Generative AI for Business Leaders
Advertising with Meta
How Google does Machine Learning
دوراتنا
Wind Energy
Welcome to the course of Wind Energy. This course gives an overview of key aspects in wind energy engineering. Whether you are looking for general insight in this green technology or your ambition is to pursue a career in wind energy engineering, 'Wind Energy' is an excellent starting point.
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Course by
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Self Paced
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34 ساعات
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الإنجليزية
The Econometrics of Time Series Data
In this course, you will look at models and approaches that are designed to deal with challenges raised by time series data. The discussion covers the motivation for the use of particular models and the description of the characteristics of time series data, with a special attention raised to the potential memory. You will: – Discuss time series models, that refer to data that have been collected over a period on one or more variables for the same individual.
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Course by
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Self Paced
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31 ساعات
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الإنجليزية
Train Machine Learning Models
This course is designed for business professionals that wish to identify basic concepts that make up machine learning, test model hypothesis using a design of experiments and train, tune and evaluate models using algorithms that solve classification, regression and forecasting, and clustering problems. To be successful in this course a learner should have a background in computing technology, including some aptitude in computer programming.
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Course by
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Self Paced
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29 ساعات
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الإنجليزية
Linear Regression for Business Statistics
Regression Analysis is perhaps the single most important Business Statistics tool used in the industry. Regression is the engine behind a multitude of data analytics applications used for many forms of forecasting and prediction. This is the fourth course in the specialization, "Business Statistics and Analysis". The course introduces you to the very important tool known as Linear Regression. You will learn to apply various procedures such as dummy variable regressions, transforming variables, and interaction effects.
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Course by
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Self Paced
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28 ساعات
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الإنجليزية
Applied AI with DeepLearning
>>> By enrolling in this course you agree to the End User License Agreement as set out in the FAQ. Once enrolled you can access the license in the Resources area
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Course by
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Self Paced
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25 ساعات
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الإنجليزية
Bayesian Statistics: Time Series Analysis
This course for practicing and aspiring data scientists and statisticians. It is the fourth of a four-course sequence introducing the fundamentals of Bayesian statistics. It builds on the course Bayesian Statistics: From Concept to Data Analysis, Techniques and Models, and Mixture models. Time series analysis is concerned with modeling the dependency among elements of a sequence of temporally related variables. To succeed in this course, you should be familiar with calculus-based probability, the principles of maximum likelihood estimation, and Bayesian inference.
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Course by
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22 ساعات
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الإنجليزية
Forecasting Financial Statements & Valuation for Accountants
The objective of this course is to provide you with the knowledge and skills necessary to analyze, interpret, understand and use financial information to make informed decisions. We will discuss financial reporting from a user’s perspective, use a variety of tools to break apart financial reports into meaningful units for analysis, forecast financial statements, and value a firm. This course is intended to give you exposure to the issues facing users of financial statements.
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Course by
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Self Paced
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17 ساعات
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الإنجليزية
Financial Analysis of Organizations
This course focuses on adopting and implementing a financially analytic mindset when analyzing organizational activities, position and performance. This course begins with an overview of an organization’s financial statements, including the balance sheet, income statement, cash flow statement, as well as the transactions that comprise these statements. You will learn about tools and ratios that help analyze these financial statements and transactions. Financial statement analysis will help you understand how the company has performed in the past and its current position.
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Course by
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Self Paced
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16 ساعات
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الإنجليزية
AI and Climate Change
In this course, you’ll start with a review of the mechanisms behind anthropogenic climate change and its impact on global temperatures and weather patterns. You will work through two case studies, one using time series analysis for wind power forecasting and another using computer vision for biodiversity monitoring. Both case studies are examples of where AI techniques can be part of the solution when it comes to the mitigation of and adaptation to climate change.
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Course by
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Self Paced
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15 ساعات
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الإنجليزية
Collaborative Foresight: How to Game the Future
You’ll never have a complete picture of what's possible in the future if you look at it from just one point of view. The best way to expand your vision? Engage as many people as you can, and “game out” the possibilities together. In this course, you’ll learn how to use collaborative gaming techniques to go beyond your own thinking and see many, many different sides of the same future.
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Course by
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Self Paced
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15 ساعات
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الإنجليزية
Introduction to Vertex Forecasting and Time Series in Practice
This course is an introduction to building forecasting solutions with Google Cloud. You start with sequence models and time series foundations. You then walk through an end-to-end workflow: from data preparation to model development and deployment with Vertex AI. Finally, you learn the lessons and tips from a retail use case and apply the knowledge by building your own forecasting models.
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Course by
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Self Paced
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15 ساعات
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الإنجليزية
Forecasting Skills: See the Future Before it Happens
For many people, the future comes as a surprise – or even a shock. But with strong forecasting skills, YOU can avoid future shock. You can adapt faster, and become better prepared to benefit from change. In this course, you’ll build your future forecasting skills. You'll learn how to turn groups of "signals" (clues about the future) and "drivers" (global forces that influence the direction of change) into compelling future forecasts. Forecasts help you discover new possibilities and opportunities for yourself, your company, or any community you want to inspire to make a better future.
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Course by
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Self Paced
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14 ساعات
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الإنجليزية
Financial Forecasting and Reporting
This course discusses how public projects are evaluated using cost-benefit analysis. Learners discover how interest rates and prices for stocks and bonds are determined. Techniques are presented on how to create departmental budgets for engineering cost centers and pro forma statements for profit centers.
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Course by
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Self Paced
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14 ساعات
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الإنجليزية
Simulation Skills: This is Your Brain on the Future
Do you want to learn how to simulate the future more creatively and more effectively? This course is for you. Humans are the only living creatures with the ability to think about and make plans for the long- term future. Even so, our brains don’t always make it easy. Over the past decade, scientists have discovered a number of neurological “road blocks” to effective futures thinking. These glitches in the brain make it harder for us to accurately predict how we’ll feel and what we’re likely to do, when a particular future arrives.
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Course by
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Self Paced
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13 ساعات
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الإنجليزية
Data Analytics Methods for Marketing
This course explores common analytics methods used by marketers such as audience segmentation, clustering and marketing mix modeling. . You'll explore how to use linear regression for marketing planning and forecasting, and how to assess advertising effectiveness through experiments.
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Course by
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Self Paced
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12 ساعات
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الإنجليزية
Introduction to Predictive Modeling
Welcome to Introduction to Predictive Modeling, the first course in the University of Minnesota’s Analytics for Decision Making specialization. This course will introduce to you the concepts, processes, and applications of predictive modeling, with a focus on linear regression and time series forecasting models and their practical use in Microsoft Excel.
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Course by
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Self Paced
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12 ساعات
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الإنجليزية
Forecasting Models for Marketing Decisions
How will customers act in the future? What will demand for our products and services be? How much inventory should we order for the next season? Beyond simply forecasting what customers will do, marketers need to understand how their actions can shape future behavior. In Developing Forecasting Tools with Excel, learners will develop an understanding of the basic components of a forecasting model, how to build their own forecasting models, and how to evaluate the performance of forecasting models.
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Course by
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Self Paced
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12 ساعات
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الإنجليزية
Forecasting, Budgeting, Territories, Evaluation and Legal/Ethical Issues
In the fourth part of the Sales Operations/Management Specialization, students will explore the purpose and methods for forecasting and budgeting in a management role. Next, we will learn how to develop territories and evaluate sales performance. Finally, we will explore the legal and ethical issues facing sales managers.
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Course by
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Self Paced
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12 ساعات
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الإنجليزية
The Fundamentals of Revenue Management: The Cornerstone of Revenue Strategy
With a fixed capacity, a highly disposable product and high fixed costs, hotels are a natural candidate for the application of revenue management. Originally developed by the airlines in the 1970s, these analytics-based techniques help predict consumer behavior at the hotel’s market level so that the hotel can sell each room each night at the optimum price.
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Course by
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Self Paced
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11 ساعات
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الإنجليزية
Excel Time Series Models for Business Forecasting
This course explores different time series business forecasting methods. The course covers a variety of business forecasting methods for different types of components present in time series data — level, trending, and seasonal. We will learn about the theoretical methods and apply these methods to business data using Microsoft Excel. These forecasting methods will be programmed into Microsoft Excel, displayed graphically, and we will optimise these models to produce accurate forecasts. We will compare different models and their forecasts to decide which model best suits our business' needs.
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Course by
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Self Paced
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11 ساعات
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الإنجليزية
Specialized Models: Time Series and Survival Analysis
This course introduces you to additional topics in Machine Learning that complement essential tasks, including forecasting and analyzing censored data. You will learn how to find analyze data with a time component and censored data that needs outcome inference. You will learn a few techniques for Time Series Analysis and Survival Analysis.
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Course by
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Self Paced
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11 ساعات
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الإنجليزية
Modeling Time Series and Sequential Data
In this course you learn to build, refine, extrapolate, and, in some cases, interpret models designed for a single, sequential series. There are three modeling approaches presented. The traditional, Box-Jenkins approach for modeling time series is covered in the first part of the course. This presentation moves students from models for stationary data, or ARMA, to models for trend and seasonality, ARIMA, and concludes with information about specifying transfer function components in an ARIMAX, or time series regression, model. A Bayesian approach to modeling time series is considered next.
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Course by
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Self Paced
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11 ساعات
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الإنجليزية
Fashion Design
Fashion design is about looking to the future to innovate for today, but it is important to understand the foundation of the design process. In this course, you will learn about technological developments in fashion design, 3D and digital printing, and artisanal design and craftsmanship. You’ll explore building your brand through design aesthetics, materials, silhouettes and fit. You’ll discover the importance of collaboration with other designers and how new modes of thinking and inspiration are integral to the design process.
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Course by
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Self Paced
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11 ساعات
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الإنجليزية
Introduction to Trading, Machine Learning & GCP
In this course, you’ll learn about the fundamentals of trading, including the concept of trend, returns, stop-loss, and volatility. You will learn how to identify the profit source and structure of basic quantitative trading strategies. This course will help you gauge how well the model generalizes its learning, explain the differences between regression and forecasting, and identify the steps needed to create development and implementation backtesters. By the end of the course, you will be able to use Google Cloud Platform to build basic machine learning models in Jupyter Notebooks.
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Course by
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Self Paced
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10 ساعات
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الإنجليزية
Fundamentals of Finance
Welcome to Fundamentals of Finance. This 4 module course will help you understand and affect the performance of your unit or organization’s profitability. By the end of this course, you will be able to implement finance and accounting concepts to drive your organization's growth, analyze financial statements and understand the factors in productivity and profitability, and create forecasting and budgeting. You will also have the ability to evaluate and manage cash flow, implement strategies around financing, and use of ratios in running a business.
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Course by
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Self Paced
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10 ساعات
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الإنجليزية