Data 职业教育，技巧和洞察力 | Coursera

Data is everywhere, and exciting career opportunities can be found in almost every industry. Discover the possibilities in data science, data analytics, research, and more with these informative guides.
Love data and want a career that's both in-demand AND rewarding? This video breaks down two hot roles - Data Analyst and Business Analyst - to help you choose the path that's right for you.
Pursuing data analytics certification could start or advance your career as a data analyst. Learn who can benefit from a data analytics certification and explore which credential might be right for your career goals.
Discover how refining your approach to AI can protect and enhance your creative vision.
Learn about autoencoders, a type of neural network used for feature extraction, and their use cases in areas such as text and image generation.
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.
Learn about autoencoders, a type of neural network used for feature extraction, and their use cases in areas such as text and image generation.
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.
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
Explore Mixture of Experts, including the use cases and benefits of this approach to machine learning.
Understand how the Rust programming language works, its main features, what you might use it for, and how it differs from other programming languages like C++, Python, and Go. Discover use cases and comparison to other languages.
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.
Learn how to use Claude Code in the terminal, alongside VS Code and Cursor, and on the web. Explore practical coding workflows, debugging, Git, and tips for getting better results.
Learn about the A* algorithm, including how it works, its performance relative to other popular search algorithms, and real-world use cases.
Learn more about GraphRAG, an advanced, graph-based version of retrieval augmented generation (RAG), and explore its benefits in improving the context and accuracy of AI applications.
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.
Explore the key concepts of graph theory and how it relates to real-world applications in computer science, biology, and social networks to model relationships, structures, and networks.
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.
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.
Explore Mixture of Experts, including the use cases and benefits of this approach to machine learning.
Understand how the Rust programming language works, its main features, what you might use it for, and how it differs from other programming languages like C++, Python, and Go. Discover use cases and comparison to other languages.
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.
Learn how to use Claude Code in the terminal, alongside VS Code and Cursor, and on the web. Explore practical coding workflows, debugging, Git, and tips for getting better results.
Learn about the A* algorithm, including how it works, its performance relative to other popular search algorithms, and real-world use cases.
Learn more about GraphRAG, an advanced, graph-based version of retrieval augmented generation (RAG), and explore its benefits in improving the context and accuracy of AI applications.
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.
Explore the key concepts of graph theory and how it relates to real-world applications in computer science, biology, and social networks to model relationships, structures, and networks.
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.
Explore articles about data science, data analytics, and research. Learn about careers in data, essential analytical skills, and how to build the knowledge needed for opportunities across a wide range of industries.
Interested in data analytics? Find out more about wha