Course Code: daanevp
Duration: 42 hours
Prerequisites:
  • 参加本课程不需要任何特定要求。
Overview:

数据分析是当今商业中的重要工具。我们将始终专注于培养实际数据分析的技能。该课程的目的是说明代表们对问题给出基于证据的答案: 

发生了什么事?

  • 处理和分析数据
  • 生成资讯丰富的数据可视化

会发生什么?

  • 预测未来性能
  • 评估预测

会发生什么?

  • 将数据转化为基于证据的业务决策
  • 优化流程

该课程本身可以作为为期 6 天的课堂课程提供,也可以根据需要在几周内 远端 提供。 我们可以与您合作,提供最适合您需求的课程。

Course Outline:

基本 Excel

  • 导航
  • 处理数据
  • 使用公式和位址
  • 图表

高级 Excel 

  • 逻辑函数
  • 情景分析
  • 求解
  • 巨集
  • 代码第一眼:VBA

VBA

  • 数据类型
  • 编写函数
  • 控制程式:条件计算和回圈
  • 调试技术

资料分析 Python

  • 介绍 Python
  • 变数和类型
  • 使用 Pandas 在 Python 中进行数据操作
  • 编写函数
  • 使用 Matplotlib 和 Seaborn 进行数据可视化
  • 与 Pandas 的数据争论

Machine Learning 和 Python 简介

  • 使用 scikit-learn 进行线性回归
  • 分类和回归树 Python
  • 使用支援向量机和 Random Forests 进行分类
  • 使用 scikit-learn 的聚类技术
Sites Published:

United Arab Emirates - Data Analytics with Excel, VBA and Python - From the Ground Up

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