Data Science Certification From Harvard University (Edx) Review
What you will learn
- Cardinal R programming skills
- Statistical concepts such as probability, inference, and modeling and how to use them in do
- Gain experience with the tidyverse, including data visualization with ggplot2 and data wrangling with dplyr
- Become familiar with essential tools for practicing data scientists such every bit Unix/Linux, git and GitHub, and RStudio
- Implement machine learning algorithms
- In-depth cognition of fundamental information scientific discipline concepts through motivating real-world case studies
The demand for skilled data science practitioners in industry, academia, and government is rapidly growing. The HarvardX Data Science program prepares you with the necessary knowledge base and useful skills to tackle real-earth information analysis challenges. The plan covers concepts such equally probability, inference, regression, and machine learning and helps you develop an essential skill set that includes R programming, data wrangling with dplyr, information visualization with ggplot2, file organization with Unix/Linux, version control with git and GitHub, and reproducible document preparation with RStudio.
In each course, we utilise motivating example studies, ask specific questions, and learn by answering these through data assay. Case studies include: Trends in World Wellness and Economics, Usa Law-breaking Rates, The Financial Crisis of 2007-2008, Election Forecasting, Building a Baseball game Team (inspired past Moneyball), and Pic Recommendation Systems.
Throughout the program, nosotros volition exist using the R software environs. Y'all will acquire R, statistical concepts, and information analysis techniques simultaneously. We believe that you can better retain R noesis when you learn how to solve a specific trouble.
Skilful instruction
9 skill-building courses
Cocky-paced
Progress at your ain speed
1 year v months
2 - iii hours per week
Discounted toll: $792.80
Pre-discounted toll:
USD
For the full program experience
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HarvardX'southward Data Scientific discipline Professional Certificate
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1–2 hours per calendar week, for 8 weeks
Build a foundation in R and learn how to wrangle, clarify, and visualize information.
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1–2 hours per week, for 8 weeks
Larn basic data visualization principles and how to apply them using ggplot2.
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1–2 hours per calendar week, for eight weeks
Learn probability theory -- essential for a data scientist -- using a case study on the financial crisis of 2007-2008.
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1–2 hours per week, for 8 weeks
Learn inference and modeling, two of the most widely used statistical tools in data analysis.
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ane–2 hours per week, for 8 weeks
Keep your projects organized and produce reproducible reports using GitHub, git, Unix/Linux, and RStudio.
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i–2 hours per calendar week, for 8 weeks
Learn to procedure and catechumen raw data into formats needed for assay.
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1–ii hours per calendar week, for viii weeks
Acquire how to use R to implement linear regression, one of the most mutual statistical modeling approaches in data science.
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2–4 hours per week, for 8 weeks
Build a motion picture recommendation organisation and learn the science backside one of the nigh pop and successful data science techniques.
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xv–xx hours per calendar week, for 2 weeks
Show what yous've learned from the Professional Certificate Program in Information Scientific discipline.
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This plan was supported in part by NIH grant R25GM114818.
HarvardX requires individuals who enroll in its courses on edX to abide by the terms of the edX honor code. HarvardX volition take appropriate corrective action in response to violations of the edX honor code, which may include dismissal from the HarvardX form; revocation of any certificates received for the HarvardX course; or other remedies every bit circumstances warrant. No refunds will be issued in the example of corrective action for such violations. Enrollees who are taking HarvardX courses as office of another program volition likewise be governed past the academic policies of those programs.
HarvardX pursues the science of learning. By registering as an online learner in an HX course, you will also participate in research almost learning. Read our research statement to learn more.
Harvard University and HarvardX are committed to maintaining a condom and healthy educational and work environment in which no member of the community is excluded from participation in, denied the benefits of, or subjected to discrimination or harassment in our program. All members of the HarvardX community are expected to abide by Harvard policies on nondiscrimination, including sexual harassment, and the edX Terms of Service. If you have whatever questions or concerns, please contact harvardx@harvard.edu and/or report your feel through the edX contact class.
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- R is listed as a required skill in 64% of data science job postings and was Glassdoor'due south Best Chore in America in 2016 and 2017. (source: Glassdoor)
- Companies are leveraging the power of information analysis to drive innovation. Google information analysts use R to rail 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 total-time data scientists started learning motorcar learning or data science through a MOOC, while 27% were self-taught. (source: Kaggle, 2017)
- Data Scientists are few in number and loftier in demand. (source: TechRepublic)
Meet your teacher
from Harvard University (HarvardX)
Experts from HarvardX committed to educational activity online learning
Enrolling Now
Discounted toll: $792.80
Pre-discounted price:
USD
9 courses in 1 yr 5 months
Pursue the Program
FAQs
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We recommend that yous take the courses in the lodge in which they announced on this site: https://world wide web.edx.org/professional-document/harvardx-data-science
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You are welcome to beginning with one form at a time until you stop them all.
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There are no prerequisites for the first course, but the later courses assume knowledge from the prior courses in the series.
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In full general, new course runs of all ix courses launch in Jan and July.
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No, you can consummate the courses across multiple course runs.
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No, grade progress does not carry over across grade runs.
Whether you are looking to accelerate your career, earn a degree, or larn something for personal reasons, edX has the courses for you.
Propelling
Bulldoze your career frontward with university-backed credit programs and verified certificates
Convenient
Study and demonstrate knowledge on your schedule
Flexible
Try a course before yous pay
Supportive
Learn with academy partners and peers from around the world
Source: https://www.edx.org/professional-certificate/harvardx-data-science
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