Generative AI for Business Leaders
Advertising with Meta
How Google does Machine Learning
دوراتنا
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
Analytics for Decision Making
The field of analytics is typically built on four pillars: Descriptive Analytics, Predictive Analytics, Causal Analytics, and Prescriptive Analytics. Descriptive analytics (e.g., visualization, BI) deal with the exploration of data for patterns, predictive analytics (e.g., data mining, time-series forecasting) identifies what can happen next, causal modeling establishes causation, and prescriptive analytics help with formulating decisions. This specialization focuses on the Prescriptive Analytics (the final pillar).
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Course by
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الإنجليزية
Analyzing Time Series and Sequential Data
Using SAS Visual Forecasting and other SAS tools, you will learn to explore time series, create and select features, build and manage a large-scale forecasting system, and use a variety of models to identify, estimate and forecast signal components of interest.
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Course by
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Self Paced
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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
This Specialization is intended for all learners seeking to develop proficiency in statistics, Bayesian statistics, Bayesian inference, R programming, and much more. Through four complete courses (From Concept to Data Analysis; Techniques and Models; Mixture Models; Time Series Analysis) and a culminating project, you will cover Bayesian methods — such as conjugate models, MCMC, mixture models, and dynamic linear modeling — which will provide you with the skills necessary to perform analysis, engage in forecasting, and create statistical models using real-world data.
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Course by
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Self Paced
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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
Building a Large-Scale, Automated Forecasting System
In this course you learn to develop and maintain a large-scale forecasting project using SAS Visual Forecasting tools. Emphasis is initially on selecting appropriate methods for data creation and variable transformations, model generation, and model selection.
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Course by
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Self Paced
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10 ساعات
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الإنجليزية
Building Demand Forecasting with BigQuery ML
This is a self-paced lab that takes place in the Google Cloud console. In this lab you will build a time series model to forcast demand of multiple products using BigQuery ML. This lab is based on a blog post and featured in an episode of Cloud OnAir.
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Course by
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Self Paced
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1 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
Covid-19 Cases Forecasting Using Fbprophet
Predictive models attempt at forecasting future value based on historical data. In this hands-on project, we will analyze the transmission of Covid-19 virus across the globe and train a time-series model (fbprophet) to get the projection of corona virus-related cases in the United States.
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Course by
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Self Paced
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3 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
Demand Analytics
Welcome to Demand Analytics - one of the most sought-after skills in supply chain management and marketing! Through the real-life story and data of a leading cookware manufacturer in North America, you will learn the data analytics skills for demand planning and forecasting. Upon the completion of this course, you will be able to 1. Improve the forecasting accuracy by building and validating demand prediction models. 2.
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Course by
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Self Paced
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9 ساعات
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الإنجليزية
Demand Forecasting Using Time Series
This course is the second in a specialization for Machine Learning for Supply Chain Fundamentals. In this course, we explore all aspects of time series, especially for demand prediction. We'll start by gaining a foothold in the basic concepts surrounding time series, including stationarity, trend (drift), cyclicality, and seasonality. Then, we'll spend some time analyzing correlation methods in relation to time series (autocorrelation). In the 2nd half of the course, we'll focus on methods for demand prediction using time series, such as autoregressive models.
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Course by
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Self Paced
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9 ساعات
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الإنجليزية
Demand Planning in RStudio: Create Demand Forecast
This Guided Project Demand Planning in RStudio: Create Demand Forecast is for Supply Chain and/or Operations Analysts.
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Course by
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Self Paced
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4 ساعات
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الإنجليزية
Excel Regression Models for Business Forecasting
This course allows learners to explore Regression Models in order to utilise these models for business forecasting. Unlike Time Series Models, Regression Models are causal models, where we identify certain variables in our business that influence other variables. Regressions model this causality, and then we can use these models in order to forecast, and then plan for our business' needs. We will explore simple regression models, multiple regression models, dummy variable regressions, seasonal variable regressions, as well as autoregressions.
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Course by
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Self Paced
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9 ساعات
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الإنجليزية
Excel Skills for Business Forecasting
The current state of the world makes business forecasting even more fundamental to the operation of institutions.
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Course by
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Self Paced
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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
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
Finance for Non-Financial Professionals
This course is for non-financial professionals, managers, and business leaders seeking to understand core finance and accounting concepts to drive organizational growth and impact financial decisions. You will gain a basic understanding of finance and accounting principles, enabling you to analyze financial information and assess the impact of your decisions across functional areas. Specific topics include financial analysis, planning, forecasting, budgeting, cash flow management, and strategic financing.
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Course by
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Self Paced
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7 ساعات
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الإنجليزية
Finance for Technical Managers
In Finance for Technical Managers, you will explore the fundamental principles of financial management. Topics include understanding and interpreting a company’s financial statements, the time value of money and its role in evaluating the economic viability of different projects, and the annual capital budgeting process every company performs when selecting which projects to fund. In addition, you will cover some highly practical topics, such as how to determine product costs, establishing a department’s annual budget, and ways of forecasting future sales.
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Course by
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Self Paced
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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
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
Forecast bikeshare demand using time series models in R
In this project, you’ll help a bike rental company enhance its fleet management and pricing strategy by building a daily bike rental forecasting model using time series analysis techniques in R. Your objectives include loading, cleaning, processing, and analyzing daily rental transaction data, and developing and evaluating time series models for the most accurate predictions. The company will use your validated forecasting model to determine the optimal number of bikes to keep in each station and set dynamic pricing based on predicted demand.
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Course by
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Self Paced
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3 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
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