Python Data Science Class

Discover how Python powers modern data science through data analysis, visualisation, and machine learning techniques. This course equips you with essential tools to interpret complex data and drive smart, data-informed decisions.

Course Curriculum:

• Module 1: Course Introduction and Table of Contents
• Module 2: Introduction to Python, Pandas and Numpy
• Module 3: System and Environment Setup
• Module 4: Python Strings
• Module 5: Python Numbers and Operators
• Module 6: Python Lists
• Module 7: Tuples in Python
• Module 8: Sets in Python
• Module 9: Python Dictionary
• Module 10: NumPy Library - Introduction
• Module 11: NumPy Array Operations and Indexing
• Module 12: NumPy Multi-Dimensional Arrays
• Module 13: Introduction to Pandas Series
• Module 14: Introduction to Pandas Dataframes
• Module 15: Pandas Dataframe Conversion and Drop
• Module 16: Pandas Dataframe Summary and Selection
• Module 17: Pandas Missing Data Management and Sorting
• Module 18: Pandas Hierarchical-Multi Indexing
• Module 19: Pandas CSV File Read Write
• Module 20: Pandas JSON File Read Write
• Module 21: Pandas Concatenation, Merging and Joining
• Module 22: Pandas Stacking and Pivoting
• Module 23: Pandas Duplicate Data Management
• Module 24: Pandas Mapping
• Module 25: Pandas Grouping
• Module 26: Pandas Aggregation
• Module 27: Pandas Binning or Bucketing
• Module 28: Pandas Re-index and Rename
• Module 29: Pandas Replace Values
• Module 30: Pandas Dataframe Metrics
• Module 31: Pandas Random Permutation
• Module 32: Pandas Excel Sheet Import
• Module 33: Pandas Condition Selection and Lambda Function
• Module 34: Pandas Ranks, Min, Max
• Module 35: Pandas Cross Tabulation
• Module 36: Matplotlib Graphs and Plots
• Module 37: Matplotlib Histograms

(See curriculum)

What's included:

• CPD Certification
• Fully online, interactive course.
• Free PDF certificate on course completion.
• 24/7 access to the course for a lifetime.
• Online support