What did you like the most about the training?:
I liked the fact that we were all the time busy programming, so I had to focus the whole time.
Katarzyna Hutnik - University of Oxford, Department of Oncology
|statsres||Statistics for Researchers||35 hours||
This course aims to give researchers an understanding of the principles of statistical design and analysis and their relevance to research in a range of scientific disciplines.
It covers some probability and statistical methods, mainly through examples. This training contains around 30% of lectures, 70% of guided quizzes and labs.
In the case of closed course we can tailor the examples and materials to a specific branch (like psychology tests, public sector, biology, genetics, etc...)
In the case of public courses, mixed examples are used.
Though various software is used during this course (Microsoft Excel to SPSS, Statgraphics, etc...) its main focus is on understanding principles and processes guiding research, reasoning and conclusion.
This course can be delivered as a blended course i.e. with homework and assignments.
Scientific Method, Probability & Statistics
Preparation for research (deciding "what" and "how")
Describing Bivariate Data
Logic of Hypothesis Testing
Analysis of selected case studies
|geneticsint||Introduction to Genetics||14 hours||
This course has been created for people who want to make reasonable decisions related to genetics, e.g.:
It can be helpful for people who simply want to understand how genetics works.
It is a more narrative course in terms of the story, starting from the very origin of life and explaining how our genetic code has evolved over time and how can we trace the ancestry of human evolution.
Using the story of evolution, the trainer introduces you into scientific lingo and explains the workings of genes, DNA and RNA, heredity and natural selection.
The lecture is intertwined with simple exercises, quizzes and tests to make sure you understood the concepts and facts.
This course does not cover moral, political or religious point of view of genetics, but presents confirmed facts, not theories or conjectures.
How an organism work
Brief history of homo sapiens
Genetics and the Industry
|drugdsg||Drug Design||21 hours||
This course has been created for people who want to understand the basics of structural bioinformatics including protein-ligand docking and virtual screening, i.e.:
This course is more like a workshop. The trainer introduces theoretical bases as well as basic pipeline for structure modeling and molecular interactions.
Structural databases and formats
|mdlbiostruct||Modeling of Biological Structures||21 hours||
This is a practical workshop, which will introduce basics of molecular modelling of proteins, RNA and DNA. It is well suited for people with biological background, with knowledge in molecular biology, who want to learn how to predict 3D structures of proteins, RNA and DNA molecules.
It is especially suitable for:
The course is divided into theoretical and practical parts. The lecture is interwoven with simple practical exercises, quizzes and tests to make sure attendees understand the concepts.
During the training you will be taught how to use software dedicated for building 3D models. Furthermore, we will show how to improve and assess models.
During the course we will present various software and different approaches used in novel structure modelling techniques. Our aim is to facilitate your understanding of modelling principles, reasoning and structure-based conclusion making process.
By the end of the course you will be able to prepare a 3D structure model of protein, RNA or DNA molecules of reasonable standard.
|progbio||Programming for Biologists||28 hours||
This is a practical course, which shows why programming is a powerful tool in the context of solving biological problems. During the course participants will be taught the Python programming language, a language widely considered both powerful as well as easy to use. This course might be considered as a demonstration how bioinformatics improves biologists lives.
The course is designed and aimed for people without computer science background who want to learn programming.
This course is suited for:
By the end of the course, participants will be able to write short programs, which will allow them to manipulate, analyse and deal with biological data and present results in a graphical format.
Introduction to the Python programming language
Working with protein and RNA/DNA sequences
Parsing data in different biological formats
Running biological analyses
Dealing with biological 3D structures using Python
Python facilitates statistical analysis
Working with .xls and .csv files
Using Python to create an automated data processing pipeline
|sccomm||Scientific Communication||14 hours||
During this workshop participants will be familiarised with basics of scientific communication including ways of preparing presentations, short articles and posters promoting scientific results. The theoretical course is interwoven with simple practical exercises, quizzes and tests to make sure that participants understand the concepts.
During the training you will be taught how to present your results in a comprehensible and interesting way. By the end of the course you will be able to deliver a memorable speech and create a presentation that will be remembered.
The course has been designed for people who want to learn how to present their work in an interesting, clear, understandable and memorable way.
It has been designed especially for:
|bioinfbas||Basics of Bioinformatics||21 hours||
This is a practical workshop, which will introduce basics of bioinformatics. It is aimed at people with basic biological background and knowledge in molecular biology, who want to learn how to process and work with biological data using computational tools. It has been designed especially for:
The course is divided into two parts: theoretical and practical. The lecture is interwoven with simple practical exercises, quizzes and tests to make sure that attendees understand the concepts.
During the training we will take you along a guided tour that covers all the basic aspects of biological data analysis. This workshop is an ideal opportunity to get familiar with bioinformatics and its many faces! At the end, you should be able to tackle any basic bioinformatics problem: you will know where to get the required data from, how to obtain relevant information and how basic software and algorithms work. Our aim is to facilitate your understanding of biological data.
By the end of the course you will be able to work with biological data using bioinformatics tools.
|mgmint||Introduction to Microbial Genomics & Metagenomics||21 hours||
This course will provide an introduction to microbial genomics. The content is intended to provide a basic hands-on training on data analysis, tools and resources for microbial bioinformatics and metagenomics.
Who are expected to attend?
Format of the course
The course will highlight key web-based resources, approaches and methodologies for DNA sequence data analysis for microbial genomics.
|Course||Venue||Course Date||Course Price [Remote / Classroom]|
|Assertiveness||UT, Salt Lake City - 222 Main||Tue, Oct 24 2017, 9:30 am||$1723 / $3143|
|Statistical Thinking for Decision Makers||KY, Louisville – Ormsby III Forest Green||Thu, Oct 26 2017, 9:30 am||$2025 / $3275|
|Linux LPI LPIC-1 Exam 102 Preparation||CA, Sunnyvale - Downtown Sunnyvale||Thu, Nov 30 2017, 9:30 am||$3544 / $5244|
|IoT (Internet of Things) for Entrepreneurs, Managers and Investors||NH, Nashua – One Tara Boulevard||Wed, Feb 7 2018, 9:30 am||$6840 / $9450|
|Hadoop for Developers (2 days)||NM, Albuquerque – Two Park Square Center||Thu, Feb 8 2018, 9:30 am||$3015 / $5035|