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Big Data Capstone Project

Nick Falkner, Gary Glonek, Lingqiao Liu, Gavin Meredith, and Ian Knight

The Big Data Capstone Project will allow you to apply the techniques and theory you have gained from the four courses in this Big Data MicroMasters program to a medium-scale data science project.

Working with organisations and stakeholders of your choice on a real-world dataset, you will further develop your data science skills and knowledge.

This project will give you the opportunity to deepen your learning by giving you valuable experience in evaluating, selecting and applying relevant data science techniques, principles and theory to a data science problem.

This project will see you plan and execute a reasonably substantial project and demonstrate autonomy, initiative and accountability.

You’ll deepen your learning of social and ethical concerns in relation to data science, including an analysis of ethical concerns and ethical frameworks in relation to data selection and data management.

By communicating the knowledge, skills and ideas you have gained to other learners through online collaborative technologies, you will learn valuable communication skills, important for any career. You’ll also deliver a written presentation of your project design, plan, methodologies, and outcomes.

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What's inside

Learning objectives

How to evaluate, select and apply data science techniques, principles and theory;
How to plan and execute a project;
Work autonomously using your own initiative;

Identify social and ethical concerns around your project;
Develop communication skills using online collaborative technologies.
The big data capstone project will give you the chance to demonstrate practically what you have learned in the big data micromasters program including:

How to evaluate, select and apply data science techniques, principles and theory;
How to plan and execute a project;
Work autonomously using your own initiative;
Identify social and ethical concerns around your project;
Develop communication skills using online collaborative technologies.
The big data capstone project will give you the chance to demonstrate practically what you have learned in the big data micromasters program including:

Syllabus

Dataset overview, data selection and ethicsUnderstand ethical issues and concerns around big data projects;Describe how ethical issues apply to the sample dataset;Describe up to three ethical approaches;Apply ethical analysis to scenarios.

Exam (timed, proctored)The exam will cover content from the first four courses in the Big Data MicroMasters program, including the Ethics section of this capstone course, DataCapX. Itwill include questions on topics such as code structure and testing, variable types, graphs, big data algorithms, regression and ethics.

Project Task 1: Data cleaning and RegressionUnderstand the basic data cleaning and preprocessing steps required in the analysis of a real data set;Create computer code to read data and perform data cleaning and preprocessing;Judge the appropriateness of a fitted regression model to the data;Determine whether simplification of a regression model is appropriate;Apply a fitted regression model to obtain predictions for new observations.

Project Task 2: ClassificationBuild classifiers to predict the output of a desired factor;Analyse learned classifiers;Design a feature selection scheme;Design a scheme for evaluating the performance of classifiers.

Good to know

Know what's good

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Offers foundational grounding in essential big data science concepts, principles, and theory

Provides opportunities to deepen learning through a practical, medium-scale data science project

Taught by experienced instructors in the field of big data science

Focuses on real-world data and projects, enhancing the relevance of skills acquired

Builds essential communication skills for collaborating in data science teams

Project-centric approach provides hands-on experience and portfolio-building opportunities

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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 Big Data Capstone Project with these activities:

Read 'Data Science for Business' by Provost and Fawcett

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Provides a foundational understanding of data science concepts and their application in business contexts.

View Data Science para Negócios on Amazon

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Read the book and take notes on key concepts.
Summarize the main ideas of each chapter.
Apply the concepts to a real-world business scenario.

Complete the tutorial on Data Cleaning and Preprocessing Techniques

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Solidify understanding of data cleaning and preprocessing techniques, crucial for real-world data science projects.

Browse courses on Data Cleaning

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Find the tutorial on data cleaning and preprocessing techniques.
Follow the tutorial steps to clean and preprocess a sample dataset.
Apply the techniques to a different dataset of your choice.

Develop a Data Science Project Proposal

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Provides an opportunity to plan and outline a data science project, showcasing project management and communication skills.

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Define the project goals and objectives.
Identify the target audience and stakeholders.
Develop a methodology for data collection and analysis.
Create a timeline and budget for the project.
Write a clear and concise project proposal.

Five other activities

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Build a Linear Regression model using scikit-learn

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Practice building regression models to improve understanding of regression techniques and scikit-learn library.

Browse courses on Regression

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Import the necessary libraries and load the dataset.
Split the data into training and testing sets.
Create a linear regression model.
Fit the model to the training data.
Evaluate the model on the test data and report the results.

Develop a Machine Learning Model for Predicting Customer Churn

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Provides a hands-on experience in applying data science techniques to a real-world business problem.

Browse courses on Machine Learning

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Collect and clean the customer data.
Explore the data and identify potential features for prediction.
Develop and train a machine learning model.
Evaluate the model's performance.
Deploy the model to make predictions on new data.

Apply Decision Tree and Random Forest algorithms for Classification

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Improve understanding of classification algorithms and their implementation using scikit-learn.

Browse courses on Classification

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Import the necessary libraries and load the dataset.
Split the data into training and testing sets.
Create decision tree and random forest models.
Fit the models to the training data.
Evaluate the models on the test data and report the results.

Write a Blog Post Summarizing Key Concepts from the Course

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Reinforces understanding by requiring students to articulate concepts in their own words and share their knowledge with others.

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Review the course materials and identify key concepts.
Organize the concepts into a logical flow.
Write a clear and engaging blog post that explains the concepts.
Share the blog post with others and invite feedback.

Contribute to an Open-Source Data Science Project

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Provides practical experience in contributing to real-world data science projects and fosters collaboration within the community.

Browse courses on Open Source

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Identify an open-source data science project to contribute to.
Review the project documentation and codebase.
Implement a new feature or fix a bug.
Submit a pull request to the project.
Collaborate with other contributors to refine and merge your changes.

Career center

Learners who complete Big Data Capstone Project will develop knowledge and skills that may be useful to these careers:

Data Scientist

A Data Scientist combines their understanding of math, statistics, and computer science to analyze large amounts of data, draw conclusions, and make predictions. The Big Data Capstone Project will give you the opportunity to apply the knowledge and skills you have learned in the Big Data MicroMasters program to a real-world dataset, which will help you build a strong foundation for a career as a Data Scientist.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

Machine Learning Engineers design, build, and maintain machine learning models. They use their understanding of data, algorithms, and programming to develop models that can learn from data and make predictions. The Big Data Capstone Project will help you develop the skills you need to become a Machine Learning Engineer, including the ability to evaluate, select, and apply data science techniques, principios, and theories.

See salaries and explore the career path for Machine Learning Engineer

Data Analyst

Data Analysts collect, clean, and analyze data to help businesses make informed decisions. They use their skills in data analysis, statistics, and programming to identify trends and patterns in data, and to develop insights that can help businesses improve their operations and performance. The Big Data Capstone Project will give you the opportunity to develop the skills you need to become a Data Analyst, including the ability to work with large datasets, apply data analysis techniques, and communicate your findings effectively.

See salaries and explore the career path for Data Analyst

Business Analyst

Business Analysts use their understanding of business and data to help organizations improve their performance. They work with stakeholders to identify business problems, collect and analyze data, and develop recommendations for improvement. The Big Data Capstone Project will give you the opportunity to develop the skills you need to become a Business Analyst, including the ability to work with stakeholders, analyze data, and communicate your findings effectively.

See salaries and explore the career path for Business Analyst

Statistician

Statisticians collect, analyze, and interpret data to help organizations make informed decisions. They use their skills in mathematics, statistics, and programming to design and conduct studies, analyze data, and draw conclusions. The Big Data Capstone Project will give you the opportunity to develop the skills you need to become a Statistician, including the ability to work with large datasets, apply statistical techniques, and communicate your findings effectively.

See salaries and explore the career path for Statistician

Software Engineer

Software Engineers design, develop, and maintain software applications. They use their skills in programming, algorithms, and data structures to create software that meets the needs of users. The Big Data Capstone Project will give you the opportunity to develop the skills you need to become a Software Engineer, including the ability to work with large datasets, apply programming techniques, and communicate your findings effectively.

See salaries and explore the career path for Software Engineer

Quantitative Analyst

Quantitative Analysts use their skills in mathematics, statistics, and programming to develop and apply mathematical models to financial data. They use these models to make predictions about the future performance of financial markets and to make investment decisions. The Big Data Capstone Project will give you the opportunity to develop the skills you need to become a Quantitative Analyst, including the ability to work with large datasets, apply statistical techniques, and communicate your findings effectively.

See salaries and explore the career path for Quantitative Analyst

Operations Research Analyst

Operations Research Analysts use their skills in mathematics, statistics, and programming to develop and apply mathematical models to operational problems. They use these models to optimize the performance of operations and to make decisions about the allocation of resources. The Big Data Capstone Project will give you the opportunity to develop the skills you need to become an Operations Research Analyst, including the ability to work with large datasets, apply statistical techniques, and communicate your findings effectively.

See salaries and explore the career path for Operations Research Analyst

Market Research Analyst

Market Research Analysts collect, analyze, and interpret data to help businesses understand their customers and make informed decisions. They use their skills in research methods, statistics, and data analysis to design and conduct studies, analyze data, and draw conclusions. The Big Data Capstone Project will give you the opportunity to develop the skills you need to become a Market Research Analyst, including the ability to work with large datasets, apply statistical techniques, and communicate your findings effectively.

See salaries and explore the career path for Market Research Analyst

Data Architect

Data Architects design and build the infrastructure that stores and manages data. They work with stakeholders to understand the data needs of the organization and to design and implement data solutions that meet those needs. The Big Data Capstone Project will give you the opportunity to develop the skills you need to become a Data Architect, including the ability to work with large datasets, apply data engineering techniques, and communicate your findings effectively.

See salaries and explore the career path for Data Architect

Database Administrator

Database Administrators maintain and optimize databases. They work with stakeholders to understand the data needs of the organization and to design and implement database solutions that meet those needs. The Big Data Capstone Project will give you the opportunity to develop the skills you need to become a Database Administrator, including the ability to work with large datasets, apply database administration techniques, and communicate your findings effectively.

See salaries and explore the career path for Database Administrator

Systems Analyst

Systems Analysts design and implement computer systems. They work with stakeholders to understand the business needs of the organization and to design and implement systems that meet those needs. The Big Data Capstone Project will give you the opportunity to develop the skills you need to become a Systems Analyst, including the ability to work with large datasets, apply systems analysis techniques, and communicate your findings effectively.

See salaries and explore the career path for Systems Analyst

IT Project Manager

IT Project Managers plan, execute, and close IT projects. They work with stakeholders to define the scope of the project, develop the project plan, and manage the project budget and timeline. The Big Data Capstone Project will give you the opportunity to develop the skills you need to become an IT Project Manager, including the ability to work with large datasets, apply project management techniques, and communicate your findings effectively.

See salaries and explore the career path for IT Project Manager

Data Engineer

Data Engineers design, build, and maintain the infrastructure that stores and manages data. They work with stakeholders to understand the data needs of the organization and to design and implement data solutions that meet those needs. The Big Data Capstone Project will give you the opportunity to develop the skills you need to become a Data Engineer, including the ability to work with large datasets, apply data engineering techniques, and communicate your findings effectively.

See salaries and explore the career path for Data Engineer

Business Intelligence Analyst

Business Intelligence Analysts use their skills in data analysis, statistics, and programming to develop and implement business intelligence solutions. They use these solutions to help businesses make informed decisions and improve their performance. The Big Data Capstone Project will give you the opportunity to develop the skills you need to become a Business Intelligence Analyst, including the ability to work with large datasets, apply data analysis techniques, and communicate your findings effectively.

See salaries and explore the career path for Business Intelligence Analyst

Reading list

We've selected 28 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 Big Data Capstone Project.

The Elements of Statistical Learning

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Presents statistical learning methods from a theoretical perspective. Provides a rigorous foundation for understanding the principles of machine learning.

The Elements of Statistical Learning: Data Mining,...

Hardcover

$$$

The Elements of Statistical Learning: Data Mining,...

Hardcover

$$$

The Elements of Statistical Learning: Data Mining,...

Kindle Edition

$$$

Big Data

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Is an in-depth overview of the big data landscape, exploring the concepts, technologies, and tools involved in managing and analyzing large datasets. It provides a solid foundation for understanding the challenges and opportunities associated with big data.

Big Data Capstone Project

Three deals to help you save

What's inside

Learning objectives

Syllabus

Good to know

Save this course

Activities

Career center

Reading list

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