Completed 'Data Manipulation with Pandas' course on DataCamp

Today, I'm excited to share just completed the 'Data Manipulation with Pandas' course on DataCamp, and I’m thrilled with the practical skills I’ve gained.

If you’re pursuing a career in Data Science and Machine Learning, this course is a must! It dives deep into the core functionalities of pandas, which is essential for anyone working with data.

Here’s a quick breakdown of what I learned:

🔹 Transforming DataFrames: Mastered the fundamentals of working with DataFrames, from sorting rows and subsetting columns to adding new columns. Pandas make manipulating data so efficient and powerful.

🔹 Aggregating DataFrames: Learned how to easily calculate summary statistics, group data by categories, and use pivot tables to analyze data.

🔹 Slicing and Indexing DataFrames: Explored how to slice and subset DataFrames using `.loc[]` and `.iloc[]`, work with multi-level indexes, and organize time series data.

🔹 Creating and Visualizing DataFrames: Gained hands-on experience in visualizing data, handling missing values, and importing/exporting data with CSVs. Visualizations help you uncover patterns and insights quickly!

This course provides the practical tools you need to handle data confidently, which is critical for any Data Scientist and ML Engineer. I Highly recommend checking it out to strengthen your panda's skills and work more effectively with real-world data.

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