The goal of this masterclass is to help you develop your skills as a data-savvy manager who are managers that are not necessarily data-science experts, but understand what analytics can and cannot do, how to ask the right questions, and, most importantly, how to interpret data to make better decisions.
To that end, through this masterclass you study several basic analytics techniques, focusing on how you can apply them in practice, interpret their output, build intuition, and leverage them in decision-making.
Specifically, we will focus on Data Exploration, Data Aggregation, Data Visualization, various analytics and software tools such as Excel, Power Query, Power BI, Python, SQL, Azure ML, Machine Learning, etc.
The total fee* for the Master class is: 199 EUR
*There are no other hidden costs.
There are no formal prerequisites for this Masterclass.
Module 1 Introduction to Data Analytics and Decision Making
Module 2 About Data
Module 3 Visualizations
Module 4 Data Processing + Power Query
Module 5 Power BI
Module 6 Databases and SQL
Module 7 Python and Data Analytics
Module 8 Capstone Project: Machine Learning, SQL, Python, Excel
Course will cover each topic with several online video lectures followed each time by a practical project. After each lecture, students are strongly encouraged to practice the related topics of each lecture in corresponding lab exercises.
We are “Experts in Business Education”. Our core values stand on:
We offer Swiss quality through unique Experience, Exchange, Everywhere and Engagement.
SSBM is a truly innovative and leading business and management school that aims at taking education to a new level!
We aim at providing a superior learning experience that will have a direct impact on your professional development.
With our unique programs you will strengthen your strategic vision, efficiency and leadership to manage today’s organizations.
Get certified in "Data Analytics and Decision Making".
Learn more about Data Exploration, Data Aggregation, Data Visualization, various analytics and software tools such as Excel, Power Query, Power BI, Python, SQL, Azure ML, Machine Learning.
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