Data Science and AI using Python Training in Sri Lanka

Participants will learn how to analyze, visualize, and model data, and apply machine learning algorithms to solve real-world problems.

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Data Science and AI using Python Training is a professional training program delivered by ProgNXT, a globally recognized corporate training provider. ProgNXT's Data Science and AI using Python Training course in Sri Lanka equips professionals with industry-relevant skills through hands-on, instructor-led sessions. This course provides a thorough grounding in Data Science and Artificial Intelligence (AI) using Python. Participants will learn how to analyze,...

Expert Panel

Designed by the ProgNXT AI & Data Science Expert Panel, specializing in Generative AI, Machine Learning, and ChatGPT applications

ProgNXT AI & Data Science Expert Panel

Course Code: VKI74
21 Hrs
Course Rating 5/5
Last Updated: April 2026

This course provides a thorough grounding in Data Science and Artificial Intelligence (AI) using Python. Participants will learn how to analyze, visualize, and model data, and apply machine learning algorithms to solve real-world problems. The course blends theoretical concepts with hands-on practice, covering everything from data preprocessing to deploying machine learning models.

Welcome to the official Data Science and AI using Python Training certification program. This comprehensive training is designed to elevate your professional skills and provide you with practical, industry-relevant knowledge in in Sri Lanka. As a globally recognized corporate training provider operating in 55+ countries, ProgNXT ensures that our curriculum meets the highest standards of excellence.

Whether you are looking to upskill your team or advance your personal career, our expert-led sessions will guide you through the core concepts of this domain. Upon successful completion of the 21 Hrs program, participants will receive a globally accepted certification, demonstrating their proficiency and readiness to tackle complex challenges in the field.

Basic understanding of Python programming
Fundamental knowledge of statistics and linear algebra is helpful
Familiarity with Jupyter Notebooks and Python IDEs
No prior experience in machine learning or AI is required

Python for Data Science
Data preprocessing and visualization
Statistical analysis and hypothesis testing
Supervised and unsupervised machine learning
Deep learning with neural networks
Model evaluation, optimization, and deployment
Working with libraries: NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow/Keras