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
