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所在平台: Udemy |
课程主页: https://www.udemy.com/course/the-data-literacy-course-learn-how-to-work-with-data/
课程评论：没有评论
课程名称：数据素养课程：学习如何处理数据 课程概述： 数据素养是指具备处理数据所需的基本能力。无论您在哪个专业领域，如果想要获得丰厚的职业发展，将会从这些技能中受益匪浅。优秀的管理者和企业高管能够表达出可以通过数据解决的问题。因此，如果您希望在任何行业中建立成功的职业生涯，掌握全面的数据素养应成为您的主要目标之一。数据素养者能够做到以下几点： - 清晰表达可以用数据解决的问题 - 理解相关的数据源 - 检查数据的充分性与适用性 - 解读分析结果并提取洞察 - 基于这些洞察做出决策 - 用案例解释所创造的价值 参加本课程后，您将获得上述所有技能，拓展您的定量技能，并确保您拥有扎实的准备。课程共分为四个主要章节： 1. **数据术语理解**：讨论不同类型的数据、数据存储系统及分析数据所需的技术工具。 2. **数据使用**：介绍商业智能（BI）、人工智能（AI）以及各种机器学习和深度学习技术。 3. **数据理解**：学习如何进行数据质量评估、理解主要统计数据（集中趋势度量和离散度量）。 4. **数据解释**：熟悉基本分析技巧，如相关性、简单线性回归（r平方值和p值的含义）、预测、统计测试等。 完成课程后，您将能够理解和使用数据语言。课程由Olivier Maugain教授授课。他在软件分发、咨询和消费品等多个行业拥有丰富的职业经历，目前担任一家大型欧洲零售商的决策智能经理，支持组织更好和更快地利用数据做出决策。 这个课程将提升您的整个职业生涯！还等什么？点击“立即购买”按钮，开始这个激动人心的旅程吧！
Being data literate means having the necessary competencies to work with data.Regardless of your field of expertise - if you want a rewarding career path - you will certainly benefit from these skills.Any manager or business executive worth their salt is able to articulate a problem that can be solved using data.So, if you want to build a successful career in any industry, acquiring full data literacy should certainly be one of your key objectives.Someone who is data literate would have the ability to:Articulate a problem that can potentially be solved using dataUnderstand the data sources involvedCheck the adequacy and fitness of data involvedInterpret the results of an analysis and extract insightsMake decisions based on the insightsExplain the value generated with a use caseYou will acquire all these skills by taking this course. Together, we will expand your quantitative skills and will ensure you have a solid preparation.The course is organized into four main chapters. First, you will start with understanding data terminology - we will discuss the different types of data, data storage systems, and the technical tools needed to analyze data.Then, we will proceed with showing you how to use data. We'll talk about Business Intelligence (BI), Artificial Intelligence (AI), as well as various machine and deep learning techniques.In the third chapter of the course, you will learn how to comprehend data, perform data quality assessments, and read major statistics (measures of central tendency and measures of spread).We conclude this course with an extensive section dedicated to interpreting data. You will become familiar with fundamental analysis techniques such as correlation, simple linear regression (what r-squared and p-values indicate), forecasting, statistical tests, and many more.By the end of the course, you will learn how to understand and use the language of data.Your instructor for this class will be Olivier Maugain. Very few online courses are taught by people with his professional track record. Olivier has worked in various industries, such as software distribution, consulting, and consumer goods. In his current role as Decision Intelligence Manager at a major European retailer, he supports the organization in making better and faster decisions using data.You're about to enroll in a course that can boost your entire career!What are you waiting for?Click the ‘Buy Now' button and let's start this exciting journey today!
