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• What’s included: Python Data Science Complete Guide course

Course Highlights

This course is designed for anyone who wants to learn Python for data science. No prior experience with Python is required. The course covers all the essential topics in a clear and concise way. You’ll learn by doing, with plenty of exercises and projects to give you real-life examples of what you’ve learned. This course unlocks the potential of Python, Pandas, and NumPy, equipping you with the tools to reshape, analyse, and visualise data. From the fundamentals of strings and numbers to the intricacies of data frames and arrays, you’ll traverse the landscape of data manipulation.

Explore Pandas and NumPy’s dynamic functionalities, enabling you to conquer missing data, aggregate insights, and navigate complex datasets. You’ll delve into CSV and JSON interactions, merge and pivot data, and craft compelling visualisations using Matplotlib.

Course Modules

• Course Introduction and Table of Contents
• Introduction to Python, Pandas and Numpy
• System and Environment Setup
• Python Strings
• Python Numbers and Operators
• Python Lists
• Tuples in Python
• Sets in Python
• Python Dictionary
• NumPy Library - Introduction
• NumPy Array Operations and Indexing
• NumPy Multi-Dimensional Arrays
• Introduction to Pandas Series
• Introduction to Pandas Dataframes
• Pandas Dataframe conversion and drop
• Pandas Dataframe summary and selection
• Pandas Missing Data Management and Sorting
• Pandas Hierarchical-Multi Indexing
• Pandas CSV File Read Write
• Pandas JSON File Read Write
• Pandas Concatenation Merging and Joining
• Pandas Stacking and Pivoting
• Pandas Duplicate Data Management
• Pandas Mapping
• Pandas Grouping
• Pandas Aggregation
• Pandas Binning or Bucketing
• Pandas Re-index and Rename
• Pandas Replace Values
• Pandas Dataframe Metrics
• Pandas Random Permutation
• Pandas Excel sheet Import
• Pandas Condition Selection and Lambda Function
• Pandas Ranks Min Max
• Pandas Cross Tabulation
• Matplotlib Graphs and plots
• Matplotlib Histograms

See the full course description

Completion of this course does not result in a degree or qualify participants to practice professionally.