5 Machine Learning Courses for Aspiring Data Scientists

Being a data scientist isn't easy—you need to stay ahead of the curve with the latest advancements in machine learning, data analysis, and technology. To thrive in this fast-paced field, it's crucial to continuously sharpen your skills and become better than you were yesterday.

But how do you elevate your machine learning expertise? Should you pursue a formal degree in data science? Or should you opt for online machine learning courses to upskill?

Online courses are the way to go—they're more affordable, save you the hassle of commuting, and give you access to some of the best minds in the industry. You can learn from experts like Andrew Ng, Aurélien Géron, and Sebastian Raschka, all from the comfort of your home, without worrying about time zones or locations.

So, now you’re probably wondering—Which online machine learning course should I take? With so many options on platforms like Coursera, Udacity, and edX, how do you choose the right one? Don’t stress. We’ve done the heavy lifting for you. After carefully reviewing hundreds of courses, we’ve identified the top 5 machine learning courses that stand out for their quality, depth, and relevance. These courses are designed to help you build a solid foundation and stay ahead in the fast-evolving world of data science.

Course Name	Vendor Name	Course Duration	USP (Unique Selling Proposition)
PG Program in Artificial Intelligence and Machine Learning	Great Learning	12 months	Co-branded certificate with The University of Texas at Austin; personalized mentorship and multiple capstone projects.
Master of Science in Machine Learning & AI	upGrad	19 months	Master’s degree from Liverpool John Moores University; 15+ industry projects with comprehensive career support.
Machine Learning Course Masters Program	Edureka	11 months	Lifetime access to course materials, 24/7 support and hands-on industry projects for practical learning.
Advanced Certification in Data Science and Artificial Intelligence	Intellipaat in collaboration with IIT Madras	7 months	Advanced certification from IIT Madras; strong focus on practical applications with real-world capstone projects.
Machine Learning using Python	Simplilearn	6 months	Lifetime access to course materials; 24/7 support with a focus on applying machine learning techniques in practical projects.

1. PG Program in Artificial Intelligence and Machine Learning - Great Learning

About the Course:

• Duration: 12 months.
• Mode: Online with weekly mentorship sessions.
• Focus: Comprehensive coverage of AI and ML, starting from basics to advanced topics.
• Key Topics Covered:
• Supervised and Unsupervised Learning
• Deep Learning
• Natural Language Processing (NLP)
• Computer Vision
• Capstone projects and industry case studies

Why Choose This Course?

• Projects: Involves multiple capstone projects that allow you to apply theoretical knowledge in practical, real-world scenarios.
• Mentorship: Personalized mentorship sessions with industry experts and professors from top institutions.
• Value for Money: Provides extensive content, hands-on experience, and personalized guidance, making it a valuable investment for advancing in AI and ML.
• Certification: Co-branded certificate from Great Learning and The University of Texas at Austin.
• Learning Experience: Well-structured with a blend of theoretical concepts and practical applications, suitable for both beginners and professionals.

2. Master of Science in Machine Learning & AI - upGrad

About the Course:

• Duration: 19 months.
• Mode: Online with live sessions.
• Focus: In-depth learning in machine learning and AI, covering advanced topics and practical applications.
• Key Topics Covered:
• Deep Learning
• Generative AI
• Reinforcement Learning
• Natural Language Processing (NLP)
• 15+ industry projects and case studies

Why Choose This Course?

• Projects: Offers over 15 real-world industry projects, allowing you to apply learned concepts.
• Faculty: Taught by faculty from Liverpool John Moores University and industry experts.
• Value for Money: Includes 750+ hours of learning, comprehensive course content, and career support.
• Certification: Master’s degree from Liverpool John Moores University.
• Career Support: Includes mock interviews, resume building, and access to a job portal, enhancing job readiness.

3. Machine Learning Course Masters Program - Edureka

About the Course:

• Duration: 11 months.
• Mode: Online with live instructor-led sessions.
• Focus: Provides extensive knowledge in machine learning using tools like Python and TensorFlow, including practical projects.
• Key Topics Covered:
• Python Programming
• TensorFlow
• Natural Language Processing (NLP)
• Deep Learning
• Reinforcement Learning

Why Choose This Course?

• Projects: Includes industry-relevant projects to enhance practical learning.
• Support: 24/7 learning support and lifetime access to course material.
• Value for Money: Comprehensive coverage of machine learning topics with lifetime access to resources.
• Certification: Certificate from Edureka upon completion of the course.
• Learning Experience: Structured to be interactive with real-time case studies and projects.

4. Advanced Certification in Data Science and Artificial Intelligence - Intellipaat in Collaboration with IIT Madras

About the Course:

• Duration: 7 months.
• Mode: Online with a combination of self-paced learning and live sessions.
• Focus: Advanced concepts in data science and AI, with a strong emphasis on practical application.
• Key Topics Covered:
• Python Programming
• Machine Learning Algorithms
• Data Science with R
• Neural Networks
• Capstone projects and industry case studies

Why Choose This Course?

• Projects: Includes capstone projects that provide hands-on experience with real-world problems.
• Certification: Advanced Certification from IIT Madras and Intellipaat.
• Career Support: Offers resume-building workshops, mock interviews, and career services to help with job placements.
• Value for Money: Provides in-depth learning from a reputed institute like IIT Madras, coupled with career support.
• Learning Experience: Designed to be interactive and engaging, with a focus on applying knowledge to real-world scenarios.

5. Machine Learning using Python - Simplilearn

About the Course:

• Duration: 6 months.
• Mode: Online with a combination of self-paced learning and instructor-led sessions.
• Focus: Aim to provide practical knowledge of machine learning using Python, including various ML models and techniques.
• Key Topics Covered:
• Python Programming
• Machine Learning Models
• Data Visualization
• Libraries like NumPy, Pandas, and SciPy
• Advanced Machine Learning Techniques

Why Choose This Course?

• Projects: Involves hands-on projects that help apply learning in practical scenarios.
• Support: 24/7 learning support ensures all queries are addressed promptly.
• Value for Money: Offers a comprehensive curriculum at a reasonable cost, with lifetime access to course material.
• Certification: Certification from Simplilearn upon course completion.
• Learning Experience: Structured to provide a blend of theoretical knowledge and practical application, suitable for beginners and intermediate learners.