Learn to harness the power of Python for data analysis, visualization, and machine learning. Develop practical skills with pandas, NumPy, Matplotlib, and scikit-learn to extract insights from data and build predictive models.
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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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I am a programmer with over 12 years' experience gained in a range of industries, the last 16 with IBM.
I am now self employed developing apps for Android; programming in a range of languages including Java, Javascript and Python; and helping the next generation of programmers gain the skills that I have acquired over the years.
The first program I sold controlled stock movement in a warehouse, and ran on a CP/M computer - both the program and operating system lived in the 64 kb (yes, kilobytes) that was all CP/M systems had in those days.
I have gained experience in a wide range of industries including Utilities, Retail, Insurance and the Motor Manufacturing industry. My clients and employers have ...
This course includes 4 modules, 0 lessons, and 0 hours of materials.
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