Coursera

Business Statistics and Analysis Capstone (Coursera)

Offered by Rice University,

The Business Statistics and Analysis Capstone is an opportunity to apply various skills developed across the four courses in the specialization to a real life data. The Capstone, in collaboration with an industry partner uses publicly available ‘Housing Data’ to pose various questions typically a client would pose to a data analyst. Your job is to do the relevant statistical analysis and report your findings in response to the questions in a way that anyone can understand.

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

Please remember that this is a Capstone, and has a degree of difficulty/ambiguity higher than the previous four courses. The aim being to mimic a real life application as close as possible.

Course 5 of 5 in the Business Statistics and Analysis Specialization

Syllabus

WEEK 1: Business Statistics and Analysis Capstone: An Introduction
WEEK 2: Business Statistics and Analysis Capstone: Assessments 1 & 2
WEEK 3: Business Statistics and Analysis Capstone: Assessment 3
WEEK 4: Business Statistics and Analysis Capstone: Assessment 4

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

École Polytechnique Fédérale de Lausanne

Functional Programming in Scala Capstone (Coursera)

Statistics & Data Analysis Data Science

In the final capstone project you will apply the skills you learned by building a large data-intensive application using real-world data. You will implement a complete application processing several gigabytes of data. This application will show interactive visualizations of the evolution of temperatures over time all over the world.

Aug 10th 2026

5-12 Weeks

Interface Scala Interactive

Coursera

Universidad Austral

Excel aplicado a los negocios (Nivel Avanzado) (Coursera)

Statistics & Data Analysis Data Science

Objetivos Generales: Al finalizar el curso, podrás: 1.- ENTENDER y profundizar convenientemente aspectos específicos de diferentes formas de trabajo (individual o grupal), 2.- EVALUAR el uso de funciones avanzadas para manipular datos y CREAR tus propios análisis utilizando técnicas específicas tales como tablas dinámicas, análisis de hipótesis, administración de escenarios, tablas de simple y doble entrada, análisis de optimización de recursos. 3.- ANALIZAR cómo vincular Excel con otras aplicaciones importando información desde archivos de texto y bases de datos, exportando información a archivos de texto de diversas formas. 4.- ENTENDER el uso de macros lo que te permitirá vislumbrar otro universo de aplicaciones que harán mucho más productiva tu labor.

Aug 10th 2026

5-12 Weeks

Business Hypothesis Excel

Coursera

University of California, San Diego

Code Free Data Science (Coursera)

Data Science

The Code Free Data Science class is designed for learners seeking to gain or expand their knowledge in the area of Data Science. Participants will receive the basic training in effective predictive analytic approaches accompanying the growing discipline of Data Science without any programming requirements. Machine Learning methods will be presented by utilizing the KNIME Analytics Platform to discover patterns and relationships in data.

Aug 3rd 2026

4 Weeks

Machine Learning Big Data Data Science

Coursera

University of California, Davis

Data Visualization with Tableau Project (Coursera)

Statistics & Data Analysis Data Science

In this project-based course, you will follow your own interests to create a portfolio worthy single-frame viz or multi-frame data story that will be shared on Tableau Public. You will use all the skills taught in this Specialization to complete this project step-by-step, with guidance from your instructors along the way.

Aug 10th 2026

5-12 Weeks

Data Analysis Data Visualization Tableau

Coursera

University of Geneva

Global Statistics - Composite Indices for International Comparisons (Coursera)

Statistics & Data Analysis Data Science

In this course on global statistics, offered by the University of Geneva jointly with the ETH Zürich KOF, you will learn the general approach of constructing composite indices and some of resulting problems. We will discuss the technical properties, the internal structure (like aggregation, weighting, stability of time series), the primary data used and the variable selection methods. These concepts will be illustrated using a sample of the most popular composite indices. We will try to address not only statistical questions but also focus on the distinction between policy-, media- and paradigm-driven indicators.

Aug 3rd 2026

5-12 Weeks

Statistics Data Analysis Comparison

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.

Aug 3rd 2026

4 Weeks

Data Analysis Business Intelligence Benchmarking

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.

Aug 10th 2026

5-12 Weeks

Python Data Structures Data Analysis

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.

Aug 3rd 2026

5-12 Weeks

Biology Bioinformatics Molecular Biology

Coursera

Leiden University

Population Health: Responsible Data Analysis (Coursera)

Statistics & Data Analysis Data Science

In most areas of health, data is being used to make important decisions. As a health population manager, you will have the opportunity to use data to answer interesting questions. In this course, we will discuss data analysis from a responsible perspective, which will help you to extract useful information from data and enlarge your knowledge about specific aspects of interest of the population.

Aug 10th 2026

4 Weeks

Data Analysis R Programming Regression 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.

Aug 3rd 2026

4 Weeks

Health Data Analysis Predictive Analytics

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.

Aug 3rd 2026

5-12 Weeks

Data Analysis Coursera Plus Necessary Condition Analysis

Coursera

Northeastern University

Healthcare Information Design and Visualizations (Coursera)

Statistics & Data Analysis Data Science

Introduces processes and design principles for creating meaningful displays of information that support effective business decision-making. Studies how to collect and process data; create visualizations (both static and interactive); and use them to provide insight into a problem, situation, or opportunity. Introduces methods to critique visualizations along with ways to answer the elusive question: “What makes a visualization effective?”

Aug 10th 2026

4 Weeks

Healthcare Storytelling Data Analysis