cranford

🐍 Python for Data Science | Code. Analyse. Discover.

Uncategorized
Wishlist Share

About Course

Python for Data Science Course — Analyse Data & Build Insights

This Python for Data Science Course is designed to help learners develop practical Python programming and data analysis skills. The course covers Python fundamentals, data manipulation, visualisation, statistical concepts, and introductory machine learning to help learners work confidently with real-world data.

What Will You Learn?

  • Learn Python programming fundamentals
  • Work with data using Python libraries
  • Clean and analyse datasets
  • Create meaningful data visualisations
  • Apply basic statistical concepts
  • Build a foundation in machine learning
  • Develop practical data analysis skills

Course Content

Python Fundamentals
Learn variables, data types, operators, conditions, loops, functions, and basic programming concepts.

NumPy & Pandas
Learn how to work with arrays, DataFrames, datasets, filtering, grouping, and data manipulation.

Data Cleaning
Understand how to handle missing values, duplicates, inconsistent data, and other common data-quality issues.

Data Visualisation
Create meaningful charts and visualisations using tools such as Matplotlib and Seaborn.

Data Analysis
Explore datasets, identify patterns, calculate statistics, and generate useful insights.

Introduction to Machine Learning
Understand basic machine learning concepts and build simple predictive models using Python.