Instructor Led Live Online
Self Learning + Live Mentoring
Customize Your Training
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 general-purpose programming language that can be used for various tasks, such as creating web applications, data analysis, and scientific computing. It's widely used in the tech industry for its simplicity, efficiency, and versatility.
Guido van Rossum is the person behind the development of the Python programming language, and it was first introduced in 1991.
Python programming and Java programming differ in their approach to programming paradigms, their syntax, and the ecosystem of tools available for development.
Some reasons to consider using Python Programming include its simplicity, fast development time, and broad applicability across various domains.
Job roles that require knowledge of Python programming language include data analysts, data scientists, software engineers, web developers, and scientific researchers.
Individuals with a desire to learn programming but no prior experience can start with Python courses as it is a simple and easy-to-understand language.
On average, a Python course in Cleveland can cost anywhere between $500 to $3000 depending on the institution and location.
In addition to technical skills, non-technical skills such as time management, organization, creativity, and collaboration are necessary for learning Python.
A python developer’s salary in Cleveland is USD 124,380 a year as per Indeed.
Basic programming knowledge, problem-solving skills, and logical thinking are highly recommended to learn Python. However, there are no formal prerequisites for learning Python.
Python Certification in Cleveland is critical for those seeking to enhance their job prospects in the field of software development or data science, as it demonstrates their competence in the language and their dedication to the profession.
Python is widely used in the field of data science because it is adaptable, user-friendly, and provides a vast collection of libraries and tools for data exploration and analysis. As a result, proficiency in Python is considered essential for anyone seeking to enter the field of data science and succeed.
The Certified Python Developer Course is a carefully crafted Python course that provides a comprehensive introduction to the language and covers all essential topics in-depth.
There are no specific academic or professional backgrounds required to enroll in the DataMites Certified Python Developer Training in Cleveland.
DataMites™ is a distinguished global institute specializing in data science education, with a certification recognized by IABAC. The three-phase learning method includes self-study materials, intensive live online training, and practical project work with industry experts, providing a comprehensive understanding of the subject matter. The training program includes real-world projects and case studies, ensuring that the content is highly relevant and practical. Upon completing the program, you will receive a globally recognized certification and the chance to intern with a top global technology company.
The duration of the Python Courses offered by DataMites in Cleveland varies depending on the specialization you choose. Generally, the program lasts between 2 to 3 months, with training sessions held on both weekdays and weekends. The Python Developer Course takes 3 months, while all other specialization courses can be completed within 2 months.
The cost of Python Courses at DataMites in Cleveland varies depending on the mode of training you choose. The Python Course Fees range from 253 USD to 380 USD, while the Certified Python Developer Training Fees range from USD 253 to 418 USD, depending on the mode of training you opt for.
DataMites in Cleveland does not offer offline Python training. However, their online Python training program provides learners with flexibility and convenience.
The Flexi-Pass offered by DataMites for Python Training in Cleveland provides candidates with a three-month period to attend sessions and seek clarification on any questions or revisions they need. This allows for greater flexibility and convenience in the learning process.
Yes, DataMites in Cleveland provides a Course Completion Certificate after successful completion of the Python Course, acknowledging your completion of the program.
Yes, DataMites in Cleveland provides a complimentary demo class for students to attend before committing to the Python Training.
You can choose to pay using any of the available payment methods, including Cash, Net Banking, Check, Debit Card, Credit Card, PayPal, Visa, Mastercard, or American Express for the DataMites Python Training Online in Cleveland.
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.