Applied Data Science with Python
Learn how to professionally use a wide range of SAP modules like Production Planning (SAP PP), Material Management (SAP MM), and Sales and Distribution (SAP SD).
Algorithimic thinking, Problem solving, Debugging
Duration
36 hours
Schedule : Mon - Wed - Thu
6 PM - 9 PM
Skills gained
Modular thinking,
Programming basics, Algorithimic thinking,
Problem solving
Debugging
Tools
Java, ASP,
Microsoft .Net, SQL server
Object Oriented
Programming, ORM,
Pricing
Course Fee ; 2500
Bundle price available
Request Corporate
vouchers
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.
Enroll
Start Date
Duration
Tuition Fee
36 hrs
CAD 2500
14 June 2025
Key Benefits
Official Accredited
Curicullum
Our curriculum is kept up to date with the latest official Certification syllabus and making you getting ready to take the exam.
Get trained by
Industry experts
Our courses are delivered by professionals with years of experience
in the industry.
24/7
Labs
Our students have access to their labs and course materials at any hour of the day to maximize their learning potential and guarantee success.
Certification
Vouchers
Upto 50 percent discount voucher will be provided.
Tax
Credits
Claim up to 25% of tuition fees and education tax credit from your taxes.
Course Outline
Introduction to Scikit-Learn
This module introduces Scikit-Learn, an essential machine learning library in Python. It covers its core features, including supervised and unsupervised learning algorithms, model training, and evaluation. Students explore Scikit-Learn's functionalities for classification, regression, clustering, and model evaluation, establishing a foundational understanding of machine learning with this powerful library.
SKILLS GAINED
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Machine Learning with Scikit-Learn
Introduction to Tensor Flow
Deep Learning Fundamentals with Tensor Flow
Convolutional Neural Networks (CNNs) with Tensor Flow
This module focuses on Convolutional Neural Networks (CNNs) using TensorFlow. It covers CNN architecture, layers, and their applications in computer vision tasks. Students explore TensorFlow's CNN functionalities for image recognition, object detection, and feature extraction, gaining practical insights into implementing CNNs for various visual tasks.
SKILLS GAINED
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Recurrent Neural Networks (RNNs)
Recurrent Neural Networks (RNNs) are the focus of this module, exploring their architecture and applications in sequential data analysis. Students delve into RNN fundamentals, understanding their ability to process and predict sequential data, such as text or time series. This module covers RNN variations, training techniques, and their diverse applications in natural language processing, speech recognition, and sequential data modeling.
SKILLS GAINED
…………………………………………………………………………………………………………………………………………………………
Introduction to PyTorch and Tensors
This module introduces PyTorch, a popular deep learning framework, focusing on its fundamental components like tensors and computational graphs. Students explore PyTorch's tensor operations, computational graph creation, and manipulation, establishing a foundational understanding of PyTorch for building neural networks.
SKILLS GAINED
…………………………………………………………………………………………………………………………………………………………
Deep Learning with PyTorch
This module delves into practical deep learning applications using PyTorch. It covers building neural networks, training models, and implementing deep learning techniques. Students explore PyTorch's capabilities for creating, training, and deploying sophisticated deep learning architectures, gaining hands-on experience in implementing advanced machine learning models with PyTorch.
SKILLS GAINED
…………………………………………………………………………………………………………………………………………………………
Advanced PyTorch Techniques and Applications
In this module, advanced PyTorch techniques and applications are explored. It covers topics such as customizing neural network architectures, transfer learning, fine-tuning models, and leveraging PyTorch's advanced functionalities. Students delve into complex applications, model optimization, and deploying PyTorch models for various tasks, enhancing their expertise in advanced deep learning techniques and practical applications with PyTorch.
SKILLS GAINED
…………………………………………………………………………………………………………………………………………………………
Skills gained
Algorithimic
Thinking
Programming
basics
Modular
Thinking
Problem
Solving
Debugging
Instructor Spotlight
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Eligibility Criteria
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.
Prerequisites
Knowledge on Front End Technologies, SQL Programming is required to enroll in this course.
Upcoming sessions & Schedule
Enroll
Summer Session
17 June 2025
Register before
30th May 2025
Enroll
Fall Session
17 October 2025
Register before
30th May 2025
Enroll
Winter Session
12 February 2026
Register before
30th May 2025
Enroll
Enroll for this
Certification
20th June
Start Date
CAD 2500/-
Stand alone Certification
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Get Bundle
pricing
Get Bundle
SQL + BI + Python Programming
6000 CAD
Bundle price for three
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Related programs
Business Analyst of Information Technology
When do I get the MCIT Certificate?
Upon completion of the certification course classes you will be provided with an MCIT certificate.
FAQs
About the Instructor?
Is there any Teaching Assistance facility available?
Is there any Voucher to take the Official certification?
I need help in choosing the correct courses for my job role. Can you assist?
Definitely. Please feel free to contact our office, we will be more than happy to work with you to meet your training needs.
When do I get the MCIT Certificate?
Upon completion of the certification course classes you will be provided with an MCIT certificate.
Montreal College of Information Technology
Collège des technologies de l’information de Montréal
200-1255 Robert-Bourassa Blvd.
Montreal, Quebec H3B 3B2
+1 514 405 6874
info@montrealcollege.ca