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  1. Mastery in Python's popular data analytics libraries: NumPy, Pandas, Matplotlib, Scipy, Seaborn, and Plotly. Practical skills in data manipulation, analysis, and visualization techniques. Application of statistical concepts in data analysis. Solving business problems by translating them into analytical questions.

  2. Data Analysis with Pandas and Python offers 19+ hours of in-depth video tutorials on the most powerful data analysis toolkit available today. Lessons include: and more! Why learn pandas?

  3. The first lessons from my Udemy course on Data Analysis with Pandas and python. Get the complete 19+ hour course here: https://www.udemy.com/data-analysis-wi...

  4. Get started with Python Libraries for Data Analysis and Visualization!If you want to master these libraries then check out my Udemy Course for over 10 hours ...

  5. Learn to wrangle data with Python! You will learn the most commonly used tools for data analysis with python including JupyterLab, Numpy and Pandas. You will learn to create visualizations from your data using Matplotlib and Seaborn. You know Python. You know Excel.

  6. This course provides you with foundational knowledge of Python and introduces you to analyzing data using Python. Knowing Python is highly important if you intend working with data and the demand for professionals with Python skills is ever growing.

  7. - Perform a multitude of data operations in Python's popular "pandas" library including grouping, pivoting, joining and more! - Learn hundreds of methods and...

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