Generative AI for Business Leaders
Advertising with Meta
How Google does Machine Learning
دوراتنا
Process Mining: Data science in Action
Process mining is the missing link between model-based process analysis and data-oriented analysis techniques. Through concrete data sets and easy to use software the course provides data science knowledge that can be applied directly to analyze and improve processes in a variety of domains. Data science is the profession of the future, because organizations that are unable to use (big) data in a smart way will not survive. It is not sufficient to focus on data storage and data analysis. The data scientist also needs to relate data to process analysis.
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Course by
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Self Paced
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22 ساعات
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الإنجليزية
Advanced Valuation and Strategy - M&A, Private Equity, and Venture Capital
Hi and welcome to this course! Would you like to learn about the latest valuation methods that may help you to make better business decisions? Then 'Advanced Valuation and Strategy – M&A, Private Equity, and Venture Capital' by Erasmus University Rotterdam is the right course for you! This course is helpful for executives that need to value complete strategies and for all students interested in corporate finance and strategy.
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Course by
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Self Paced
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16 ساعات
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الإنجليزية
Finance for Non-Finance Professionals
This short course surveys all the major topics covered in a full semester MBA level finance course, but with a more intuitive approach on a very high conceptual level. The goal here is give you a roadmap and framework for how financial professional make decisions. We will cover the basics of financial valuation, the time value of money, compounding returns, and discounting the future. You will understand discounted cash flow (DCF) valuation and how it compares to other methods.
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Course by
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Self Paced
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14 ساعات
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الإنجليزية
Business Intelligence Concepts, Tools, and Applications
This is the fourth course in the Data Warehouse for Business Intelligence specialization. Ideally, the courses should be taken in sequence. Effectively and efficiently mining data is the very center of any modern business’s competitive strategy, and a data warehouse is a core component of this data mining. The ability to quickly look back at early trends and have the accurate data – properly formatted – is essential to good decision making. By enabling this historical overview, a data warehouse allows decision makers to learn from past trends and challenges.
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Course by
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Self Paced
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22 ساعات
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الإنجليزية
Accounting for Decision Making
Through this course, you will start by addressing the two “big questions” of accounting: “What do I have?” and “How did I do over time?” You will see how the two key financial statements – the balance sheet and the income statement - are designed to answer these questions and then move on to consider how individual transactions aggregate to make up these financial statements.
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Course by
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30 ساعات
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الإنجليزية
Business Analytics for Decision Making
In this course you will learn how to create models for decision making. We will start with cluster analysis, a technique for data reduction that is very useful in market segmentation. You will then learn the basics of Monte Carlo simulation that will help you model the uncertainty that is prevalent in many business decisions. A key element of decision making is to identify the best course of action. Since businesses problems often have too many alternative solutions, you will learn how optimization can help you identify the best option.
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Course by
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Self Paced
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9 ساعات
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الإنجليزية
Introduction to Time Value of Money (TVM)
The strength of finance is that it takes a structured approach to decision making, with one key building block underlying all decisions — understanding the value of time, or the Time Value of Money (TVM). In this course, we will develop this building block using introductory, and simple, applications. We will learn about the Time Value of Money (TVM), Simple Future Value (FV) , Simple Present Value (PV) , Future Value of Annuity, Loans, compounding, and Valuing Perpetuities.
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Course by
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Self Paced
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13 ساعات
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الإنجليزية
Business Applications of Hypothesis Testing and Confidence Interval Estimation
Confidence intervals and Hypothesis tests are very important tools in the Business Statistics toolbox. A mastery over these topics will help enhance your business decision making and allow you to understand and measure the extent of ‘risk’ or ‘uncertainty’ in various business processes. This is the third course in the specialization "Business Statistics and Analysis" and the course advances your knowledge about Business Statistics by introducing you to Confidence Intervals and Hypothesis Testing. We first conceptually understand these tools and their business application.
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Course by
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Self Paced
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25 ساعات
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الإنجليزية
Exploring and Producing Data for Business Decision Making
This course provides an analytical framework to help you evaluate key problems in a structured fashion and will equip you with tools to better manage the uncertainties that pervade and complicate business processes. Specifically, you will learn how to summarize data and learn concepts of frequency, normal distribution, statistical studies, sampling, and confidence intervals. While you will be introduced to some of the science of what is being taught, the focus will be on applying the methodologies.
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Course by
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Self Paced
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23 ساعات
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الإنجليزية
Introduction to Business Analytics: Communicating with Data
This course introduces students to the science of business analytics while casting a keen eye toward the artful use of numbers found in the digital space. The goal is to provide businesses and managers with the foundation needed to apply data analytics to real-world challenges they confront daily in their professional lives. Students will learn to identify the ideal analytic tool for their specific needs; understand valid and reliable ways to collect, analyze, and visualize data; and utilize data in decision making for their agencies, organizations or clients.
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Course by
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Self Paced
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16 ساعات
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الإنجليزية
Digital Marketing Analytics in Practice
Successfully marketing brands today requires a well-balanced blend of art and science. This course introduces students to the science of web analytics while casting a keen eye toward the artful use of numbers found in the digital space. The goal is to provide the foundation needed to apply data analytics to real-world challenges marketers confront daily.
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Course by
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Self Paced
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20 ساعات
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الإنجليزية
Text Mining and Analytics
This course will cover the major techniques for mining and analyzing text data to discover interesting patterns, extract useful knowledge, and support decision making, with an emphasis on statistical approaches that can be generally applied to arbitrary text data in any natural language with no or minimum human effort. Detailed analysis of text data requires understanding of natural language text, which is known to be a difficult task for computers.
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Course by
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Self Paced
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33 ساعات
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الإنجليزية
Leading Teams
In this course, you will learn how to build your team, improve teamwork and collaboration, and sustain team performance through continuous learning and improvement. Specifically, you will learn best practices for composing a team and aligning individual and team goals. You will also learn how to establish roles, build structures, and manage decision making so that your team excels. This course will also help you manage critical team processes such as conflict resolution and building trust that have a profound impact on your team’s performance.
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Course by
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Self Paced
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11 ساعات
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الإنجليزية
Managerial Accounting: Cost Behaviors, Systems, and Analysis
In this course, you will learn how to use accounting to facilitate and align decisions made by owners, managers, and employees. You will learn how accountants create, organize, interpret, and communicate information that improves internal processes and allows organizations to identify and leverage opportunities to create value within the supply chain and with customers.
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Course by
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Self Paced
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20 ساعات
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الإنجليزية