Data Science

通过 Coursera 探索数据科学世界，开启新的职业目标。无论您是刚刚入门还是深入研究数据，我们都能为您提供帮助。

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[Featured Image] Two engineers use few-shot learning to train a robotic device.

What Is Few-Shot Learning?

Explore what few-shot learning is, how it’s used across professional fields, and what to consider when deciding if this approach is right for your application.

March 18, 2025

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[Featured image] A team of machine learning engineers in an office discussing what is bias in machine learning.

What Is Bias in Machine Learning?

Bias in machine learning occurs when AI models perpetrate human errors. Uncover the critical aspects of bias in machine learning, its types, impacts, and how to address it for better model fairness and accuracy.

March 18, 2025

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[Feature Image] An aspiring data scientist searches “What is batch normalization” on their laptop as they plan their coursework for their degree.

What Is Batch Normalization? Batch normalization explained

Begin your understanding of batch normalization, a technique revolutionizing neural network training, by learning what batch normalization is and why it’s important in deep learning.

March 18, 2025

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[Featured Image] Two engineers use few-shot learning to train a robotic device.

What Is Few-Shot Learning?

Explore what few-shot learning is, how it’s used across professional fields, and what to consider when deciding if this approach is right for your application.

March 18, 2025

文章

[Featured image] A team of machine learning engineers in an office discussing what is bias in machine learning.

What Is Bias in Machine Learning?

Bias in machine learning occurs when AI models perpetrate human errors. Uncover the critical aspects of bias in machine learning, its types, impacts, and how to address it for better model fairness and accuracy.

March 18, 2025

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Build in-demand data science skills

状态：工作技能

IBM

您将获得的技能: Data Storytelling, Dashboard, Data Presentation, Plotly, Data Visualization Software, Web Scraping, Data Visualization, Exploratory Data Analysis, SQL, Unsupervised Learning, Interactive Data Visualization, Supervised Learning, Data Analysis, Jupyter, Model Evaluation, Data Manipulation, Data Literacy, Generative AI, Professional Networking, Data Import/Export

攻读学位

4.6
评分, 4.6 星，最高 5 星
15万 条评论

初级 · 专业证书 · 3-6 个月

状态：职业准备就绪

Google

您将获得的技能: Data Storytelling, Data Visualization, A/B Testing, Sampling (Statistics), Data Analysis, Exploratory Data Analysis, Regression Analysis, Data Visualization Software, Data Presentation, Data Ethics, Feature Engineering, Statistical Hypothesis Testing, Statistics, Statistical Analysis, Data Science, Tableau Software, Machine Learning, Object Oriented Programming (OOP), Interviewing Skills, Python Programming

攻读学位

4.8
评分, 4.8 星，最高 5 星
1.1万 条评论

高级设置 · 专业证书 · 3-6 个月

Packt

您将获得的技能: Data Science, Statistical Inference, Data Visualization, Pandas (Python Package), Probability & Statistics, Statistics, Regression Analysis, Apache Hadoop, Big Data, Machine Learning, Data Manipulation, Data Preprocessing, Data Analysis, Analytics, Random Forest Algorithm, Python Programming, Data Mapping, Object Oriented Programming (OOP), JavaScript Frameworks, HTML and CSS

中级 · 课程 · 1-3 个月

[Featured Image] A computer engineer is programming the appropriate batch size on a computer.

What Does Batch Size Mean in Deep Learning? An In-Depth Guide

Learn about the hyperparameter batch size and how it affects the speed at which you train a deep learning model such as a neural network.

March 18, 2025

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[Featured Image] Two aspiring data scientists search “what are hyperparameters” as they complete an assignment collaborating on a machine-learning project.

What Are Hyperparameters?

Explore the role hyperparameters play in designing effective machine learning models.

March 18, 2025

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[Feature Image] An aspiring big data analyst discusses the best ways to measure veracity in big data with their mentor.

What Is Veracity in Big Data?

Learn why veracity is one of the five Vs of big data, what it is, and how it affects modern industries.

March 18, 2025

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[Featured Image] A person sits in his home office using his phone and laptop to analyze stock market trends using VAE technology.

VAE vs. GAN: What’s the Difference?

Both variational autoencoders and generative adversarial networks can generate novel data and multimedia. However, each technology takes a different approach. Explore VAEs and GANs, including how they work and what you can do with them.

March 18, 2025

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[Featured Image] Coworkers discuss the roles of data science vs. computer science in determining company processes and decisions.

Data Science vs. Computer Science: What’s the Difference?

Both data science and computer science are prominent technology fields today. Discover the similarities and differences between data science vs. computer science.

March 18, 2025

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[Featured Image] A professional researches the average data visualization salary on a laptop while in their kitchen as they plan a potential career change.

Data Visualization Salary Guide 2026

Explore the average data visualization salary and how factors like education, experience, and location affect how much you can earn.

March 18, 2025

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[Featured Image] Two data scientists look at a computer screen in their office and discuss Spark versus MapReduce.

Spark vs. MapReduce: What’s the Difference?

Learn about two Apache Software Foundation big data architectures, Spark and MapReduce, by exploring how they differ, their use cases, and when you need one or both for your data processing needs.

March 18, 2025

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[Feature Image] An aspiring computer vision professional researches semantic segmentation versus instance segmentation on a laptop to learn more about the two algorithms’ uses.

Semantic Segmentation vs. Instance Segmentation: What’s the Difference?

Explore two fundamental computer vision algorithms: semantic segmentation and instance segmentation. Learn how each operates and how to pick the proper option for your task.

March 18, 2025

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[Featured Image] Three machine learning professionals look at a computer screen in an office setting and discuss scaling laws for neural language models.

Understanding Scaling Laws for Neural Language Models

Scaling laws for neural language models explain how performance improves with increased model size, data, and computational resources. Explore neural language scaling laws, their users, and their importance when developing and deploying AI technology.

March 18, 2025

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[Feature Image] An aspiring data scientist searches “What is batch normalization” on their laptop as they plan their coursework for their degree.

What Is Batch Normalization? Batch normalization explained

Begin your understanding of batch normalization, a technique revolutionizing neural network training, by learning what batch normalization is and why it’s important in deep learning.

March 18, 2025

文章

[Featured Image] A computer engineer is programming the appropriate batch size on a computer.

What Does Batch Size Mean in Deep Learning? An In-Depth Guide

Learn about the hyperparameter batch size and how it affects the speed at which you train a deep learning model such as a neural network.

March 18, 2025

文章

[Featured Image] Two aspiring data scientists search “what are hyperparameters” as they complete an assignment collaborating on a machine-learning project.

What Are Hyperparameters?

Explore the role hyperparameters play in designing effective machine learning models.

March 18, 2025

文章

[Feature Image] An aspiring big data analyst discusses the best ways to measure veracity in big data with their mentor.

What Is Veracity in Big Data?

Learn why veracity is one of the five Vs of big data, what it is, and how it affects modern industries.

March 18, 2025

文章

[Featured Image] A person sits in his home office using his phone and laptop to analyze stock market trends using VAE technology.

VAE vs. GAN: What’s the Difference?

Both variational autoencoders and generative adversarial networks can generate novel data and multimedia. However, each technology takes a different approach. Explore VAEs and GANs, including how they work and what you can do with them.

March 18, 2025

文章

[Featured Image] Coworkers discuss the roles of data science vs. computer science in determining company processes and decisions.

Data Science vs. Computer Science: What’s the Difference?

Both data science and computer science are prominent technology fields today. Discover the similarities and differences between data science vs. computer science.

March 18, 2025

文章

[Featured Image] A professional researches the average data visualization salary on a laptop while in their kitchen as they plan a potential career change.

Data Visualization Salary Guide 2026

Explore the average data visualization salary and how factors like education, experience, and location affect how much you can earn.

March 18, 2025

文章

[Featured Image] Two data scientists look at a computer screen in their office and discuss Spark versus MapReduce.

Spark vs. MapReduce: What’s the Difference?

Learn about two Apache Software Foundation big data architectures, Spark and MapReduce, by exploring how they differ, their use cases, and when you need one or both for your data processing needs.

March 18, 2025

文章

[Feature Image] An aspiring computer vision professional researches semantic segmentation versus instance segmentation on a laptop to learn more about the two algorithms’ uses.

Semantic Segmentation vs. Instance Segmentation: What’s the Difference?

Explore two fundamental computer vision algorithms: semantic segmentation and instance segmentation. Learn how each operates and how to pick the proper option for your task.

March 18, 2025

文章

[Featured Image] Three machine learning professionals look at a computer screen in an office setting and discuss scaling laws for neural language models.

Understanding Scaling Laws for Neural Language Models

Scaling laws for neural language models explain how performance improves with increased model size, data, and computational resources. Explore neural language scaling laws, their users, and their importance when developing and deploying AI technology.

March 18, 2025

文章

In today's data-driven world, professionals skilled in data science are in high demand. A career in this fast-growing field provides opportunities to use technical skills to drive meaningful business impact. Explore the diverse career paths, essential skills, and job types within data science to start your journey in this exciting and rewarding domain.

Ready to start learning? Explore our catalog of data science, data visualization, and big data courses for beginners and experienced professionals.

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