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دوراتنا
Preparing Data for Analysis with Microsoft Excel
This course forms part of the Microsoft Power BI Analyst Professional Certificate. This Professional Certificate consists of a series of courses that offers a good starting point for a career in data analysis using Microsoft Power BI. No prior skills are needed to be successful in this course. In this course, you’ll learn how to make use of Excel in business scenarios for data analysis.
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Course by
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Self Paced
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19 ساعات
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الإنجليزية
Getting started with Azure IOT Hub
In this 1-hour guided project, you will create an IoT hub & an IoT device in Azure and use a Raspberry Pi web simulator to send telemetry data to the IoT hub. You will then create an Azure Cloud storage account to store the telemetry data and also create a Stream Analytics job to fetch the data in a CSV file. In the final task, you will analyze and visualize the temperature and humidity telemetry data through line charts and area charts using Microsoft Excel online.
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Course by
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Self Paced
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3 ساعات
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الإنجليزية
Charts, Pictures, Themes, and Styles in Microsoft Excel
By the end of this project, you will create a free account on Microsoft 365, get access to Microsoft Excel, and will create a workbook with charts, pictures, themes, and styles. Your new skills will help you manage information in Microsoft Excel in the most efficient way.
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Course by
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Self Paced
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1 ساعات
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الإنجليزية
Work Smarter with Microsoft Excel
This course is intended for learners with some experience using Microsoft Windows, who are seeking to build presentation skills with Microsoft Excel. To be successful in this course you should have an understanding of the basics of using a Windows-based computer. Experience with printing and using a web browser are an asset, but not required. Knowing how to use Microsoft Office products is essential in any professional setting.
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Course by
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Self Paced
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20 ساعات
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الإنجليزية
Bayesian Statistics: From Concept to Data Analysis
This course introduces the Bayesian approach to statistics, starting with the concept of probability and moving to the analysis of data. We will learn about the philosophy of the Bayesian approach as well as how to implement it for common types of data. We will compare the Bayesian approach to the more commonly-taught Frequentist approach, and see some of the benefits of the Bayesian approach. In particular, the Bayesian approach allows for better accounting of uncertainty, results that have more intuitive and interpretable meaning, and more explicit statements of assumptions.
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Course by
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Self Paced
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12 ساعات
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الإنجليزية
Getting Started with SAS Programming
This course is for users who want to learn how to write SAS programs to access, explore, prepare, and analyze data. It is the entry point to learning SAS programming for data science, machine learning, and artificial intelligence. It is a prerequisite to many other SAS courses. By the end of this course, you will know how to use SAS Studio to write and submit SAS programs that access SAS, Microsoft Excel, and text data.
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Course by
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Self Paced
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25 ساعات
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الإنجليزية
Excel Basics for Data Analysis
Spreadsheet tools like Excel are an essential tool for working with data - whether for data analytics, business, marketing, or research. This course is designed to give you a basic working knowledge of Excel and how to use it for analyzing data. This course is suitable for those who are interested in pursuing a career in data analysis or data science, as well as anyone looking to use Excel for data analysis in their own domain.
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Course by
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Self Paced
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12 ساعات
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الإنجليزية
Excel Skills for Business: Essentials
In this first course of the specialization Excel Skills for Business, you will learn the essentials of Microsoft Excel.
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Course by
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Self Paced
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26 ساعات
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الإنجليزية
مهارات برنامج Excel للعمل: المبادئ الأساسية
في هذه الدورة التدريبية الأولى في تخصص مهارات برنامج Excel للعمل، ستتعلم المبادئ الأساسية لبرنامج Microsoft Excel.
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Course by
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Self Paced
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26 ساعات
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عربي
Meaningful Marketing Insights
With marketers are poised to be the largest users of data within the organization, there is a need to make sense of the variety of consumer data that the organization collects. Surveys, transaction histories and billing records can all provide insight into consumers’ future behavior, provided that they are interpreted correctly. In Introduction to Marketing Analytics, we introduce the tools that learners will need to convert raw data into marketing insights.
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Course by
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Self Paced
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10 ساعات
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الإنجليزية
Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions
The ability to understand and apply Business Statistics is becoming increasingly important in the industry. A good understanding of Business Statistics is a requirement to make correct and relevant interpretations of data. Lack of knowledge could lead to erroneous decisions which could potentially have negative consequences for a firm. This course is designed to introduce you to Business Statistics. We begin with the notion of descriptive statistics, which is summarizing data using a few numbers.
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Course by
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Self Paced
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21 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
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
Introduction to Data Analysis Using Excel
The use of Excel is widespread in the industry. It is a very powerful data analysis tool and almost all big and small businesses use Excel in their day to day functioning. This is an introductory course in the use of Excel and is designed to give you a working knowledge of Excel with the aim of getting to use it for more advance topics in Business Statistics later. The course is designed keeping in mind two kinds of learners - those who have very little functional knowledge of Excel and those who use Excel regularly but at a peripheral level and wish to enhance their skills.
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Course by
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Self Paced
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24 ساعات
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الإنجليزية