Data Analysis with Pandas and Python
About this course
This course begins by setting up Anaconda and Jupyter Lab for Python and Pandas, providing foundational Python knowledge before diving into Pandas for data analysis. You'll learn Series and DataFrame structures for effective data management and manipulation. Key topics include - Handling dates - Performing file input/output operations crucial for real-world data tasks - Advanced data visualization using Matplotlib. - Advanced Pandas features and settings are explored to enhance data manipulation capabilities. By the course's end, you'll master data analysis techniques, adept at handling complex datasets, conducting detailed analysis, and presenting insights visually, preparing you for advanced roles in data analytics and manipulation. Ideal for data analysts, aspiring data scientists, and professionals aiming to deepen their skills in data manipulation and analysis using Pandas, this course bridges basic Python knowledge to advanced data handling and visualization techniques.
75/100
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- What the provider tells you
- 39/45
- Who stands behind it
- 20/35
- How complete the listing is
- 16/20
Scores how much the provider publishes and who stands behind it — not how well it is taught.
What you'll learn
- understanding Series and DataFrame structures
- handling dates in data analysis
- performing file input/output operations
- creating advanced visualizations with Matplotlib
- utilizing advanced Pandas features for data manipulation
Course objectives
- to equip learners with foundational and advanced skills in Python and Pandas
- to prepare participants for roles in data analytics and data science
- to enhance participants' ability to manage and visualize complex datasets
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