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密歇根州立大学丹佛 Skills Lab is currently under reconstruction and should be available mid-2024.
定期检查更新.
更多关于技能实验室的信息
数据科学是关于提取的, 分析, 可视化, 管理和存储数据以创建见解. These insights help companies make powerful data-driven decisions. 密歇根州立大学丹佛分校的数据科学在线课程, you will learn necessary skills needed for a career in data science such as Python programming and scripting language, 统计数据, Dataiku和微软商业智能.
通常被描述为数据分析的混搭, 经济学, 统计数据, 计算机科学, 数据科学家的工作正在快速增长. As of May 2020, there are 740 data science-related jobs in Colorado. The state is projecting an expected growth of 14 percent by the end of 2021. Glassdoor also named “data scientist” as the third most desired job by employers for 2020.
At 密歇根州立大学丹佛, we offer a Skills Lab program that focuses on data science skills. By 注册这个数据科学在线课程, 你可以培养各种角色所需的技能, 比如数据分析师, 数据架构师, 数据管理员, 机器学习工程师, 统计学家, 数据和分析经理.
教师主导的在线技能实验室*正在重建中
Skills Lab: Linear Programming – Optimization Method for Businesses
导师:Viktor Kiss
学习目标:
- 了解线性规划背后的基本原理
- Describe what linear programming is and how it can be used by businesses
- Create linear programming models for maximization and minimization problems
- Solve linear programming problems and learn from examples and models
- Interpret the output of the model and determine how changing the inputs would affect the outcome
Skills Lab: Monte Carlo Simulation – Building Uncertainty into Business Decisions
导师:Viktor Kiss
学习目标:
- 描述不确定性在商业决策中扮演的角色, and how the monte carlo method utilized through monte carlo simulation can help to understand it
- Use different types of random distributions to model certain events
- Use monte carlo simulation to create models that simulate business scenarios
- Interpret the output of the monte carlo model and determine the impact of changing the inputs of the simulated system
技能实验室:用Python解决问题
教练:Thyago Mota
学习目标:
- Gain an understanding of python programming and scripting language
- Describe how the concepts of computer science are applied to solve real-world problems
- Create programs in Python and other scripting and coding languages by using assignments, 条件, 循环, 功能, 和对象.
- Break down problems in python using top-down design and functional decomposition
实验:理解用于数据科学的Python库
老师:Rajan Ranjidha
学习目标:
- 了解数据检索和清理
- 数据可视化的理解
技能实验室:统计学概论(1 / 4)
指导老师:Christopher Nelson
学习目标:
- 理解不同的数据类型 通过运用数据分析工具
- 理解测量的层次
- 了解什么是描述性统计
- Calculate and interpret the results of measures of central tendency using MS Excel
- Calculate and interpret the results of measures of variation using MS Excel
技能实验室:推论统计学(2 / 4)
指导老师:Christopher Nelson
学习目标:
- Understand confidence intervals using data science skills and data analysis tools
- Calculate confidence intervals for m (population mean) and interpret the results using MS Excel
- Calculate and interpret the results of various hypothesis tests involving a population mean using MS Excel
技能实验室:高级统计分析(3 / 4)
指导老师:Christopher Nelson
学习目标:
- Calculate and interpret the results of data analysis of variance tests involving the equality of three or more population means using MS Excel
- Perform bi-variate regression analysis to develop and interpret a regression equation using MS Excel
- Perform multiple regression analysis to develop and interpret a regression equation using MS Excel
技能实验室:数据模拟与预测(4 / 4)
指导老师:Christopher Nelson
学习目标:
- Understand the methods and purpose of data simulation and data analysis
- Solve various problems through data simulation techniques using MS Excel
- Understand various methods used in forecasting data using data analysis and reporting
- 运用MS Excel进行预测
通过行业主导的培训培养数据科学技能
Alteryx学院
用Alteryx更深入地解决问题, explore new frontiers in your data analytics and data science journey, and push yourself to prove and improve your skills with our Certification Program.
Dataiku is a user-friendly platform that helps data scientists analyze data, 在项目上合作, 生成学习模型.
Dataiku概念概述
通过这门在线课程，密歇根州立大学丹佛分校的Dataiku培训earn the core Dataiku concepts, including datasets, the lab, the flow, recipes, and collaboration.
连接数据
Learn how Dataiku connects to your existing infrastructure; including fetching data from remote sources, 通过插件访问云存储和数据.
数据准备
Learn how to prepare data with Dataiku visual recipes and through use cases.
机器学习
了解Dataiku如何使构建机器学习模型变得容易, 将它们部署到生产环境中, 创造新纪录.
数据可视化
学习如何在Dataiku中创建图表、仪表板和web应用程序.
从Excel到Dataiku DSS
With Dataiku you can do all the operations and analytics you’re used to in Excel, 同时充分利用其大数据能力!
自动化和实时评分
Dataiku DSS具有监控和调度功能, an automation node for deployment to production and real-time scoring.
使用代码
Dataiku lets you access and process the data using your favorite coding language, 使用笔记本来制作你的食谱原型.
Dataiku api
Learn the Dataiku api, including datasets, the lab, the flow, recipes, and collaboration.
数据库决策支持系统管理
了解Dataiku DDS的设置和维护.
大数据架构
了解Dataiku如何利用Hive, 黑斑羚, 火花水, 分区, 以及大数据环境的其他元素.
Turn data into opportunity with Microsoft Power BI data visualization tools. Drive better business decisions by 分析 your enterprise data for insights.
Power BI:开始吧
Power BI documentation provides expert information and answers to address your needs, 无论你如何使用Power BI.
面向消费者的Power BI
作为消费者，您从同事那里收到指示板和报告. You work in Power BI to review and interact with this content to make business decisions.
管理Power BI
Power BI admin and enterprise documentation provides expert information and answers to address your needs, 无论你如何使用Power BI.
在Power BI中开发
作为power BI开发人员，您可以嵌入power BI内容, 开发Power BI可视化和自动化Power BI流程.
连接数据
Power BI documentation provides expert information and answers to address your needs, 无论你如何使用Power BI.
创建报告和指示板
Power BI documentation provides expert information and answers to address your needs, 无论你如何使用Power BI.
协作和共享
Power BI documentation provides expert information and answers to address your needs, 无论你如何使用Power BI.
移动应用中的Power BI
Power BI documentation provides expert information and answers to address your needs, 无论你如何使用Power BI.
微软Azure机器学习工作室
有目的的发明, 实现成本节约, and make your organization more efficient with Microsoft’s Azure’s open and flexible cloud computing platform.
情景应用程序 develops and markets a suite of data science and data analytics software, 这有助于访问, 管理, 分析和报告数据，以帮助决策.
情景应用程序在线培训
情景应用程序是分析领域的领导者. 情景应用程序开发并销售一套分析软件, 这有助于访问, 管理, 分析和报告数据，以帮助决策.
表可以帮助任何人查看和理解他们的数据. Connect to almost any database, drag and drop to create visualizations, and share with a click.
创建者、资源管理器、查看器、管理员
表可以帮助任何人查看和理解他们的数据. Connect to almost any database, drag and drop to create visualizations, and share with a click.
通过注册皇冠官网网站的数据科学在线课程, you can gain valuable skills needed in these industry-leading tools and platforms to start your career as a data science analyst.
皇冠官网网站
电子邮件皇冠官网网站电话: 303-615-1234
办公地点:
约旦学生成功大厦
3楼- 330号
Auraria校园
邮寄地址:
密歇根州立大学丹佛
创新与终身学习
P.O. 173362箱
校园包厢6
科罗拉多州丹佛80217-3362