Applied Data Science with Python
Applied Data Science with Python
Master the tools and techniques used by data scientists every day.
Learn from industry experts as you build real-world machine learning models and take your Python skills to a professional level.
Master the tools and techniques used by data scientists every day.
Learn from industry experts as you build real-world machine learning models and take your Python skills to a professional level.
Talk to an Advisor
Talk to an Advisor


Program Overview
Program Overview
Advanced skills in Python is crucial for many data science roles. In this course, you will continue to build on the Python programming skills you acquired in the previous class by implementing machine learning using python libraries like TensorFlow, Py torch scikit-learn You will learn all the advanced Python libraries which are being used in the real world by data scientists. Data Science with Python training help you advance your career as a data scientist. Through a combination of theoretical concepts, real-world projects, and interactive exercises, participants will learn how to collect, clean, analyze, and visualize data and effectively communicate their findings
Self-paced
Structured learning
Training from Industry-Leading Experts— On Your Schedule.
Take control of your education with a structured learning platform designed to deliver cutting-edge technical skills in consumable segments you can access anytime, anywhere.
Self-Paced, Flexible Learning
Follow expert-architected paths from novice to specialist on your own terms. Access repeatable lectures and technical modules 24/7—anytime, anywhere, online or off.
Adaptive Skill Assessments
Skip what you already know. Use data-driven evaluations to identify knowledge gaps and generate a personalized roadmap that eliminates redundant study and maximizes efficiency.
Enterprise-Grade Hands-On Labs
Execute in private, high-performance sandboxes. Access the exact infrastructure used by elite tech teams 24/7 to master real-world technical scenarios with zero local setup.
Certification-Ready Prep
Validate your expertise with unlimited practice assessments. Mirror the rigor and format of official professional exams to ensure you are 100% ready for exam day.
Program at a Glance
Enrollment
On Demand
Access
Duration of Course
Program Duration
5 Weeks
Enroll
Self-paced
Structured learning
Training from Industry-Leading Experts— On Your Schedule.
Take control of your education with a structured learning platform designed to deliver cutting-edge technical skills in consumable segments you can access anytime, anywhere.
Self-Paced, Flexible Learning
Follow expert-architected paths from novice to specialist on your own terms. Access repeatable lectures and technical modules 24/7—anytime, anywhere, online or off.
Adaptive Skill Assessments
Skip what you already know. Use data-driven evaluations to identify knowledge gaps and generate a personalized roadmap that eliminates redundant study and maximizes efficiency.
Enterprise-Grade Hands-On Labs
Execute in private, high-performance sandboxes. Access the exact infrastructure used by elite tech teams 24/7 to master real-world technical scenarios with zero local setup.
Certification-Ready Prep
Validate your expertise with unlimited practice assessments. Mirror the rigor and format of official professional exams to ensure you are 100% ready for exam day.
Program at a Glance
Enrollment
On Demand
Access
Duration of Course
Program Duration
5 Weeks
Enroll
Course Outline
Course Outline
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Introduction to Scikit-Learn
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Machine Learning with Scikit-Learn
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Introduction to Tensor Flow
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Deep Learning Fundamentals with Tensor Flow
Deep Learning Fundamentals with Tensor Flow
Convolutional Neural Networks (CNNs) with Tensor Flow
Convolutional Neural Networks (CNNs) with Tensor Flow
Recurrent Neural Networks (RNNs)
Recurrent Neural Networks (RNNs)
Introduction to PyTorch and Tensors
Introduction to PyTorch and Tensors
Deep Learning with PyTorch
Deep Learning with PyTorch
Advanced PyTorch Techniques and Applications
Advanced PyTorch Techniques and Applications
Introduction to Scikit-Learn
Machine Learning with Scikit-Learn
Introduction to Tensor Flow
Deep Learning Fundamentals with Tensor Flow
Convolutional Neural Networks (CNNs) with Tensor Flow
Recurrent Neural Networks (RNNs)
Introduction to PyTorch and Tensors
Deep Learning with PyTorch
Advanced PyTorch Techniques and Applications
Eligibility
Eligibility
Learners need to possess an undergraduate degree or a high school diploma. No need of any professional experience is required as this is the fundamental course.
Possess an undergraduate degree or a high school diploma.
Prerequisites
Statistics, Machine Learning and Python Programming are prerequisites for this certification course.
Take action
Take action
Get Certified
Get Certified
Related programs
Related programs
FAQs
FAQs
What is the Applied Data Science with Python Certification?
What skills should a data science expert know?
Which industries use data science the most?
What does a data scientist with Python skills do?
Who are the instructors for this data science with Python course, and how are they selected?
What is the career path after completing the Python Data Science Course?
What job roles are available after obtaining a data science with Python certification?
Does Data Science require a background in coding?
Is this course suitable for beginners?
Does the course include a sandbox environment for practice?
Are there any prerequisites for enrolling in these programs?
What skills should a data science expert know?
Are these programs suitable for beginners?
Which industries use data science the most?
How is the program content structured?
What does a data scientist with Python skills do?
What is the admission Criteria for this Program?
Who are the instructors for this data science with Python course, and how are they selected?
What career paths can I pursue after completing these programs?
What is the career path after completing the Python Data Science Course?
What teaching methods are used in your programs?
What job roles are available after obtaining a data science with Python certification?
Are there opportunities for practical experience or internships?
Does Data Science require a background in coding?
Can I study part-time or online?
Is this course suitable for beginners?
Does the course include a sandbox environment for practice?
Does the course include a sandbox environment for practice?
What does the software testing program entail?
What is the Applied Data Science with Python Certification?

Montreal College of Information Technology
200-1255 Robert-Bourassa Blvd.
Montreal, Quebec H3B 3B2
+1 514 312 2383
info@montrealcollege.ca

Montreal College of Information Technology
200-1255 Robert-Bourassa Blvd.
Montreal, Quebec H3B 3B2
+1 514 312 2383
info@montrealcollege.ca


Montreal College of Information Technology
Collège des technologies de l’information de Montréal
200-1255 Robert-Bourassa Blvd.
Montreal, Quebec H3B 3B2
+1 514 312 2383
info@montrealcollege.ca


Montreal College of Information Technology
Collège des technologies de l’information de Montréal
200-1255 Robert-Bourassa Blvd.
Montreal, Quebec H3B 3B2
+1 514 312 2383
info@montrealcollege.ca