Python

This course includes an overview of the various tools available for writing and running Python, and gets students coding quickly. It also provides hands-on coding exercises using commonly used data structures, writing custom functions, and reading and writing to files.

Beginner 0(0 Ratings) 0 Students enrolled English
Created by Multiversity Admin
Last updated Sun, 08-Oct-2023
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Course overview
Curriculum for this course
18 Lessons 00:00:00 Hours
Week 1: Introduction to Python
3 Lessons 00:00:00 Hours
  • Understanding Python and its applications in business analytics
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  • Setting up Python environment (Anaconda, Jupyter Notebook)
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  • Basic Python syntax and data types
    .
Week 2: Data Manipulation with Python
3 Lessons 00:00:00 Hours
  • Working with data structures (lists, tuples, dictionaries)
    .
  • Data cleaning and preprocessing techniques
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  • Pandas library for data manipulation
    .
Week 3: Data Visualization with Matplotlib and Seaborn
3 Lessons 00:00:00 Hours
  • Introduction to data visualization
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  • Creating plots and charts with Matplotlib
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  • Advanced data visualization with Seaborn
    .
Week 4: Introduction to NumPy and SciPy
3 Lessons 00:00:00 Hours
  • Introduction to scientific computing with Python
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  • Numerical computing with NumPy
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  • Statistical analysis with SciPy
    .
Week 5: Introduction to Machine Learning with Scikit-Learn
3 Lessons 00:00:00 Hours
  • Overview of machine learning concepts
    .
  • Supervised and unsupervised learning
    .
  • Building machine learning models with Scikit-Learn
    .
Week 6: Python for Business Analytics Applications
3 Lessons 00:00:00 Hours
  • Real-world case studies and projects
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  • Automation and scripting with Python
    .
  • Course conclusion and next steps in business analytics
    .
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Multiversity Admin

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