Missing data can have a major impact on the work we do. The software you use probably already has a ‘treatment’ for missing data by default, but is it the right one? In this webinar, we go over the types of missing data, and why we need to name them to be able to decide how to treat them. We also cover the 6 questions you should ask yourself to become a pro at handling missing data, and review the impacts of different treatments on your results.
All IoA members can use the installation-free Data Camp environments to build, practice and test your skills in Data Camp. We have two custom built tracks to allow you to ensure your training is on course to fulfil your career goals. We’ve recommended two tracks of knowledge and analytics study aligned to all of the 7 first years in the Data Competency Framework.
Which Track is for me?
Business analyst with R: This track will take you through spreadsheet skills and BI tools in the early years, and build up your coding skills to use R environments in the later years with more challenging data projects.
Python analyst: This track goes straight into Python coding and will take you all the way to working with unstructured data and deep learning techniques.
Look for the track name and year when you search for a course.
With our custom tracks, we’ve selected the skills that we know employers are looking for but remember that you can also take any of the 300 courses and assessments and projects any time you want and add that to your CPD records, too. You can find a post discussing the aims and structure of the tracks here
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