Applied Data Science with Python

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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).

Skills gained : Modular thinking, Programming basics,
Algorithimic thinking, Problem solving, Debugging

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Test de logiciels et programmation

Applied Data Science with Python

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

Duration

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

Skills Gained

Java, ASP,
Microsoft .Net, SQL server
Object Oriented
Programming, ORM,

Tools

Course Fee ; 2500
Bundle price available
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vouchers

Pricing

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.

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Start Date

Duration

45 Hours

Tuition Fee

Contact the Advisor

7 juill. 2025

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.

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.

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.

Course Outline

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

Skills gained

Deep Learning Fundamentals

Model Implementation

Tensor Manipulation

Model Training and Optimization

Model Deployment

Advanced Techniques

Problem Solving in Deep Learning

Qui peut postuler

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

Marwan Habshi
EPM & Data Analytics Delivery Lead
A fleeting Industry expert with over a decade in Business Intelligence and Analytics spent primarily in Tableau BI applications, Microsoft Power BI, OAC, PBCS, Data management, OBIEE and Essbase mostly in the big four consulting firms. An MBA and IT graduate who combines business goals with technological prowess. Dispenses his passion for knowledge & learning through teaching Business Intelligence & Data methodologies to ardent aspirants.
Mirna Mardini
Software Engineer
Mirna Mardini, based in Montreal, Canada, is an accomplished developer and instructor with a diverse background spanning various roles and industries. Currently working at Tema Solutions as an ERP Developer/ Divalto, she excels in developing new features, installing functionality, and providing technical support.
Sridharan Kilvidi
Sr. Tester
Sridaran is a Software Test Consultant and Trainer with 8 years of teaching experience in private colleges in Montreal and Toronto. With over 15 years of professional experience in Programming and QA, Sridaran has successfully managed Software Quality Assurance efforts for enterprise applications in finance, telecommunications, and service business domains. Passionate about sharing expertise and guiding aspiring professionals in the field of software testing.
Toufiq Lazhri
EPM & Data Analytics Delivery Lead
Sr, Software Consultant with over 25 years of solid programming experiecc , who began hais career with IBM and went on to lead projects in over a dozen torp tire companies. Responsible for founding the Program Analyst program at Montreal COllege is an effective teacher who transmits knowledge to enable student outcomes.
Michel Chamoun
Data Science & Business Analyst
Michel is a highly skilled developer and consultant with expertise in AI, data analysis, and process optimization. As a developer in the GenAI team, he built proof-of-concepts leveraging chatGPT's natural language understanding capabilities and implemented AI modules on Microsoft Azure. As a consultant in the strategy and operations team, he designed algorithms for user access profiling.
Mojtaba Ghasem
Senior Data Scientist
A results-driven Data Scientist with a Ph.D. in Biomedical Engineering, specializing in advanced analytics, predictive modeling, and machine learning. With 5 years of experience and currently working as a Senior Data Scientist, I excel at translating complex analytical insights for non-technical audiences and leading cross-functional teams to deliver impactful business solutions

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

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

Upcoming sessions & Schedule

Enroll

Summer Session

12 févr. 2025

11 févr. 2025

Fall Session

Request
info

10 juin 2025

9 juin 2025

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