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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