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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
The Python programming language is a high-level, interpreted programming language that is widely used for various applications, including web development, scientific computing, data analysis, and machine learning. It has simple syntax and is easy to learn.
Python programming language was invented by Guido van Rossum.
Python has a simpler syntax and is more suitable for rapid prototyping and data analysis, while Java is better suited for developing large-scale enterprise applications and Android mobile apps.
Python programming offers several benefits such as simplicity, versatility, an abundance of libraries and frameworks, cross-platform compatibility, and strong community support.
Professions that often require knowledge of Python programming language include data analysts, data scientists, software developers, web developers, and machine learning engineers.
Anyone who has an interest in learning Python programming can enroll in the course. There is no eligibility criteria in terms of prior programming experience.
The fee structure of Python courses in Colorado Springs may differ based on several factors like the training organization, course delivery format, and the course duration. Nevertheless, several institutes offer budget-friendly and customizable pricing options for their Python courses.
Apart from technical skills, several non-technical skills can help you learn Python effectively. These include a growth mindset, a positive attitude towards learning, and the ability to accept and learn from constructive criticism. Being proactive, taking initiative, and developing a strong work ethic will also help you stay motivated and focused on your learning goals.
A python develop’s salary in Colorado Springs is $124,529 a year as per Indeed.com.
No specific background is required to enroll in Python courses in Colorado Springs. However, having some basic knowledge of programming concepts can be advantageous.
Having a Python certification can showcase an individual's expertise in the language, making them stand out to potential employers. It can also lead to higher salaries and better job opportunities, as well as provide opportunities for networking and continued professional development.
Python plays a significant role in Data Science Courses because it is a versatile, powerful, and accessible programming language. Its abundant libraries and tools for data analysis, visualization, and machine learning make it an ideal choice for anyone interested in data science.
If you're looking for the best Python training in Colorado Springs, the Certified Python Developer Course is highly recommended for its comprehensive curriculum and engaging learning experience.
No, you don't need any prior knowledge or experience to enroll in the DataMites Certified Python Developer Training in Colorado Springs. Our curriculum starts from scratch and covers all of the essential concepts and tools needed to become a proficient Python developer.
DataMites™ is a renowned institute for data science, accredited by the International Association of Business Analytics Certification (IABAC). With a vast student community worldwide, we provide a comprehensive three-step learning approach. Our curriculum includes self-study materials in Phase 1, live online training in Phase 2, and practical project work and placements in Phase 3. You will work on real-world projects and case studies relevant to the industry, gaining hands-on experience. Upon completion, you will receive a global certification from IABAC, which is highly valued in the industry. You will also have the chance to intern with Rubixe, a leading global technology company
The length of the Python Training courses at DataMites varies depending on the specialization. Generally, the courses take 2 to 3 months to complete, with the Python Developer Course taking the longest at 3 months.
DataMites offers several Python courses in Colorado Springs, and the fees vary depending on the course and mode of training. The fees range from 253 USD to 418 USD.
DataMites has an online Python training course in Colorado Springs that offers the same high-quality education as its offline courses in India.
The Flexi-Pass in DataMites Python Training program in Colorado Springs allows candidates to attend sessions relevant to any questions or revisions they want to clear for three months, providing them with a flexible schedule.
Upon completion of the course, DataMites will award you a Course Completion Certificate to recognize your accomplishment.
Absolutely! At DataMites, you can attend a free demo class to get a glimpse of the training process and curriculum before enrolling in the Python training program and paying the fee.
DataMites online Python training in Colorado Springs can be paid through various methods, including cash, net banking, check, debit card, credit card, PayPal, Visa, Mastercard, and American Express.
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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