Data

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.

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[Featured Image] An SQL specialist teaches a professional in a work environment, discussing ways to improve SQL skills.

How to Improve Your SQL Skills in 2026: Tips for Basic, Intermediate, and Advanced Levels

Discover how to improve SQL skills through courses, boot camps, certifications, and more. Uncover the different levels of SQL proficiency and the possible jobs you can get with advanced SQL skills.

November 24, 2025

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[Featured Image] Power BI specialists in a professional workspace, examining Power BI on their computers.

How Long Does It Take to Learn Power BI?

Learning Power BI, a data visualization platform from Microsoft, can take between a couple of hours to a couple of months, depending on your learning goals. Explore how long it takes to learn Power BI through a variety of learning programs.

November 24, 2025

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[Featured Image]: Two people in front of a computer collaborate on feature engineering for machine learning models to improve prediction accuracy.

Feature Engineering for Machine Learning Models: Techniques, Examples, and Best Practices

Learn about the importance of feature engineering for machine learning models, and explore feature engineering techniques and examples.

November 24, 2025

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[Featured Image] An SQL specialist teaches a professional in a work environment, discussing ways to improve SQL skills.

How to Improve Your SQL Skills in 2026: Tips for Basic, Intermediate, and Advanced Levels

Discover how to improve SQL skills through courses, boot camps, certifications, and more. Uncover the different levels of SQL proficiency and the possible jobs you can get with advanced SQL skills.

November 24, 2025

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[Featured Image] Power BI specialists in a professional workspace, examining Power BI on their computers.

How Long Does It Take to Learn Power BI?

Learning Power BI, a data visualization platform from Microsoft, can take between a couple of hours to a couple of months, depending on your learning goals. Explore how long it takes to learn Power BI through a variety of learning programs.

November 24, 2025

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Top data courses

状态：免费试用

IBM

您将获得的技能: Data Storytelling, Data Wrangling, Data Presentation, Big Data, Data Analysis, Data Cleansing, Apache Hadoop, Statistical Analysis, Data Visualization, Apache Hive, Data Mart, Data Warehousing, Apache Spark, Data Science, Analytics, Data Lakes, Data Collection, Microsoft Excel

4.8
评分, 4.8 星，最高 5 星
2.1万 条评论

初级 · 课程 · 1-3 个月

状态：免费试用

IBM

您将获得的技能: Exploratory Data Analysis, Data Analysis, Data Import/Export, Data Manipulation, Data Transformation, Predictive Modeling, Data Cleansing, Data Preprocessing, Model Evaluation, Predictive Analytics, Pandas (Python Package), Regression Analysis, Feature Engineering, Statistical Analysis, Matplotlib, Scikit Learn (Machine Learning Library), Data Visualization, NumPy, Python Programming

4.7
评分, 4.7 星，最高 5 星
2万 条评论

中级 · 课程 · 1-3 个月

状态：免费试用

Google

您将获得的技能: Data Ethics, Data Analysis, Analytics, Data-Driven Decision-Making, Google Sheets, Business Analytics, Spreadsheet Software, Analytical Skills, Tableau Software, Data Sharing, Data Collection, Data Cleansing, Data Processing, Data Visualization Software, Data Visualization, SQL

4.8
评分, 4.8 星，最高 5 星
12万 条评论

初级 · 课程 · 1-4 周

[Featured Image] A freelancer works with ChatGPT plugin alternatives on their laptop at home.

ChatGPT Plugins: Uses and Alternative Options

Discover what ChatGPT plugins were used for before GPTs replaced them. Compare the functionalities and benefits of ChatGPT plugins with GPTs, and learn about related careers and skills in this area.

November 15, 2025

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[Featured image] A UI designer working with Figma at their laptop in a UX design office.

AI Tools to Improve Data Quality (and How to Use Them)

You can use AI tools to improve data quality across various stages of the data lifecycle, including data cleaning, validation, and enrichment. Discover how to use AI to improve data quality and why these tools matter.

November 15, 2025

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[Featured Image] Two colleagues discuss how using AI for scheduling streamlines operations and boosts productivity in their workplace while reviewing tool options on a tablet in a break area.

AI for Scheduling: 6 Tools to Streamline Work in 2026

Learn about tools that allow you to harness the power of AI for scheduling, including what they are, how they work, and how they can benefit you professionally.

November 15, 2025

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[Featured Image] Three professionals in the banking industry use machine learning for fraud detection as they look at a computer screen.

Machine Learning for Fraud Detection: Techniques, Applications, and Career Paths

Discover different types of machine learning for fraud detection to determine which algorithm is best suited for your needs. Plus, explore career paths and how to build your own model.

November 15, 2025

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[Featured Image] A data scientist works with hyperparameter optimization in machine learning as they look at data on several computer monitors.

A Beginner’s Guide to Hyperparameter Optimization in Machine Learning

Explore the role of hyperparameter optimization in machine learning, an important step when training models.

November 15, 2025

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[Featured Image]: A woman speaks into her phone as she practices how to use NotebookLM effectively.

How to Use NotebookLM Effectively to Boost Efficiency

Learn how to use NotebookLM effectively. Google’s AI-powered note-taking tool is designed to help learners and professionals organize, summarize, and interact with their notes.

November 15, 2025

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[Featured Image] A doctor benefits from explainable AI as they read the AI diagnosis on two computer screens displaying images of internal organs and data.

A Beginner’s Guide to Explainable AI and Its Role in Building Trust in AI Systems

Discover explainability in AI systems, why it’s necessary, and how to implement it. Explore the commonly used methods in explainable AI, real-life applications, and the benefits of explainable AI.

November 15, 2025

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[Featured image] Two finance professionals use data annotation in machine learning while looking at a tablet and sitting at their desks with multiple computer screens in the background.

What Is Data Annotation in Machine Learning?

Learn about the types of data annotation in machine learning, which industries use it, its benefits and challenges, and tips on how you can start using this process.

November 15, 2025

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[Featured Image] Two data scientists stand in an office and discuss causal machine learning while looking at a computer screen.

Causal Machine Learning: How AI Moves from Correlation to Causation

Explore how causal machine learning allows artificial intelligence to go beyond predictive analysis to uncover the real-world causes behind data relationships.

November 15, 2025

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[Featured Image]: Two people in front of a computer collaborate on feature engineering for machine learning models to improve prediction accuracy.

Feature Engineering for Machine Learning Models: Techniques, Examples, and Best Practices

Learn about the importance of feature engineering for machine learning models, and explore feature engineering techniques and examples.

November 24, 2025

文章

[Featured Image] A freelancer works with ChatGPT plugin alternatives on their laptop at home.

ChatGPT Plugins: Uses and Alternative Options

Discover what ChatGPT plugins were used for before GPTs replaced them. Compare the functionalities and benefits of ChatGPT plugins with GPTs, and learn about related careers and skills in this area.

November 15, 2025

文章

[Featured image] A UI designer working with Figma at their laptop in a UX design office.

AI Tools to Improve Data Quality (and How to Use Them)

You can use AI tools to improve data quality across various stages of the data lifecycle, including data cleaning, validation, and enrichment. Discover how to use AI to improve data quality and why these tools matter.

November 15, 2025

文章

[Featured Image] Two colleagues discuss how using AI for scheduling streamlines operations and boosts productivity in their workplace while reviewing tool options on a tablet in a break area.

AI for Scheduling: 6 Tools to Streamline Work in 2026

Learn about tools that allow you to harness the power of AI for scheduling, including what they are, how they work, and how they can benefit you professionally.

November 15, 2025

文章

[Featured Image] Three professionals in the banking industry use machine learning for fraud detection as they look at a computer screen.

Machine Learning for Fraud Detection: Techniques, Applications, and Career Paths

Discover different types of machine learning for fraud detection to determine which algorithm is best suited for your needs. Plus, explore career paths and how to build your own model.

November 15, 2025

文章

[Featured Image] A data scientist works with hyperparameter optimization in machine learning as they look at data on several computer monitors.

A Beginner’s Guide to Hyperparameter Optimization in Machine Learning

Explore the role of hyperparameter optimization in machine learning, an important step when training models.

November 15, 2025

文章

[Featured Image]: A woman speaks into her phone as she practices how to use NotebookLM effectively.

How to Use NotebookLM Effectively to Boost Efficiency

Learn how to use NotebookLM effectively. Google’s AI-powered note-taking tool is designed to help learners and professionals organize, summarize, and interact with their notes.

November 15, 2025

文章

[Featured Image] A doctor benefits from explainable AI as they read the AI diagnosis on two computer screens displaying images of internal organs and data.

A Beginner’s Guide to Explainable AI and Its Role in Building Trust in AI Systems

Discover explainability in AI systems, why it’s necessary, and how to implement it. Explore the commonly used methods in explainable AI, real-life applications, and the benefits of explainable AI.

November 15, 2025

文章

[Featured image] Two finance professionals use data annotation in machine learning while looking at a tablet and sitting at their desks with multiple computer screens in the background.

What Is Data Annotation in Machine Learning?

Learn about the types of data annotation in machine learning, which industries use it, its benefits and challenges, and tips on how you can start using this process.

November 15, 2025

文章

[Featured Image] Two data scientists stand in an office and discuss causal machine learning while looking at a computer screen.

Causal Machine Learning: How AI Moves from Correlation to Causation

Explore how causal machine learning allows artificial intelligence to go beyond predictive analysis to uncover the real-world causes behind data relationships.

November 15, 2025

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In today's data-driven world, professionals skilled in data disciplines are in high demand across many industries. 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 and analytics to start your journey in this exciting and rewarding domain.

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

Frequently Asked Questions (FAQ)