A Practical Guide to Alteryx for Data Science & Analytics

Step by Step Guide to Alteryx Workflow Automation for Business Analytics with Data Science & Analysis

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Description

Start designing and executing automated business analytics workflows with Alteryx Designer by learning from an Alteryx Certified Partner today!

In this course I will cover the three main steps to data science and business analytics:

  1. Data Management

  2. Data Wrangling

  3. Data Analytics

I will be guiding you through this course using practical datasets for real world applications, not only will we cover the details of the Alteryx and data science, there will also be meaningful exercises, walkthrough solutions, tips and tricks, and useful resources. Together, we will walk through the entire process of designing an automated workflow step by step.

By the end of this course, you will be able to design a fully automated workflow and will have mastered the 3 step process to data science and the fundamentals of Alteryx!

So, what are you waiting for? Get started on learning how to ALTER EVERYTHING!

What You Will Learn!

  • Learn the 3 Step Process to Data Science: Data Management, Data Wrangling, and Data Analytics
  • Master the Fundamentals of ETL and Alteryx Designer Platform
  • Create Fully Automated Reports with Custom Visualizations and Insights
  • Leverage Alteryx to Improve Business Process Automation for Business Intelligence and Business Analytics
  • Learn about Data Preparation, Data Cleansing / Cleaning, Data Joinery, Data Transformation, and Data Integration
  • Create unique Data Analysis with Custom Formulas and Calculations
  • Learn about Spatial Analysis / Geo Analytics in Alteryx
  • Integrate Basic R Script & Python codes into your workflow

Who Should Attend!

  • This course is for you if you're tired of doing manual & repetitive tasks and want to automate your work
  • This course is for you if you want a step by step guide to Alteryx with practical datasets for real world applications
  • This course is for you if you work with data in your professional career.
  • This course is for you if you're an academic student currently pursuing a STEM education and career.