Data Analysis with Pandas and Python Specialization

Mastering Pandas: Easy Data Analysis in Python. This course covers Python programming and data analysis with Pandas, including installation, core Python concepts, Series and DataFrame manipulation, text data handling, GroupBy methods, DataFrame merging, date and time management, I/O operations, data visualization, and Pandas customization.

Instructor: Packt - Course Instructors

What you'll learn

  •   Recall and describe Python's basic and advanced data types.
  •   Apply mastery of Series and DataFrame operations in Pandas for data manipulation tasks.
  •   Apply techniques to handle complex data types such as dates and times in Pandas.
  •   Analyze and execute input and output operations with various file types, and optimize data analysis using advanced Pandas settings and functions.

    • Skills you'll gain

  •   Data Integration
  •   Data Manipulation
  •   Pivot Tables And Charts
  •   Jupyter
  •   Data Import/Export
  •   Matplotlib
  •   Pandas (Python Package)
  •   NumPy
  •   Data Structures
  •   Data Cleansing
  •   Data Visualization Software
  •   Data Analysis

    • Specialization - 3 course series

    Learners will tackle real-world projects such as filtering and extracting data from complex DataFrames, merging datasets, and performing GroupBy operations to uncover insights. They will work with text data, dates, and times, applying advanced Pandas features to solve authentic data analysis problems. Through hands-on projects, learners will visualize data using Matplotlib, effectively presenting their findings and preparing for professional data analysis roles.

    Intermediate Data Analysis Techniques with Pandas

    Advanced Data Analysis and Visualization with Pandas

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