I was also agreeing with the follow on paragraph: “ While predictive analytics are well developed, much less progress has been made on causal (attribution) analysis. Commercial predictive analytics tends to focus on what happened, or is predicted to happen (. click rates on web sites), with much less attention to why outcomes change in response to variations in inputs (. the wording or visual presentation of an on–line message). From the evaluation perspective, a limitation of predictive analysis is that it is not normally based on a theoretical framework, such as a theory of change, which explains the process through which outcomes are likely to be achieved. This is an area where there is great potential for collaboration between big data analytics and current impact evaluation methodologies ” My approach to connecting these two types of analysis is explained on the EvalC3 website . This involves connecting cross-case analysis (using predictive analytics tools, for example) to within-case analysis (using process tracing or simpler tools, for example) through carefully thought though case selection and comparison strategies.
I found the key skills aspect of the course very beneficial for my CV in applying for PhD studentships. It provided me with greater confidence in going into interviews knowing that I had the skills necessary to undertake a PhD as well as the theoretical understanding. The taught aspect of the course was very rewarding as together with the small size of our course we were able to discuss issues and theories in a relaxed environment gaining greater understanding. The 6th month research project was also very useful as it allowed me to explore a new area of research and provided me with the platform on which to attempt a PhD. I am now going to do a PhD in Edinburgh, studying sexual conflict in seed bugs, and combining lab work in winter with field work in Italy in summer. If you think that you want to do a PhD but would like to explore more biology first to gain a broader foundation, I thoroughly recommend doing an MSc.
Data ScienceTech Institute in France has a part-time International Executive MSc in Applied Data Science & Big Data that is delivered online in a format the school refers to as a small private online course program. Courses include pre-recorded material as well as live video meetings with instructors. Information is organized into modules covering information systems, applied data science and big data, business and industrial applications, ethics and law, and engineering projects. Applicants should have a four-year degree with relevant work experience. Classes are available in English, with students entering the program in October or March. Students can complete the program in 18 months. Graduates are prepared to take two certification exams: AWS Certified Solutions Architect - Associate and SAS Enterprise Miner.