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Workshop

Data Analytics for Executives

Understanding data analysis is an essential skill for modern managers. It is no longer enough to hand responsibility off to data experts.

data

Data Analytics for Executives

Understanding data analysis is an essential skill for modern managers. It is no longer enough to hand responsibility off to data experts. To be able to rely on the evidence your analysts give you, you need to know where it comes from and how it was generated and what it can and can’t teach you.

Using quantitative analysis as part of executive decision making helps you uncover new information and provides you with more confidence in your choices—and you don’t need to be deeply proficient in statistics to do it. This self-paced course will give you the basics to better understand data and analytics, and how quantitative methods help you with challenging business decisions.

We will cover the three fundamental steps of data analysis: gathering information, making sense of data, and communicating the results to get buy-in and motivate others to action. That being said, we will learn some important and commonly used techniques of analysis as part of the course. No prior knowledge of statistics is required for you to understand and learn these tools.

Dates: September 6-17, 2021

Price: 180 000 KZT 
(discounts are available - check with the manager for details)

Venue: Online

For whom?

Professionals in management positions who wants to be more data driven

Executives looking to create and foster a data centric decision making culture in their organization

What will you learn?

Work effectively with data scientists and analysts

Run business experiments and A/B testing

Visualize your data clearly and powerfully

Understand the basics of regression analysis and statistical significance

Distinguish between correlation and causation

Identify when to invest in machine learning and how to proceed

Communicate and defend your findings to stakeholders

Sidestep cognitive biases when making decisions

Program Faculty

Dr. Atanu Rakshit

Assistant Professor of Economics, Graduate School of Business at Nazarbayev University

PhD (Economics) Virginia Tech., USA
Masters (Applied Economics), Virginia Tech., USA

Dr. Atanu Rakshit received his PhD in Economics and M.S. in Applied Economics from Virginia Tech. USA, and his research and teaching interests are in Applied Econometrics, Public Economics, and International Macro-Finance. Professor Rakshit’s current research is focused on differential access to capital among minority led startups, and market reaction to firm’s CSR measures.

Prior to commencing his graduate studies in the U.S., Professor Rakshit worked as a Project Associate on a Central Statistical Organization, Govt. of India project on Natural Resource Accounting in India. He has many years of experience consulting and working with international developmental agencies, academia, sovereign wealth funds and public enterprises.

Atanu

Program Schedule

Session 1

September 6, 2021, Start thinking like a Data Scientist, or Learn How to Wo...

Duration: 18.30 - 20.00 (Astana time, +6 UTC)

Session 2

September 8, 2021, Basics of Business experiments and A/B testing

Duration: 18.30 - 20.00 (Astana time, +6 UTC)

Session 3

September 10, 2021, Visualize and Communicate with Data

Duration: 18.30 - 20.00 (Astana time, +6 UTC)

Session 4

September 13, 2021, Understanding Regression analysis, Statistical significa...

Duration: 18.30 - 20.00 (Astana time, +6 UTC)

Session 5

September 15, 2021, Sidestep Cognitive Biases

Duration: 18.30 - 20.00 (Astana time, +6 UTC)

Session 6

September 17, 2021, Machine learning: When and Why it is Needed?

Duration: 18.30 - 20.00 (Astana time, +6 UTC)

Program's speaker: Atanu Rakshit

Understanding data analysis is an essential skill for modern managers. It is no longer enough to hand responsibility off to data experts. To be able to rely on the evidence your analysts give you, you need to know where it comes from and how it was generated—and what it can and can’t teach you. Using quantitative analysis as part of executive decision making helps you uncover new information and provides you with more confidence in your choices—and you don’t need to be deeply proficient in statistics to do it. This self-paced course will give you the basics to better understand data and analytics, and how quantitative methods help you with challenging business decisions.

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Contact us:

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Gulnar Yermagambetova

Manager

8 (7172) 70-64-60

gsb.exed@nu.edu.kz

Anara Ayaganova

Director of Executive Education

+7 (7172) 70 91 76

gsb.exed@nu.edu.kz