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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.
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.
Register for this course and see more details by visiting:
OpenCourser.com/course/kvscxq/big
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
- 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
Traffic lights
Traffic lights
Read about what's good
what should give you pause 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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Reviews summary
Practical big data capstone project
According to learners, this course is a highly practical capstone for applying big data knowledge, serving as an excellent showcase project for career readiness. Students appreciate the opportunity to apply skills independently, mirroring real-world scenarios. While many find the flexibility in project choices and useful TA feedback to be positive, a minority of students noted a lack of initial detailed guidance. This project demands strong prerequisites and can feel like more of an assessment than a learning experience for some. Overall, it's a challenging but rewarding experience.
Feedback from TAs is valuable, but the response time can sometimes be slow.
"The TA review process could be a bit slow at times, but the feedback was generally useful."
"The TAs provided good feedback on my code and report, which was a plus."
"The feedback loop with TAs was acceptable, not lightning-fast but adequate."
Course demands mastery of prior MicroMasters content; not for beginners.
"The prerequisites are definitely important; if you haven't mastered the earlier courses, this will be tough."
"This is supposed to be a capstone, not a 'figure it out entirely on your own' project."
"Good for building a portfolio, but be ready for self-study."
Fosters independent problem-solving crucial for job readiness in the big data field.
"By completing this capstone project, I created a showcase project and demonstrated to employers that I am job ready."
"It's truly a test of independent work... exactly what I needed to prepare for job interviews."
"The emphasis on independent work really mimics real-world scenarios. It's a great way to consolidate everything you've learned and show what you can do."
Effectively applies theoretical knowledge to practical, real-world big data scenarios.
"This capstone was a good challenge to apply the concepts from the MicroMasters. It definitely helped me solidify my skills."
"An excellent capstone project! It forced me to pull together everything I learned... It's very practical."
"Truly a valuable course for applying theory to practice. The project allowed for a lot of creativity and problem-solving, which is crucial in real-world big data roles."
Reviewers note a lack of detailed instructions and initial scaffolding, requiring strong self-reliance.
"I found the support lacking. There wasn't much guidance on how to approach the project, and I felt quite lost initially."
"Very disappointed with the lack of detailed instructions... a little more scaffolding or examples would have gone a long way."
"The independence required for this project is a double-edged sword... if you get stuck, it's hard to get timely help."
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Organize Course Materials
Show steps
Keeping organized will help immensely in retaining course materials and information.
Show steps
Show steps
Show steps
- Organize notes, assignments, and other resources
- Create a system for your materials
- Review organized materials regularly
Review Linear Algebra for Data Analysis
Show steps
Linear algebra is foundational to many concepts in big data. Refresh your knowledge before starting the course.
Browse courses on
Linear Algebra
Show steps
Show steps
Show steps
- Review your previous notes or textbooks
- Attend a refresher workshop
Review Apache Spark Tutorial
Show steps
Apache Spark is covered in detail in this course. Master it by following this tutorial.
Browse courses on
Apache Spark
Show steps
Show steps
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
Show steps
Data integration is covered in depth in this course. Solidify your knowledge with these practice drills.
Browse courses on
Data Integration
Show steps
Show steps
Show steps
- Find online data integration exercises
- Attempt to solve the exercises
- Review your solutions
Practice Big Data Analysis with Case Studies
Show steps
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
Show steps
Show steps
- Find case studies on big data analysis
- Analyze the case studies
- Develop solutions or recommendations
Create a Big Data Project Proposal
Show steps
This activity requires students to apply knowledge learned throughout the course to a particular project.
Show steps
Show steps
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
Show steps
Mentoring others is a great way to reinforce and solidify your knowledge in big data.
Show steps
Show steps
Show steps
- Volunteer to mentor students
- Answer questions and provide guidance
- Review and provide feedback on assignments
Create a Big Data Resources Collection
Show steps
This activity provides you with the opportunity to explore and share resources that enhance course knowledge.
Show steps
Show steps
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
Show steps
This is your opportunity to demonstrate your mastery of the covered concepts.
Show steps
Show steps
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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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.
For more career information including salaries, visit:
OpenCourser.com/course/kvscxq/big
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.
Save
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.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/kvscxq/big
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Effort
4 to 8 hours per week for 4 weeks
Level
Intermediate
Via
edX
Institution
The Hong Kong University of Science and Technology
Instructors
Ke YI
Cecia Ki CHAN
Raymond Chi-Wing WONG
Jianfeng CAI
Language
English
Transcript
English
This course belongs to a
collection
called
Big Data Technology. It's comprised of five courses:
- Big Data Technology Capstone Project (viewing)
- Big Data Computing with Spark
- Foundations of Data Analytics
- Data Mining and Knowledge Discovery
- Mathematical Methods for Data Analysis
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