Web Development
Data Science
Python
SQL
JavaScript
Artificial Intelligence
IT & Software
IT Certifications
Hacking
AWS
Arduino
DevOps
3D Modeling
Graphic Design
Photoshop
Drawing
Digital Painting
UX Design
Business
Data Analysis
Communication Skills
Project Management
Leadership & Management
Human Resources
Digital Marketing
Social Media Marketing
Marketing
SEO
Google Analytics
Branding
Excel
Office Productivity
SAP
PowerPoint
Microsoft Access
SharePoint
Finance & Accounting
Trading & Investing
Accounting
Bitcoin
Personal Finance
Video Editing & Animation
Photography
Adobe Premier Pro
Adobe Lightroom
Personal Development
Productivity
Career Development
Life Coaching
Health & Fitness
Meditation & Mindfulness
Yoga
Music
Music Production
Guitar
Piano
Singing
Language Learning
Teaching & Academics
Engineering
Math
Lifestyle
S. Emadedin Hashemi Courses
Complete Python and Machine Learning in Financial Analysis
4.5 (580 Reviews)
Provider: Udemy
Time: 20.3h- 2026
$64.99
Visit
Most Recent Review
I like this course because it is complete and perfect. I suggest that you definitely get it. Python coding is very simple and understandable. You can also learn to use machine learning and deep learning.
- Review by Mata Saldon on Complete Python and Machine Learning in Financial Analysis
Instructor Bio
S. Emadedin Hashemi is an instructor and researcher in the fields of Artificial Intelligence, Data Science, and Data Analytics. He has academic teaching experience at the university level and a strong professional background across various industries, where he has led and contributed to multiple real-world AI projects. His work is driven by a practical, problem-oriented approach, focusing on translating complex AI and data-driven concepts into effective solutions for business and industry applications.
As a Udemy instructor, he has taught over 100,000 students worldwide through carefully designed courses that emphasize deep understanding, hands-on skills, and real project readiness. Alongside teaching, he actively publishes academic research and continues his scholarly work in artificial intelligence and data science, maintaining a strong connection between theory, practice, and continuous learning.
