4.8 (45,512) reviews 36,000
17,900*
NO COST EMI : 2,983 p.m for 6 Months
*Offer valid till 15th December 2024
Instructor Led Live Online
Self Learning + Live Mentoring
In - Person Classroom 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 an advanced, interpreted language launched in 1991, acclaimed for its clarity, simplicity, and brevity. It's an ideal introductory language for coding novices due to its straightforward syntax. Python's versatility spans across web development, scientific computation, data analytics, AI, machine learning, and beyond. Being open-source, it allows free usage, modification, and distribution, which has contributed to its global popularity.
Python's flexibility makes it suitable for web development, scientific computation, data analysis, AI, machine learning, automation, among others. Its comprehensive libraries and ease of use have cultivated an extensive developer community, constantly enhancing its capabilities.
Choosing between Python and C++ hinges on project requirements and developer expertise. Python excels in readability and ease of use, ideal for data analysis and rapid development, while C++ offers performance and control for high-stakes computing.
Python's popularity stems from its user-friendly syntax, rich libraries, open-source nature, and cross-platform compatibility. Its community-driven growth and adaptability across various applications also contribute significantly to its widespread use.
Python's simplicity and community support make it accessible for beginners. It requires practice to master, but its straightforward syntax and abundant resources facilitate the learning process.
Professionals across data science, AI, web development, and software engineering frequently use Python due to its versatility and robust library ecosystem.
Python courses are open to all interested individuals. Basic programming knowledge is beneficial but not mandatory, making Python accessible to beginners and experienced programmers alike.
Python course fees in India typically range from ₹15,000 to ₹30,000, varying with the course's depth and duration.
Learning Python effectively requires an understanding of basic programming concepts, logical thinking, and problem-solving abilities, along with a commitment to continuous learning and practice.
Python courses' duration can vary; basic courses might last 4 to 10 weeks, while more advanced training could extend from 10 to 15 weeks. Online courses may offer flexible timelines.
The average Python developer's salary in India is around INR 6,92,432 per year, according to Indeed.com.
DataMites stands out for offering exemplary Python training in India, featuring a comprehensive curriculum, expert instructors, and practical experience through internships.
The Certified Python Developer course in India by DataMites is considered the best for its hands-on approach and recognized certification.
There are no strict prerequisites, but an understanding of basic programming can be beneficial.
DataMites provides a robust curriculum, flexible learning options, and IABAC-recognized certification, making it a top choice for Python training.
The basic course can be completed in 4 to 6 weeks, with advanced courses taking up to 12 weeks.
The fee for Python courses at DataMites ranges from ?15,000 to ?30,000, depending on the course level.
Yes, DataMites does offer both python classroom training in India and online python training in India. The classroom training is available in major Indian cities like Bangalore, Chennai, Pune, Hyderabad, and Mumbai. This offers a great opportunity for learners who prefer an in-person learning experience. For those in other locations or who prefer the convenience of learning from home, DataMites also provides comprehensive online training options. This dual approach ensures that a wide range of learners across India can access and benefit from their Python courses.
Flexi Pass allows learners to choose any three courses within a year, providing versatility and added benefits like webinars and workshops.
Yes, after successfully completing the Python training, DataMites provides a globally recognized certification accredited by the International Association of Business Analytics Certification (IABAC). This IABAC certification is a testament to the high-quality training and skills acquired through the course, and it is well-regarded in the global professional community, including in India.
Missed sessions can be compensated by scheduling with instructors or accessing recorded classes.
DataMites understands that mastering MLOps can be challenging, and some topics may require additional clarification. To accommodate this, they offer extra help sessions upon request. These sessions are designed to provide students with personalized attention and support, ensuring a deeper and more comprehensive understanding of complex topics.
DataMites accepts various digital payments, including debit/credit cards, net banking, and PayPal.
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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