Advanced Data Analysis and Visualization with Pandas

This course is part of Data Analysis with Pandas and Python Specialization

Instructor: Packt - Course Instructors

What you'll learn

  •   Demonstrate proficiency in exporting and importing data in CSV and Excel formats using Pandas.
  •   Create and customize data visualizations using Matplotlib to effectively present insights.
  •   Adjust Pandas settings and parameters to optimize data analysis for specific needs.
  •   Apply advanced Pandas techniques to streamline data workflows and improve efficiency in data handling and analysis.

    • Skills you'll gain

  •   Matplotlib
  •   Data Import/Export
  •   Time Series Analysis and Forecasting
  •   Python Programming
  •   Pandas (Python Package)
  •   Microsoft Excel
  •   Data Analysis
  •   Data Visualization Software
  •   NumPy
  •   Data Manipulation

    • There are 5 modules in this course

    - You'll master techniques like using the dt attribute and DateOffset objects for arithmetic operations and timedeltas. - Learn essential input-output operations, including exporting DataFrames to CSV and Excel files using openpyxl, and seamless file imports. - Enhance data presentation with Matplotlib for basic visualizations, customizing aesthetics with templates, and creating bar and pie charts. Ideal for data analysts, scientists, and Python enthusiasts with intermediate to advanced Pandas skills, this course enriches data workflows and visualization capabilities.

    Input and Output

    Visualization

    Options and Settings

    Conclusion

    Explore more from Data Analysis

    Data Analysis with Pandas and Python

    Data Analysis and Visualization with Python

    Intermediate Data Analysis Techniques with Pandas

    Mastering Data Analysis with Pandas

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