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Data Science

Capstone

Rafael Irizarry

4.5

Based on 60 ratings

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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.

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.

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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

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what should give you pause

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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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Reviews summary

Practical r data science capstone

According to learners who undertake this course, the Data Science: Capstone is a highly practical experience, designed to help students apply R data analysis skills to a real-world problem. Many appreciate the opportunity to independently work on a data analysis project, culminating in a valuable data product for their portfolio. However, the explicit emphasis on less instructor guidance can be a significant challenge for some, requiring a strong foundation from the preceding courses.

Assumes thorough understanding of prior course material.

"Make sure you've mastered the previous courses; this capstone builds heavily on that foundation."

"Coming into this, I realized I needed to review a lot of earlier concepts to keep up."

"This isn't a standalone course; it requires a solid background in R and data analysis."

Fosters self-sufficiency in data analysis.

"I really developed my ability to work on a data analysis project independently, which is crucial for my career."

"The lack of hand-holding forced me to dig deeper and learn problem-solving on my own."

"This capstone truly tests your ability to apply concepts without constant guidance, just like in a real job."

Creates a concrete asset for career advancement.

"Having a completed data product to show potential employers is invaluable for job interviews."

"I finally have a tangible piece of work demonstrating my skills in R data science."

"This project significantly boosted my confidence in presenting my data analysis capabilities."

Limited instructor support demands significant self-study.

"The 'less guidance' aspect is no joke; you really need to be self-driven to succeed here."

"I found the reduced instructor interaction challenging, especially when hitting complex roadblocks."

"Be prepared to troubleshoot on your own; this course is not for those needing constant supervision."

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'

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Deepen your understanding of statistical learning techniques by reading this introductory textbook.

View An Introduction to Statistical Learning: with... on Amazon

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Review probability and inference

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Review the fundamentals of probability and inference to strengthen your foundation for the course.

Browse courses on Probability

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Revisit probability axioms and theorems
Review conditional probability and Bayes' theorem
Practice applying probability distributions
Examine statistical inference concepts

Collaborate on data visualization projects

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Enhance your data visualization skills by working collaboratively with peers and providing constructive feedback.

Browse courses on Data Visualization

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Form small groups
Select a dataset and develop a visualization plan
Create and present visualizations
Provide and receive feedback

Four other activities

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Solve data wrangling challenges

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Engage in practical exercises to enhance your proficiency in data wrangling techniques.

Browse courses on Data Wrangling

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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

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Expand your knowledge of machine learning by exploring unsupervised learning techniques and their applications.

Browse courses on Unsupervised Learning

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Identify different unsupervised learning algorithms
Implement clustering algorithms
Apply dimensionality reduction techniques
Evaluate the performance of unsupervised models

Build a regression model

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Demonstrate your understanding of regression by creating a predictive model using real-world data.

Browse courses on Regression

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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

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Demonstrate your understanding of data science concepts by writing a blog post that educates others.

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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

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.

See salaries and explore the career path for Data Scientist

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.

See salaries and explore the career path for Data Analyst

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.

See salaries and explore the career path for Machine Learning 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.

See salaries and explore the career path for Data Engineer

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.

See salaries and explore the career path for Business Analyst

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.

See salaries and explore the career path for Software Engineer

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.

See salaries and explore the career path for Statistician

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.

See salaries and explore the career path for Financial 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.

See salaries and explore the career path for Operations Research Analyst

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.

See salaries and explore the career path for Actuary

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.

See salaries and explore the career path for Data Architect

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.

See salaries and explore the career path for Database Administrator

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.

See salaries and explore the career path for Business Intelligence 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.

See salaries and explore the career path for Quantitative Analyst

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.

See salaries and explore the career path for Market Researcher

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.

An Introduction to Statistical Learning

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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.

An Introduction to Statistical Learning: with...

Hardcover

$$$

The Elements of Statistical Learning

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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.

The Elements of Statistical Learning: Data Mining,...

Hardcover

$$$

The Elements of Statistical Learning: Data Mining,...

Hardcover

$$$

The Elements of Statistical Learning: Data Mining,...

Kindle Edition

$$$

Reinforcement Learning, second edition

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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.

Reinforcement Learning, second edition: An...

Hardcover

$$$

Reinforcement Learning, second edition: An...

Kindle Edition

$$$

Causal Inference in Statistics

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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.

Data Science

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Learning objectives

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Reviews summary

Practical r data science capstone

Activities

Career center

Reading list

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