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Data Analytics 职业教育,技巧和洞察力 | Coursera
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正文约 6000 字
在这个"双十一",致力于职业发展 。Coursera Plus全年会员享8折优惠。
Data analytics is the collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision making. Learn more about data analytics and career opportunities with these resources.
Descriptive, predictive, and prescriptive analytics are methods of analyzing data to gain actionable insight. Explore the differences between these advanced analytics methods and learn how they work together to guide data-driven decisions.
Getting into data analysis or data science? Then you NEED to understand data wrangling - the secret sauce that turns raw, messy data into a reliable foundation for analysis!
Data interpretation is turning complex facts into usable insight. Explore how you can use data interpretation to improve your business processes, careers where you can interpret data, and mathematical tools for data analysis.
Discover what the standard normal distribution is, how to calculate z-scores, and how to read a z-table to find accurate probabilities in statistics.
Learn what a Poisson distribution is, how to break down the formula, and when to choose it. Plus, explore real-world examples and how you can begin practicing this skill.
The central limit theorem is a statistical concept that describes the behavior of data. Learn more about what it is and how to apply it.
Discover what the standard normal distribution is, how to calculate z-scores, and how to read a z-table to find accurate probabilities in statistics.
Learn what a Poisson distribution is, how to break down the formula, and when to choose it. Plus, explore real-world examples and how you can begin practicing this skill.
Discover courses in data analytics
您将获得的技能: Data Storytelling, Rmarkdown, Data Visualization, Data Presentation, Data Ethics, Data Cleansing, Data Validation, Ggplot2, R (Software), Tableau Software, Sampling (Statistics), Spreadsheet Software, Data Analysis, Stakeholder Communications, Data Processing, Object Oriented Programming (OOP), File Management, Web Presence, Data Structures, Interviewing Skills
★ 4.8 (18万) · 初级 · 专业证书 · 3-6 个月
您将获得的技能: Data Storytelling, Data Mining, Extract, Transform, Load, Data Presentation, Data Analysis, Dashboard, Analysis, Analytics, Data Visualization, Big Data, Data Storage Technologies, Analytical Skills, Data Wrangling, Data Science, Data Mart, Data Warehousing, Data Processing, Data Storage, Data Lakes, Microsoft Excel
★ 4.7 (2.1万) · 初级 · 课程 · 1-3 个月
您将获得的技能: Data Ethics, Data Analysis, Analytics, Data-Driven Decision-Making, Spreadsheet Software, Analytical Skills, Tableau Software, Analysis, Data Sharing, Data Cleansing, Data Processing, Data Visualization Software, Data Visualization, SQL
★ 4.8 (12万) · 初级 · 课程 · 1-4 周
Discover what web scraping is and how it works, as well as its use cases across industries. Learn more about popular web scraping tools and the challenges and ethical considerations associated with web scraping.
INDEX MATCH is a powerful Excel lookup method for finding and returning data. Learn how it works, when to use it, and how to avoid common formula mistakes.
Discover how the Gaussian distribution works, what the formula tells you, and how to create a bell curve in Excel.
Explore what ordinary least squares regression is and what each component of the formula means. Plus, break down each assumption and learn how to tell whether this model is the right choice for your data.
Explore the definition of the Bernoulli distribution, and what each part of the equation means, how it shows up in everyday events, and how you can use it in professional settings.
Learn about the difference between quantitative data and qualitative data, how to collect it, and how it informs your business decisions.
Explore quantitative analysis, including examples, methods, and real-world applications. Understand the difference between quantitative and qualitative analysis, and how organizations use it to make decisions.
Learn more about Power BI dashboards, including how to employ this data visualization tool to track performance, analyze trends, and make data-driven decisions.
Learn about qualitative data and how to use this non-numerical data in a research project by exploring different data collection methods, what makes it different from quantitative data, and how to code it to look for themes and patterns.
The central limit theorem is a statistical concept that describes the behavior of data. Learn more about what it is and how to apply it.
Discover what web scraping is and how it works, as well as its use cases across industries. Learn more about popular web scraping tools and the challenges and ethical considerations associated with web scraping.
INDEX MATCH is a powerful Excel lookup method for finding and returning data. Learn how it works, when to use it, and how to avoid common formula mistakes.
Discover how the Gaussian distribution works, what the formula tells you, and how to create a bell curve in Excel.
Explore what ordinary least squares regression is and what each component of the formula means. Plus, break down each assumption and learn how to tell whether this model is the right choice for your data.
Explore the definition of the Bernoulli distribution, and what each part of the equation means, how it shows up in everyday events, and how you can use it in professional settings.
Learn about the difference between quantitative data and qualitative data, how to collect it, and how it informs your business decisions.
Explore quantitative analysis, including examples, methods, and real-world applications. Understand the difference between quantitative and qualitative analysis, and how organizations use it to make decisions.
Learn more about Power BI dashboards, including how to employ this data visualization tool to track performance, analyze trends, and make data-driven decisions.
Learn about qualitative data and how to use this non-numerical data in a research project by e
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