数据技能学习路径

Grow your data skills, discover how to manipulate and visualize data, and apply advanced analytics to make data-driven decisions.

Discover the fundamentals of AI, learn to leverage AI effectively for work, and dive into models like ChatGPT to navigate the dynamic AI landscape.

Master the SQL fundamentals needed for business, learn how to write SQL queries, and start analyzing your data using this powerful language.

Data literacy isn't just for data specialists; it's a fundamental life skill that everyone needs.

Gain the essential skills you need to use Power BI. Create your own visualizations and dashboards from scratch. No prior experience required.

Level-up your R programming skills! Learn how to work with common data structures, optimize code, and write your own functions.

Gain the essential skills you need to use Excel, from preparing data to writing formulas and creating visualizations. No prior experience is required.

Learn to create AI-powered applications with the latest AI developer tools, including the OpenAI API, Hugging Face, and LangChain.

From prompt engineering to agentic systems—develop the complete skill set to build AI applications that scale, with an AI tutor by your side.

Discover how AI agents can change how you work and deliver value for your organization!

From understanding to data storytelling - gain valuable Data Literacy Skills to tackle the toughest data challenges.

Prepare for the GitHub Foundations Certification. GitHub Student Developer Pack Learners receive a 100% exam discount code on track completion.

Build your Python programming skills. Learn how to work with modules and packages, work with built-in data types, and write custom functions.

Learn the art of Machine Learning and come away as a boss at prediction, pattern recognition, and the beginnings of Deep and Reinforcement Learning.

Accelerate your AI journey, conquer ChatGPT, and develop a comprehensive Artificial Intelligence strategy.

Prepare for Amazon’s AWS Certified Cloud Practitioner (CLF-C02) by learning how to use and secure core AWS compute, database, and storage services.

Prepare for Microsoft’s Azure Fundamentals certification (AZ-900) by learning the fundamentals of Azure: computing, storage, and networking.

Boost your business SQL skills. Learn how you can use SQL to quickly analyze data and build powerful reports to overcome business problems.

Continue your machine learning journey into deep learning. Use the PyTorch library to create neural networks to model different data types.

Explore the essentials of ChatGPT and prompt engineering. Master crafting prompts to maximize ChatGPT's capabilities.

Learn the essentials of Tableau and develop the skills you need to pass the Tableau Desktop Specialist certification. No prior experience required!

Learn the fundamentals of Java and start building real-world applications with one of the most widely used programming languages in the world.

Acquire the skills necessary to master Alteryx Designer to pass the Alteryx Core Certification exam. No previous experience is required.

Take the pain out of data manipulation using pandas. You’ll learn how to transform, sort, and filter data in DataFrames, ready for quick analysis.

Level-up your programming skills. Learn how to optimize code, write functions and tests, and use best-practice software engineering techniques.

Write code and build software applications faster than ever before with the latest AI developer tools, including GitHub Copilot, Windsurf, and Replit.

Supercharge your Excel skills with Excel Power Tools: Master Power Query, Power Pivot, and the dynamic M Language.

Learn core data concepts, understand how to answer real-world questions using data, and become a more confident data-driven decision-maker.

Get hands-on with Snowflake! Learn to query, model, and manage data in this interactive intro for data engineers, analysts, and BI professionals.

This short track will take your dashboarding and reporting skills to the next level.

Confidently learn to calculate statistics and probability, evaluate statistical models, and draw conclusions from hypothesis tests.

Discover the art of data storytelling. Transform raw information into memorable narratives.

Acquire core competencies in Sigma through hands-on training - learn to make insights, AI apps, and governed analytics. No experience required.

Supercharge your data science skills using Python's most popular and robust data visualization libraries.

Build reliable, scalable data pipelines with dbt Fundamentals, a hands-on track designed for data analysts, data engineers, analytics engineers.

Learn the power of Docker and Kubernetes, this interactive track will allow you to build and deploy applications in modern environments.

Master how to process big data and leverage it efficiently with Apache Spark using the PySpark API.

Learn how to transcribe, and extract exciting insights from books, review sites, and online articles with Natural Language Processing (NLP) in Python.

Learn version control with Git from basics to advanced workflows. Track changes, manage repositories, and collaborate efficiently.

Dive into the foundations of Machine Learning Operations (MLOps), learning the concepts of productionizing and monitoring machine learning models!

Unlock the secrets of data governance: manage, secure, and protect data effectively.

Master AI leadership with this track: monetize AI, build trust with Responsible and Explainable AI, and secure your innovations. Lead with confidence!

Become a Google Sheets master. Learn the core skills you need to analyze data using Google Sheets.

Learn how to build impactful LLM applications, including RAG workflows and agentic systems, using the LangChain framework!

Gain the essential skills you need to analyze financial data in Power BI.

Learn how to extract meaningful insights from time series data in R. Explore how to model, forecast, and visualize time series data.

Gain the starting SQL Server skills you need to summarize data, join tables, and analyze your data using SQL Server functions.

Building APIs in Python teaches you to create and manage APIs with Python and FastAPI through practical, hands-on courses and projects.

Gain the skills you need to manipulate, interpret, and visualize time series data in Python, using pandas, NumPy, and Matplotlib.

Build Python skills for software engineering. Write clean functions, master OOP, data structures, and algorithms, and deliver well-tested code.

Begin creating AI systems using models from OpenAI. Learn how to use the OpenAI API to prompt OpenAI's GPT and Whisper models.

Gain the real-world data prepping skills you need to reveal the insights that matter! Discover how to import, clean, and work with APIs and web data.

Learn to develop large language models (LLMs) with PyTorch and Hugging Face, using the latest deep learning and NLP techniques.

Gain the introductory skills you need to make data-driven financial decisions in Python—using pandas, NumPy, statsmodels, and pyfolio libraries.

Dive in and learn the key SQL Server skills you need to securely set-up, design, and maintain your business’s database.

Apply your Python skills to take on image data! From pre-processing to deep learning, you'll discover the many ways you can leverage image data.

Gain the database skills you need to become a confident, high-earning SQL DBA. Learn how to create, grow, and manage your PostgreSQL database.

You learn about the key features of Gemini and how they can be used to improve productivity and efficiency in Google Workspace.

Discover the power of statistics in R. Learn the key statistical concepts, topics, and techniques used by data scientists and statisticians every day.

Start exploring the world of computational biology with essential Bioconductor packages and workflows for next-generation sequencing data analysis.

Gain the Python skills you need to analyze marketing campaigns, drill into social media data, and use machine learning to predict customer churn.

A broad overview of Gen AI to understand how to leverage Gen AI and Google Cloud for organizational transformation.

Master the foundations of responsible AI. Gain essential ethics, data management, and compliance skills to govern AI across its entire lifecycle.

Bring your data into focus with data visualizations in R using ggplot2. Learn the graphical and plot-building skills to tell better data stories.

Find the latest open-source AI models, datasets, and apps, build AI agents, and fine-tune LLMs with Hugging Face. Join the biggest AI community today!

Elevate your machine learning skills to production level with this focused skill track.

Learn KNIME Analytics Platform and prep for the L1 certification. Gain data preparation, transformation, and visualization skills to build workflows.

Develop AI-powered applications with Snowflake. Master data management and generative AI to create intelligent solutions in the cloud.

Master the EU AI Act and AI fundamentals. Learn to navigate regulations and foster trust with Responsible AI.

Master the fundamentals of reinforcement learning (RL) to create models that can navigate complex real-world environments and train LLMs.

Master the most popular supervised machine learning techniques to begin making predictions with labeled data.

Enhance your Python financial skills. Learn how to evaluate portfolios, calculate credit risk, and create GARCH models to forecast volatility.

Co-created with Corporate Finance Institute (CFI)—gain the finance and Python skills you need to enter the world of finance.

Master GDPR, data privacy, and security to safeguard data, ensure compliance, and build trust in a digital world.

Master the fundamentals of object-oriented programming, including inheritance, polymorphism, type hinting, abstract base classes, and interfaces.

Powerful toolkit for smarter decisions. Build, optimize, and evaluate decision models, avoid bias, and apply analytical thinking to real problems.

Build your knowledge of dates and times, regular expressions, and algorithms in Python!

Explore Python-based statistical analysis to gain essential decision-making skills such as A/B testing and Bayesian models.

Take the pain out of data manipulation using dplyr and tidyr. Learn how to transform, sort, and filter your data, ready for quick analysis.

A core set of skills in statistical inference necessary to understand, interpret, and tune your statistical & machine learning models.

Import and tidy data, wrangle and visualize data, and model and communicate with data in R with the tidyverse.

Discover text mining in R and learn how to extract exciting insights from tweets, product reviews, and books through sentiment analysis in R.

Experiment with Llama 3 to run inference on pre-trained models, fine-tune them on custom datasets, and optimize performance.

Predict categorical and numeric responses via classification and regression, and discover the hidden structure of datasets with unsupervised learning.

Expand your Google Sheet skills. Learn how data validation, statistics, and regular expressions can save you time with Excel and Sheets!

Boost your knowledge in cloud computing. Prepare for the Google Cloud Digital Leader certification exam with this program.

Master data visualization with Plotly and Dash. Create interactive visualizations and dashboards and transform data into valuable business insights.

Gain the real-world skills you need to import and clean your data when working in R—making it possible for you to reveal the insights that matter.

Discover Julia: fast, user-friendly language for all data tasks. Build from basics up to all things DataFrames, with no prior experience required!

Learn how to use Shiny, a popular R package, to build highly interactive web applications and share your analyses as dashboards and visualizations.

Take your machine learning skills to the next level. Use the Keras library to create and optimize neural networks to model complex data types.

Grow the R skills you need to work with social media data, perform market basket analysis, and use machine learning to guide your marketing decisions.

Grow your financial Google Sheet skills. Learn how to build basic business models, use financial formulas, and create loan amortization schedules.

Generate, explore, evaluate, and tune the parameters of different supervised machine learning models.

Gain a foundational understanding of AI agents, from their core architecture to their real-world business impact.

Work with big data in R via parallel programming, interfacing with Spark, writing scalable & efficient R code, and learn ways to visualize big data.

Google DeepMind’s AI Research Foundations curriculum will deepen your understanding of the AI technologies behind language models.

Build beautiful interactive maps, explore your data by zooming into and hovering over plots, and design engaging, dynamic charts in R.

Grow your financial skills in R. Learn how to evaluate portfolios, calculate credit risk, and create GARCH models to forecast volatility.

Gain the introductory skills you need to make data-driven financial decisions in R—using the xts, zoo, tidyquant, and PortfolioAnalytics packages.

Learn to build machine learning models more effectively using more efficient code and clean data in the tidyverse.