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מתחיל 4 June 2026 05:34

נגמר 4 June 2026

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Introduction to R (Live Online)

Data collection by services and organizations is omnipresent today. The need to organize or "wrangle" this data is crucial for businesses aiming to make informed, data-driven decisions to enhance customer experiences. R is a dedicated, open-source statistical language designed to aid in cleaning, analyzing, and converting data, regardless of ind.
via CourseHorse

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סקירה כללית

Data collection by services and organizations is omnipresent today. The need to organize or "wrangle" this data is crucial for businesses aiming to make informed, data-driven decisions to enhance customer experiences.

R is a dedicated, open-source statistical language designed to aid in cleaning, analyzing, and converting data, regardless of industry or background.

This workshop will introduce you to common data wrangling techniques, transforming raw data into refined formats for business analysis, visualization, and intelligence. Whether you're analyzing reports or interpreting dashboards, this class is crafted for anyone dealing with data.

It’s an ideal stepping stone for those looking to transition from Excel to more sophisticated data presentation tools, and no prior programming experience is required.

Workshop Format:

Highly interactive with group activities and open discussions.

Requirements for Participation:

  • Camera turned on throughout the session
  • Accessible microphone
  • Quiet, well-lit area with minimal distractions
  • Strong internet connection

Key Takeaways:

  • Understand basic R syntax
  • Perform data manipulation and calculations with reproducible code
  • Learn to visualize data effectively
  • Utilize common SQL query frameworks to tackle complex real-world problems

Preparation:

Please download Zoom beforehand. Required:

Install the R programming language and RStudio (free version).

Note:

This session is not recorded, but you will receive the instructor’s slides following the workshop.

Provider:

University through CourseHorse

Categories:

R Programming Courses, Data Analysis Courses, Business Intelligence Courses, Data Science Courses, Programming Courses, Data Visualization Courses, SQL Courses, RStudio Courses


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