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Pythonic Data Science: Mastering Analytics with Python
In-Person and Virtual

3-Day Training Workshop

Pythonic Data Science: Mastering Analytics with Python

Unlock the power of Python for Data Science in this intensive, hands-on workshop!

Workshop training starts in 6 months

Instructor
Skyfusion

Course Description

Join us for a dynamic 3-day workshop focusing on practical applications of Python in Data Science. Learn essential techniques, algorithms, and tools necessary for data manipulation, visualization, and machine learning. This workshop is designed to equip you with practical skills through live coding sessions and real-world case studies.

Workshop Details

Location

GIMPA, Accra, Ghana

Start Date

August 7, 2024

End Date

August 9, 2024

Start Time

10:00 AM

Closing Time

04:00 PM

Break Time

12:00 PM

Targeted Audience

General Audience

Other Details

Breakfast and lunch will be provided. This workshop will be held at GIMPA, not online. Participants will receive access details prior to the start date.

GHS1581 1860 15% OFF

Learn from industry experts and take your skills to the next level.

This training includes:

  • Comprehensive PDF Materials
  • Full access to github code
  • 2 Capstone Code Projects
  • 24 hours of instruction
  • Certificate of completion
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Course Content

  • Module 1

    Day 1: Foundations of Python for Data Science

    Master the basics of Python programming tailored for data analysis and manipulation. Explore libraries like NumPy and Pandas for efficient data handling.

  • Module 2

    Day 2: Advanced Data Analysis and Visualization

    Dive into advanced data analysis techniques using Pandas and Matplotlib. Learn to derive insights from complex datasets through hands-on exercises.

  • Module 3

    Day 3: Machine Learning with Python

    Discover the fundamentals of machine learning with Python. Build predictive models using scikit-learn and understand the essentials of model evaluation and deployment.

Requirements

  • Basic programming knowledge (Python preferred)
  • Laptop with Anaconda installed