Analytics & Data Science for managers & humanitarians

* * Professional Course in Analytics for humanitarians* * Main methods for hidden regularities and patterns findings.

Created by: Nikita Sergeev
МВА. Data Science & Analytics. OD. Project Management.

What Will I Learn?

• The main fundamentals of Statistics that need to know for practical issues solutions
• Calculate sample size
• Simple find hidden regularities (patterns) in data
• Analyze big data files
• Understand importance to combine intuition with data analysis
• Step-by-step use most popular data science methods for humanitarian with your own hands
• Modern statistical methods in practice and real-life data of business-cases .
• ***OFFICIAL*** simple reliable statistical data analysis tool PSPP (replacement for the proprietary program SPSS and very similar to it)

Requirements

• No requirements: this cource apply for 100% humanitarian - we start from scratch and build applied knowledge gradually using real business-cases and datafiles
• MS Office Excel on your PC
• Basic knowledge of Excel is desirable, but not mandatory
• Passionate desire to understand statistics and its area of apply, particular in socio-economic sciences (marketing, HR, management, political technology, cultural science, sociology, psychology, economics, etc.).

Target audience

• For those who need the opportunity to "taste and feel" the world of numbers and statistical analysis that seems so unimaginably complex and obscure
• The course is designed for anyone who wants to learn how to work with data - whether you are eager to learn statistics newcomer or professional who wants to systematize or refresh knowladges
• Prof and experts from non-technical sciences (hummanitarians, psychologists, sociologists, cultural scientists, economists, political technologists, etc.)
• Both heads of organizations or units working with large amounts of data - as well as scientists, teachers and students various disciplines
• The methods considered in the course are universal and suitable for computer science, industry, quality assessment, risk prediction, medicine, physics, chemistry, pharmacology, biomedical, biotechnology, genetics, etc.
• Anyway it is an applied course for a wide audience of different skills level - from students to professionals of engineering and socio-economic disciplines