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)
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| 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.
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| Examinations | - American Institute of Professional Studies (AIPS) 2 hours Pen Paper Exam.
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| Learning Aids | |
| Course Material | - Hard Copy of Study Material
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| Language of Instruction | |
| Instructor Helpline | |
| Registration Requirements | - Passport Copy
- Curriculum Vitae to assess eligibility
- 2 passport size photographs
- Course Fee
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| Mode of Payment: | - Cash / Cheque / Credit Card / Bank Transfer.
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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.
