All Courseware Tracks

Python Courseware

Courseware tracks are designed to help training companies enrich their curriculum by providing exceptional and consistent materials that both your trainers and your students will appreciate. In addition to student manuals, most of the courses include presentation slides and the option to purchase pre-built lab environments, either directly through Courseware Store or from a third-party lab provider.

Description

Incorporating this Python track into your offerings provides a focused, in-depth learning journey through Python programming, one of the most sought-after skills in the tech industry today. Designed for learners at different stages of their programming journey, this track starts with the fundamentals and progresses through to advanced data analysis techniques using Python, ensuring comprehensive coverage of this versatile language.

Key Advantages for Your Training Company:

  1. Broad Market Appeal: Python's status as a foundational programming language in various tech domains, including data science, artificial intelligence, and general software development, ensures a wide audience for these courses.

  2. Current and Comprehensive: This track features up-to-date content on Python programming, from basics to advanced Python features, and includes data analysis with JupyterLab. Regular updates keep the curriculum relevant and in line with the latest developments in Python programming.

  3. Structured Learning Path: The progression from Introduction to Python through Advanced Python, and culminating in Python Data Analysis with JupyterLab, offers learners a well-defined path to mastering Python. This structured approach helps learners build a solid foundation before tackling more complex topics.

  4. Hands-On Experience: Each course in the track emphasizes practical application through labs and exercises. This hands-on approach not only reinforces learning but also equips students with tangible skills and experience that can be directly applied in real-world scenarios.

  5. Efficient Resource Use: By focusing solely on Python, your training company can allocate resources more effectively, ensuring that instructors and materials are optimized for the best possible delivery of Python content.

  6. Enhanced Curriculum Offering: Adding a dedicated Python track enhances your curriculum, positioning your company as a premier provider of programming education. It signals to prospective students that you are committed to offering in-depth, specialized training that meets the demands of the tech industry.

  7. Increased Enrollment and Retention: A comprehensive Python track encourages continuous engagement from learners, increasing retention as they progress from introductory to more advanced courses. This continuity can lead to better learning outcomes and higher satisfaction rates, encouraging word-of-mouth referrals and repeat enrollments.

  8. Preparation for Diverse Tech Roles: The skills taught in this Python track are applicable to a wide range of tech roles, from software development to data analysis. Completing the track prepares learners for various opportunities in the tech field, enhancing their employability and career prospects.

By adopting the Python-only track, your training company not only diversifies its course offerings but also taps into the growing demand for Python programming expertise. This track represents a strategic addition to your educational offerings, promising significant returns in learner success, satisfaction, and organizational growth in the competitive landscape of tech education.

Included Courses

Introduction to Python

Length: 4 days | $180.00 per copy

This Introduction to Python course provides a comprehensive foundation in Python programming, starting with Python basics such as running Python scripts, understanding literals, comments, data types, and working with variables. The course then progresses to functions and modules, arithmetic operations, and Python string manipulation. You'll also learn about iterables, including sequences, dictionaries, and sets, as well as virtual environments, packages, and pip. The course covers flow control, exception handling, Python dates and times, and file processing. Finally, it introduces you to PEP8 and Pylint for code quality and style. Each section includes exercises to help you practice your newfound skills and solidify your understanding of Python programming concepts.

This is the updated version of 55284AC from the retired Microsoft Courseware Marketplace.

Labs: Add-on available | $50.97 per lab
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Advanced Python

Length: 2 days | $90.00 per copy

This Advanced Python course delves deep into Python concepts to enhance your skills and knowledge of the language. It covers topics such as lambda functions, advanced list comprehensions, and the Collections module. The course also explores regular expressions, working with data using SQLite, CSV, JSON, and web scraping, as well as testing and debugging techniques. Furthermore, it emphasizes object-oriented programming with classes and objects, inheritance, properties, static and class methods, and understanding decorators. Each section includes hands-on exercises to provide practical experience in applying these advanced Python concepts.

This is the updated version of 55285AC from the retired Microsoft Courseware Marketplace.

Labs: Add-on available | $25.49 per lab
View Lab Details

Python Data Analysis with JupyterLab

Length: 2 days | $90.00 per copy

The Python Data Analysis with JupyterLab course offers a comprehensive introduction to data analysis techniques using Python and JupyterLab. The course covers essential topics such as getting started with JupyterLab, using Markdown and Magic Commands, exploring NumPy for numerical computing, and delving into pandas for data manipulation and analysis. Students will also learn to create visualizations using matplotlib. Through hands-on exercises and real-world examples, learners will acquire the skills necessary to perform effective data analysis using Python and JupyterLab.

You will learn NumPy, which makes working with arrays and matrices (in place of lists and lists of lists) much more efficient, and pandas, which makes manipulating, munging, slicing, and grouping data much easier. You will also learn some simple data visualization techniques with matplotlib.


All Courseware Tracks