Data Analysis for Genomics

Drive your career forward

This HarvardX professional certificate program gives learners the necessary skills and knowledge to tackle real-world data analysis challenges.

Featuring faculty from:
4 months
2-4 hours per week
Certificate Price
$788.40 $876
Start the Data Science for Genomics Professional Certificate Series Today

What You'll Learn

Advances in genomics have triggered fundamental changes in medicine and research. Genomic datasets are driving the next generation of discovery and treatment, and this series will enable you to analyze and interpret data generated by modern genomics technology.

Using open-source software, including R and Bioconductor, you will acquire skills to analyze and interpret genomic data. These courses are perfect for those who seek advanced training in high-throughput technology data. Problem sets will require coding in the R language to ensure mastery of key concepts. In the final course, you’ll investigate data analysis for several experimental protocols in genomics.

Enroll now to unlock the wealth of opportunities in modern genomics.

The course will be delivered via edX and connect learners around the world. After completing this series, you will understand how to:

  • Bridge diverse genomic assay and annotation structures to data analysis and research presentations via innovative approaches to computing
  • Use advanced techniques to analyze genomic data.
  • Structure, annotate, normalize, and interpret genome-scale assays.
  • Analyze data from several experimental protocols, using open-source software, including R and Bioconductor.

Courses in this Program

2–4 hours per week, for 4 weeks
The structure, annotation, normalization, and interpretation of genome scale assays.

2–4 hours per week, for 5 weeks
Perform RNA-Seq, ChIP-Seq, and DNA methylation data analyses, using open source software, including R and Bioconductor.

2–4 hours per week, for 4 weeks
Learn advanced approaches to genomic visualization, reproducible analysis, data architecture, and exploration of cloud-scale consortium-generated genomic data.

Your Instructor

Rafael Irizarry

Rafael Irizarry

Professor of Biostatistics at Harvard University
Read full bio.

Michael Love

Michael Love

Assistant Professor, Departments of Biostatistics and Genetics at UNC Gillings School of Global Public Health
Read full bio.

Vincent Carey

Vincent Carey

Professor, Medicine at Harvard Medical School
Read full bio.

Job Outlook

  • R is listed as a required skill in 64% of data science job postings and was Glassdoor’s Best Job in America in 2016 and 2017. (source: Glassdoor)
  • Companies are leveraging the power of data analysis to drive innovation. Google data analysts use R to track trends in ad pricing and illuminate patterns in search data. Pfizer created customized packages for R so scientists can manipulate their own data.
  • 32% of full-time data scientists started learning machine learning or data science through a MOOC, while 27% were self-taught. (source: Kaggle, 2017)
  • Data Scientists are few in number and high in demand. (source: TechRepublic)

Ways to take this program

When you enroll in this program, you will register for a Verified Certificate for all 3 courses in the Professional Certificate Series. 

Alternatively, learners can Audit the individual course for free and have access to select course material, activities, tests, and forums. Please note that Auditing the courses does not offer course or program certificates for learners who earn a passing grade.