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Real-World Business Analysis and Statistics in Python
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<blockquote data-quote="Poison_tools" data-source="post: 1135" data-attributes="member: 554"><p><h3>Real-World Business Analysis and Statistics in Python</h3><p>Master the Power of Pandas, NumPy, Matplotlib, & Statmodels from Data Analytics to Strategic Decision-Making in Python.</p><h2>What you'll learn</h2> <ul> <li data-xf-list-type="ul">Gain a solid understanding of Python for data analytics. Develop the skills to clean and preprocess real-world datasets, ensuring data quality and reliability.</li> <li data-xf-list-type="ul">Learn to use key libraries such as Pandas, NumPy, and Matplotlib for data manipulation, analysis, and visualization.</li> <li data-xf-list-type="ul">Master advanced data processing techniques, including feature engineering, data transformation, and handling missing values.</li> <li data-xf-list-type="ul">Explore how to implement statmodels API to build statistical models and determine the most influential factors to make effective</li> </ul></blockquote><p></p>
[QUOTE="Poison_tools, post: 1135, member: 554"] [HEADING=2]Real-World Business Analysis and Statistics in Python[/HEADING] Master the Power of Pandas, NumPy, Matplotlib, & Statmodels from Data Analytics to Strategic Decision-Making in Python. [HEADING=1]What you'll learn[/HEADING] [LIST] [*]Gain a solid understanding of Python for data analytics. Develop the skills to clean and preprocess real-world datasets, ensuring data quality and reliability. [*]Learn to use key libraries such as Pandas, NumPy, and Matplotlib for data manipulation, analysis, and visualization. [*]Master advanced data processing techniques, including feature engineering, data transformation, and handling missing values. [*]Explore how to implement statmodels API to build statistical models and determine the most influential factors to make effective [/LIST] [/QUOTE]
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