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Valentina Kuskova, Alexander Byzov, Elizaveta Chernenko, Ilia Karpov, Kirill Mikhin, and Elena Beylina
This Specialization is part of HSE University Master of Data and Network Analytics degree program. Learn more about admission into the program here and how your Coursera work can be leveraged if accepted into the program. The specialization is intended for a...
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This Specialization is part of HSE University Master of Data and Network Analytics degree program. Learn more about admission into the program here and how your Coursera work can be leveraged if accepted into the program. The specialization is intended for a general audience of business analysts, seeking to augment their toolkit with the newest analytical methods. Specifically, they will get introduced to the analysis of networks and unstructured data (texts) – the two areas that are currently hailed as the “methods of the future.” The connections that people build and the words they use can potentially tell us much more about the organizational processes than the traditional analytics on numbers. It is also for anyone who wants to learn practical analytics. “Business” is a very broad domain. Learners will know about the application of the newest methods to the analysis of business and will be able to extend the knowledge to other areas. To immerse the newly learned methods into the broader analytical context, specialization offers two additional overview courses. One is dedicated to the field of analytics, helping form a solid understanding of the role that different methods play in generating insights. The second one is an overview of business analytics specifically, with practical tools and tips for a more successful analytic outcome.
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What's inside

Four courses

Network Analysis

(0 hours)
People are social entities, building complex relationships and forming communities. Every connection is based on attributes and affects attitudes, behavior, and actions. This relationship between the structure of people's connections and its effects is called social dynamics.

Introduction to Text Mining with R

(0 hours)
In this online course, you will learn about text analysis, the next big thing in applied analytics. This course is self-contained, covering everything from basic programming skills to advanced natural language modelling for topic discovery. We will focus on applying these concepts to practical problems, rather than spending too much time on theoretical concepts.

Business Analytics: Diversity of Practical Applications

(0 hours)
This course introduces business analytics, a data-driven approach to decision-making. Experts share best practices from various industries, including marketing, sales, PR, HR, and finance. Students will learn key definitions and techniques used in business analytics and explore career opportunities in the field.

Contemporary Data Analysis: Survey and Best Practices

(0 hours)
Despite a variety of analytics courses, those offering a broad overview are rare. This course fills this gap with a survey of state-of-the-art interdisciplinary data analysis methods applicable to business and academia.

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