Partial book profile
Learning Alteryx A beginners guide to using Alteryx for self-service analytics and business intelligence
Renato Baruti
A beginner's guide to using Alteryx Designer to prepare, blend, transform, and analyze data through repeatable drag-and-drop workflows without coding, and to share the resulting insights across an organization.
The full book profile is not available yet.
What it’s about
Learning Alteryx takes aspiring data professionals from installation to sharing enterprise-ready analytics, teaching self-service analytics without a single line of code. Through hands-on healthcare datasets, it walks readers step-by-step through building efficient workflows: connecting to data, optimizing performance, cleansing and blending, writing formula expressions, transforming and aggregating, parsing, creating data-driven reports, building reusable macros, and deploying to Alteryx Server and Gallery. Rather than spending weeks wrestling with Excel or SQL, readers learn to derive deeper insights in hours using an intuitive, repeatable workflow platform. The book emphasizes practical best practices, tips, and tricks so readers can build optimized, well-organized workflows and confidently deliver and share insights with decision makers.
The through-line
- Who it’s for
- An aspiring data professional or analyst who wants to prepare, blend, and analyze data to answer complex business questions quickly, without needing to code.
- The problem
- Analyzing and blending large volumes of data from multiple sources is slow and difficult using legacy tools like Excel, Access, and SQL. The analyst feels frustrated and overwhelmed by manual data cleansing and slow turnaround that delays business decisions.
- The plan
- Install Alteryx Designer and learn the interface and tool palettes.
- Optimize workflows for resources and speed, and connect to data sources.
- Prepare, cleanse, filter, join, and union data into reliable datasets.
- Write expressions and transform, aggregate, and parse data.
- Create data-driven reports and reusable macros.
- The payoff
- You cleanse, prep, blend, and join data confidently without coding. · You build efficient, well-designed, optimized workflows that run fast. · You deliver and share insights with decision makers in hours, not weeks.
See our guide
Related profiles we’ve built
- A Practical Guide To Conjoint Analysis →
- Analytics at Work: Smarter Decisions, Better Results →
- Big Data: A Revolution That Will Transform How We Live, Work, and Think →
- Big Data_ A Very Short Introduction (Very Short Introductions) →
- Business Adventures →
- Business Intelligence Guidebook: From Data Integration to Analytics →
- Data Mining for Business Analytics: Concepts, Techniques, and Applications →
- Data Warehouse and Data Mining →
Featured in these guides
- Practice Business Intelligence & Data Science →Cited source
Co-cited books
- Alteryx Designer The Definitive Guide (Fifth Early Release) · Joshua Burkhow
- Analytics at work smarter decisions, better results · Davenport, Thomas H., 1954-, Harris etc.
- Operations Research for Social Good A Practitioners Introduction Using SAS® and Python
- Business Intelligence and Big Data Business Intelligence and Big Data Drivers of Organizational Success
- Data Analytics for Business Lessons for Sales, Marketing, and Strategy
- Predictive Business Analytics
- Cultural Analytics
- Competing on analytics the new science of winning · Davenport, Thomas H., 1954- author, Harris etc.