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Diploma in Business Analytics

Certificate Programs > Diploma in Business Analytics
Diploma

Diploma in Business Analytics

 Duration 7-10 weeks           Language English         Skill level Medium
 Lectures 8                           Diploma Yes               Full Lifetime access 

3,241 learners

The goal of this diploma program 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 diploma program 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 Analytics, Strategic Risk Management and Project Management.

 

The Diploma in Business Analytics 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: 7-10 weeks (depends on your pace)
    Format: Online
  Commitment: 7 – 10 hours per week
    Certificate: Awarded by SSBM Geneva
    Fee: 799 EUR
    ECTS: 5

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.

PROGRAM OUTLINE

The following courses are part of this diploma program:

Data Analytics and Decision Making(DADM03)
Strategic Risk Management (BSRM01)
Project Management (PMB02)

 

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 certificate you will be awarded with a diploma delivered by SSBM Geneva.

Applied Learning Projects

This Diploma in Business Analytics 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 certificate program 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 Diploma in Business Analytics 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 diploma for you?

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

This diploma 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 diploma 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.

At the completion of the diploma program you will be awarded : “Diploma in Business Analytics” that is delivered by SSBM Geneva.

Student Testimonials

  • I chose to study at SSBM, because it gives me flexibility to combine online and onsite learning.

    GUSTAV LINDÉUS
  • The thing I like the most is definitely the possibility to organize studying time on my own, as well as the deadlines for all the projects. The whole program is very approachable and easy to follow.

    FRANCIS OKOH
  • SSBM truly offers high quality education. The course material allows you to apply academic theory to real-world examples from the global business world in an easy manner.

    JELENA PENAVA
  • I am quite impressed with the program, most importantly the quality of the education and the professors. It has been wonderful and I would recommend the program. I also gained and increased my productivity as a manager

    INES BORCIC
  • I chose SSBM as an excellent continuation of my education and combining my professional knowledge with theory and practice of the lectures. SSBM allows flexibility with my personal life and professional life as well as achieving my goals.

    EMMANUEL ENUBUOGIDI
Overview
Fee
Prerequisites 
Programme structure

The goal of this diploma 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 certificate is: 799 EUR

*There are no other hidden costs.

Prerequisites

There are no formal prerequisites for this certificate program.

Programme structure

The diploma program consists of the following courses:

Data Analytics and Decision Making(DADM03)
Strategic Risk Management (BSRM01)
Project Management (PMB02)

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.

Purchase

To pay for the certificate go HERE.

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