Become a Data Analyst - Power BI SQL Python Tableau

所在平台: Udemy

课程主页: https://www.udemy.com/course/become-a-data-analyst-power-bi-sql-python-tableau/

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课程名称:成为数据分析师 - Power BI、SQL、Python、Tableau 课程概述:数据分析是一个检查、清洗、转换和建模数据的过程,旨在发现有用的信息、形成结论并支持决策。数据分析师的职责是收集、清洗和解释数据集,以便回答问题或解决问题。数据分析师可以在多个行业工作,包括商业、金融、刑事司法、科学、医学和政府。 数据分析师的任务和职责:数据分析师的主要工作是收集和解释数据,以解决特定问题。虽然数据分析师的日常工作涉及大量的数据处理,但沟通发现结果也是其重要职能。具体工作包括: 1. **收集数据**:分析师通常自行收集数据,可能包括进行调查、跟踪公司网站的访客特征,或购买数据集合。 2. **清洗数据**:原始数据可能包含重复、错误或异常值。清洗数据的过程是确保数据质量,以便确保解释不会出现偏差。 3. **建模数据**:这一过程涉及创建和设计数据库结构,包括选择存储和收集的数据类型,建立数据类别之间的关系,以及处理数据的实际显示方式。 4. **解释数据**:通过寻找数据中的模式或趋势,帮助回答具体问题。 5. **展示结果**:有效地传达调查结果是工作的重要部分,通过制作图表、撰写报告和向相关方展示信息来实现。 本课程将帮助学员掌握使用 Power BI、SQL、Python 和 Tableau 的数据分析技能,为追求在数据分析领域的职业发展奠定基础。

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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, cleans, and interprets data sets in order to answer a question or solve a problem. They can work in many industries, including business, finance, criminal justice, science, medicine, and government.Data analyst tasks and responsibilitiesA data analyst is a person whose job is to gather and interpret data in order to solve a specific problem. The role includes plenty of time spent with data, but entails communicating findings too. Here's what many data analysts do on a day-to-day basis:Gather data: Analysts often collect data themselves. This could include conducting surveys, tracking visitor characteristics on a company website, or buying datasets from data collection specialists.Clean data: Raw data might contain duplicates, errors, or outliers. Cleaning the data means maintaining the quality of data in a spreadsheet or through a programming language so that your interpretations won't be wrong or skewed. Model data: This entails creating and designing the structures of a database. You might choose what types of data to store and collect, establish how data categories are related to each other, and work through how the data actually appears.Interpret data: Interpreting data will involve finding patterns or trends in data that will help you answer the question at hand.Present: Communicating the results of your findings will be a key part of your job. You do this by putting together visualizations like charts and graphs, writing reports, and presenting information to interested parties.

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