Bioinformatics Specialization
Bioinformatics Specialization Training Courses | new era of Bioinformatics, become the next leader by learning foundational skills
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About the program
Bioinformatics is an interdisciplinary stream that blends computer science and biology to analyze, test, and visualize data for biological and medical purposes. Bioinformatics is being recognized as one of the in-demand and career-promising tracks, with a vast spectrum of micro-specialties and a variety of applications in academic research and the industry including pharmaceutics and biotechnology. Speaking of the professional side of this stream, these 99 hours of expert-led training specialization was designed in collaboration with researchers, academics, and leads in the field from well-known and highly reputable entities. Therefore, students will have the opportunity to be exposed to theoretical and practical knowledge throughout hands-on training sessions. Hence, they are expected to acquire such market-based skills as well as to learn trendy use cases when interpreting them through their final projects to serve real purposes.
What will you learn
This cohort includes 99+ training hours to be covered over 16 weeks, using different instructional methods, led by Ph.D. holders and leads in the niche.
Over 70% of this specialization is based on instructor-led training method of teaching, you will have the chance to engage with peers and direct contact with your teacher.
Enrolling in this specialization will take you on a learning path along 3 phases over 4 months. Your first month full will let you gain the basics of the know-how of doing some analysis and programming with python. Additionally, to get a rooted understanding of molecular biology. Your journey next moves to learn the core concepts and use cases of bioinformatics, within the next 2-3 months of the spectrum, you will meet your teacher in weekly live sessions and follow up with your teaching assistants. You will be weekly assigned to a hands-on task to leverage knowledge gained during these sessions. Students also will be working on their capstone projects during the last 2 months of this cohort. Besides the capstone project, you'll also need to complete a final exam as a comprehensive post-assessment.
Phase I: Initial Courses
20 credits
Python for Bioinformatics - Prerequisite course
- Learn the foundation of Python programming
- Get familiar with Numpy & Pandas-Learn to import, manipulate and visualize data
- Learn and apply different types of testing and analysis to bio-related & medical dataset
- Learn and apply Linux command line basics
Molecular Biology - Prerequisite course
- Sufficient understanding of genetics and molecular biology
- Recognition of the biological concepts and terms needed in bioinformatics, such as genes, proteins, DNA, RNA, and so on.
Phase II: Core Courses
64 credits
Bioinformatics I: Broad foundation of the essentials
- The ability to locate bioinformatic data and information in public resources
- Performing basic statistical analysis for biological problems
- Performing gene expression clustering analysis
- Performing gene enrichment analysis
- Performing differential expression analysis
Bioinformatics II: Next-generation sequencing deep dive
- Hands-on analysis of next-generation sequencing (NGS) data from raw format, (WGS) and RNA-seq data
- Visualization of genomes and genomic tracks in the genome browser
Bioinformatics III: An outlook over advanced topics
- Understanding of the drug discovery pipeline and the role of bioinformatics in it
- Appreciation of the value, scope, and power of integrating clinical data with omic data
- Recognition of the special analysis applicable to collections of genomes (e.g. meta-genomics)
- Acknowledgement of the power and application of the collective analysis of multiple omic datasets
Phase III: Capstone Project
15 credits
Real-world project
Participants will be required to put the theoretical and practical skills that they learned in a final project in which they will analyze real biological data. This will be a good chance to incorporate different bioinformatic concepts learned throughout the course in a single project serving a real purpose.
$75–$95k
The range of yearly salaries for bioinformaticians with Python, R, statistics, data mining, data visualization, and a strong understanding of molecular biology.
Over 3000
Bioinformatics job offers are available worldwide to date.
Deliverables
Meet your instructors
A lead bioinformatician who's aspiring to develop and apply the next generation of bioinformatics, data science, artificial intelligence, and machine learning to facilitate leveraging multiomic data in order to address the critical problems facing pharmaceutical industry, mainly the drug discovery.
A Tenured Professor at HU, Jordan. Earned her Ph.D. in molecular biology from the University of Iowa. Dr. Rana has a great history full of many honorable achievements & awards, and she's a visiting professor at Cambridge &Yale universities.
A Principal Data Scientist at the Janssen Pharmaceutical companies of Johnson& Johnson, working on developing & applying machine learning methods for analyzing noisy complex biological data.
Chairman at Phi, graduated from the school of medicine in 2017 and afterward decided to dedicate his efforts to developing products and launching start-ups in biotech, bioinformatics, and deep-tech education. He is a science passionate and a communicator of science and technology.
What our students say
It was a very distinctive experience, especially as it was being led by the expert Dr. Basel Abu Jamous in this multidisciplinary field. I highly recommend anyone interested in acing this science to join such a practical course since bioinformatics is one of the promising fields nowadays.
A very informative introductory course to the field of bioinformatics. It covers the main steps you need to go thru in a typical pipeline of bioinformatics analysis and in a hands-on type of instruction, which adds a lot to the learning experience. The instructor was knowledgeable and super friendly.
Tuition & Financing
- Pay on monthly basis as you go through this specialization
- Full specialization with all deliverables and Instructor’s support.
- Save extra 22% vs. monthly subscription
- Full specialization with all deliverables and Instructor’s support.
FAQs
I'm not experienced at programming, can I apply?
You don't need to be knowledgeable in any programming language (otherwise it's a plus). Once you enroll in this training program, you will get free access to the Datacamp platform to learn the preliminaries of coding in Python. Your mentor will meet you in a live session weekly to check your progress. Remember, the more practicing you do, the faster at scale you will set apart in this job market.
Can I skip a certain course?
Not exactly, you can only waive courses in the initial phase (prerequisites kit). We recommend you to apply and join these foundational courses, to learn the basic components before digging deep into the advanced level since the whole curriculum is designed following the synoptic methodology so you are allowed to waive these courses upon your responsibility if the submitted documents met the criteria. (Read more in the student guide)
Is this program accredited?
This specialization program is non-academia recognized. Our Bioinformatics professional training kit is designed and developed in collaboration with industrial leads in the field, learning outcomes and the curriculum are articulated to meet the market-based and in-demand skillset in such vacancies globally and regionally. Once completed the program, you will be qualified to apply for entry-level jobs in the field.
Who this course is suitable for?
This course is ideally suited for those who are striving to start their career path in Bioinformatics. No specific disciplines are precisely fit for this specialization, nor a certain required experience. However, students who are expected to achieve high results are those who have graduated from STEM, medical, and Life Sciences fields, and juniors who are already pursuing a position in such fields.
Is financial aid available?
As part of paying back to our society, Phi is glad to provide up to 2 full scholarships for any of its specializations.
Please submit your application form. Moreover, you can get your early-bird registration discount when enrolling in any of the announced programs 2 weeks at least before the kick-off day.
How long is each course?
1 month. Each course will include instructor-led sessions, held weekly for over 4 weeks.
What are the ILT sessions?
Instructor-led training. In which students can engage synchronously with the teacher, they are totally privileged, in contacting their instructors and learning from their expertise directly. ILT classes will include hands-on practices in terms of maximizing knowledge retention.
How can I communicate with the instructor?
You can ask your questions during the lecture, or even contact the teacher on Phi’s LMS or by their emails. You can also connect with your TAs during the week.
Very fruitful experience in a promising topic. Dr. Basel had effectively defined the right framework and amazingly delivered the theoretical and practical knowledge in the hands-on training sessions. I do absolutely recommend it for beginners since its comprehensive curriculum and the covered topics are good enough to start with on this track without being lost!