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] 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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[Featured Image]: A person uses tools from a Python NLP library as they work on a language processing project.

Navigating a Python NLP Library: What You Need to Know

Explore the benefits of a Python NLP library and learn how to leverage these tools for your language processing projects.

March 18, 2025

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[Featured Image] A diverse group of professionals collaborating in a modern workspace, discussing reinforcement learning algorithms while engaging with a computer.

Reinforcement Learning Algorithms and Use Cases

Reinforcement learning algorithms allow artificial intelligence agents to learn the optimal way to perform a task through trial and error without human intervention. Explore reinforcement learning algorithms such as Q-learning and actor-critic.

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

文章

[Featured Image]: A person uses tools from a Python NLP library as they work on a language processing project.

Navigating a Python NLP Library: What You Need to Know

Explore the benefits of a Python NLP library and learn how to leverage these tools for your language processing projects.

March 18, 2025

文章

Build in-demand data science skills

状态：AI 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：实践项目

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 person is studying how to become a statistician while looking at graphs on their computer and paper printouts on their home desk.

How to Become a Statistician

Learn how to become a statistician, from the education and skills you need to the industries that hire statisticians. Discover career growth opportunities and how to build your expertise in data analysis, statistical modeling, and decision-making.

March 18, 2025

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[Featured image] Colleagues working together to decide whether precision vs recall machine learning is more appropriate to evaluate performance.

Precision vs. Recall in Machine Learning: What’s the Difference?

Learn about two important metrics, precision and recall, when it comes to evaluating a machine learning model beyond just accuracy and error percentage.

March 17, 2025

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[Featured Image] A person with long black hair works on their laptop in an office and navigates ChatGPT using OpenAI temperature.

What Is OpenAI Temperature?

OpenAI temperature is a crucial parameter in determining the type of output ChatGPT provides. Learn more about OpenAI temperature, how it works, and when and how to use it.

March 17, 2025

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[Feature Image] After preparing to answer OpenAI interview questions, applicants wait to meet with interviewers.

10 OpenAI Interview Questions

Prepare for your OpenAI interview with these essential questions and insights. Discover more about how to navigate the interview process effectively.

March 17, 2025

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[Featured image] Two machine learning colleagues working with NLP algorithms in an office.

Demystifying NLP Algorithms: A Comprehensive Guide

Natural Language Processing (NLP) algorithms teach computers to understand human language and respond to it in the most human-like way possible. Learn more about this exciting sub-field of artificial intelligence on Coursera.

March 17, 2025

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[Featured Image] A data scientist sits at a computer, using neural network visualization tools to simplify data.

Essential Tools for Neural Network Visualization

Explore the benefits of neural network visualization tools, such as optimizing model performance, aiding in debugging, and enhancing model transparency.

March 17, 2025

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[Featured image] A machine learning engineer using neural network regularization to correct overfitting using a touchpad.

Neural Network Regularization Techniques

Boost your neural network model performance and avoid the inconvenience of overfitting with these key regularization strategies. Understand how L1 and L2, dropout, batch normalization, and early stopping regularization can help.

March 17, 2025

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[Featured image] A machine learning engineer creating neural network graphs in an office.

Exploring Neural Network Graphs: Understanding the Visual Representation of Deep Learning Models

Neural network graphs are an important part of designing and optimizing your neural network architecture. Explore the basic components of these graphs and common visualization tools.

March 17, 2025

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[Featured image] A machine learning engineer using neural network classification to categorize data in an office.

What Is Neural Network Classification? Techniques and Applications

Neural network (NN) classification is a method of classifying data into categories using machine learning. Learn more about neural network classification algorithms and how they work.

March 17, 2025

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[Featured Image] A diverse group of professionals collaborating in a modern workspace, discussing reinforcement learning algorithms while engaging with a computer.

Reinforcement Learning Algorithms and Use Cases

Reinforcement learning algorithms allow artificial intelligence agents to learn the optimal way to perform a task through trial and error without human intervention. Explore reinforcement learning algorithms such as Q-learning and actor-critic.

March 18, 2025

文章

[Featured Image] A person is studying how to become a statistician while looking at graphs on their computer and paper printouts on their home desk.

How to Become a Statistician

Learn how to become a statistician, from the education and skills you need to the industries that hire statisticians. Discover career growth opportunities and how to build your expertise in data analysis, statistical modeling, and decision-making.

March 18, 2025

文章

[Featured image] Colleagues working together to decide whether precision vs recall machine learning is more appropriate to evaluate performance.

Precision vs. Recall in Machine Learning: What’s the Difference?

Learn about two important metrics, precision and recall, when it comes to evaluating a machine learning model beyond just accuracy and error percentage.

March 17, 2025

文章

[Featured Image] A person with long black hair works on their laptop in an office and navigates ChatGPT using OpenAI temperature.

What Is OpenAI Temperature?

OpenAI temperature is a crucial parameter in determining the type of output ChatGPT provides. Learn more about OpenAI temperature, how it works, and when and how to use it.

March 17, 2025

文章

[Feature Image] After preparing to answer OpenAI interview questions, applicants wait to meet with interviewers.

10 OpenAI Interview Questions

Prepare for your OpenAI interview with these essential questions and insights. Discover more about how to navigate the interview process effectively.

March 17, 2025

文章

[Featured image] Two machine learning colleagues working with NLP algorithms in an office.

Demystifying NLP Algorithms: A Comprehensive Guide

Natural Language Processing (NLP) algorithms teach computers to understand human language and respond to it in the most human-like way possible. Learn more about this exciting sub-field of artificial intelligence on Coursera.

March 17, 2025

文章

[Featured Image] A data scientist sits at a computer, using neural network visualization tools to simplify data.

Essential Tools for Neural Network Visualization

Explore the benefits of neural network visualization tools, such as optimizing model performance, aiding in debugging, and enhancing model transparency.

March 17, 2025

文章

[Featured image] A machine learning engineer using neural network regularization to correct overfitting using a touchpad.

Neural Network Regularization Techniques

Boost your neural network model performance and avoid the inconvenience of overfitting with these key regularization strategies. Understand how L1 and L2, dropout, batch normalization, and early stopping regularization can help.

March 17, 2025

文章

[Featured image] A machine learning engineer creating neural network graphs in an office.

Exploring Neural Network Graphs: Understanding the Visual Representation of Deep Learning Models

Neural network graphs are an important part of designing and optimizing your neural network architecture. Explore the basic components of these graphs and common visualization tools.

March 17, 2025

文章

[Featured image] A machine learning engineer using neural network classification to categorize data in an office.

What Is Neural Network Classification? Techniques and Applications

Neural network (NN) classification is a method of classifying data into categories using machine learning. Learn more about neural network classification algorithms and how they work.

March 17, 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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