Learn how generative AI and large language models work, what makes them so powerful, and how to apply them to make smarter, faster decisions

Build foundational data literacy skills to interpret, manage, analyze and communicate with data, and make smarter, more impactful decisions

Master foundational skills for managing, analyzing and communicating with data in Excel, with hands-on, real-world projects

Learn NLP in Python, including text preprocessing, machine learning, transformers & LLMs using scikit-learn, spaCy & Hugging Face

A visual breakdown of the calculations and training process behind deep learning models.

Learn how craft a winning resume to showcase your strengths, impress recruiters, and maximize your odds of landing an interview

Learn how to build and host an eye-catching project portfolio to demonstrate your skills and showcase your best work

Take your BI skills to the cloud with Power BI Service, and learn how to publish, collaborate, and share your work online

Learn how to manage, analyze and visualize data with Google Sheets, and build practical data literacy skills by completing real-world assignments

Learn how to leverage AI tools like ChatGPT to work smarter and faster with tools like Excel, Google Sheets, Power BI, SQL and Python

Create interactive visuals, dashboards and web applications using Python's Plotly & Dash libraries

Master the basics of NumPy and Pandas for data analysis, and learn how to explore, transform, aggregate, join and visualize dataframes

Learn the basics of Unsupervised ML, including cluster analysis, association mining, outlier detection & dimensionality reduction

Explore the building blocks of regression and time-series forecasting, and learn how to apply them to real-world projects

Learn powerful classification models for data-driven predictions, including decision trees, logistic regression, KNN, and more

Explore and prepare raw data for machine learning, and apply a range of univariate & multivariate data profiling techniques

Build expert-level BI skills and solve real-world projects with advanced Data Analysis Expressions (DAX)

Explore and analyze relational databases with MySQL, with hands-on assignments and real-world case studies

Think outside the pie chart and explore powerful visualization tools like maps, form controls, sparklines, and more

Save time and work more efficiently with Excel productivity tools like shortcuts, flash fill, named ranges, and more

Master 75+ formulas & functions, and transform Excel into a dynamic and powerful analytics tool

Master the art and science of prompt design, and learn how to guide AI systems with clarity and context using proven frameworks and advanced techniques

Build a full-scale business intelligence solution from scratch, using one of the world’s most powerful BI platforms

Explore the impact of bias and other ethical issues in the age of data & AI, and the importance of responsible data collection and stewardship

Learn the basics of cloud technology for data analytics, and get to know key players like AWS, GCP, Azure & Snowflake

Understanding large language models: transformers, embeddings, and attention explained

Learn how to leverage LinkedIn to grow your network, build your personal brand, and earn credibility with peers and employers

Learn why data skills are more important than ever, and explore tools and resources to help you find your perfect career path

Master the foundations of unsupervised learning in Python, including clustering, anomaly detection, dimensionality reduction, and recommenders

Master the foundations for regression analysis in Python, including linear & regularized regression, forecasting, and validation & testing

Learn how to build automated, repeatable workflows for extracting, transforming and analyzing raw data with Alteryx Designer

Learn essential statistics for data analysis, including probability distributions, confidence intervals, hypothesis tests, regression and more

Learn how to create, manage, publish, and share reports and dashboards using Tableau Server and Tableau Online

Bring your data to life with dynamic, interactive Excel dashboards, and build 3 real-world projects from scratch

Crash course for aspiring analytics & BI professionals looking to build the foundation for a successful career

Learn how to combine, shape, clean and prepare raw data for analysis using Tableau Prep

Master the skills you need to ace the MO-201 Exam and become a certified Microsoft Excel Expert

Learn how to build, optimize, and administer relational databases using MySQL and MySQL Workbench

Sample some of Excel’s most powerful analytics tools, like forecasting, optimization, Monte Carlo simulation, and more

Expand your formula skills with powerful techniques like auditing tools and complex nested functions

Build and analyze data models using Excel’s trio of self-service BI tools: Power Query, Power Pivot & DAX

Design clear and effective charts and graphs, create advanced custom visuals, and master 20+ chart types in Excel

Learn how to think critically in an AI-driven world, and master frameworks for reasoning, problem framing, hypothesis testing, data analysis and communication

Learn advanced data analysis with SQL, and master topics like subqueries, CTEs, window functions, and more

Learn how to analyze and visualize data with Tableau Desktop, and build real-world projects & dashboards

Step-by-step guide to finding your path, building your brand, acing the interview, and landing your analytics dream job

Learn how to interview with confidence, and apply proven frameworks to crack even the toughest questions and technical assessments

Learn how to network smarter, and apply proven tactics to expand your reach, connect with great people, and discover new opportunities

Accelerate your Excel skills with Microsoft Copilot, and learn Generative AI for formulas, data analysis, visualization and more

Master the foundations of classification modeling in Python, including KNN, logistic regression, decision trees, random forests, and GBMs

Master the foundations of Python for data science, including scoping, data gathering & cleaning, EDA, and feature engineering

Learn the basics and best practices of financial modeling, including forecasting, flows & balances, three statement models and more

Learn how to build custom visuals and reports using Python's most popular data visualization libraries: Matplotlib & Seaborn

Master the core building blocks of Python for data analysis, including data types, variables, conditional logic, loops, functions and more

Optimize Tableau Desktop performance and learn how to build fast, scalable, and user-friendly dashboards

Complete, hands-on guide to acing the PL-300 Power BI Exam and becoming a Microsoft Certified Power BI Data Analyst Associate

Learn Advanced SQL skills for building, optimizing, and administering relational databases using MySQL Workbench

Build expert-level Tableau skills by mastering relationships, advanced calculations, predictive analytics, and dynamic design

Learn advanced SQL techniques for marketing analytics, and apply them to real-world cases using a custom-built ecommerce database

Learn advanced Pivot Table techniques like value grouping, complex filters, data caching, and custom sort lists

Transform Excel worksheets into clear and polished reports using powerful formatting tools and techniques

Learn how to explore and analyze your data using Pivot Tables & Pivot Charts, with 10 real-world case studies