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The entire training includes real-world projects and highly valuable case studies.
IABAC® certification provides global recognition of the relevant skills, thereby opening opportunities across the world.
• 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 programming language that is interpreted, high-level, and has a general-purpose design. It is popularly known for its readability and simplicity.
Python finds its usage in various applications such as web development, data analysis, scientific computing, artificial intelligence, and machine learning.
To become proficient in Python Programming, one needs to have a strong grasp of programming concepts such as data types, loops, functions, and variables. Additionally, proficiency in using Python libraries such as NumPy, Pandas, and Matplotlib for data analysis and visualization is necessary, and knowledge of web development frameworks like Django and Flask is also essential.
Python Programming can be facilitated with several tools like an integrated development environment (IDE) or a text editor such as PyCharm or VS Code, a Python interpreter, a version control system like Git, and various libraries like NumPy, Pandas, and Matplotlib, which are used for data manipulation and visualization.
There is a high demand for individuals with Python skills in several job roles, including software development, data analysis, machine learning engineering, web development, and scientific research.
To enrol in the Python course in Portland, it is beneficial to have a fundamental grasp of mathematics and programming concepts.
The duration of Python training can vary depending on factors such as the course level, training intensity, and delivery mode. Typically, completing a basic Python course may take approximately 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 that of classroom-based training.
The salary of a Python developer ranges from USD 119,525 per year according to an Indeed report.
DataMites is a highly regarded institute in Portland for those interested in Python training. Their comprehensive program covers essential aspects of Python programming, catering to both beginners and experienced learners. As a result, it is an excellent choice for anyone seeking to enhance their Python skills.
The Python course fee in Portland ranges from USD 36.99 to USD 489.32.
Here's a possible rephrased version: "DataMites Institute is a highly recommended choice for Python training because of its extensive course content, skilled trainers, and adaptable delivery methods. Moreover, their hands-on approach to learning through projects and support for job placement has made them a favoured option for individuals looking to enhance their Python proficiency."
DataMites is a top-notch institute for Python training due to its comprehensive curriculum, experienced instructors, and flexible learning options. Moreover, their hands-on training approach with practical projects and career support services make them a perfect choice for individuals looking to enhance their Python skills and advance their professional opportunities.
DataMites provides Python courses with varying durations to cater to diverse learning needs. The 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 designed to be self-paced, allowing learners to learn at their convenience. Additionally, DataMites offers a 4-month Certified Python Developer Course in Portland.
The fees for Python courses at DataMites in Portland are flexible, starting from USD 246 to USD 380 while the Certified Python Developer Training costs range between USD 246 to USD 410.
Learning Through Case Study Approach
Theory → Hands-on → Case Study → Project → Model Deployment
DataMites Institute provides a distinct Flexi Pass program that permits learners to select and attend three courses of their preference from a wide array of courses available for a year. This program allows learners to opt for courses that match their career aspirations and interests and complete them at their convenience and pace. Besides, the Flexi Pass program offers additional benefits, including access to webinars, workshops, and recorded sessions. It is an excellent opportunity for learners to expand their skill set and expertise in diverse fields.
Yes, DataMites provides a free demo class for learners to have a better understanding of the training methodology and the course content. This demo class is designed to provide learners with a glimpse of the training program, ensuring that they are well informed and confident in their decision to enrol in the Python course.
DataMites does not offer classroom-based Python training in Portland but provides online training programs that enable learners to study at their convenience from anywhere. The online courses are designed to cater to both beginner and advanced learners, and they are taught by experienced trainers.
DataMites provides certification to students who successfully clear the certification exam, which is recognized by various industries and organizations. The certificate confirms the learner's proficiency in Python programming, which can contribute to career growth and job opportunities. Moreover, DataMites assists students in preparing for the certification exam, ensuring they are well-prepared and self-assured 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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