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Josh Bernhard ,
Mike Yi,
Judit Lantos,
David Drummond,
Andrew Paster,
Juno Lee,
and
Luis Serrano
Leverage what you’ve learned throughout the program to build your own open-ended Data Science project. This project will serve as a demonstration of your valuable abilities as a Data Scientist.
Register for this course and see more details by visiting:
OpenCourser.com/course/j2l40y/data
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What's inside
Syllabus
Now you will put your Data Science skills to the test by solving a real world problem using all that you have learned throughout the program.
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Save Data Scientist Capstone to your list so you can find it easily later:
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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 Data Scientist Capstone with these
activities:
Connect with Data Science Professionals
Show steps
Gain valuable insights and guidance by connecting with experienced data science professionals.
Browse courses on
Mentorship
Show steps
-
Identify potential mentors
-
Reach out and request mentorship
Discuss Data Science Concepts
Show steps
Enhance understanding and broaden perspectives by discussing data science concepts with peers.
Browse courses on
Data Science Concepts
Show steps
-
Form a study group with peers
-
Select topics for discussion
-
Meet regularly and have discussions
Explore Data Analytics Tools
Show steps
Enhance understanding of data analytics tools and techniques by exploring hands-on tutorials and resources.
Browse courses on
Data Analytics Tools
Show steps
-
Identify and select suitable tools
-
Complete tutorials and exercises
-
Experiment with different techniques
Three other activities
Expand to see all activities and additional details
Show all six activities
Attend a Data Science Workshop
Show steps
Gain practical experience and insights by attending a data science workshop led by industry experts.
Browse courses on
Data Analytics
Show steps
-
Research and identify relevant workshops
-
Register and attend the workshop
Design and Implement a Data Science Solution
Show steps
Reinforce understanding of data science principles by applying them to a real-world problem and creating a data science solution.
Browse courses on
Data Analysis
Show steps
-
Define the problem and gather data
-
Explore and analyze the data
-
Develop and implement a data science model
-
Evaluate and refine the model
Solve Data Science Challenges
Show steps
Strengthen problem-solving skills and deepen understanding of data science algorithms and techniques.
Show steps
-
Identify and select suitable challenges
-
Develop and implement solutions
Connect with Data Science Professionals
Show steps
Gain valuable insights and guidance by connecting with experienced data science professionals.
Browse courses on
Mentorship
Show steps
Show steps
Show steps
- Identify potential mentors
- Reach out and request mentorship
Discuss Data Science Concepts
Show steps
Enhance understanding and broaden perspectives by discussing data science concepts with peers.
Browse courses on
Data Science Concepts
Show steps
Show steps
Show steps
- Form a study group with peers
- Select topics for discussion
- Meet regularly and have discussions
Explore Data Analytics Tools
Show steps
Enhance understanding of data analytics tools and techniques by exploring hands-on tutorials and resources.
Browse courses on
Data Analytics Tools
Show steps
Show steps
Show steps
- Identify and select suitable tools
- Complete tutorials and exercises
- Experiment with different techniques
Three other activities
Expand to see all activities and additional details
Show all six activities
Attend a Data Science Workshop
Show steps
Gain practical experience and insights by attending a data science workshop led by industry experts.
Browse courses on
Data Analytics
Show steps
Show steps
Show steps
- Research and identify relevant workshops
- Register and attend the workshop
Design and Implement a Data Science Solution
Show steps
Reinforce understanding of data science principles by applying them to a real-world problem and creating a data science solution.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Define the problem and gather data
- Explore and analyze the data
- Develop and implement a data science model
- Evaluate and refine the model
Solve Data Science Challenges
Show steps
Strengthen problem-solving skills and deepen understanding of data science algorithms and techniques.
Show steps
Show steps
Show steps
- Identify and select suitable challenges
- Develop and implement solutions
Career center
Learners who complete Data Scientist Capstone will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
The Data Scientist Capstone course is an excellent way to finish off your Data Science studies. This course will help you apply all that you have learned in a practical setting, which will prepare you well for the job market. You'll get to work on a real-world problem and use your skills in data analysis, machine learning, and visualization to solve it. This course will build a strong foundation for you in data science and help you develop the skills you need to be successful in this field.
Data Science Consultant
Data Science Consultant
The Data Scientist Capstone course will help prepare you for a consulting role in the field of data science. This course will teach you the skills you need to work with clients to identify and solve their data science problems. You'll learn about a variety of data science consulting techniques and tools, and you'll get hands-on experience with working on real-world data science projects. This course will help you build a strong foundation in data science consulting and prepare you for a career in this field.
Data Science Manager
Data Science Manager
The Data Scientist Capstone course will help prepare you for a management role in the field of data science. This course will teach you the skills you need to lead and manage a team of data scientists, and you'll learn about the latest trends and technologies in data science. This course will help you build a strong foundation in data science management and prepare you for a career in this field.
Operations Research Analyst
Operations Research Analyst
The Data Scientist Capstone course may be useful for those looking to enter the field of Operations Research. This course will help you develop the skills you need to analyze and solve business problems using mathematical and analytical techniques. You'll learn about a variety of operations research techniques and tools, and you'll get hands-on experience with working with real-world data. This course will help you build a strong foundation in operations research and prepare you for a career in this field.
Statistician
Statistician
The Data Scientist Capstone course may be useful for those looking to enter the field of Statistics. This course will help you develop the skills you need to collect, analyze, and interpret data. You'll learn about a variety of statistical techniques and tools, and you'll get hands-on experience with working with real-world data. This course will help you build a strong foundation in statistics and prepare you for a career in this field.
Software Engineer
Software Engineer
The Data Scientist Capstone course may be useful for those looking to enter the field of Software Engineering. This course will help you develop the skills you need to design, build, and test software applications. You'll learn about a variety of software engineering techniques and tools, and you'll get hands-on experience with working on real-world software projects. This course will help you build a strong foundation in software engineering and prepare you for a career in this field.
Data Analyst
Data Analyst
The Data Scientist Capstone course may be useful for those looking to enter the field of Data Analysis. This course will help you develop the skills you need to collect, clean, analyze, and visualize data. You'll learn about a variety of data analysis techniques and tools, and you'll get hands-on experience with working with real-world data. This course will help you build a strong foundation in data analysis and prepare you for a career in this field.
Financial Analyst
Financial Analyst
The Data Scientist Capstone course may be useful for those looking to enter the field of Financial Analysis. This course will help you develop the skills you need to analyze financial data and make recommendations for investments. You'll learn about a variety of financial analysis techniques and tools, and you'll get hands-on experience with working with real-world data. This course will help you build a strong foundation in financial analysis and prepare you for a career in this field.
Risk Analyst
Risk Analyst
The Data Scientist Capstone course may be useful for those looking to enter the field of Risk Analysis. This course will help you develop the skills you need to analyze and manage risk. You'll learn about a variety of risk analysis techniques and tools, and you'll get hands-on experience with working with real-world data. This course will help you build a strong foundation in risk analysis and prepare you for a career in this field.
Data Engineer
Data Engineer
The Data Scientist Capstone course may be useful for those looking to enter the field of Data Engineering. This course will help you develop the skills you need to build and maintain data systems. You'll learn about a variety of data engineering techniques and tools, and you'll get hands-on experience with working with real-world data. This course will help you build a strong foundation in data engineering and prepare you for a career in this field.
Quantitative Analyst
Quantitative Analyst
The Data Scientist Capstone course may be useful for those looking to enter the field of Quantitative Analysis. This course will help you develop the skills you need to analyze and interpret financial data. You'll learn about a variety of quantitative analysis techniques and tools, and you'll get hands-on experience with working with real-world data. This course will help you build a strong foundation in quantitative analysis and prepare you for a career in this field.
Actuary
Actuary
The Data Scientist Capstone course may be useful for those looking to enter the field of Actuarial Science. This course will help you develop the skills you need to assess and manage risk. You'll learn about a variety of actuarial techniques and tools, and you'll get hands-on experience with working with real-world data. This course will help you build a strong foundation in actuarial science and prepare you for a career in this field.
Market Researcher
Market Researcher
The Data Scientist Capstone course may be useful for those looking to enter the field of Market Research. This course will help you develop the skills you need to collect, analyze, and interpret market data. You'll learn about a variety of market research techniques and tools, and you'll get hands-on experience with working with real-world data. This course will help you build a strong foundation in market research and prepare you for a career in this field.
Machine Learning Engineer
Machine Learning Engineer
The Data Scientist Capstone course may be useful for those looking to enter the field of Machine Learning Engineering. This course will help you develop the skills you need to design, build, and deploy machine learning models. You'll learn about a variety of machine learning algorithms and techniques, and you'll get hands-on experience with building and training models. This course will help you build a strong foundation in machine learning and prepare you for a career in this field.
Business Analyst
Business Analyst
The Data Scientist Capstone course may be useful for those looking to enter the field of Business Analysis. This course will help you develop the skills you need to analyze business data and make recommendations for improvements. You'll learn about a variety of business analysis techniques and tools, and you'll get hands-on experience with working with real-world data. This course will help you build a strong foundation in business analysis and prepare you for a career in this field.
For more career information including salaries, visit:
OpenCourser.com/course/j2l40y/data
Reading list
We've selected 12 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
Data Scientist Capstone.
Will serve as a strong introduction to various Data Science concepts, tools, and techniques. Suitable as a foundational reference or to provide context for the course's topics.
Save
Will serve as a strong introduction to Machine Learning, which is important as a foundational skill in Data Science. Suitable as a foundational reference or to provide context for the course's topics.
Will serve as a good reference for some of the tools and technologies used in the course. Suitable as a supplemental reference for certain topics.
Save
Will serve as a useful reference for Deep Learning, a subfield of Machine Learning used in many real-world applications. Suitable as a supplemental reference for certain topics.
Save
Suitable as a supplemental reference for certain topics in the course.
Suitable as a supplemental reference for certain topics in the course.
Save
Suitable as a supplemental reference for certain topics in the course.
Save
Suitable as a supplemental reference for certain topics in the course.
Suitable as a supplemental reference for certain topics in the course.
Suitable as a supplemental reference for certain topics in the course.
Suitable as a supplemental reference for certain topics in the course.
Suitable as a supplemental reference for certain topics in the course.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/j2l40y/data
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