Data Analysis Week

Data Analysis Week

2-4 March 2020 at Homerton College in Cambridge, UK
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ABOUT
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Scientists are collecting more data than ever. Data Analysis Week consists of intensive courses, each 1-Day long, focused on analysing various data types collected in life science research. Each course will provide lectures and workshops on data collection, data processing and data analysis. There will be elements of machine learning in all courses.

List of courses in Data Analysis Week:

Day 1: Monday 2nd March 2020
Processing and Analysis of Biological Image Data

Day 2: Tuesday 3rd March 2020
Machine Learning for Modelling and Analysis of Medical Data

Day 3: Wednesday 4th March 2020
Where to Start with Coding for Data Analysis in Life Sciences

Day 4: Wednesday 5th March 2020
Analysis of Next Generation Sequencing Data

Click the corresponding tab below for more information on each course. You can add the courses you want to attend  to your cart and redeem a multi-purchase discount at checkout with the following coupon codes:
10% discount for 2 courses: DATA10COMB2
15% discount for 3 courses: DATA15COMB3
20% discount for 4 courses: DATA20COMB4
Premium Members also get an exclusive 10% discount (more on memberships here).
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ABOUT
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Scientists are collecting more data than ever, from high-throughput screening to quantitative image analysis. Imaging is one way of gathering useful information. Manual analysis of this data can take a painstakingly long time from several days to months. Automation can provide a valuable way of speeding up this process as well as removing bias. Processing images in the correct way is essential for ensuring the data and results are accurate. This course will take you on a journey from acquisition of images to analysing the data.

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LEARNING OBJECTIVES
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1. To have a clear understanding of the image analysis pipeline

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2. Understand how to prepare images ready for analysis

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3. To use ImageJ and Fiji more effectively to analyse your data

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4. To have an understanding of machine learning and neural networks

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Lectures will give participants the necessary background knowledge.

Interactive workshops will take participants through the pipeline of microscopy image preparation using a number of programs. This pipeline will include:

a. Computer vision essentials
b. Segmentation
c. Restoration
d. Reconstruction

Q&A Clinics are designed to allow participants to specifically address any of their own project challenges

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OTHER INFORMATION
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IMPORTANT: Don’t forget to bring your laptop for interactive sessions.

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For any queries please email courses@cambioscience.com

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PARTNERS
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Interested in being a partner for this course? Please email courses@cambioscience.com

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INSTRUCTORS
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Mr Charles N. Christensen

PhD Student, Chemical Engineering and Biotechnology Department, University of Cambridge

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Dr Dari Kimanius

Postdoctoral Researcher, MRC-LMB, University of Cambridge

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PROGRAMME
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Programme Coming Soon.

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POSTER
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Poster Coming Soon.

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REGISTRATION DETAILS
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Pricing below is for each 1-Day course in Data Analysis Week. Please click the "Register" button below to add each day ticket to your cart and use the coupons listed at the top of the page to redeem your multi-purchase discount at checkout.

MEMBERS DISCOUNT:

Premium members get an automatic 10% discount at checkout on pricing indicated below. Become a premium member here.

Tickets until 24.01.20 Academia Industry
Course £503.00 £349.00 +VAT £1006.00 £689.00 +VAT

Tickets until 14.02.20 Academia Industry
Course £503.00 £419.00 +VAT £1006.00 £838.00 +VAT

Tickets until 01.03.20 Academia Industry
Course £503.00 +VAT £1006.00 +VAT

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Register

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Ticket includes: course materials, instruction from expert instructors, hot lunch, and refreshments.

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ABOUT
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Rapid technological developments in clinical medicine yield large amount of complex heterogeneous data on different scales – from molecular and genomic to clinical and radiological data. This course will introduce you to the basics of data analysis, machine learning and the tools available for analysing such data. Using bioinformatics and machine learning you will learn to integrate, model and analyse various types of data to address clinical-based hypotheses.

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LEARNING OBJECTIVES
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On this course you will:

1. Have a clear understanding of the pipeline from hypothesis to evaluation of data

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2. Know how to characterise and analyse the data

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3. Understand the difference between supervised and unsupervised machine learning tasks

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4. Understand interpretable data analysis

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Lectures will give participants the necessary background knowledge.

Interactive workshops will allow participants to work through pre-prepared data and learn about different approaches:

a. Exploratory Data Analysis
b. Supervised and unsupervised approaches for addressing common clinical-based challenges
i. Classification/Regression eg. with Random Forest, (Deep) Neural Networks etc.
ii. Clustering
c. Evaluation and analysis of the findings.

Q&A Clinics are designed to allow participants to specifically address any of their own project challenges

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OTHER INFORMATION
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IMPORTANT: Don’t forget to bring your laptop for interactive sessions.

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For any queries please email courses@cambioscience.com

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PARTNERS
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Interested in being a partner for this course? Please email courses@cambioscience.com

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INSTRUCTORS
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Dr Nikola Simidjievski

Postdoctoral Researcher (Lab of Professor Pietro Lio),
Department of Computer Science and Technology, University of Cambridge, UK

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Miss Helena Andres Terre

PhD Student (Lab of Professor Pietro Lio), Department of Computer Science and Technology, University of Cambridge, UK

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PROGRAMME
.

Programme Coming Soon.

.
POSTER
.

Poster Coming Soon.

.
REGISTRATION DETAILS
.

Pricing below is for each 1-Day course in Data Analysis Week. Please click the "Register" button below to add each day ticket to your cart and use the coupons listed at the top of the page to redeem your multi-purchase discount at checkout.

MEMBERS DISCOUNT:

Premium members get an automatic 10% discount at checkout on pricing indicated below. Become a premium member here.

Tickets until 24.01.20 Academia Industry
Course £503.00 £349.00 +VAT £1006.00 £689.00 +VAT

Tickets until 14.02.20 Academia Industry
Course £503.00 £419.00 +VAT £1006.00 £838.00 +VAT

Tickets until 01.03.20 Academia Industry
Course £503.00 +VAT £1006.00 +VAT

.

Register

.

Ticket includes: course materials, instruction from expert instructors, hot lunch, and refreshments.

.
.

.
.
ABOUT
.

Scientists are collecting more data than ever, from high-throughput screening to quantitative image analysis. Manual analysis of this data can take a painstakingly long time from several days to months. Automation can provide a valuable way of speeding up this process as well as removing bias.

.

Many of our research questions can be specific and unique. Coding can provide a way of developing your own tailored data pipeline to answer these questions. But, where do you start when you have a complex problem with lots of data that needs analysing? There are many programs and languages to use and this course will provide a way of navigating the coding landscape.

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LEARNING OBJECTIVES
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On this course you will:

1. Understand and generate a data analysis pipeline

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2. Be able to identify when programming is useful for analysis and/or further experiments/comparisons (e.g. modelling)

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3. Become familiar with 2 programming interfaces (e.g. Python and MATLAB) and general differences

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4. ‘Choose your language’: make an informed decision about which language to use to answer your research question

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Lectures will give participants the necessary background knowledge. Build a workflow from the research questions to the analysis of data.

Interactive workshops will allow participants to work through pre-prepared data and learn about different coding programmes

a. Which language for which problem
b. Different interfaces of software.

Q&A Clinics are designed to allow participants to specifically address any of their own project challenges

.
OTHER INFORMATION
.

IMPORTANT: Don’t forget to bring your laptop for interactive sessions.

.

For any queries please email courses@cambioscience.com

.
PARTNERS
.

Interested in being a partner for this course? Please email courses@cambioscience.com

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INSTRUCTORS
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Miss Jessica Forsyth

PhD Student, Lab of Dr Berenika Plusa, University of Manchester

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PROGRAMME
.

Programme Coming Soon.

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POSTER
.

Poster Coming Soon.

.
REGISTRATION DETAILS
.

Pricing below is for each 1-Day course in Data Analysis Week. Please click the "Register" button below to add each day ticket to your cart and use the coupons listed at the top of the page to redeem your multi-purchase discount at checkout.

MEMBERS DISCOUNT:

Premium members get an automatic 10% discount at checkout on pricing indicated below. Become a premium member here.

Tickets until 24.01.20 Academia Industry
Course £503.00 £349.00 +VAT £1006.00 £689.00 +VAT

Tickets until 14.02.20 Academia Industry
Course £503.00 £419.00 +VAT £1006.00 £838.00 +VAT

Tickets until 01.03.20 Academia Industry
Course £503.00 +VAT £1006.00 +VAT

.

Register

.

Ticket includes: course materials, instruction from expert instructors, hot lunch, and refreshments.

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ABOUT
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Next Generation Sequencing (NGS) is used to describe high-throughput functional genomic sequencing from a variety of datasets including RNAseq, ChIPseq and ATACseq. NGS has revolutionised genomic research allowing genomic sequencing to become much quicker and cheaper. Therefore, researchers are producing more data than ever. This NGS course has been designed to help you understand how to analyse and interpret your NGS data in the most efficient way.

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LEARNING OBJECTIVES
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On this course you will:

  1. Gain a clear understanding of the format of raw data files and datasets used for next generation sequencing
  2. Learn how to align short reads to the reference genome
  3. Learn how to interpret biological data generated by next generation sequencing
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Lectures will give participants the necessary background knowledge into methods used for analysis of next generation sequencing data.

Interactive practical sessions will take participants through the pipeline of NGS analysis. Participants will work through pre-prepared data from understanding the raw data to functional applications.

-  Learn how to use FASTQC for sequence quality checking, cutadapt for artefact removal and STAR aligner.

-  Perform Read Counting (using Rsubread), Batch Effects (SVA), Normalization (CPM/TPM vs RPKM) and Differential Expression Analysis (DEseq vs EdgeR)

-  Learn to use Ontology enrichment, pathway and network analysis methods

Q&A Clinics are designed to allow participants to specifically address any of their own project challenges.

.
OTHER INFORMATION
.

IMPORTANT: Don’t forget to bring your laptop for interactive sessions.

.

For any queries please email courses@cambioscience.com

.
PARTNERS
.

Interested in being a partner for this course? Please email courses@cambioscience.com

.
.
INSTRUCTORS
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Dr. Shamith Samarajiwa

Group Leader, MRC Cancer Unit, University of Cambridge

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.
PROGRAMME
.

Programme Coming Soon.

.
POSTER
.

Poster Coming Soon.

.
REGISTRATION DETAILS
.

Pricing below is for each 1-Day course in Data Analysis Week. Please click the "Register" button below to add each day ticket to your cart and use the coupons listed at the top of the page to redeem your multi-purchase discount at checkout.

MEMBERS DISCOUNT:

Premium members get an automatic 10% discount at checkout on pricing indicated below. Become a premium member here.

Tickets until 24.01.20 Academia Industry
Course £503.00 £349.00 +VAT £1006.00 £689.00 +VAT

Tickets until 14.02.20 Academia Industry
Course £503.00 £419.00 +VAT £1006.00 £838.00 +VAT

Tickets until 01.03.20 Academia Industry
Course £503.00 +VAT £1006.00 +VAT

.

Register

.

Ticket includes: course materials, instruction from expert instructors, hot lunch, and refreshments.

.
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