מה צריך לדעת לפני
שתתחיל

מתחיל 4 June 2026 03:29

נגמר 4 June 2026

00 ימים
00 שעות
00 דקות
00 שניות
course image

Alteryx Fundamentals

Acquire the skills necessary to master Alteryx Designer to pass the Alteryx Core Certification exam. No previous experience is required.
via DataCamp

140 קורסים


12 hours

שדרוג אופציונלי זמין

מתחיל

התקדמות בקצב שלך

Free Trial Available

שדרוג אופציונלי זמין

סקירה כללית

In this track, you’ll learn how to use Alteryx, a leading data analytics and automation tool. The track has been developed in partnership with Alteryx and is designed to help you prepare for and pass the official Alteryx Core Certification exam.

The track focuses on the toolset essentials for data preparation and analysis, including Preparation, Parse, Join, and Transform tools. The curriculum enables you to set up workflows, apply best practices, and tackle real-world problems to enhance decision-making processes.

Through the interactive Alteryx exercises and expert guidance, you will gain hands-on experience without needing local installation. After completing the track, you can pass the certification exam and implement Alteryx workflows effectively in your work environment.

סילבוס

  • Introduction to Alteryx
  • Enter the world of Alteryx Designer and learn how to navigate the tool to load, prepare, and aggregate data.
  • Data Preparation in Alteryx
  • Master data preparation, cleaning, and analysis in Alteryx Designer, whether you are a new or seasoned analyst.
  • Data Transformation in Alteryx
  • Unlock Alteryx for data transformation, mastering Crosstab, Transpose, and workflow optimization in this interactive course.
  • Data Manipulation in Alteryx
  • Orchestrate data using unions, joins, parsing, and performance optimization in Alteryx.
  • Case Study: Analyzing Sales Data in Alteryx
  • Explore Alteryx Designer in a retail data case study to boost sales analysis and strategic decision-making.

נלמד על ידי

Deanna Sanchez, Behrang Behjoo, Joshua Honken, Iason the man the myth the legend, and Kim Hands


נושאים

Data Science