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Get Ready for Data Science at Harvard

Hoping to study data science at Harvard? DataCamp can help you build your data skills across a range of disciplines.

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  • Practice and apply your skills

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Popular Courses for Harvard Students

Introduction to Data Science in Python

Dive into data science using Python and learn how to effectively analyze and visualize your data. No coding experience or skills needed.

Clock4 hours
Hillary Green-Lerman Headshot

Hillary Green-Lerman

Lead Data Scientist, Looker

Supervised Learning with scikit-learn

Grow your machine learning skills with scikit-learn in Python. Use real-world datasets in this interactive course and learn how to make powerful predictions!

Clock4 hours
George Boorman Headshot

George Boorman

Core Curriculum Manager, DataCamp

Introduction to Statistics

Learn how to explore, visualize, and extract insights from data.

Clock4 hours
George Boorman Headshot

George Boorman

Core Curriculum Manager, DataCamp

Correlation and Regression in R

Learn how to describe relationships between two numerical quantities and characterize these relationships graphically.

Clock4 hours
Ben Baumer Headshot

Ben Baumer

Assistant Professor at Smith College

Introduction to Linear Modeling in Python

Explore the concepts and applications of linear models with python and build models to describe, predict, and extract insight from data patterns.

Clock4 hours
Jason Vestuto Headshot

Jason Vestuto

Data Scientist, University of Texas at Austin

Machine Learning for Everyone

An introduction to machine learning with no coding involved.

Clock2 hours
Hadrien Lacroix Headshot

Hadrien Lacroix

Curriculum Manager at DataCamp

Prepare to Study Data Science at Harvard

A concentration in statistics under the data science track is perfect for undergraduate students interested in studying data science at Harvard. For this concentration, undergraduate students must fulfill certain requirements, including enrolling in classes in the following areas: statistics, computer science, calculus, and linear algebra.

Graduate applicants will also be required to fulfill prerequisites, which include proficiency in at least one programming language such as R or Python.

DataCamp’s courses, learning resources, and workspace create a fantastic online environment for applicants of all levels looking forward to developing their data science skills. With our DataCamp Workspace, learners can track their progress and data science projects into a portfolio - ready to be showcased when applying. 

Moreover, our assessments (also available through our certifications) are great to ensure you are ready and confident for your Harvard Data Science application.

Practice your Data Skills

With over 380 courses in different programming languages, including Python, R, SQL, Power BI, and Tableau, DataCamp is a great way to master your data science skills. DataCamp provides both Skill and Career Tracks that are excellent for those with specific goals in mind. 

For those interested in exploring their skills beyond data science, DataCamp provides courses in Data Analysis, Data Visualization, Machine Learning, and Data Engineering.

Work with Real Datasets

DataCamp Projects is a great way to challenge your data science skills as learners are given the flexibility to explore and use real-world data as they like. Depending on your goals, DataCamp provides both guided and unguided projects. In Projects, you can apply your skills using tools like Jupyter Notebook and analyze data in a risk-free environment.

There are 83 projects to choose from, including datasets from various fields. You’ll have the chance to analyze data such as COVID-19 cases globally (healthcare), the Bitcoin Cryptocurrency Market, and even data from the mobile game, Candy Crush Saga.

Gain Sharable Statements of Accomplishments

Every course you complete on DataCamp is rewarded with a shareable Statement of Accomplishment. These can be shared with your network or as part of your Harvard data science application to show your progress in various subject areas.

As Harvard data science applicants, our data scientist certificates can help you fast-track your data science skills. You can equip yourself with the necessary skills essential to your degree and demonstrate the knowledge you’ve learned along the way.

Compile Your Own Portfolio

DataCamp Workspace is a great way to store your projects and explored datasets into a portfolio. You can then share your portfolio when showcasing your data science skills, such as when interviewing at universities. Moreover, Workspace’s cloud-based environment allows you to collaborate with others to explore real-world datasets. 

DataCamp Workspace also provides templates that give you pre-written code to conduct data analysis more efficiently. And if you want to go a step further, the cloud-based environment also allows users to analyze their own connected data via Integrations. The collaborative and extensive learning environment makes DataCamp Workspace the perfect environment to prepare for your Harvard Data Science application.

Harvard Data Science FAQs

Is Harvard good for data science?

Harvard’s high ranking in data science illustrates the university’s outstanding reputation in the respective field. According to QS Top Universities and Edurank, Harvard ranks second highest in data science. Specifically, their graduate course offered in the School of Engineering and Applied Sciences, consistently ranks top 5 in different online university rankings.

Can DataCamp support my studies at Harvard?

DataCamp’s comprehensive approach to learning can be of significant support to your studies at Harvard. Here at DataCamp, we have taught and provided over 10 million DataCamp learners with courses in different programming languages, including Python and R. 

Our courses are for everyone from beginners to experts, with differing interests and goals. Additionally, our latest certifications for data analysis and data science are a great way to boost your resume when applying to Harvard Data Science courses.

Ready to learn?

With our online learning platform, you take an array of courses across different competency levels, all at your own pace. If you’re preparing for your data science journey at Harvard, DataCamp is here to help.

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