The knowledge for the new century

Bioinformatics for everyone

Bootcamps

Computational Biology for Software Developers

Schedule

$1995

Total 64 hours

Date

Timing

Coming soon

Mon. to Thu. 6 pm to 8 pm

Register Interest

Upcoming

Python for Life Sciences

We are in “The Era of Python”. The Python programming language is the backbone of science. This course is directed towards life science professionals without software development experience who wants to learn how to code to make their own programs. Learn how to manipulate DNA sequence in batch, integrate information from different sources, make web applications, No previous experience with Python or coding is required.

Biology today is where information technology was 50 years ago: on the precipice of touching all of our lives. This course will teach you the basis of molecular biology and associated software needed to work in bioinformatics. If you are a software developer who want to know more about genetics so you can work alongside life science professionals solving biological problems, this is the right course.

$1995

Schedule

Date

Timing

Total 64 hours

Coming soon

Mon. to Thu. 6 pm to 8 pm

Upcoming

Location

Downtown San Francisco

Location

Downtown San Francisco

Register Interest

Online courses

NoSQL Databases with MongoDB

Master all NoSQL concepts needed to design and use this type of databases. You will learn how to perform CRUD (Create, Read, Update and Delete) operations in MongoDB. All examples will be in Python and Javascript. Your previous knowledge of SQL databases (like MySQL or PostgreSQL), will be used to help you understand the NoSQL equivalents.

Learn how to automate integration tests using Selenium and Python. Selenium is the most used automation tool. This course teaches how to design your tests around the POM (Page Object Model), how to reach any object on a web page, how to handle typical issues to make reliable tests and how to apply the best practices for automation.

Test Automation for Python Developers with Selenium

Jupyter Notebook has become the standard tool among data scientists, since it can be used as a powerful tool for interactive data exploration and visualization. This course shows how to create reproducible workflows, the use of useful add-ons and how to make interactive widgets to allow not-technical users to collaborate using the notebooks you create.

Using Jupyter Notebooks

$99

$99

$99

Duration

Lectures

Duration

Duration

Lectures

Lectures

8 hours

25 lectures

8 hours

25 lectures

6 hours

20 lectures

Coming soon

Coming soon

Coming soon

Python Software developer with a major in Molecular Genetics. More than 12 years of experience with professional software development. Contributed to open source software projects in regular basis. Author of “Python for Bioinformatics”. His experience includes development of high performance projects. He is a Certified Solutions Architect. In his spare time he writes haikus inspired by classic video games.

Biotechnologist with a major in Molecular Genetics. Bioinformatics specialist. It was part of Latin America Solanaceae Genome Project and lecturer at the Quilmes National University (UNQ). She was featured as one of ten innovators of 2013 for the Brando magazine. Former Globant Labs Director, an innovation space where new technologies are explored, directing different projects. Fascinated by science and education, loves cycling.

Instructors

Virginia González

Sebastián Bassi

Register to get more information

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