By the end of this course, you’ll be using Pandas to prepare, explore, transform, and analyze real-world tabular data in Python. You will master working with Series and DataFrames, loading external data, filtering and summarizing datasets, creating visualizations, and reshaping data for deep analysis.
You will build the exact practical skills required in everyday data analysis workflows: identifying data quality issues, merging datasets, reshaping data formats, and extracting meaningful insights from raw information.
What sets this course apart is that you learn by doing. Instead of just watching videos, you'll solve interactive coding challenges right inside PyCharm, fully integrated with Coursera. You'll apply each new concept the moment you learn it, locking in your skills through hands-on practice.
Finally, you’ll tie everything together with a capstone project: "Which TED Talks to watch." Using Pandas, you’ll analyze a real dataset and build a functional recommendation workflow from scratch. You’ll walk away with a strong foundation in Pandas and the confidence to tackle real datasets in your own projects, studies, or career.
Some points apply to every course of this kind; see how we rank.
JetBrains is in Tier 3: good universities, respected companies, nonprofits and well-known teachers of our institution ranking (74/100).
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