Welcome to Python for Data Science & Machine Learning: Zero to Hero. This comprehensive course takes you from the basics of Python programming to advanced concepts in data science and machine learning. Youll explore essential Python libraries, master data manipulation with NumPy and Pandas, learn data cleaning and exploratory data analysis techniques, and delve into time-series analysis and data visualisation. Additionally, youll gain a solid understanding of machine learning fundamentals, including regression, classification, clustering, and recommender systems. Through hands-on projects and real-world examples, youll build the skills needed to become proficient in data science and machine learning.
Learning Outcomes
Understand the key libraries for data science.
Master data manipulation using NumPy.
Work with DataFrames and Series in Pandas.
Apply data cleaning techniques for improved data quality.
Perform exploratory data analysis in Python.
Conduct time-series analysis with Python..
Create data visualisations using Python libraries
Understand the basics of machine learning.
Implement simple and multiple linear regression models.
Utilise classification algorithms like K-Nearest Neighbours, Decision Tree, and Logistic Regression.
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