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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 Variables
• Python basic data types
• Number & Booleans, strings
• Arithmetic Operators
• Comparison Operators
• Assignment Operators
• IF Conditional statement
• IF-ELSE
• NESTED IF
• Python Loops basics
• WHILE Statement
• FOR statements
• BREAK and CONTINUE statements
• Basic data structure in python
• Basics of List
• List: Object, methods
• Tuple: Object, methods
• Sets: Object, methods
• Dictionary: Object, methods
• Functions basics
• Function Parameter passing
• Lambda functions
• Map, reduce, filter functions
• Decorators
• Generators
• Context Managers
• Metaclasses
• Inheritance and Polymorphism
• Encapsulation and Abstraction
• 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
• SQL Basics
• Creating DB Table
• INSERT, READ, UPDATE, DELETE
• Introduction to MongoDB
• CRUD operations in MongoDB
• namedtuple(), deque, ChainMap,
• Counter, OrderedDict, defaultdict,
• UserDict, UserList, UserString
• Exceptions handling with try-except
• Custom exception handling
• List of general use exception
• Best practice exception handling
• Generators, Iterators
• The Functions any and all
• With Statement
• Data Compression
• A Daytime Server
• Clients and Servers
• The Client and Server Programs
• Classes and Threads
• Multi-threading; thread life cycle
• Regular Expression Syntax
• Group, Split and wildcards
• Quantifiers
• Match, Search and Find all methods
• Character Sequence
• Introduction to OpenCV, Installation
• Basic Operations on Images
• Image Filtering
• Image Classification
• Introduction to GIT
• Basic Git commands
• Introduction to Flask and Installation
• Creating project
• Routing,templates, forms and database integration
• Deployment on render
• Django Introduction and Installation
• Creating a Project
• Django Architecture and File Structure
• Folder Structure, First Django project
• Database and Views, Static Files and Forms
• URL Mapping and Routing
• Defining Models and Relationships
• Database Migrations and Schema Changes
• Querying Data using Django ORM
• Model Forms and Form Validation
• HTML Forms in Django
• Model Forms and Form Validation
• Formsets and Inline Formsets
• File Uploads and Validation
• Deploying Django Applications
• Hosting Options (e.g., Heroku, AWS)
• Project Showcasing and Review
Python is a programming language that is interpreted, has a high level of abstraction, and is designed for general-purpose use. It is well-known for its readability and ease of use.
Python finds extensive usage across various domains such as web development, scientific computing, data analysis, artificial intelligence, and machine learning.
To be proficient in Python Programming, one should have a strong grasp of programming concepts such as variables, data types, loops, and functions. Additionally, proficiency in using Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualization is essential. Moreover, one should be knowledgeable about frameworks like Django and Flask for web development.
Python Programming utilizes various tools such as an IDE or text editor such as PyCharm or VS Code, a Python interpreter, a version control system like Git, and libraries such as NumPy, Pandas, and Matplotlib that are useful for data manipulation and visualization.
Python Programming skills are currently in high demand for a wide range of job roles, including software developers, data analysts, machine learning engineers, web developers, and scientific researchers.
It is recommended to have a fundamental understanding of mathematics and programming concepts those who wish to enrol in a Python course in the Los Angeles.
The Python course fee in the Los Angeles ranges from USD 36.99 to USD 489.32.
The duration of Python training varies based on several factors such as the course level, training intensity, and delivery mode. Typically, a basic Python course can take anywhere from 4 to 10 weeks to complete, while an advanced course may require 10 to 15 weeks. However, the duration of online Python courses may differ slightly from classroom-based training.
The salary of a Python developer in Los Angeles ranges from USD 90,181 to USD 116,968 according to the Salary.com report.
DataMites is a highly-rated institute in the Los Angeles that offers a comprehensive Python training program covering all the essential aspects of programming. Their training is suitable for both beginners and experienced learners, making it an ideal choice for those seeking to enhance their Python skills.
DataMites Institute is an optimal choice for individuals looking for Python training because of its comprehensive curriculum, proficient trainers, and adaptable delivery modes. Furthermore, their hands-on training approach with real-world projects and job placement assistance also makes them a sought-after option for learners who want to enhance their Python skills.
DataMites stands out as an excellent option for individuals seeking Python training due to its comprehensive program, experienced trainers, and flexible training options. The hands-on, practical-oriented training with real-world projects and placement support also makes them a top choice for learners who want to enhance their Python skills and increase their career prospects.
DataMites offers Python training courses with different durations to cater to the diverse learning requirements of learners. 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 provides the flexibility of self-paced learning, allowing learners to learn at their own speed. Apart from these, DataMites also provides a Certified Python Developer Course in Los Angeles, which has a duration of 4 months.
The fees for Python courses at DataMites in Los Angeles 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 provides an exclusive program named Flexi Pass, which permits learners to choose and attend any three courses of their liking from a variety of courses offered by DataMites within a year. This program empowers learners to opt for courses that match their interests and career aspirations and complete them at their own pace and convenience. Furthermore, the Flexi Pass offers supplementary advantages such as access to webinars, workshops, and recorded sessions. It is an ideal choice for learners who desire to enhance their skill set and knowledge in various domains.
Yes, a free demo class will be provided to give you an overview of the training approach and its components.
DataMites doesn't offer classroom-based Python training in the Los Angeles. Rather, 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 both novice and experienced learners and are taught by knowledgeable trainers.
DataMites provides a certification exam for learners who pass their program. This certification is widely recognized by various organizations and industries, indicating the individual's proficiency in Python programming. Acquiring this certification can help enhance career growth and employment prospects for the learners. Additionally, DataMites offers support to learners in preparing for the certification exam, ensuring that they are well-prepared and self-assured in their skills.
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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