Analytics & Data Science for managers & humanitarians
Learn the main fundamentals of Statistics and practical data analysis in this comprehensive course. Suitable for beginners and professionals from various disciplines, this course will help you navigate the world of numbers and statistical analysis. From calculating sample sizes to analyzing big data files, you will gain the skills to find hidden patterns and make informed decisions. Taught by an experienced practitioner with over 20 years of data science expertise, this course is designed to be accessible and applicable to a wide audience. Don’t miss the opportunity to work with data and unlock its potential in your field.
What you’ll 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 (from descriptive statistics and compare samples – to linear and logistic regression, cluster analysis, reliability and factor analysis.
- ***OFFICIAL*** simple reliable statistical data analysis tool PSPP (replacement for the proprietary program SPSS and very similar to it)
For english-speaking students from russian-speaking scientist: the author of Russian best-seller “ANALYTICS AND DATA SCIENCE: for non-analysts and 100% humanitarians…” (is sold in largest online stores: AMAZON, OZON, LitRes, RIDERO…russian edition only)
The Instructor is practioner with over 20 years of experience using data science and analytics to drive meaningful improvements and strategic business decisions. Also he is one of Udmy’s top Russian instructor in category “Business” and the master of statistical tools (from Excel and SPSS to programming language R). He is creator of MBA program and number of trainings for top and senior management of international corporations.
The course very gradually (step-by-step, from simple to complex) plunges non-technical sciences professionals (management, business, marketing, humanitarians, linguists, psychologists, sociologists, cultural scientists, economists, politologists, forensics, etc.) into an exciting digital world of statistics and probabilities – and will help to easily navigate, use and not be afraid of it
The course will also be suitable for professional engineering and technical disciplines who have not studied data analysis, but want to understand it – without terrible formulas and cumbersome calculations
The course is based on the most up-to-date materials, which were read on MBA programs and used in different projects (marketing and sociological research, personnel research, opinion surveys, development of psychodiagnostic tools and tests, analysis and forecasting, reorganization, staffing, remuneration, etc.)
The materials are sufficient as for the beginner or newcomer (student or specialist first time faced with statistics ), as for experienced professionals who wish to systematized knowledge, and also looked at effective application in management decisions of even such basic thing as descriptive statistics (mean, median, quartile).
The author collected and very “keep it simple” explained the most popular methods of statistical analysis and prognostic analytic that are universal for all sciences and professions. He gives only applied useable methods and concepts that completely enough for humanitarians in their work
A very fascinating course about numbers and data that seem to non-technical professionals so boring and obscure…
Who this course is for:
- 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
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