Programming –
Python for ML and Advanced Analytics
Fundamentals
Difficulty level:
Intermediate
Duration:
32 hours (4 days)
Provide Certifications of Completion
Course Overview
This course introduces participants to the essential skills needed to use Python for machine learning and advanced analytics. Covering key libraries such as NumPy, Pandas, Matplotlib, and Scikit-learn, participants will learn how to manipulate data, build visualizations, and apply foundational machine learning models. Hands-on exercises ensure learners gain practical experience in preparing data, training algorithms, and evaluating performance, providing a strong entry point into the field of data science.
Machine learning and analytics are transforming industries by enabling data-driven decision-making and predictive insights. Professionals with Python-based machine learning skills are in high demand, as they can bridge the gap between raw data and actionable intelligence. Completing this course positions participants at the forefront of analytics innovation, giving them the ability to contribute to business transformation, automation, and AI-driven initiatives.
Course Outcome:
- Use Python libraries for data analysis and machine learning.
- Clean, transform, and manipulate datasets for analysis.
- Visualize data effectively using Matplotlib and Seaborn.
- Apply basic machine learning models with Scikit-learn.
- Train and evaluate predictive models.
- Understand workflows for advanced analytics and machine learning projects.
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