This is a synchronous online class with instructors, which means you'll still attend class sessions during class time and receive plenty of hands-on experience. 如果你想在NSS学习, but have not been able to attend in-person, here's your opportunity to get a taste of our learning environment online!

你对数据分析感兴趣吗?
Have you started exploring data on your own but want to find out if you’re on the right track? Are you considering a career change and want to see what working on an analytics project is like? Would basic knowledge of analytics and tools like using Python in a Jupyter Notebook be helpful in your current career? If you are looking for a hands-on introduction to data analytics and want to demystify analytics and data science, the Data 分析启动 was created for you.
这是你的课程吗?
课程内容是什么?
数据分析工作流
You will learn about the data analytics workflow and have hands-on exposure to many parts of it, 包括收集, 清洁, 合并数据, 探索性数据分析, 沟通, 可视化, 和分享成果.
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Python
Learn the basics of data analysis with Python, a widely used programming language in analytics. This course will introduce you to a few analytics libraries that are useful for data analytics and data visualization, e.g. 熊猫,matplotlib,和海生. -
SQL
Use Structured Query Language to select data from a database. -
Reproducible Workflow with Jupyter Notebooks
Jupyter Notebooks are widely used by data analysts and data scientists to document and share their analysis work. Learn to use markdown and code in combination to document and share your workflow. This adds transparency to your work and strengthens your analysis. -
分析职业生涯
Learn about the kinds of jobs that are available in data analysis and data science. Learn about the different types of analytics and how they are used in different domains to answer questions and solve problems. -
探索性数据分析
Learn techniques for getting to know your data quickly, generating summary statistics and creating plots to show distributions, 变量之间的关系, 和更多的. -
数据可视化 & 讲故事
You will get practice 沟通 your analysis process and findings to non-technical audiences, an essential skill for data analysts and data scientists.
你将如何学习这些材料?
什么是必需的?
- 个人笔记本电脑(请不要使用chromebook. You will need at least 5GB of free hard drive space.)
- 必须年满18岁
- No prior technical training, analytics, or web development experience is required.
- 基本的计算机操作能力. You should know how to use common applications, 例如字处理, 熟悉使用互联网.
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时间表
周六,星期二,星期四 上午9点到下午2点,下午6点到9点 -
位置
这个类是远程的.
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日期
2022年2月5-24,
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学费
$650*NSS训练营的500美元积分. (Only one $500 Jumpstart credit may be applied per bootcamp.)
考勤信息
Our policy regarding absences is based on the short duration of the course and the schedule of the material covered. We want to make sure you are getting the most out of this course possible!
对于以下场景, we would be happy to work with you and point you at resources to help fill in what you missed. The instruction staff is happy to catch you up to speed.
对于以下场景, we would encourage you to look into enrolling in the next available course. Courses are regularly offered and there might be one that better fits your schedule. 如果没有列出未来的课程, make sure to ask us and we’ll let you know roughly when the next class is slotted for.
退款信息
学费将被退还, 减去50美元的管理费, if a request is made prior to the start of the second class session. If you would like to transfer your ticket to a different month or Jumpstart, please email info@nashvillesoftwareschool.在要求退款之前.