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Rafael Irizarry
To become an expert data scientist you need practice and experience. By completing this capstone project you will get an opportunity to apply the knowledge and skills in R data analysis that you have gained throughout the series. This final project will test your skills in data visualization, probability, inference and modeling, data wrangling, data organization, regression, and machine learning.
Read more
To become an expert data scientist you need practice and experience. By completing this capstone project you will get an opportunity to apply the knowledge and skills in R data analysis that you have gained throughout the series. This final project will test your skills in data visualization, probability, inference and modeling, data wrangling, data organization, regression, and machine learning.
Read more
To become an expert data scientist you need practice and experience. By completing this capstone project you will get an opportunity to apply the knowledge and skills in R data analysis that you have gained throughout the series. This final project will test your skills in data visualization, probability, inference and modeling, data wrangling, data organization, regression, and machine learning.
Unlike the rest of ourProfessional Certificate Program in Data Science, in this course, you will receive much less guidance from the instructors. When you complete the project you will have a data product to show off to potential employers or educational programs, a strong indicator of your expertise in the field of data science.
Register for this course and see more details by visiting:
OpenCourser.com/course/rkm8wx/data
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What's inside
Learning objectives
- How to apply the knowledge base and skills learned throughout the series to a real-world problem
- How to independently work on a data analysis project
- How to apply the knowledge base and skills learned throughout the series to a real-world problem
- How to independently work on a data analysis project
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Aimed at advanced learners, this course requires learners to be highly proficient in R and data analysis concepts. The foundational courses in the series should be completed first
Teaches skills that are essential for professionals in the field of data science
Diving deeply into real-world issues, this course challenges learners to complete a data science project showcasing their proficiencies
Provides hands-on, practical experience through the creation of a data-driven product
Save this course
Save Data Science: 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 Science: Capstone with these
activities:
Read 'Introduction to Statistical Learning'
Show steps
Deepen your understanding of statistical learning techniques by reading this introductory textbook.
View
An Introduction to Statistical Learning: with...
on Amazon
Show steps
Review probability and inference
Show steps
Review the fundamentals of probability and inference to strengthen your foundation for the course.
Browse courses on
Probability
Show steps
-
Revisit probability axioms and theorems
-
Review conditional probability and Bayes' theorem
-
Practice applying probability distributions
-
Examine statistical inference concepts
Collaborate on data visualization projects
Show steps
Enhance your data visualization skills by working collaboratively with peers and providing constructive feedback.
Browse courses on
Data Visualization
Show steps
-
Form small groups
-
Select a dataset and develop a visualization plan
-
Create and present visualizations
-
Provide and receive feedback
Four other activities
Expand to see all activities and additional details
Show all seven activities
Solve data wrangling challenges
Show steps
Engage in practical exercises to enhance your proficiency in data wrangling techniques.
Browse courses on
Data Wrangling
Show steps
-
Load and explore datasets
-
Clean and transform data
-
Handle missing values and outliers
-
Merge and join datasets
-
Optimize data for analysis
Explore unsupervised learning techniques
Show steps
Expand your knowledge of machine learning by exploring unsupervised learning techniques and their applications.
Browse courses on
Unsupervised Learning
Show steps
-
Identify different unsupervised learning algorithms
-
Implement clustering algorithms
-
Apply dimensionality reduction techniques
-
Evaluate the performance of unsupervised models
Build a regression model
Show steps
Demonstrate your understanding of regression by creating a predictive model using real-world data.
Browse courses on
Regression
Show steps
-
Define the problem and gather data
-
Clean and prepare the data
-
Train and evaluate the regression model
-
Interpret and communicate the results
Write a blog post on a data science topic
Show steps
Demonstrate your understanding of data science concepts by writing a blog post that educates others.
Show steps
-
Choose a data-related topic
-
Research and gather information
-
Write and edit the blog post
-
Publish and promote the blog post
Read 'Introduction to Statistical Learning'
Show steps
Deepen your understanding of statistical learning techniques by reading this introductory textbook.
View
An Introduction to Statistical Learning: with...
on Amazon
Show steps
Show steps
Show steps
Review probability and inference
Show steps
Review the fundamentals of probability and inference to strengthen your foundation for the course.
Browse courses on
Probability
Show steps
Show steps
Show steps
- Revisit probability axioms and theorems
- Review conditional probability and Bayes' theorem
- Practice applying probability distributions
- Examine statistical inference concepts
Collaborate on data visualization projects
Show steps
Enhance your data visualization skills by working collaboratively with peers and providing constructive feedback.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Form small groups
- Select a dataset and develop a visualization plan
- Create and present visualizations
- Provide and receive feedback
Four other activities
Expand to see all activities and additional details
Show all seven activities
Solve data wrangling challenges
Show steps
Engage in practical exercises to enhance your proficiency in data wrangling techniques.
Browse courses on
Data Wrangling
Show steps
Show steps
Show steps
- Load and explore datasets
- Clean and transform data
- Handle missing values and outliers
- Merge and join datasets
- Optimize data for analysis
Explore unsupervised learning techniques
Show steps
Expand your knowledge of machine learning by exploring unsupervised learning techniques and their applications.
Browse courses on
Unsupervised Learning
Show steps
Show steps
Show steps
- Identify different unsupervised learning algorithms
- Implement clustering algorithms
- Apply dimensionality reduction techniques
- Evaluate the performance of unsupervised models
Build a regression model
Show steps
Demonstrate your understanding of regression by creating a predictive model using real-world data.
Browse courses on
Regression
Show steps
Show steps
Show steps
- Define the problem and gather data
- Clean and prepare the data
- Train and evaluate the regression model
- Interpret and communicate the results
Write a blog post on a data science topic
Show steps
Demonstrate your understanding of data science concepts by writing a blog post that educates others.
Show steps
Show steps
Show steps
- Choose a data-related topic
- Research and gather information
- Write and edit the blog post
- Publish and promote the blog post
Career center
Learners who complete Data Science: Capstone will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
The Data Science: Capstone course offered by Harvard University is ideal for aspiring Data Scientists. It provides you with the opportunity to apply the knowledge and skills you've gained throughout the series to a real-world problem. Through this course, you'll build a strong foundation in data visualization, probability, inference and modeling, data wrangling, data organization, regression, and machine learning. With the completion of this program, you'll have a data product that you can showcase, highlighting your expertise in the field and increasing your chances of success in this role.
Data Analyst
Data Analyst
If you're interested in a career as a Data Analyst, the Data Science: Capstone course from Harvard University is an excellent choice. This course will equip you with the skills necessary to work independently on data analysis projects. You'll learn how to apply the knowledge base and skills you've gained throughout the series to real-world problems. By completing this course, you'll be able to demonstrate your proficiency in data analysis and increase your chances of success in this field.
Machine Learning Engineer
Machine Learning Engineer
The Data Science: Capstone course offered by Harvard University can be a valuable asset for aspiring Machine Learning Engineers. This course provides hands-on experience in applying machine learning techniques to real-world problems. You'll gain a strong foundation in data visualization, probability, inference and modeling, data wrangling, data organization, regression, and machine learning. By completing this course, you'll be able to demonstrate your proficiency in machine learning and increase your chances of success in this field.
Data Engineer
Data Engineer
For individuals seeking a career as a Data Engineer, the Data Science: Capstone course offered by Harvard University can be beneficial. This course provides a strong foundation in data wrangling, data organization, and data management. You'll learn how to work with large datasets and develop efficient data pipelines. By completing this course, you'll gain the skills necessary to succeed in this field and increase your chances of success as a Data Engineer.
Business Analyst
Business Analyst
The Data Science: Capstone course from Harvard University can be a valuable asset for those aspiring to become Business Analysts. This course will provide you with the skills necessary to analyze and interpret data, identify trends and patterns, and communicate insights to stakeholders. By completing this course, you'll gain the knowledge and skills to succeed in this field and increase your chances of success as a Business Analyst.
Software Engineer
Software Engineer
The Data Science: Capstone course from Harvard University can be beneficial for individuals interested in a career as a Software Engineer. This course will provide you with a strong foundation in data structures, algorithms, and software development. By completing this course, you'll gain the skills necessary to succeed in this field and increase your chances of success as a Software Engineer.
Statistician
Statistician
The Data Science: Capstone course from Harvard University can be a valuable asset for aspiring Statisticians. This course will provide you with a strong foundation in probability, inference, and modeling. By completing this course, you'll gain the skills necessary to succeed in this field and increase your chances of success as a Statistician.
Financial Analyst
Financial Analyst
The Data Science: Capstone course from Harvard University may be useful for individuals interested in a career as a Financial Analyst. This course will provide you with a strong foundation in data analysis, modeling, and forecasting. By completing this course, you'll gain the skills necessary to succeed in this field and increase your chances of success as a Financial Analyst.
Operations Research Analyst
Operations Research Analyst
The Data Science: Capstone course from Harvard University may be useful for individuals interested in a career as an Operations Research Analyst. This course will provide you with a strong foundation in optimization, simulation, and decision-making. By completing this course, you'll gain the skills necessary to succeed in this field and increase your chances of success as an Operations Research Analyst.
Actuary
Actuary
The Data Science: Capstone course from Harvard University may be useful for individuals interested in a career as an Actuary. This course will provide you with a strong foundation in probability, statistics, and modeling. By completing this course, you'll gain the skills necessary to succeed in this field and increase your chances of success as an Actuary.
Data Architect
Data Architect
The Data Science: Capstone course from Harvard University may be useful for individuals interested in a career as a Data Architect. This course will provide you with a strong foundation in data management, data integration, and data governance. By completing this course, you'll gain the skills necessary to succeed in this field and increase your chances of success as a Data Architect.
Database Administrator
Database Administrator
The Data Science: Capstone course from Harvard University may be useful for individuals interested in a career as a Database Administrator. This course will provide you with a strong foundation in database management, data security, and data recovery. By completing this course, you'll gain the skills necessary to succeed in this field and increase your chances of success as a Database Administrator.
Business Intelligence Analyst
Business Intelligence Analyst
The Data Science: Capstone course from Harvard University may be useful for individuals interested in a career as a Business Intelligence Analyst. This course will provide you with a strong foundation in data analysis, data visualization, and data storytelling. By completing this course, you'll gain the skills necessary to succeed in this field and increase your chances of success as a Business Intelligence Analyst.
Quantitative Analyst
Quantitative Analyst
The Data Science: Capstone course from Harvard University may be useful for individuals interested in a career as a Quantitative Analyst. This course will provide you with a strong foundation in financial modeling, data analysis, and risk management. By completing this course, you'll gain the skills necessary to succeed in this field and increase your chances of success as a Quantitative Analyst.
Market Researcher
Market Researcher
The Data Science: Capstone course from Harvard University may be useful for individuals interested in a career as a Market Researcher. This course will provide you with a strong foundation in data collection, data analysis, and data interpretation. By completing this course, you'll gain the skills necessary to succeed in this field and increase your chances of success as a Market Researcher.
For more career information including salaries, visit:
OpenCourser.com/course/rkm8wx/data
Reading list
We've selected 15 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 Science: Capstone.
Is an excellent resource for learners who want to gain a deeper understanding of the statistical foundations of machine learning. It covers a wide range of topics, from basic concepts to advanced techniques.
Classic text on statistical learning. It provides a comprehensive overview of the field and valuable resource for learners who want to gain a deep understanding of the theoretical foundations of data science.
Classic text on reinforcement learning. It provides a comprehensive overview of the field and valuable resource for learners who want to gain a deep understanding of the theoretical foundations of reinforcement learning.
Provides a comprehensive overview of causal inference. It valuable resource for learners who want to gain a deeper understanding of the theoretical foundations of causal inference.
Provides a comprehensive overview of interpretable machine learning. It valuable resource for learners who want to gain a deeper understanding of the theoretical foundations of interpretable machine learning.
Provides a practical guide to machine learning for hackers. It valuable resource for learners who want to learn how to apply machine learning techniques to real-world problems.
Provides a hands-on introduction to data science from scratch. It valuable resource for learners who want to learn how to apply data science techniques to real-world problems.
Provides a fascinating look at the history and future of machine learning. It valuable resource for learners who want to gain a deeper understanding of the field and its potential impact on society.
Save
Provides a comprehensive guide to data science with R. It valuable resource for learners who want to learn how to use R to apply data science techniques to real-world problems.
Save
Provides a practical guide to data mining techniques. It valuable resource for learners who want to learn how to apply data science techniques to real-world problems.
Provides a hands-on introduction to machine learning with R. It valuable resource for learners who want to learn how to use R to apply data science techniques to real-world problems.
Save
Comprehensive guide to deep learning. It covers a wide range of topics, from the basics of deep learning to advanced techniques. It valuable resource for learners who want to gain a deep understanding of the field.
Provides a comprehensive overview of data science techniques and their applications in business. It valuable resource for learners who want to gain a deeper understanding of the field and its practical applications.
Provides a comprehensive guide to data analysis with Python. It valuable resource for learners who want to learn how to use Python to apply data science techniques to real-world problems.
Provides a gentle introduction to data science. It valuable resource for learners who want to gain a basic understanding of the field and its applications.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/rkm8wx/data
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Effort
15 to 20 hours per week for 2 weeks
Level
Introductory
Via
edX
Institution
Harvard University
Instructor
Rafael Irizarry
Sessions
October 16, 2024
- June 18, 2025
April 17, 2024
- December 18, 2024
Language
English
Transcript
English
This course belongs to a
collection
called
Data Science. It's comprised of nine courses:
Good to know
Aimed at advanced learners, this course requires learners to be highly proficient in R and data analysis concepts. The foundational courses in the series should be completed first
Teaches skills that are essential for professionals in the field of data science
Diving deeply into real-world issues, this course challenges learners to complete a data science project showcasing their proficiencies
Provides hands-on, practical experience through the creation of a data-driven product
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