Clinical Trial Data Analysis - Using MS SQL and Power BI

Data science career is one of the fast-moving career opportunities that will enable you to WFH, flexible working and most importantly earn big money as well. When many high street jobs are winding up due to the current crisis, a lot of data science opportunities are springing up. The aim of data analysis in clinical trial is to enhance transparency in drug development process and to ensure that clinical trials/drug development are in line with policies and standards set up by clinical regulatory agencies e.g. in the UK - Medicine and Health Products Regulatory Agency (MHRA) and in the US - Food and Drug Administration (FDA), etc.

A raw data can be very frustrating and confusing to many businesses leading to loss of insights that would have generate profit, but passing the same raw data through analysis using different analytical tools will eventually bring out different insights that will in turn boost performance of the same business or operations and that is where data science comes in to help.

Facilitator:

Godspower Onwuka is a Senior Business Intelligence Developer with over 5 years cumulative experience in both financial services, digital marketing and pharmaceuticals. A data passion driven person with commitment to timely and excellent deliverables. He has worked in different projects including redesigning of excel dashboards into Power BI reports and templates, Data governance,  Testing and Troubleshooting of clinical data analysis systems(Teradata, MySQL, Medidata CTMS, Medidata RAVE_CTMS, Collibra), Data Migration/Integration into various systems.

Course Outline:

• Data Transformation 
• Data Mapping
• Data import into MS SQL for analysis.
• Data Mining (Patient screening during trial using conditional syntax, etc)
• Clinical data integration
• Data Visualisation using Power BI. 

Who should attend?

This is an introductory session for those who are keen to learn on how data analysis course are implemented in many key industries and explore opportunities for a career in this field.

Follow-up details:

After the training, participants will be provided with information about additional courses and support available through the Baseline Careers Network,