Introduction to Data Science培训

课程编码

intro2datascience

课程时长

35 小时 通常来说是5天,包括中间休息。

要求

  • An understanding of mathematics and statistics.
  • Some programming experience, preferably in Python.

Audience

  • Professionals interested in making a career change 
  • People curious about Data Science and Data Analytics

课程概览

这种由讲师指导的实时培训(现场或远程)针对希望从事Data Science职业的专业人士。

在培训结束时,参与者将能够:

  • 安装和配置Python和MySql。
  • 了解什么是Data Science ,以及它如何为几乎任何业务增加价值。
  • 了解Python编码的基础
  • 学习有监督和无监督的Machine Learning技术,以及如何实现它们并解释结果。

课程形式

  • 互动式讲座和讨论。
  • 很多练习和练习。
  • 在现场实验室环境中动手实施。

课程自定义选项

  • 要请求此课程的定制培训,请与我们联系以安排。

Machine Translated

课程大纲

Day 1 

  • Data Science: an overview
  • Practical part: Let’s get started with Python - Basic features of the language 
  • The data science life cycle - part 1
  • Practical part: Working with structured data - the Pandas library

Day 2 

  • The data science life cycle - part 2
  • Practical part: dealing with real data
  • Data visualisation
  • Practical part: the Matplotlib library

Day 3

  • SQL - part 1
  • Practical part: Creating a MySql database with tables, inserting data and performing simple queries 
  • SQL part 2
  • Practical part: Integrating MySql and Python 

Day 4

  • Supervised learning part 1
  • Practical part: regression
  • Supervised learning part 2
  • Practical part: classification

Day 5

  • Supervised learning part 3
  • Practical part: building a spam filter
  • Unsupervised learning
  • Practical part: Clustering images with k-means

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