This class provides an introduction to the Python programming language and the iPython notebook. This is the third course in the Genomic Big Data Science Specialization from Johns Hopkins University.
Este curso forma parte de Programa Especializado - Genomic Data Science
ofrecido por
Programa Especializado - Genomic Data ScienceUniversidad Johns HopkinsAcerca de este Curso
90,228 vistas recientes
Resultados profesionales del estudiante
40%
comenzó una nueva carrera después de completar estos cursos
33%
consiguió un beneficio tangible en su carrera profesional gracias a este curso
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Curso 3 de 8 en
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Aprox. 6 horas para completar
Inglés (English)
Subtítulos: Inglés (English)
Habilidades que obtendrás
BioinformaticsBiopythonPython ProgrammingGenomics
Resultados profesionales del estudiante
40%
comenzó una nueva carrera después de completar estos cursos
33%
consiguió un beneficio tangible en su carrera profesional gracias a este curso
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Curso 3 de 8 en
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Aprox. 6 horas para completar
Inglés (English)
Subtítulos: Inglés (English)
ofrecido por
Universidad Johns Hopkins
The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
Programa - Qué aprenderás en este curso
2 horas para completar
Week One
This week we will have an overview of Python and take the first steps towards programming.
2 horas para completar
5 videos (Total 58 minutos), 3 lecturas, 2 cuestionarios
5 videos
Lecture 2.1 - First Steps Toward Programming Part 110m
Lecture 2.2 - First Steps Toward Programming Part 215m
Lecture 2.3 - First Steps Toward Programming Part 3 (8:57)8m
Lecture 2.4 - First Steps Toward Programming Part 4 (9:58)9m
3 lecturas
Welcome10m
Pre-Course Survey10m
Syllabus10m
2 ejercicios de práctica
Lecture 1 Quiz6m
Lecture 2 Quiz24m
1 hora para completar
Week Two
In this module, we'll be taking a look at Data Structures and Ifs and Loops.
1 hora para completar
4 videos (Total 50 minutos)
4 videos
Lecture 3.2: Data Structures Part 2 (10:41)10m
Lecture 4.1: Ifs and Loops Part 1 (11:26)11m
Lecture 4.2: Ifs and Loops Part 2 (15:28)15m
2 ejercicios de práctica
Lecture 3 Quiz20m
Lecture 4 Quiz20m
1 hora para completar
Week Three
In this module, we have a long three-part lecture on Functions as well as a 10-minute look at Modules and Packages.
1 hora para completar
4 videos (Total 38 minutos)
4 videos
Lecture 5.2: Functions Part 2 (8:20)8m
Lecture 5.3: Functions Part 3 (13:24)13m
Lecture 6: Modules and Packages (10:32)10m
2 ejercicios de práctica
Lecture 5 Quiz20m
Lecture 6 Quiz12m
2 horas para completar
Week Four
In this module, we have another long three-part lecture, this time about Communicating with the Outside, as well as a final lecture about Biopython.
2 horas para completar
4 videos (Total 46 minutos), 2 lecturas, 3 cuestionarios
4 videos
Lecture 7.2: Communicating with the Outside Part 2 (7:38)7m
Lecture 7.3: Communicating with the Outside Part 3 (17:42)17m
Lecture 8: Biopython (13:32)13m
2 lecturas
Final Exam Instructions10m
Post Course Survey10m
3 ejercicios de práctica
Lecture 7 Quiz10m
Lecture 8 Quiz10m
Final Exam (Read Instructions First)20m
Revisiones
Principales revisiones sobre PYTHON FOR GENOMIC DATA SCIENCE
por AD14 de jun. de 2020
This course teaches you basics only, but when the questions are asked in the quiz they are no where related to what has been taught, and the level of difficulty of those questions is really high.
por SM28 de abr. de 2020
The lectures were very good. However, the final exam was poor with unclear instructions on how to solve the questions. Also, the final exam questions and the lectures were not very related.
por KR16 de jul. de 2018
A very good course for its length and the amount of time it requires. It improved my python skills and knowledge of Genomics. I'm more engaged in my pursuits than before taking the course.
por MK13 de dic. de 2016
Started very easy, but became quite hard at the end. Nicely structured and conveyes everything that is needed. However, sometimes I missed why specific tools have been used and not others.
Acerca de Programa especializado: Genomic Data Science
With genomics sparks a revolution in medical discoveries, it becomes imperative to be able to better understand the genome, and be able to leverage the data and information from genomic datasets. Genomic Data Science is the field that applies statistics and data science to the genome.
This Specialization covers the concepts and tools to understand, analyze, and interpret data from next generation sequencing experiments. It teaches the most common tools used in genomic data science including how to use the command line, along with a variety of software implementation tools like Python, R, Bioconductor, and Galaxy.
This Specialization is designed to serve as both a standalone introduction to genomic data science or as a perfect compliment to a primary degree or postdoc in biology, molecular biology, or genetics, for scientists in these fields seeking to gain familiarity in data science and statistical tools to better interact with the data in their everyday work.
To audit Genomic Data Science courses for free, visit https://www.coursera.org/jhu, click the course, click Enroll, and select Audit. Please note that you will not receive a Certificate of Completion if you choose to Audit.
Preguntas Frecuentes
When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
What is the refund policy?
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Is financial aid available?
Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.
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