Overview Discover how to visualize your data using Tableau Desktop—and make better, more data-driven decisions. Tableau is a widely used data analytics and visualization tool that many consider indispensable for data-science-related work. Its drag-and-drop interface makes it easy to sort, compare, and analyze data from multiple sources, including Excel, SQL Server, and cloud-based data repositories. …
Overview Learn what you need to know to analyze and display data using Tableau 2020. Discover how to leverage the software to make smarter, more data-driven decisions. Syllabus Introduction 1. Introducing Tableau 2. Managing Data Sources and Visualizations 3. Managing Tableau Worksheets and Workbooks 4. Creating Custom Calculations and Fields 5. Analyzing Data 6. Sorting …
Overview Tableau was made for data science. Learn how to format and filter messy data, use Tableau for data analysis, and visualize data with maps and dashboards. Tableau is designed for data science! Move beyond the basics and delve deeper into the power of this data visualization software. Learn how to deal with messy or …
Overview Get up and running with SPSS Statistics. Learn how to work with the program to make data visualizations, calculate descriptive statistics, and more. Syllabus Introduction 1. What Is SPSS? 2. Getting Started 3. Data Visualization 4. Data Wrangling 5. Recoding Data 6. Exploring Data 7. Clustering and Classification 8. Analyzing Data 9. Building Predictive …
Overview Learn the keys to telling a story with data from data visualization expert Bill Shander. Syllabus Introduction 1. Why Storytelling? 2. Story Structure 3. Story Mechanisms 4. Final Touches Conclusion
Overview Discover how to create compelling data visualizations using Processing, an open-source drawing and development environment. Syllabus Introduction 1. Basics of Visualization2. Basics of Processing 3. Basics of Drawing 4. Variables 5. Drawing Attributes 6. Dynamic Drawings 7. Interaction 8. Media 9. Grouping Code 10. Reading Data 11. Varieties of Data Visualizations 12. Elements of …
Overview Analyze high-volume data using R, the language optimized for big data. Learn how to produce visualizations, implement parallel processing, and integrate with SQL and Apache Spark. Syllabus Introduction 1. Problems and Opportunities with High-Volume Data 2. Visualizing High-Volume Data 3. Working within the R Programming Language 4. Advanced High-Volume Techniques 5. Use R with …
Overview Get up to speed with Hadoop. Learn tips and tricks for doing data science work in this popular big data platform. Syllabus Introduction 1. Working with Files 2. Connecting to Hadoop 3. Complex Data Structures in Hive Conclusion
Overview Jeff Selingo visits LinkedIn Studios to weigh in on the importance of using data when making hiring decisions. Syllabus Data Science Approach to Hiring
Overview Interested in using Python for data analysis? Learn how to use Python, NumPy, and pandas together to analyze data sets large and small. Data science is transforming the way that government and industry leaders look at both specific problems and the world at large. Curious about how data analysis actually works in practice? In …
