Python Programming
Learn to master industry-standard tools and techniques such as OOP concepts, build web services, mini-projects in Java, user interface development, create and manage databases, SQL, spring framework, hibernate framework, JSP and servlets.
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
Aperçu du programme
This Certificate course on Python Programming is designed to take participants from beginners to proficient Python developers. Whether you're new to programming or seeking to expand your coding skills, this course provides a comprehensive exploration of Python's versatility and applications. Through a blend of theoretical lessons, hands-on exercises, and real-world projects, participants will gain a solid foundation in Python programming and develop the ability to create a wide range of applications.
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 Python
This module introduces Python, exploring its varied uses and the Python interpreter for program execution. It covers the interactive prompt, guiding students through starting and running interactive code sessions to facilitate hands-on learning with Python.
SKILLS GAINED
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Python Object Types & Numeric Types
String, lists & Dictionaries
Tuples, sets & Assignment operators
Conditional & looping Statements
This module in Python covers fundamental aspects of conditional and looping statements. It introduces 'if' statements for conditional execution and explores the usage of 'while' and 'for' loops for repetitive tasks. The curriculum includes control flow modifiers like 'break,' 'continue,' and 'pass,' offering comprehensive insights into managing program flow and decision-making structures.
SKILLS GAINED
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Functions and Generators
This module introduces functions and generators in Python, covering their basics, definition, calls, and showcasing polymorphism. It details local variables, Python scope basics, the LEGB rule for name resolution, built-in scope, and the 'global' statement. Additionally, it explores nested functions and their scopes, providing a comprehensive understanding of Python's function structure and scoping rules.
SKILLS GAINED
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Modules & Packages
This module focuses on Python's modular approach using modules and packages. It covers importing modules, organizing code into packages, and utilizing namespaces for accessing module contents. Additionally, it explores 'init.py' files in packages, offering insights into creating, importing, and effectively using modular structures in Python programming.
SKILLS GAINED
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Classes and OOP's
This module delves into exceptions handling in Python, addressing error management and recovery strategies. It covers try-except blocks, raising exceptions, and utilizing tools for effective debugging and error resolution. Students explore exception handling techniques, debugging tools, and error recovery methods, enhancing their skills in managing errors and ensuring robust code performance.
SKILLS GAINED
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Exceptions and Tools
This module covers intro to the GroupBy Module, First Operations with groupby Object, Retrieve a group from a GroupBy object with the get_group Method, Methods on the Groupby Object and DataFrame Columns, Grouping by Multiple Columns and Iterating through Groups.
SKILLS GAINED
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Data analysis using Numpy library
In this module, students delve into data analysis using the Numpy library in Python. It covers array creation, manipulation, mathematical operations, and statistical functionalities provided by Numpy. The curriculum explores Numpy's array manipulation, mathematical capabilities, and statistical tools, offering a comprehensive understanding of data analysis with this powerful library.
SKILLS GAINED
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Data analysis using Pandas library
This module centers on data analysis utilizing the Pandas library in Python. It covers data manipulation, handling, and analysis using Pandas' DataFrame and Series structures. Students explore Pandas' functionalities for data ingestion, cleaning, manipulation, and analysis, gaining a robust toolkit for comprehensive data handling and exploration.
SKILLS GAINED
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Data Visualization with Pandas
This module explores comprehensive data visualization using Pandas, covering advanced data selection, time series analysis, and exploratory data analysis (EDA) techniques. It delves into creating multi-indexing, handling large datasets, and applying Pandas to real-world case studies.
SKILLS GAINED
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Data Visualization with Matplotlib
This module introduces data visualization using Matplotlib in Python, covering plot creation for line, scatter, and bar plots. It explores plot customization, including labels, titles, legends, and annotations, and delves into subplots, saving plots, and exporting them. Additionally, it includes visualization of categorical data, distributions, relationships, and geographic data using various techniques and plot types within Matplotlib, offering a comprehensive understanding of data visualization in Python.
SKILLS GAINED
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Exploratory Data Analysis with Seaborn
This module introduces Seaborn for exploratory data analysis (EDA) in Python. It covers Seaborn's features, focusing on visualizing data distributions using histograms, KDE plots, and rug plots. It explores visualizing relationships via scatter plots, pair plots, and joint plots, as well as categorical data visualization using bar plots, count plots, and box plots. Additionally, it includes styling and customization features within Seaborn, providing a comprehensive toolkit for effective EDA using Seaborn.
SKILLS GAINED
…………………………………………………………………………………………………………………………………………………………
Skills gained
Algorithimic
Thinking
Programming
basics
Modular
Thinking
Problem
Solving
Debugging
Qui peut postuler
L'éducation pratique en TI est le pont entre votre diplôme et votre carrière.
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
Contactez-nous
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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Upon completion of the certification course classes you will be provided with an MCIT certificate.
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
+1 514 405 6874
info@montrealcollege.ca