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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-analysts-toolbox-excel-to-mysql-am/
课程评论：没有评论
课程名称：数据分析师的工具箱：Excel、SQL、Power BI 课程概述：加入超过5000名学生的行列，学习Excel、统计学、SQL和Power BI，掌握数据分析、识别趋势、设计可视化并推动业务决策。利用真实数据集，提升你在职场中的竞争优势。 为什么选择学习数据分析工具？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。数据分析师是当今最具吸引力的职业之一。掌握Excel、MySQL、Power BI和统计学能够让你获得晋升，成为公司中的明星。 为什么选择这个特定的课程？本课程专注于在工作中进行数据分析最重要的工具。你将承担快递公司的数据分析师角色，使用真实的数据集进行工作。你将学习技术和商业思维技能，掌握重要的求职技能。无需花费数月时间学习数据分析工具，你可以立即将所学应用于工作中。 本课程作者在大型金融机构拥有超过10年的工作经验，并有超过5年的在线和面对面培训经验。他有数十个Excel、SQL、Power BI等课程，累计超过20000名学生，必定知道你需要什么。 课程中你将学习的工具和技术包括： 1. **MS Excel**： - 发掘Excel的分析工具，应用于不同经验水平。 - 执行条件汇总命令（如SUBTOTAL、SUMIFS、COUNTIFS等）总结数据。 - 应用数据透视表工具分析示例商业案例。 - 使用VLOOKUP、INDEX和MATCH函数操作数据集。 2. **统计学**： - 理解描述性统计和预测统计的价值。 - 使用均值、中位数、众数、范围和方差描述数据。 - 利用Excel的数据分析工具包创建线性回归模型。 - 进行A/B测试并计算测试的统计显著性。 3. **MySQL**： - 使用高级SQL命令（Select、Where、Group By、Having、Order By、Limit）过滤数据。 - 通过连接创建表之间的关系来获取数据。 - 使用聚合命令（“Sum”、“Average”、“Count”等）汇总数据集。 - 使用CASE语句结构化数据并创建新属性。 4. **Power BI**： - 实际操作Power BI软件接口，获取实践经验。 - 将数据连接至Power BI，确定最佳可视化和展示结果的方式。 - 在Power BI中分析和可视化数据，以解答基本问题。 - 创建先进的交互式仪表板以供展示。 课程内容： - 8+小时的点播视频 - 可下载的项目文件 - 实践练习和测验 - 个别专家支持 - 课程问答论坛 - 30天退款保证 - 完成证书 立即加入学习，开启你的数据分析之旅！期待在课堂上见到你！
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