Ready to dive into the exciting world of data science? This beginner-friendly session will introduce you to the essential Python libraries that form the backbone of data analysis projects. Whether you're a coding enthusiast or curious about data exploration, this workshop will set you on the right path.

Three Key Topics:

Foundational Libraries:

Understand the role of NumPy for numerical computations and efficient data manipulation.

Explore Pandas, the workhorse of data science, for data wrangling, analysis, and visualization.

Discover Matplotlib, a versatile library for creating various charts and graphs.

2. Beyond the Basics:

Dive into Scikit-learn, a powerhouse for machine learning tasks like classification and regression.

Learn about data cleaning and preprocessing techniques with libraries like Pandas and Scikit-learn.

Explore data visualization beyond Matplotlib with libraries like Seaborn and Plotly.

3. Hands-on Practice:

Participate in practical exercises using Jupyter Notebook, a popular data science environment.

Apply your newfound knowledge to analyze real-world datasets through guided examples.

Leave with confidence and a roadmap for further exploration of these powerful libraries.

Don't miss this opportunity to unlock your data science potential!🥳🥳