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Panda Power: Mastering Data Manipulation with Python

March 21 @ 5:00 pm - 6:00 pm UTC-5

Panda Power: Mastering Data Manipulation with Python

Are you eager to harness Python’s prowess for data manipulation? Join us on an enriching journey through pandas, a versatile library for data analysis and manipulation in Python. In this workshop, we’ll equip you with the skills to navigate pandas effectively, empowering you to unleash the full potential of your data.

Pandas has become the backbone of data analysis in Python, offering a wide array of functionalities to streamline data manipulation tasks. From data cleaning and transformation to aggregation and visualization, pandas excels in handling diverse datasets with ease.

Our workshop begins by delving into the fundamentals of pandas, where you’ll learn about its core data structures such as Series and DataFrame. Through hands-on exercises, you’ll gain proficiency in loading, exploring, and manipulating datasets using pandas’ intuitive syntax.

As we progress, we’ll explore real-world use cases where pandas shines. Whether it’s analyzing financial data, processing sensor data from IoT devices, or conducting sentiment analysis on social media data, pandas’ versatility makes it indispensable across various domains.

Furthermore, you’ll learn advanced techniques for data aggregation, grouping, and merging, enabling you to derive meaningful insights from your data. By the end of the workshop, you’ll be equipped to tackle complex data manipulation tasks confidently using pandas.

Whether you’re a data scientist, analyst, or enthusiast, this workshop is designed to accelerate your journey towards mastering data manipulation with pandas. Join us and unlock the full potential of your data with pandas!

Some useful links:

  1. Download and install Python: https://www.python.org/
  2. Install Jupyter: https://jupyter.org/install
  3. Python Fundamentals Github: https://github.com/kvsista/Python-Fundamentals-Legacy

Sign up below for the Workshop:

Requirements to join the session

  1. You’re at least 21 years in age, and
  2. You’ve completed at least a Bachelor’s degree.
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March 21
5:00 pm - 6:00 pm UTC-5
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Microsoft Teams


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