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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-analytics-and-data-science-for-executives/
课程评论：没有评论
课程名称：数据分析与数据科学高管课程 课程概述：本课程旨在为商业领袖提供数据科学的基本概念和应用的理解，涵盖数据分析、数据可视化、机器学习和大数据技术等关键主题。其目标是使高管掌握必要的技能和知识，从而在其组织中做出知情的决策，推动数据驱动的项目。数据分析是全球最受追捧的技能之一，Business Insider将首席数字官和数据科学高管评为六大最具需求的高管职位之一。掌握分析知识不仅对数据科学家和分析师至关重要，也是任何希望在当今社会导航、做出基于数据的决策并能够预测和更好应对市场趋势的人的必备技能。 本课程将解释以下内容： 1. 数据分析的概念及其成为当今最受欢迎技能的原因。 2. 数据分析在帮助公司成为市场领导者方面的历史，以及公司如何认识到数据是一种资产，而非运营的副产品。 3. 伦理在组织和客户可持续信任分析中的关键作用。 4. 如何通过数据科学家和数据工程师在组织中扩大分析的规模。 5. 数据分析的核心原则，包括探索性数据分析、数据可视化、高频分析和替代数据。 本课程以高层次的方式涵盖分析内容，不涉及编码示例，而是关注分析的各个方面及其实际应用。该课程将使高管和初学者理解分析的力量、数据科学团队所需的技能，以及为什么需要广泛采用分析以实现数据驱动的组织。 本课程由DMSA开发，数据科学领袖Matthew Bernath呈现。
A Data Science Training course for Executives is a course designed to provide business leaders with an understanding of the fundamental concepts and applications of data science. The course covers key topics such as data analysis, data visualization, machine learning, and big data technologies. The goal of the course is to equip executives with the skills and knowledge they need to make informed decisions about data-driven initiatives within their organizations.Data Analytics is one of the most sought-after skills globally. Business Insider has even rated both Chief Digital Officers and Data Science Executives as two of the top six most in-demand executive jobs.However, analytics knowledge isn't just crucial for data scientists and analysts, but for anyone looking to navigate today's world, make data-informed decisions and be able to predict and better react to market trends.This Data Science for Executives course explains:1. What Data Analytics is and why it is one of the most in-demand skills today.2. The history of Data Analytics in helping companies become market leaders and how companies came to recognise data as an asset rather than a by-product of operations.3. Why ethics is key for trusted analytics both for the organisation and for clients.4. How to scale analytics across the organisation using data scientists and data engineers.5. The core principles of data analytics, from exploratory data analysis and data visualisation to high-frequency analytics and alternative data.This course covers analytics at a high level without any coding examples, by focusing on the various aspects of analytics and how they can be applied in practice. This course will enable executives and beginners alike to understand the power of analytics, what skills data science teams need, and why analytics needs to be broadly adopted to enable a data-driven organisation.This course was developed by DMSA and is presented by Data Science leader Matthew Bernath.
