Guided Project was created by a Coursera community member.
Register for this course and see more details by visiting:
OpenCourser.com/course/mlp5n1/analysing
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Provides methods of WhatsApp data analysis using the R programming language
Engages learners with interactive materials and hands-on labs
Assumes prior experience in exporting WhatsApp data, which may limit accessibility for some learners
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Reviews summary
Decent whatsapp chat data analysis
Students thought that this was a good course and that it had just the right amount of information to get started with WhatsApp Chat data analysis, but they wished more R code was provided and discussed. One student had difficulty with non-working code.
Students found the course to be good
"Good"
"Awesome"
"Great course "
Some students thought the course was too long
"... too long, I would say that 3 charts would be enough to aquire the skill provided in the project."
Students wished more R code was provided
"However, we will discuss as much amount of code as possible."
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 Analysing WhatsApp Chat Data with these
activities:
Review linear algebra
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Strengthen your linear algebra skills for better understanding of regression analysis and other statistical techniques used in the course.
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Linear Algebra
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Review notes and textbooks from previous linear algebra courses.
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Complete practice problems and exercises.
Review Statistics
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Review basic statistical techniques to solidify your understanding of the foundational concepts used throughout the course.
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Statistics
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-
Review notes and textbooks from previous statistics courses.
-
Complete practice problems to test your understanding.
-
Attend a review session or workshop if available.
Read 'Data Science for Business'
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Gain a broader perspective on data science applications in business contexts, complementing the course's focus on technical skills.
View
Data Science for Business: What You Need to...
on Amazon
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Read the book thoroughly, taking notes and highlighting key concepts.
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Summarize and reflect on the main ideas presented in the book.
-
Identify how the concepts relate to the course content.
Five other activities
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Follow tutorials on R Programming
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Gain practical skills in R programming through guided tutorials to prepare for the data analysis component of the course.
Browse courses on
R Programming
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-
Enroll in an online tutorial or workshop on R programming.
-
Complete hands-on exercises and projects to apply your learning.
Join a study group or discussion forum
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Engage with peers to discuss course concepts, share insights, and seek support, enhancing your understanding and retention.
Browse courses on
Data Analysis
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-
Identify or create a study group or join an online discussion forum.
-
Actively participate in discussions and ask questions.
-
Share your own knowledge and insights with others.
Solve practice problems in data analysis
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Reinforce your understanding of data analysis techniques by solving practice problems and receiving immediate feedback.
Browse courses on
Descriptive Statistics
Show steps
-
Set aside time each week to solve practice problems.
-
Use online resources or textbooks to find practice problems.
-
Check your answers against provided solutions or seek help from instructors.
Create a data visualization dashboard
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Enhance your data communication skills by creating an interactive dashboard that effectively presents data insights.
Browse courses on
Data Visualization
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-
Identify a dataset and key insights to visualize.
-
Choose appropriate visualization techniques and tools.
-
Create the dashboard and ensure its interactivity.
-
Share the dashboard with others and gather feedback.
Build a personal data analysis project
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Apply your data analysis skills to a real-world problem by initiating a personal project, fostering critical thinking and problem-solving abilities.
Browse courses on
Data Visualization
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-
Gather and clean the necessary data.
-
Identify a specific problem or question you want to explore using data.
-
Perform data analysis and draw insights.
-
Create data visualizations to present your findings.
-
Share your project and insights with others.
Review linear algebra
Show steps
Strengthen your linear algebra skills for better understanding of regression analysis and other statistical techniques used in the course.
Browse courses on
Linear Algebra
Show steps
Show steps
Show steps
- Review notes and textbooks from previous linear algebra courses.
- Complete practice problems and exercises.
Review Statistics
Show steps
Review basic statistical techniques to solidify your understanding of the foundational concepts used throughout the course.
Browse courses on
Statistics
Show steps
Show steps
Show steps
- Review notes and textbooks from previous statistics courses.
- Complete practice problems to test your understanding.
- Attend a review session or workshop if available.
Read 'Data Science for Business'
Show steps
Gain a broader perspective on data science applications in business contexts, complementing the course's focus on technical skills.
View
Data Science for Business: What You Need to...
on Amazon
Show steps
Show steps
Show steps
- Read the book thoroughly, taking notes and highlighting key concepts.
- Summarize and reflect on the main ideas presented in the book.
- Identify how the concepts relate to the course content.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Follow tutorials on R Programming
Show steps
Gain practical skills in R programming through guided tutorials to prepare for the data analysis component of the course.
Browse courses on
R Programming
Show steps
Show steps
Show steps
- Enroll in an online tutorial or workshop on R programming.
- Complete hands-on exercises and projects to apply your learning.
Join a study group or discussion forum
Show steps
Engage with peers to discuss course concepts, share insights, and seek support, enhancing your understanding and retention.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Identify or create a study group or join an online discussion forum.
- Actively participate in discussions and ask questions.
- Share your own knowledge and insights with others.
Solve practice problems in data analysis
Show steps
Reinforce your understanding of data analysis techniques by solving practice problems and receiving immediate feedback.
Browse courses on
Descriptive Statistics
Show steps
Show steps
Show steps
- Set aside time each week to solve practice problems.
- Use online resources or textbooks to find practice problems.
- Check your answers against provided solutions or seek help from instructors.
Create a data visualization dashboard
Show steps
Enhance your data communication skills by creating an interactive dashboard that effectively presents data insights.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Identify a dataset and key insights to visualize.
- Choose appropriate visualization techniques and tools.
- Create the dashboard and ensure its interactivity.
- Share the dashboard with others and gather feedback.
Build a personal data analysis project
Show steps
Apply your data analysis skills to a real-world problem by initiating a personal project, fostering critical thinking and problem-solving abilities.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Gather and clean the necessary data.
- Identify a specific problem or question you want to explore using data.
- Perform data analysis and draw insights.
- Create data visualizations to present your findings.
- Share your project and insights with others.
Career center
Learners who complete Analysing WhatsApp Chat Data will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
Data Analysts use their skills to analyze data and provide insights to businesses. This course can help you develop the skills needed to become a Data Analyst by teaching you how to clean and prepare data, perform statistical analysis, and visualize data. This course may also be helpful for Data Analysts who want to learn more about how to analyze WhatsApp data.
Data Scientist
Data Scientist
Data Scientists use their skills to build models and make predictions using data. This course can help you develop the skills needed to become a Data Scientist by teaching you how to collect and clean data, build models, and evaluate the performance of models. This course may also be helpful for Data Scientists who want to learn more about how to analyze WhatsApp data.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers use their skills to build and deploy machine learning models. This course can help you develop the skills needed to become a Machine Learning Engineer by teaching you how to collect and clean data, build models, and evaluate the performance of models. This course may also be helpful for Machine Learning Engineers who want to learn more about how to analyze WhatsApp data.
Data Engineer
Data Engineer
Data Engineers use their skills to build and maintain data pipelines. This course can help you develop the skills needed to become a Data Engineer by teaching you how to design and implement data pipelines. This course may also be helpful for Data Engineers who want to learn more about how to analyze WhatsApp data.
Software Engineer
Software Engineer
Software Engineers use their skills to design, develop, and maintain software applications. This course can help you develop the skills needed to become a Software Engineer by teaching you how to write code, debug code, and test code. This course may also be helpful for Software Engineers who want to learn more about how to analyze WhatsApp data.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use their skills to analyze and improve business operations. This course can help you develop the skills needed to become an Operations Research Analyst by teaching you how to collect and analyze data, develop models, and make recommendations for improvement. This course may also be helpful for Operations Research Analysts who want to learn more about how to analyze WhatsApp data.
Market Research Analyst
Market Research Analyst
Market Research Analysts use their skills to collect and analyze data about markets and customers. This course can help you develop the skills needed to become a Market Research Analyst by teaching you how to design and conduct surveys, analyze data, and make recommendations. This course may also be helpful for Market Research Analysts who want to learn more about how to analyze WhatsApp data.
Business Analyst
Business Analyst
Business Analysts use their skills to analyze business processes and identify opportunities for improvement. This course can help you develop the skills needed to become a Business Analyst by teaching you how to collect and analyze data, and make recommendations for improvement. This course may also be helpful for Business Analysts who want to learn more about how to analyze WhatsApp data.
Risk Analyst
Risk Analyst
Risk Analysts use their skills to identify and assess risks. This course can help you develop the skills needed to become a Risk Analyst by teaching you how to collect and analyze data, identify risks, and make recommendations for mitigation. This course may also be helpful for Risk Analysts who want to learn more about how to analyze WhatsApp data.
Product Manager
Product Manager
Product Managers use their skills to develop and manage products. This course can help you develop the skills needed to become a Product Manager by teaching you how to define product requirements, track product development, and launch products. This course may also be helpful for Product Managers who want to learn more about how to analyze WhatsApp data.
Sales Analyst
Sales Analyst
Sales Analysts use their skills to analyze sales data and make sales recommendations. This course can help you develop the skills needed to become a Sales Analyst by teaching you how to collect and analyze sales data, and make recommendations for improvement. This course may also be helpful for Sales Analysts who want to learn more about how to analyze WhatsApp data.
Financial Analyst
Financial Analyst
Financial Analysts use their skills to analyze financial data and make investment recommendations. This course can help you develop the skills needed to become a Financial Analyst by teaching you how to collect and analyze financial data, and make recommendations for investment. This course may also be helpful for Financial Analysts who want to learn more about how to analyze WhatsApp data.
Marketing Analyst
Marketing Analyst
Marketing Analysts use their skills to analyze marketing data and make marketing recommendations. This course can help you develop the skills needed to become a Marketing Analyst by teaching you how to collect and analyze marketing data, and make recommendations for improvement. This course may also be helpful for Marketing Analysts who want to learn more about how to analyze WhatsApp data.
Customer Success Manager
Customer Success Manager
Customer Success Managers use their skills to help customers succeed with their products or services. This course can help you develop the skills needed to become a Customer Success Manager by teaching you how to build relationships with customers, understand their needs, and resolve their problems. This course may also be helpful for Customer Success Managers who want to learn more about how to analyze WhatsApp data.
Technical Writer
Technical Writer
Technical Writers use their skills to write documentation for technical products or services. This course can help you develop the skills needed to become a Technical Writer by teaching you how to write clear and concise documentation. This course may also be helpful for Technical Writers who want to learn more about how to analyze WhatsApp data.
For more career information including salaries, visit:
OpenCourser.com/course/mlp5n1/analysing
Reading list
We've selected 11 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
Analysing WhatsApp Chat Data.
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Comprehensive introduction to R, a powerful programming language for data science. It covers everything from data manipulation to visualization to statistical modeling. It valuable resource for anyone who wants to learn how to use R for data analysis.
Provides a comprehensive introduction to R programming. It covers everything from the basics of R syntax to advanced topics such as object-oriented programming and data visualization. It valuable resource for anyone who wants to learn how to use R for data analysis.
Save
Provides a collection of recipes for creating beautiful and informative graphics in R. It covers everything from basic plots to advanced visualizations. It valuable resource for anyone who wants to learn how to create effective data visualizations in R.
Save
Provides a gentle introduction to R programming. It covers everything from the basics of R syntax to more advanced topics such as data analysis and visualization. It valuable resource for anyone who wants to learn how to use R for data analysis.
Provides a hands-on introduction to R programming. It covers everything from the basics of R syntax to more advanced topics such as data analysis and visualization. It valuable resource for anyone who wants to learn how to use R for data analysis.
Save
Provides a comprehensive introduction to R programming. It covers everything from the basics of R syntax to advanced topics such as object-oriented programming and data visualization. It valuable resource for anyone who wants to learn how to use R for data analysis.
Provides a comprehensive introduction to R programming for business analysis. It covers everything from the basics of R syntax to advanced topics such as data manipulation, statistical modeling, and data visualization. It valuable resource for anyone who wants to learn how to use R for business analysis.
Save
Provides a comprehensive introduction to R programming for finance. It covers everything from the basics of R syntax to advanced topics such as data manipulation, statistical modeling, and data visualization. It valuable resource for anyone who wants to learn how to use R for finance.
Save
Provides a comprehensive introduction to R programming for machine learning. It covers everything from the basics of R syntax to advanced topics such as data manipulation, statistical modeling, and data visualization. It valuable resource for anyone who wants to learn how to use R for machine learning.
Provides a comprehensive introduction to R programming for bioinformatics. It covers everything from the basics of R syntax to advanced topics such as data manipulation, statistical modeling, and data visualization. It valuable resource for anyone who wants to learn how to use R for bioinformatics.
Provides a comprehensive introduction to R programming for data mining. It covers everything from the basics of R syntax to advanced topics such as data manipulation, statistical modeling, and data visualization. It valuable resource for anyone who wants to learn how to use R for data mining.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/mlp5n1/analysing
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Time
2 hours
Via
Coursera
Institution
Coursera Community Project Network
Instructor
PARTHA MAJUMDAR
Good to know
Provides methods of WhatsApp data analysis using the R programming language
Engages learners with interactive materials and hands-on labs
Assumes prior experience in exporting WhatsApp data, which may limit accessibility for some learners
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