Lộ trình học tập kỹ năng dữ liệu

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

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

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

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

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 Power BI. Create your own visualizations and dashboards from scratch. No prior experience required.

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

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.

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

Prepare for the GitHub Foundations Certification by learning the fundamentals of Git and GitHub: version control, collaboration, and branching.

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

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

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

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

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

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

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

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

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.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.

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

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

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

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

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

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

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

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

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

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

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!

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

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

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

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

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

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

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

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

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

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

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

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

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

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.

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

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

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

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

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

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

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

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

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

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

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

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

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.

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

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

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

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

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

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

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

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

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

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

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

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