What you will learn?
NumPy fundamentals
Pandas for data manipulation
Data visualization techniques
Statistical analysis basics
Machine learning introduction
Data cleaning methods
Feature engineering
Model evaluation
Real-world datasets
Project workflow
About this course
This comprehensive course will equip you with the Python programming skills and data science tools needed to analyze complex datasets and extract meaningful insights. You'll learn how to manipulate data, create visualizations, and build machine learning models using Python's powerful libraries.
Starting with Python fundamentals, you'll progress to data manipulation with pandas, numerical computing with NumPy, data visualization with Matplotlib and Seaborn, and machine learning with scikit-learn. You'll work with real-world datasets to solve practical problems and develop a portfolio of data science projects.
By the end of the course, you'll have the skills to perform exploratory data analysis, create compelling visualizations, and implement machine learning algorithms. Whether you're looking to start a career in data science or enhance your current role with data analysis skills, this course provides the foundation you need to succeed.
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Top companies suggest this course to their employees and staff.
Requirements
Curiosity about data analysis
No prior data science experience
Jupyter Notebook installed
Understanding of math concepts
Basic Python knowledge
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