What you'll learn:
- Understand Alteryx platform and how it works
- Work with different types of Data Inputs
- Work with renaming fields, changing data types, and sorting
- Work with Data Blending in Alteryx
- Create Filters
- Create Formulas
- Create Samples
- Understand types of Joins and how they work
- Create Unions
- Work with Appending data
- Work with Fuzzy Match, Make Group, and Find & Replace tools
- Create String to Date/Time formats and Date/Time to String formats
- Create Regular Expressions and Text to Columns
- Work with pivoting orientation of data using Crosstab, Transpose, and Arrange tools
- Create Running Totals and Record Counts
- Understand different types of Aggregations with Summarize and Weighted Average tools
- Create a report from start to finish using multiple tools in the Reporting tool palette
Self-Service Data Analytics, the opportunities are increasing in demand fordata preparation, blending,advanced analytics, andsharing of insights. According to Research and Markets, the global operational analytics market is expected to grow from USD 4.65 billion in 2016 to USD 10.93 billion by 2021.Companies worldwide are looking for data they can take action uponin hours, not weeks.Alteryx Analytics provides analysts with the ability to easily prep, blend and analyze all of their data using a repeatable workflow.
Use Alteryx and Analyze Datafor Deeper Insights
- Connect and cleanse data from data warehouses, cloud applications, spreadsheets, and other sources
- Data Prep,Analyze, Blend, Join, and Aggregate Data
- Perform self-service data analyticsand create reporting layouts in tables and charts
This course is meant for all skill levels, primarily beginnersto learnand continue expanding your knowledge of Alteryx Analytics. Each section provides new tools to use to apply what you're learning immediately.
This is your step-by-step actionableguide to sharing insights from data within minutes by learning the tools to use forself-service data analytics.
You'll be fully prepared to data prep,analyze, examine, and present data for deeper and faster insights.
