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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.

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Applied Data Science with Python

36 hours
Schedule : Mon - Wed - Thu
6 PM - 9 PM

Duration

36 hours
Schedule : Mon - Wed - Thu
6 PM - 9 PM

Duration

Modular thinking,
Programming basics,
Algorithimic thinking,
Problem solving
Debugging

Skills Gained

Modular thinking,
Programming basics,
Algorithimic thinking,
Problem solving
Debugging

Skills Gained

Instructor led or
Self paced
Mentor guided
Online & Hybrid
learning

Learning Methodology

Instructor led or
Self paced
Mentor guided
Online & Hybrid
learning

Learning Methodology

Aperçu du programme

Aperçu du programme

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

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

Start Date

Duration

45 Hours

Tuition Fee

Contact the Advisor

7 juill. 2025

Tuition Fee

2500

Start Date

June 13, 2025

Duration

36 hrs

Tuition Fee

2500

Start Date

June 13, 2025

Duration

36 hrs

Avantages clés

Avantages clés

Get trained by industry Experts

Our courses are delivered by professionals with years of experience having learned first-hand the best, in-demand techniques, concepts, and latest tools.

Get trained by industry Experts

Our courses are delivered by professionals with years of experience having learned first-hand the best, in-demand techniques, concepts, and latest tools.

Official Certification curriculum

Our curriculum is kept up to date with the latest official Certification syllabus and making you getting ready to take the exam.

Official Certification curriculum

Our curriculum is kept up to date with the latest official Certification syllabus and making you getting ready to take the exam.

Tax Credit

Claim up to 25% of tuition fees and education tax credit from your taxes.

Tax Credit

Claim up to 25% of tuition fees and education tax credit from your taxes.

Discount on Certification Voucher

Upto 50 percent discount voucher will be provided.

Discount on Certification Voucher

Upto 50 percent discount voucher will be provided.

24/7 Lab access

Our students have access to their labs and course materials at any hour of the day to maximize their learning potential and guarantee success.

24/7 Lab access

Our students have access to their labs and course materials at any hour of the day to maximize their learning potential and guarantee success.

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

Compétences acquises

Compétences acquises

Deep Learning Fundamentals

Model Implementation

Tensor Manipulation

Model Training and Optimization

Model Deployment

Qui peut postuler

Qui peut postuler

L'éducation pratique en TI est le pont entre votre diplôme et votre carrière.

L'éducation pratique en TI est le pont entre votre diplôme et votre carrière.

Critères d'admissibilité

Critères d'admissibilité

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.

Prérequis

Statistics, Machine Learning and Python Programming are prerequisites for this certification course.

Prochaines sessions et horaire

Prochaines sessions et horaire

Enroll

Summer Session

12 févr. 2025

Register before

11 févr. 2025

Enroll

Summer Session

12 févr. 2025

Register before

11 févr. 2025

Fall Session

10 juin 2025

Register before

9 juin 2025

Fall Session

10 juin 2025

Register before

9 juin 2025

Remind

Winter Session

24 oct. 2025

Register before

23 oct. 2025

Remind

Winter Session

24 oct. 2025

Register before

23 oct. 2025

Contactez-nous

Contactez-nous

20th JuneStart Date

Stand alone Certification

Enroll for this

Certification

Enroll

20th JuneStart Date

Stand alone Certification

Enroll for this

Certification

Enroll

Three Certifications Bundle

AttractiveBundle price for three

Get Bundle pricing

Get Bundle

Three Certifications Bundle

AttractiveBundle price for three

Get Bundle pricing

Get Bundle

Enroll for this
Certification

20th June
Start Date


Stand alone Certification

Enroll

Get Bundle
pricing

Get Bundle

Three Certifications
Bundle

Attractive
Bundle price for three

Contactez-nous

Contactez-nous

FAQs

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?

When do I get the MCIT Certificate?

Y a-t-il des prérequis pour s'inscrire à ces programmes ?

Is there any Teaching Assistance facility available?

Ces programmes conviennent-ils aux débutants ?

Is there any Voucher to take the Official certification?

Comment le contenu du programme est-il structuré ?

I need help in choosing the correct courses for my job role. Can you assist?

Quels sont les critères d'admission pour ce programme ?

When do I get the MCIT Certificate?

Quels parcours professionnels puis-je envisager après avoir terminé ces programmes ?

Quelles méthodes d'enseignement sont utilisées dans vos programmes ?

Y a-t-il des occasions d'acquérir une expérience pratique ou des stages ?

Puis-je étudier à temps partiel ou en ligne ?

Que comprend le programme de test de logiciels ?

About the Instructor?

montreal-college-of-information-technology-footer

Collège de technologie de l'information de Montréal

Collège des technologies de l’information de Montréal

200-1255 Robert-Bourassa Blvd.

Montreal, Quebec H3B 3B2

+1 514 312 2383

[email protected]

montreal-college-of-information-technology-footer

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

[email protected]

montreal-college-of-information-technology-footer

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

[email protected]