Training on Introduction to AI, Data Science & Machine Learning with Python

This comprehensive course is designed to equip professionals with the foundational skills and techniques needed to succeed in the rapidly growing field of data science. Participants will learn the data science lifecycle, from data analysis and visualization using Python and its libraries to preprocessing unstructured data and building AI/ML models. The training provides a strategic framework for applying these techniques to solve real-world problems.

Duration

5 Days

Who Should Attend:

• Aspiring data scientists and machine learning engineers

• Data analysts and business intelligence professionals

• Managers and team leaders seeking to understand data-driven strategies

• Professionals in marketing, finance, and operations

• Anyone interested in a career in AI, data science, and analytics

Organisational Impact

• Strengthens organisational capacity to leverage data-driven insights for strategic decision-making.

• Enhances competitiveness by equipping teams with skills in AI, data science, and machine learning applications.

• Reduces dependency on external consultants by building in-house expertise for data analysis and predictive modeling.

• Improves operational efficiency through automation and intelligent systems powered by machine learning.

• Supports innovation in products, services, and customer engagement through data-driven strategies.

Personal Impact

• Equips participants with foundational skills in Python for data science, AI, and machine learning.

• Builds confidence in applying key algorithms such as regression, classification, and clustering to solve problems.

• Provides hands-on experience in real-world applications like customer churn prediction and recommendation systems.

• Expands career opportunities in the rapidly growing fields of AI, data science, and analytics.

• Empowers learners to build a strong portfolio of projects showcasing applied skills in AI and ML.