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Exploring and Analyzing Fifa's Datasets Using Python

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In this 1-hour long project-based course, you will learn how to load a dataset into a pandas dataframe, you will learn how to tidy a messy dataset (Data Tidying), you will get to also visualize the dataset using Matplotlib and seaborn, you will learn how to engineer new features, you will also get to learn how to merge datasets (Data Integration) By the end of this project, you will be able to fully analyze a FIFA dataset using python’s Pandas library. Throughout the tasks you will be able to identify and apply the key aspects about data analysis such as Data Cleaning, Data transformation, Data Visualization , Data tidying and feature engineering. All these skills are crucial to the world of data engineering and are very beneficial in today’s job market that is leaning more and more towards utilizing data in every way Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

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Unlock the potential of data with our hands-on course, "Exploring and Analyzing FIFA's Datasets Using Python." This 1-hour project-based learning experience is tailored for individuals interested in the IT and Computer Science domain. Guided by Coursera, this foundational course focuses on essential data analysis skills using Python. Dive into the world of data engineering as you learn to load datasets into pandas dataframes, tidy up messy data, and visualize insights with Matplotlib and Seaborn. Enhance your expertise in data tidying, feature engineering, and dataset merging, all crucial skills for today’s data-driven job market. By the end of this course, you’ll confidently analyze a FIFA dataset using Python’s powerful Pandas library, mastering key aspects such as data cleaning, transformation, and visualization. Perfect for beginners and those looking to solidify their data analysis foundation, this course is best suited for learners in North America, with expansion plans underway. Available through Coursera’s Starter subscription, join us for a comprehensive introduction to data analysis that is both informative and practical.