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Ke YI, Cecia Ki CHAN, Raymond Chi-Wing WONG, and Jianfeng CAI

In this capstone course, you will get an opportunity to apply the knowledge and skills that you have gained throughout this MicroMasters program. You can choose to complete any one project from a number of choices, covering topics ranging from data integration, data mining, Spark programming, to data analysis. After finishing the project, you will need to submit a report together with the code, to be reviewed by our TAs.

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In this capstone course, you will get an opportunity to apply the knowledge and skills that you have gained throughout this MicroMasters program. You can choose to complete any one project from a number of choices, covering topics ranging from data integration, data mining, Spark programming, to data analysis. After finishing the project, you will need to submit a report together with the code, to be reviewed by our TAs.

By completing this capstone project, you will create a showcase project and demonstrate to employers that you are job ready and a worthy candidate in the field of big data.

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What's inside

Learning objectives

  • Apply your knowledge on big data technologies to a real-life scenario
  • Build a showcase project to demonstrate your knowledge and experience
  • How to independently work on a big data project

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Provides learners with the opportunity to put theory into practice
Features a flexible design, catering to diverse projects and topics
Encourages independent exploration and execution of big data projects
Ideal for learners seeking practical experience and a competitive edge in the job market
Prepares learners for real-world data analysis scenarios
Covers in-demand industry technologies, including data mining, Spark Programming, and data analysis

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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 Technology Capstone Project with these activities:
Organize Course Materials
Keeping organized will help immensely in retaining course materials and information.
Show steps
  • Organize notes, assignments, and other resources
  • Create a system for your materials
  • Review organized materials regularly
Review Linear Algebra for Data Analysis
Linear algebra is foundational to many concepts in big data. Refresh your knowledge before starting the course.
Browse courses on Linear Algebra
Show steps
  • Review your previous notes or textbooks
  • Attend a refresher workshop
Review Apache Spark Tutorial
Apache Spark is covered in detail in this course. Master it by following this tutorial.
Browse courses on Apache Spark
Show steps
  • Find and read a tutorial on Apache Spark
  • Follow the tutorial and complete the exercises
Six other activities
Expand to see all activities and additional details
Show all nine activities
Practice Data Integration Tasks
Data integration is covered in depth in this course. Solidify your knowledge with these practice drills.
Browse courses on Data Integration
Show steps
  • Find online data integration exercises
  • Attempt to solve the exercises
  • Review your solutions
Practice Big Data Analysis with Case Studies
Case studies help apply theoretical knowledge in a practical way. Solve some case studies to reinforce your learning!
Browse courses on Big Data Analysis
Show steps
  • Find case studies on big data analysis
  • Analyze the case studies
  • Develop solutions or recommendations
Create a Big Data Project Proposal
This activity requires students to apply knowledge learned throughout the course to a particular project.
Show steps
  • Identify a problem statement related to big data
  • Propose a solution using big data technologies
  • Describe the implementation plan
  • Submit the project proposal
Mentor Students in Data Analytics
Mentoring others is a great way to reinforce and solidify your knowledge in big data.
Show steps
  • Volunteer to mentor students
  • Answer questions and provide guidance
  • Review and provide feedback on assignments
Create a Big Data Resources Collection
This activity provides you with the opportunity to explore and share resources that enhance course knowledge.
Show steps
  • Find and curate resources related to big data
  • Organize them by topic or type
  • Create a reference guide
  • Share your collection with others
Present Your Capstone Project
This is your opportunity to demonstrate your mastery of the covered concepts.
Show steps
  • Create a slideshow presentation
  • Choose a project to present
  • Practice your presentation
  • Deliver your presentation

Career center

Learners who complete Big Data Technology Capstone Project will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data Analysts collect, clean, and interpret data to help organizations make informed decisions. This course provides a strong foundation in big data technologies, which are essential for Data Analysts to succeed. The course also covers data mining and analysis techniques, which are valuable skills for Data Analysts. Additionally, the capstone project allows students to demonstrate their ability to work independently on a big data project, which is a highly sought-after skill for Data Analysts.
Data Engineer
Data Engineers design, build, and maintain data pipelines. This course provides a strong foundation in big data technologies, which are essential for Data Engineers to succeed. The course also covers data integration and Spark programming, which are valuable skills for Data Engineers. Additionally, the capstone project allows students to demonstrate their ability to work independently on a big data project, which is a highly sought-after skill for Data Engineers.
Data Scientist
Data Scientists use data to solve business problems. This course provides a strong foundation in big data technologies, which are essential for Data Scientists to succeed. The course also covers data mining and analysis techniques, which are valuable skills for Data Scientists. Additionally, the capstone project allows students to demonstrate their ability to work independently on a big data project, which is a highly sought-after skill for Data Scientists.
Big Data Architect
Big Data Architects design and implement big data solutions. This course provides a strong foundation in big data technologies, which are essential for Big Data Architects to succeed. The course also covers data integration, data mining, and Spark programming, which are valuable skills for Big Data Architects. Additionally, the capstone project allows students to demonstrate their ability to work independently on a big data project, which is a highly sought-after skill for Big Data Architects.
Machine Learning Engineer
Machine Learning Engineers build and deploy machine learning models. This course provides a foundation in big data technologies, which can be valuable for Machine Learning Engineers. The course also covers data mining and analysis techniques, which are essential for Machine Learning Engineers to succeed. Additionally, the capstone project allows students to demonstrate their ability to work independently on a big data project, which is a highly sought-after skill for Machine Learning Engineers.
Data Warehouse Architect
Data Warehouse Architects design and implement data warehouses. This course provides a foundation in big data technologies, which can be valuable for Data Warehouse Architects. The course also covers data integration and data mining, which are essential for Data Warehouse Architects to succeed. Additionally, the capstone project allows students to demonstrate their ability to work independently on a big data project, which is a highly sought-after skill for Data Warehouse Architects.
Database Administrator
Database Administrators manage and maintain databases. This course provides a foundation in big data technologies, which can be valuable for Database Administrators. The course also covers data integration and data analysis, which are essential for Database Administrators to succeed. Additionally, the capstone project allows students to demonstrate their ability to work independently on a big data project, which is a highly sought-after skill for Database Administrators.
Software Engineer
Software Engineers design, develop, and maintain software applications. This course provides a foundation in big data technologies, which can be valuable for Software Engineers. The course also covers data mining and analysis techniques, which can be essential for Software Engineers to succeed. Additionally, the capstone project allows students to demonstrate their ability to work independently on a big data project, which is a highly sought-after skill for Software Engineers.
Business Analyst
Business Analysts use data to improve business processes. This course provides a foundation in big data technologies, which can be valuable for Business Analysts. The course also covers data mining and analysis techniques, which are essential for Business Analysts to succeed. Additionally, the capstone project allows students to demonstrate their ability to work independently on a big data project, which is a highly sought-after skill for Business Analysts.
Project Manager
Project Managers plan and execute projects. This course provides a foundation in big data technologies, which can be valuable for Project Managers. The course also covers data integration and data analysis, which can be essential for Project Managers to succeed. Additionally, the capstone project allows students to demonstrate their ability to work independently on a big data project, which is a highly sought-after skill for Project Managers.
IT Manager
IT Managers plan and implement IT strategies. This course provides a foundation in big data technologies, which can be valuable for IT Managers. The course also covers data integration and data analysis, which can be essential for IT Managers to succeed. Additionally, the capstone project allows students to demonstrate their ability to work independently on a big data project, which is a highly sought-after skill for IT Managers.
Product Manager
Product Managers design and develop products. This course provides a foundation in big data technologies, which can be valuable for Product Managers. The course also covers data mining and analysis techniques, which can be essential for Product Managers to succeed. Additionally, the capstone project allows students to demonstrate their ability to work independently on a big data project, which is a highly sought-after skill for Product Managers.
Marketing Manager
Marketing Managers plan and execute marketing campaigns. This course provides a foundation in big data technologies, which can be valuable for Marketing Managers. The course also covers data mining and analysis techniques, which can be essential for Marketing Managers to succeed. Additionally, the capstone project allows students to demonstrate their ability to work independently on a big data project, which is a highly sought-after skill for Marketing Managers.
Sales Manager
Sales Managers plan and execute sales strategies. This course provides a foundation in big data technologies, which can be valuable for Sales Managers. The course also covers data mining and analysis techniques, which can be essential for Sales Managers to succeed. Additionally, the capstone project allows students to demonstrate their ability to work independently on a big data project, which is a highly sought-after skill for Sales Managers.
Customer Success Manager
Customer Success Managers ensure that customers are satisfied with products and services. This course provides a foundation in big data technologies, which can be valuable for Customer Success Managers. The course also covers data mining and analysis techniques, which can be essential for Customer Success Managers to succeed. Additionally, the capstone project allows students to demonstrate their ability to work independently on a big data project, which is a highly sought-after skill for Customer Success Managers.

Reading list

We've selected six 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 Technology Capstone Project.
Is the definitive guide to Apache Spark, a popular framework for processing big data. It valuable resource for students who want to learn how to use Spark to solve real-world problems.
Is the definitive guide to Apache Hadoop, a popular framework for storing and processing big data. It valuable resource for students who want to learn how to use Hadoop to solve real-world problems.
Provides a practical introduction to machine learning algorithms and techniques for big data. It useful resource for students who want to apply machine learning to big data problems.
Provides a hands-on introduction to big data analytics using PySpark. It useful resource for students who want to learn how to use PySpark to develop big data applications.
This classic textbook covers the fundamental concepts and techniques of data mining. It valuable reference for students who want to learn more about data mining algorithms and techniques.
Provides a practical introduction to big data analytics using Java. It useful resource for students who want to learn how to use Java to develop big data applications.

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