Coursera

Analysing WhatsApp Chat Data (Coursera)

Offered by Coursera Project Network,

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.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

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.

In this Guided Project, you will:

How to export data from WhatsApp
How to upload WhatsApp Chat Data for analysis
How to visualise WhatsApp Chat Data

Learn step-by-step

Word Analysis
Create a Shiny Application
Read WhatsApp Chat Data
Visualisation 1 - Messages per Day
Visualisation 2 - Messages per Weekday
Creating a Radar Chart
Visualisation 4 - Messages per hour
Visualisation 5 - Messages per Author
Emoji Analysis

Go to Class

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Coursera

LearnQuest

Data Processing with Azure (Coursera)

CS: Information & Technology

This Azure training course is designed to equip students with the knowledge need to process, store and analyze data for making informed business decisions. Through this Azure course, the student will understand what big data is along with the importance of big data analytics, which will improve the students mathematical and programming skills. Students will learn the most effective method of using essential analytical tools such as Python, R, and Apache Spark.

Oct 19th 2026

3 Weeks

Big Data Data Analysis Microsoft Azure

Coursera

University of Toronto

Bioinformatic Methods II (Coursera)

Sci: Biology & Life Sciences Health & Society

Large-scale biology projects such as the sequencing of the human genome and gene expression surveys using RNA-seq, microarrays and other technologies have created a wealth of data for biologists. However, the challenge facing scientists is analyzing and even accessing these data to extract useful information pertaining to the system being studied. This course focuses on employing existing bioinformatic resources – mainly web-based programs and databases – to access the wealth of data to answer questions relevant to the average biologist, and is highly hands-on.

Oct 26th 2026

5-12 Weeks

Biology Bioinformatics Molecular Biology

Coursera

Erasmus University Rotterdam

Necessary Condition Analysis (NCA) (Coursera)

Economics & Finance

Welcome to Necessary Condition Analysis (NCA). NCA analyzes data using necessity logic. A necessary condition implies that if the condition is not in place, there will be guaranteed failure of the outcome. The opposite however is not true; if the condition is in place, success of the outcome is not guaranteed.

Oct 26th 2026

5-12 Weeks

Data Analysis Coursera Plus Necessary Condition Analysis

Coursera

Leiden University

Population Health: Predictive Analytics (Coursera)

Statistics & Data Analysis Data Science

Predictive analytics has a longstanding tradition in medicine. Developing better prediction models is a critical step in the pursuit of improved health care: we need these tools to guide our decision-making on preventive measures, and individualized treatments. In order to effectively use and develop these models, we must understand them better. In this course, you will learn how to make accurate prediction tools, and how to assess their validity. First, we will discuss the role of predictive analytics for prevention, diagnosis, and effectiveness. Then, we look at key concepts such as study design, sample size and overfitting.

Oct 26th 2026

4 Weeks

Health Data Analysis Predictive Analytics

Coursera

University of California, Santa Cruz

Bayesian Statistics: Mixture Models (Coursera)

Statistics & Data Analysis

Bayesian Statistics: Mixture Models introduces you to an important class of statistical models. The course is organized in five modules, each of which contains lecture videos, short quizzes, background reading, discussion prompts, and one or more peer-reviewed assignments. Statistics is best learned by doing it, not just watching a video, so the course is structured to help you learn through application.

Oct 19th 2026

5-12 Weeks

Statistics Data Analysis Statistical Models

Coursera

Northeastern University

Data Visualization with Python & R for Engineers (Coursera)

Statistics & Data Analysis Data Science

The primary objective of this course is to offer students an opportunity to learn how to use visualization tools and techniques for data exploration, knowledge discovery, data storytelling, and decision making in engineering, healthcare operations, manufacturing, and related applications. This course covers basics of data mining and visualization, and Python. It also introduces students to static visualization charts and techniques that reveal information, patterns, interactions.

Oct 26th 2026

4 Weeks

Python Data Mining Data Visualization

Coursera

Università Bocconi

A Scientific Approach to Innovation Management (Coursera)

Business

How can innovators understand if their idea is worth developing and pursuing? In this course, we lay out a systematic process to make strategic decisions about innovative product or services that will help entrepreneurs, managers and innovators to avoid common pitfalls. We teach students to assess the feasibility of an innovative idea through problem-framing techniques and rigorous data analysis labelled ‘a scientific approach’.

Oct 19th 2026

5-12 Weeks

Innovation Management Data Analysis

Coursera

Korea Advanced Institute of Science and Technology - KAIST

Practical Python for AI Coding 2 (Coursera)

CS: Software Engineering CS: Programming

This course is for a complete novice of Python coding, so no prior knowledge or experience in software coding is required. This course selects, introduces and explains Python syntaxes, functions and libraries that were frequently used in AI coding. In addition, this course introduces vital syntaxes, and functions often used in AI coding and explains the complementary relationship among NumPy, Pandas and TensorFlow, so this course is helpful for even seasoned python users.

Oct 26th 2026

5-12 Weeks

Python Object-Oriented Programming Data Visualization

Coursera

Alibaba Cloud Academy

Big Data Analysis Deep Dive (Coursera)

CS: Information & Technology

The job market for architects, engineers, and analytics professionals with Big Data expertise continues to increase. The Academy’s Big Data Career path focuses on the fundamental tools and techniques needed to pursue a career in Big Data. This course includes: data processing with python, writing and reading SQL queries, transmitting data with MaxCompute, analyzing data with Quick BI, using Hive, Hadoop, and spark on E-MapReduce, and how to visualize data with data dashboards. Work through our course material, learn different aspects of the Big Data field, and get certified as a Big Data Professional!

Oct 26th 2026

5-12 Weeks

Python SQL Big Data

Coursera

Nanjing University

Data Processing Using Python (Coursera)

CS: Software Engineering Statistics & Data Analysis

This course is mainly for non-computer majors. It starts with the basic syntax of Python, to how to acquire data in Python locally and from network, to how to present data, then to how to conduct basic and advanced statistic analysis and visualization of data, and finally to how to design a simple GUI to present and process data, advancing level by level.

Oct 19th 2026

5-12 Weeks

Python Data Structures Data Analysis

Coursera

Johns Hopkins University

Advanced Linear Models for Data Science 2: Statistical Linear Models (Coursera)

Statistics & Data Analysis Data Science

Welcome to the Advanced Linear Models for Data Science Class 2: Statistical Linear Models. This class is an introduction to least squares from a linear algebraic and mathematical perspective. Before beginning the class make sure that you have the following: a basic understanding of linear algebra and multivariate calculus; a basic understanding of statistics and regression models; at least a little familiarity with proof based mathematics; basic knowledge of the R programming language.

Oct 26th 2026

4 Weeks

Algebra Linear Algebra Data Science

Coursera

Rutgers University

Business Intelligence and Competitive Analysis (Coursera)

Business

By the end of 2019, it is clear that American Airlines (AAL), the world’s largest airline group, is in trouble. With the growth rate of its stock price ranked at the bottom of all major US airlines and going in the opposite direction from the SP500 index, AAL needs to find out what is going on, and how to turn the company and its stock price around.

Oct 26th 2026

4 Weeks

Data Analysis Business Intelligence Benchmarking