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Event Title: Data Wrangling with Python: Mastering the Art of Data Preparation.

Date: September 19th, 2023
Time: 6:30 PM -8:30 PM
Location: Online

Description
Join us for an immersive workshop on Data Wrangling with Python and unlock the power of data preparation for effective analysis. This workshop is designed to equip you with the essential skills to import, manipulate, and clean datasets using Python. Whether you're a beginner or have some experience in data analysis, this workshop will enhance your data-wrangling capabilities.

Learning Outcomes

  • Understand the fundamental concepts of data wrangling and its importance in data analysis.
  • Apply basic Python programming skills to import, manipulate, and clean datasets for analysis.
  • Demonstrate proficiency in using Python libraries and tools for data wrangling, such as Pandas and NumPy.
  • Analyze and address common data quality issues, including missing values, outliers, and inconsistent formats.
  • Develop strategies to transform and reshape data to meet specific analysis requirements and objectives.

About AfterWork

  • We host workshops which are comprehensive training courses designed to give you insight into what data science and machine learning can do for your competitive advantage.

Who Should Attend

  • Data analysts and professionals seeking to enhance their data-wrangling skills.
  • Business professionals involved in data-driven decision-making.
  • Anyone interested in leveraging Python for effective data preparation.

Requirements

  • Have access to a laptop.
  • Have access to WI-FI or data.

Sign-up information

  • This is a free event.

Prerequisites
Basic familiarity with Python programming will be helpful but not mandatory.
No prior experience with data wrangling is required.

Don't miss this opportunity to master the art of data preparation with Python. Secure your spot now and embark on your journey to becoming a proficient data wrangler.

Related topics

Business Development
Business Strategy
Business Intelligence
Marketing
Sustainability

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