|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-analyst-skills-for-beginners-sqlrpythonpower-bi/
课程评论：没有评论
课程名称：初学者数据分析师技能 - (SQL, R, Python, Power BI) 课程概述：数据分析是一个检查、清理、转换和建模数据的过程，其目的是发现有用的信息、得出结论并支持决策。数据分析师收集、组织和研究数据，以提供商业见解。数据分析师应用多种数据分析和可视化的工具和技术（包括商业信息工具），以识别、收集并迁移数据，管理、清理、抽象和聚合数据，并对数据进行各种分析研究。课程内容涵盖不同数据集的操作与关联，及以最适合用户的形式总结和呈现数据与结论。 R是一种编程语言，常用于统计计算和图形展示，以分析和可视化数据。R提供了多种统计（线性和非线性建模、经典统计测试、时间序列分析、分类、聚类等）和图形技术，并且具有很强的可扩展性。 SQL（结构化查询语言）是一种用于管理关系数据库中的数据的编程语言，自1970年代以来已经存在，是如今访问数据库数据的最常见方法。SQL具有多种功能，允许用户读取、操作和修改数据。 Python是一种流行的编程语言，可用于服务器创建网页应用，同时也用于数据分析和可视化。使用Python分析数据是数据科学家和数据分析师必备的重要技能。 Power BI是微软的云端商业分析服务，使得任何人都能更快速高效地可视化和分析数据。它是一个强大而灵活的工具，可以连接和分析各种数据，而Power BI也有桌面版可用于数据分析与可视化。 无须任何编程经验，来获取你作为数据分析师所需的技能吧！
Data analysis is a process of inspecting, cleansing, transforming, and modelling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. A data analyst collects, organises and studies data to provide business insight.Data analyst applies various tools and techniques for data analysis and data visualisation (including the use of business information tools) to identify, collect and migrate data to and from a range of systems manage, clean, abstract and aggregate data alongside a range of analytical studies on that data manipulate and link different data sets summarise and present data and conclusions in the most appropriate format for users.R is a programming language. R is often used for statistical computing and graphical presentation to analyse and visualize data. R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, …) and graphical techniques, and is highly extensible. SQL (Structured Query Language) is a programming language designed for managing data in a relational database. It's been around since the 1970s and is the most common method of accessing data in databases today. SQL has a variety of functions that allow its users to read, manipulate, and change data.Python is a popular programming language. Python can be used on a server to create web applications and also for data analysis and visualization. Analysing data with Python is an essential skill for Data Scientists and Data Analysts.Power BI is a cloud-based business analytics service from Microsoft that enables anyone to visualize and analyse data, with better speed and efficiency. It is a powerful as well as a flexible tool for connecting with and analysing a wide variety of data. Power BI also has a desktop version that can be used for data analysis and visualization.Gain skills you need to succeed as a data analyst! No prior coding experience required.
