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Data Scientist Capstone

Josh Bernhard , Mike Yi, Judit Lantos, David Drummond, Andrew Paster, Juno Lee, and Luis Serrano

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Bootcamp level quality

Complete hands-on projects and get personalized feedback with Udacity.

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Syllabus

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Reviews summary

Real-world data science project application

According to learners, this course is an excellent opportunity to apply foundational data science skills to a real-world project, making it essential for building a professional portfolio. Students praise the emphasis on practical application and the flexibility in choosing project topics, which fosters self-directed learning. However, some find the open-ended nature and minimal instructor guidance challenging, leading to a need for significant independent problem-solving. The course is best suited for those who are highly self-driven and comfortable with less structured environments, providing a solid end-to-end data science workflow experience. The peer review process is often highlighted as a valuable aspect.

Best suited for learners with existing data science foundations.

"The expectation seemed to be that I already knew how to do everything, which isn't the point of a learning experience. If you're not an expert already, you'll struggle."

"Not suitable for anyone needing structure."

"This course delivered what it promised, which is a capstone. So, I needed to have all my fundamentals strong before starting it."

Requires significant independence due to its open-ended nature.

"The open-ended nature was challenging but ultimately rewarding, pushing me to problem-solve independently."

"The self-directed learning approach forces you to think like a data scientist."

"I managed to finish, but it took a lot of independent struggle."

"Expected more structured guidance for a 'capstone' project. It felt more like 'here's a vague idea, go figure it out.'"

The peer review process is highlighted as a strong support mechanism.

"The guidance on selecting a relevant project and the peer review process were incredibly valuable."

"The peer reviews were surprisingly effective for getting diverse feedback."

"Forum support from fellow students was generally good."

The course excels in providing real-world project experience.

"This capstone was an excellent opportunity to apply everything I've learned... I appreciate the emphasis on practical application."

"Absolutely essential for anyone serious about becoming a Data Scientist... I now have a solid portfolio piece to show potential employers."

"The course delivers on its promise of a project-based learning experience. I gained confidence in tackling an end-to-end data science problem."

Direct instructor feedback and presence are often reported as minimal.

"I struggled with getting started and felt like the support from instructors was minimal."

"I wished there was more direct instructor feedback on the projects rather than relying heavily on peer reviews."

"Disappointed with the lack of direct instruction and feedback. It's too hands-off for a course. I felt lost most of the time."

"The forum discussions were active, but instructor presence was lacking."

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

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Gain valuable insights and guidance by connecting with experienced data science professionals.

Browse courses on Mentorship

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Identify potential mentors
Reach out and request mentorship

Discuss Data Science Concepts

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Enhance understanding and broaden perspectives by discussing data science concepts with peers.

Browse courses on Data Science Concepts

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Form a study group with peers
Select topics for discussion
Meet regularly and have discussions

Explore Data Analytics Tools

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Enhance understanding of data analytics tools and techniques by exploring hands-on tutorials and resources.

Browse courses on Data Analytics Tools

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Identify and select suitable tools
Complete tutorials and exercises
Experiment with different techniques

Three other activities

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Attend a Data Science Workshop

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Gain practical experience and insights by attending a data science workshop led by industry experts.

Browse courses on Data Analytics

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Research and identify relevant workshops
Register and attend the workshop

Design and Implement a Data Science Solution

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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

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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

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Strengthen problem-solving skills and deepen understanding of data science algorithms and techniques.

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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

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.

See salaries and explore the career path for Data Scientist

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.

See salaries and explore the career path for Data Science Consultant

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.

See salaries and explore the career path for Data Science Manager

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.

See salaries and explore the career path for Business Analyst

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.

See salaries and explore the career path for Statistician

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.

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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.

See salaries and explore the career path for Financial 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.

See salaries and explore the career path for Risk Analyst

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.

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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.

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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.

See salaries and explore the career path for Quantitative Analyst

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.

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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.

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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.

See salaries and explore the career path for Machine Learning Engineer

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.

See salaries and explore the career path for Data Analyst

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.

Data Science from Scratch

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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.

Data Science from Scratch: First Principles with...

Paperback

Data Science from Scratch: First Principles with...

Kindle Edition

Data Science from Scratch: First Principles with...

Paperback

Drawing Codes

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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.

Drawing Codes: Experimental Protocols of...

Hardcover

Hands-On Machine Learning with Scikit-Learn, Keras,...

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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.

Hands-On Machine Learning with Scikit-Learn, Keras,...

Paperback

Hands-On Machine Learning with Scikit-Learn, Keras,...

Paperback

$$$

Hands-On Machine Learning with Scikit-Learn, Keras,...

Kindle Edition

Deep Learning

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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.

Deep Learning

Paperback

$$$

Deep Learning (Adaptive Computation and Machine...

Hardcover

$$$

Deep Learning (Adaptive Computation and Machine...

Kindle Edition

$$$

Data Mining

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Suitable as a supplemental reference for certain topics in the course.