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The entire training includes real-world projects and highly valuable case studies.
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• Introduction of python
• Installation of Python and IDE
• Python objects
• Python basic data types
• Number & Booleans, strings
• Arithmetic Operators
• Comparison Operators
• Assignment Operators
• Operator’s precedence and associativity
• IF Conditional statement
• IF-ELSE
• NESTED IF
• Python Loops basics
• WHILE Statement
• FOR statements
• BREAK and CONTINUE statements
• Basic data structure in python
• String object basics and inbuilt methods
• List: Object, methods, comprehensions
• Tuple: Object, methods, comprehensions
• Sets: Object, methods, comprehensions
• Dictionary: Object, methods, comprehensions
• Functions basics
• Function Parameter passing
• Iterators
• Generator functions
• Lambda functions
• Map, reduce, filter functions
• NumPy Introduction
• Array – Data Structure
• Core Numpy functions
• Matrix Operations
• Pandas functions
• Data Frame and Series – Data Structure
• Data munging with Pandas
• Imputation and outlier analysis
• Oops basic concepts.
• Creating classes
• Inheritance
• Polymorphism
• Encapsulation and Abstraction
• Decorator
• Class methods and static methods
• Special (magic/dunder) methods
• Property decorators - getters, setters, and deletes
• Working with files
• Reading and writing files
• Buffered read and write
• Other file methods
• Logging & Debugger
• Modules and import statements
• Exceptions handling with try-except
• Custom exception handling
• List of general use exception
• Best practice exception handling
• What is web API
• Difference b/w API and web API
• Rest and soap architecture
• Restful services
• Introduction to Flask
• Flask application
• Open link flask
• App routing flask
• URL building flask
• Http methods flask
• Templates flask
• Setting up Project Environment and folders
• Working with Git Repository
• Requirements and Project Documents
• Hands-on Python Project coding
• Deploying the Application
Python is a general-purpose programming language that is highly readable and known for its simplicity. It is interpreted, meaning that it can be executed directly without the need for compilation.
Python finds extensive use in various fields, such as scientific computing, artificial intelligence, machine learning, data analysis, and web development.
To become proficient in Python Programming, one needs to understand fundamental programming concepts such as data types, loops, functions, and variables. Additionally, one should have expertise in utilizing Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualization. Knowledge of frameworks such as Django and Flask for web development is also necessary.
Python Programming requires various tools, such as an Integrated Development Environment (IDE) or a text editor, including PyCharm or VS Code, a Python interpreter, a version control system like Git, and libraries such as NumPy, Pandas, and Matplotlib for manipulating and visualizing data.
There is a significant demand for Python skills in various job roles, including software development, data analysis, machine learning engineering, web development, and scientific research.
Having a basic understanding of mathematics and programming concepts would be advantageous as eligibility criteria for taking a Python course in Toronto
The Python course fee in Toronto ranges from CAD 497.60 to CAD 663.47.
The length of Python training can vary depending on factors such as the level of the course, the intensity of training, and the delivery method. Typically, completing a basic Python course may take anywhere from 4 to 10 weeks, while an advanced course may require 10 to 15 weeks. However, the duration of online Python courses may differ slightly from those conducted in a classroom setting.
The salary of a Python developer in Toronto ranges from CAD 89,243 per year according to a Glassdoor report.
DataMites is a highly regarded institute in Toronto that offers a comprehensive Python training program covering all critical aspects of Python programming. Their training is suitable for both beginners and experienced learners, making it an excellent option for anyone looking to enhance their Python skills.
The DataMites Institute is an excellent choice for those looking for Python training, thanks to its comprehensive program, skilled instructors, and flexible delivery methods. Their training program is designed to be practical and project-based, with a focus on hands-on learning, making them a popular option for learners looking to enhance their Python skills. Additionally, they provide placement assistance, which adds to their appeal.
DataMites is a highly recommended institute for Python training due to its comprehensive program, expert trainers, and adaptable delivery methods. Furthermore, their practical approach to training, which includes hands-on projects, and their commitment to placement assistance, make them an excellent choice for learners looking to enhance their Python skills and advance their career opportunities..
DataMites offers Python courses of different durations to cater to various learning requirements. Their basic Python course can be completed within 4 to 6 weeks, while the advanced course may take up to 12 weeks. The online Python course is flexible and self-paced, enabling learners to progress at their own speed. Moreover, DataMites provides a Certified Python Developer Course in Toronto that spans four months.
The fees for Python courses at DataMites in Toronto are flexible, starting from C$ 377 to C$ 640 while the Certified Python Developer Training costs range between C$ 461 to C$ 1,000.
Learning Through Case Study Approach
Theory → Hands-on → Case Study → Project → Model Deployment
DataMites provides a distinctive program called Flexi Pass, which gives learners the flexibility to select and attend any three courses of their choosing from a wide array of courses offered by DataMites within a year. This program empowers learners to choose courses that match their interests and career aspirations and complete them at their own pace and convenience. In addition, the Flexi Pass offers supplementary benefits, such as access to webinars, workshops, and recorded sessions. It is an excellent option for learners seeking to improve their knowledge and skill sets in various fields.
Certainly, you will be given a complimentary demo class that will provide you with an overview of the training and what to expect during the course.
DataMites does not offer traditional classroom-based Python training in Toronto. Instead, they provide online training programs that enable learners to study at their own pace and convenience from any location. These online courses are appropriate for learners of all levels, from novices to advanced learners, and are delivered by experienced trainers.
Yes, DataMites provides certification to learners who pass the certification exam, which is recognized by various organizations and industries, signifying the learner's proficiency in Python programming. Obtaining this certification can improve career growth and job prospects for learners. Additionally, DataMites assists learners in preparing for the certification exam, ensuring that they are adequately prepared and confident in their abilities.
The different payment methods available for DataMites Python training Online are:
The DataMites Placement Assistance Team(PAT) facilitates the aspirants in taking all the necessary steps in starting their career in Data Science. Some of the services provided by PAT are: -
The DataMites Placement Assistance Team(PAT) conducts sessions on career mentoring for the aspirants with a view of helping them realize the purpose they have to serve when they step into the corporate world. The students are guided by industry experts about the various possibilities in the Data Science career, this will help the aspirants to draw a clear picture of the career options available. Also, they will be made knowledgeable about the various obstacles they are likely to face as a fresher in the field, and how they can tackle.
No, PAT does not promise a job, but it helps the aspirants to build the required potential needed in landing a career. The aspirants can capitalize on the acquired skills, in the long run, to a successful career in Data Science.
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