Data Science Machine Learning with Python Programming

Introduction

This Data Science and Machine Learning course is quite comprehensive and suitable for you even if you have little knowledge about data science or if you are just exploring.

The course will provide you with all essential materials such problem solving skills, Investigative skills, Innovative skills, observative skills and critical Thinking skills.

You will be learning the latest tools and technologies that are used in large companies such as Google, Netflix, Facebook, and other Retailers.

Prerequisites

• Not Required.

SQA Framework:

This course is aligned with the PDA (Professional Development Award) Data Science (SQA) at SCQF level 8, learners will be able to earn 40 credits upon passing all relevant exams successfully.

Course Objectives:

• Introduction to Data Science
• Python Basics
• Python Advance
• Python Advance and Practice Sessions
• Basics of Statistics
• Data Visualization in Python
• Linear Regression
• Logistic Regression
• Classification using Decision Tree
• Unsupervised learning
• Basics of NLP
• Advanced Regression
• Introduction to Neural Networks
• Model selection and General ML Techniques
• Revision
• Project

Hands on Experience:

The features of the course include practical exercises and labs and easy to understand lessons. This course is adequate to provide trainees with the required knowledge and practical skills to be a Data Scientist or AI Engineer.

Why should you attend the course?

• If you are curious about Data Science and Machine Learning.
• If you have been lately exploring Data Science and Machine Learning or have been playing around with it for a while.
• If you want to work as a Professional Data Scientist or an AI Engineer.
• If you want to boost your Data Science skills.
• Trained and certified Data Scientist are needed worldwide.
• More Data Scientist are getting certified than ever before because certifications
• Validate your knowledge and skills
• Help you remain competitive and employable
• Give you job proficiency more quickly
• Show dedication to your career