课程
Conditional Formatting in Google Sheets
- 基础技能水平
- 4.8+
- 91 条评价
Learn how to use conditional formatting with your data through built-in options and by creating custom formulas.
数据处理
观看专家讲师的短视频,然后在浏览器中通过互动练习实践所学内容。
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课程
Learn how to use conditional formatting with your data through built-in options and by creating custom formulas.
数据处理
课程
Dive into our Tableau case study on supply chain analytics. Tackle shipment, inventory management, and dashboard creation to drive business improvements.
数据可视化
课程
Learn how to translate your SAS knowledge into R and analyze data using this free and powerful software language.
软件开发
课程
In this course, youll prepare for the most frequently covered statistical topics from distributions to hypothesis testing, regression models, and much more.
概率与统计
课程
Enhance your Tableau skills with this case study on inventory analysis. Analyze a dataset, create calculated fields, and create visualizations.
数据可视化
课程
Build end-to-end data pipelines in Snowflake: ingest, transform with SQL and Snowpark, deliver, and orchestrate.
数据工程
课程
Learn how to analyse and interpret ChIP-seq data with the help of Bioconductor using a human cancer dataset.
概率与统计
课程
In this course youll learn how to apply machine learning in the HR domain.
机器学习
课程
Gain an overview of all the skills and tools needed to excel in Natural Language Processing in R.
机器学习
课程
Learn how bonds work and how to price them and assess some of their risks using the numpy and numpy-financial packages.
应用金融
课程
In this course youll learn how to create static and interactive dashboards using flexdashboard and shiny.
报告
课程
Unleash the power of language models with fine-tuning. In this course, you will learn how to adjust a pre-trained model to a specific task.
云计算
课程
Learn how to leverage Bayesian estimation methods to make better inferences about linear regression models.
概率与统计
课程
Learn Google Cloud essentials including computing, storage, networking, and resource management through videos and hands-on labs in this foundational course.
云计算
课程
Practice Tableau with our healthcare case study. Analyze data, uncover efficiency insights, and build a dashboard.
数据可视化
课程
This course introduces the Cloud Run serverless platform for running applications.
云计算
课程
n this Google DeepMind course you will focus on the training process for machine learning models.
云计算
课程
Learn how to analyze business processes in R and extract actionable insights from enormous sets of event data.
报告
课程
Analyze time series graphs, use bipartite graphs, and gain the skills to tackle advanced problems in network analytics.
概率与统计
课程
Advance your Alteryx skills with real fitness data to develop targeted marketing strategies and innovative products!
数据准备
课程
You will use Net Revenue Management techniques in Google Sheets for a Fast Moving Consumer Goods company.
应用金融
课程
This course covers the basics of financial trading and how to use quantstrat to build signal-based trading strategies.
应用金融
课程
Learn how to analyze survey data with Python and discover when it is appropriate to apply statistical tools that are descriptive and inferential in nature.
概率与统计
课程
In this course, you learn to analyze and choose the right database for your needs, to effectively develop applications on Google Cloud.
云计算
课程
Elevate your analysis with this hands-on course using SQL with DataLab workbooks.
报告
课程
Learn how to perform advanced dplyr transformations and incorporate dplyr and ggplot2 code in functions.
数据处理
课程
Learn to use Googles Agent Development Kit (ADK) to build complex, production-ready AI agents with a code-first, structured development approach.
云计算
课程
Take your Julia skills to the next level with our intermediate Julia course. Learn about loops, advanced data structures, timing, and more.
软件开发
课程
Learn to analyze, plot, and model multivariate data.
概率与统计
课程
Learn to compose, send, and manage email in Gmail, organize messages with labels, and configure settings like filters and signatures.
云计算
数据科学是一个专注于从数据中获取信息的专业领域。数据科学家使用编程技能、科学方法、算法等来分析数据,形成可操作的洞察。
您需要学习 Python 或 R 等编程语言,掌握数学和统计学原理。数据分析方法和数据科学工具的知识也是必不可少的。学习数据科学有很多方法。除了正式的教育途径,如学位或大学学习,还有很多其他资源可以帮助您按自己的节奏学习。除了在线课程和教程,还有书籍、视频等。
除了数学和统计学知识,数据科学家还需要 Python、R 和 SQL 等语言的编程技能。此外,数据科学需要处理大型数据集的能力、数据可视化、数据整理和数据库管理知识。机器学习和深度学习技能也很有用。
在专业领域,几乎每个行业都可以在某种程度上使用数据科学。医疗机构使用数据科学来检测和治疗疾病,金融公司用它来检测和预防欺诈。各种行业都将数据科学用于营销,如构建推荐系统和分析客户流失。
是的,数据科学是美国和全球增长最快的行业之一。它也是薪酬最高的职业之一。根据 Payscale 的数据,在美国,有经验的数据科学家平均收入为 97,609 美元,满意度评分为五星中的四星。
这里有几个需要考虑的因素。首先,数据科学学位的竞争可能很激烈,通常需要持续的高分。同样,数据科学所需的许多技能需要大量的学习和耐心。掌握所有必要的基础知识可能需要几个月的时间,还需要大量的实践经验才能获得入门级职位。
是的,您需要一些 Python、R、SQL、Java 和 C/C++ 等语言的编程经验。不过,由于语法相对简单,Python 编程语言通常是新手的首选。
对于没有编程经验和/或数学背景的人来说,通常需要 7 到 12 个月的密集学习才能达到入门级数据科学家的水平。但是,重要的是要记住,仅仅学习数据科学的理论基础可能不会让您成为真正的数据科学家。
掌握数据科学基础后,您可以专攻各种领域,包括机器学习、人工智能、大数据分析、商业分析和智能、数据挖掘等。
随时随地通过我们的移动课程和每日 5 分钟编程挑战提升技能。