MACHINE LEARNING & PYTHON FOR DATASCIENCE - MLDS

Home »MACHINE LEARNING & PYTHON FOR DATASCIENCE - MLDS

Course Overview

This course is designed to provide a comprehensive foundation in the field of data science, with a strong focus on Python programming and machine learning techniques. Whether you're an aspiring data scientist, analyst, or a professional looking to upskill, this course will guide you through the essential concepts and practical applications of data-driven decision-making.

Training Program Details

Training Duration	25-30 Hours (Flexible Schedules)
Certifications:	Machine Learning & Python for Data Science Certification from American Institute of Professional Studies (AIPS), Washington D.C, USA. Machine Learning & Python for Data Science Certification from Knowledge and Human Development Authority (KHDA) government of Dubai, UAE.
Examinations	American Institute of Professional Studies (AIPS) 2 hours Pen Paper Exam.
Learning Aids	Yes
Course Material	Hard Copy of Study Material
Language of Instruction	English
Instructor Helpline	N/A
Registration Requirements	Passport Copy Curriculum Vitae to assess eligibility 2 passport size photographs Course Fee
Mode of Payment:	Cash / Cheque / Credit Card / Bank Transfer.

Who needs this course?

Aspiring Data Scientists
Students & Graduates
Data Analysts & BI Professionals
Researchers & Academics
Business Professionals & Managers
Entrepreneurs & Startups
Freelancers & Consultants
Career Switchers

Course Prerequisites:

No prior programming experience required. The course starts from the basics.
Familiarity with concepts of data analysis is helpful but not mandatory

Course Benefits

By the end of the course, participants will be able to:

Stay competitive by learning two of the most in-demand skills in tech today
Gain experience working with real-world datasets.
Build and deploy end-to-end ML models.
extract insights from raw data.
Use machine learning to automate predictions and decisions.
Make data-backed business or research conclusions.

Why to take this Course?

Practical Skills: You'll gain hands-on experience with Python and data science tools that you can apply directly in real-world scenarios.
Foundational Knowledge: This course lays the groundwork for more advanced data science topics like machine learning, deep learning, and data engineering.
Career Opportunities: With Python and data science skills, you’ll be equipped for various roles in data analysis, data science, and machine learning.

Course Contents

Module 1: Introduction to Data Science & Python
Module 2: Data Handling with Python
Module 3: Data Visualization
Module 4: Introduction to Machine Learning
Module 5: Supervised Learning – Regression
Module 6: Supervised Learning – Classification
Module 7: Unsupervised Learning
Module 8: Feature Engineering & Model Improvement
Module 9: Working with Real-World Datasets
Module 10: Capstone Project & Final Review

*Note: The course duration and topics may vary based on specific requirements.