enEXPERTS IN BUSINESS EDUCATION
Masterclass

Masterclass Data Analytics and Decision Making

Masterclass Data Analytics and Decision Making
Masterclass

Data Analytics and Decision Making

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 Data Analytics and Decision Making Masterclass will equip you with the skills to give your organisation a competitive advantage in any industry by using data to make decisions, extract business insights, and predict future trends.

You’ll also complete a Capstone project, demonstrating your ability to assess, summarize, and report on data-driven insights.

Overview

Overview

    Course start: Anytime
    Language: English
    Duration: 4-6 weeks (depends on your pace)
    Format: Online
  Commitment: 7 – 10 hours per week
    Certificate: Awarded by SSBM Geneva
    Fee: 199 EUR

LEARNING OBJECTIVES

At the end of this course, you will be able to:

– Explain in the key ideas behind fundamental techniques in data analytics, including dashboarding, visualization, classificiation, aggregation of data
– Identify new opportunities to use these techniques across business domains to guide decision-making
– Apply these techniques to novel problems using a combination of Excel, Power Query, Power BI, SQL, Python or machine learning
Formulate and communicate actionable business recommendations based upon your analysis, including its limitations
Critically assess the validity of analytics-based recommendations in the context of specific business decisions

COURSE REQUIREMENTS

The course has several sections that can be rather advanced such as Machine Learning or Python programming. Although, it is not necessary to have full understanding or advanced knowledge of how Machine Learning or Python work, it is strongly advised for better comprehension that student get some general understanding of what Machine Learning is and how Python works.

CAPSTONE PROJECT

The course ends with the Capstone project which encompasses several techniques and methods used through various labs in the course.
Students are strongly advised to carefully go through the Capstone project to get more understanding how different tools/methods or techniques can be combined to create some meaningful insights that are important for the decision-making.

PROGRAMM OUTLINE

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. After each lecture, students are strongly encouraged to practice the related topics of each lecture in corresponding lab exercises.

TEACHING METHOD

This course is presented entirely online.
Modules can be completed in your own time and at your own pace.

This interactive, supportive teaching model is designed for busy professionals and results in unprecedented certification rates for online courses.

MATERIALS

All reading materials for this course will be made accessible to you through the SSBM Online Learning Portal. Notes for each module are often downloadable, and you are able to save your current learning status and continue whenever you like.

DIPLOMA

Upon successful completion of the Masterclass you will be awarded with a diploma delivered by SSBM Geneva.

Applied Learning Projects

This Data Analytics and Decision Making Masterclass has a strong emphasis on applied learning. 

The entire approach consists of a series of hands-on labs that are explained through various video lectures. Throughout this Masterclass you will be exposed to a series of tools, libraries, cloud services, datasets, methods, assignments and projects that will provide you with practical skills with applicability to real jobs that employers value, including:

Tools: Excel, Power Query, Power BI, Jupyter notebooks, Python, Machine Learning, etc.

Libraries: Pandas, NumPy, Matplotlib, Seaborn

Projects: Icecream sales, World population, Titanic, etc.

What will the Masterclass bring to your career?

  • Build the Skills to Get Job Ready
  • Hands-On Projects
  • Earn a Career Credential
  • Gain data analysis skills
  • Get a holistic and strategic understanding of business
  • Be able to extract strategic business insights
  • Develop data visualisation skills
  • Complete a capstone project

Is this course for you?

This course will equip managers in any industry with the skills to make data-driven decisions for competitive advantage.

This Masterclass is unique in such a way that it will not insist on any mathematical or statistical aspects of the data analytics, but rather on the practical implementation of various managerial tools and techniques used in daily jobs. This aspect sets apart this course from many others where the focus is too much on the theoretical, statistical or mathematical aspects of the data science.

One of the major outcomes of this masterclass will be that you will acquire new data visualization skills that will enable you to make faster, smarter and more data driven decisions in a fast-paced data driven world.

This masterclass will bring you a diploma in “Data Analytics and Decision Making”.

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Contact Info

SSBM Geneva

Geneva Business Center
Avenue des Morgines 12
1213 Genève
Switzerland

+41-225-087-796
contact@ssbm.ch

Social Info

Overview
Fee
Prerequisites 
Programme structure

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.

Fee

The total fee* for the Master class is: 199 EUR

*There are no other hidden costs.

Prerequisites

There are no formal prerequisites for this Masterclass.

Programme structure

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.

Pay for the Masterclass

To pay for the masterclass with your credit card go HERE.

(We use Stripe to process credit card payments. If you prefer to pay with bank wire get in touch with us.)

Register


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