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Self Learning + Live Mentoring
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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 widely used to produce websites and applications, manage operations, and undertake data analysis.
Being a general-purpose language Python is used to develop a broad array of applications and isn't customized for any specific problem.
It was Guido van Rossum who was a dutch programmer who introduced Python.
Guido van Rossum invented it in 1991, and the Python Software Foundation developed it. Its syntax lets programmers express concepts in fewer lines of code, and it was primarily built with code readability in mind. History was about to be written in the late 1980s.
Guido van Rossum was reading the published scripts from "Monty Python's Flying Circus," a BBC comedy series from the 1970s, while he began to implement Python. Van Rossum needed a name for his language that was short, unusual, and a little mysterious, so he came up with Python.
Python outperforms C++ in terms of ease of use and syntax. However, C++ is superior in terms of performance, speed, and application scope. Every programming language is built on the foundation of C and C++. Python is based on C and was created with web programming in mind.
Python is a powerful query and interpreted language, whilst Java is inscribed and compiled. Java is quicker at runtime and simpler to troubleshoot from this one difference, Python is easier to use and read.
Because most modern operating systems are written in C, modern high-level language compilers and interpreters are also written in C. Python is no exception; the most widely used/"traditional" implementation is CPython, which is written in C.
The first and most significant reason for Python's appeal is that it is extremely productive as compared to other programming languages such as C++ and Java. Python is also recognized for its faster and easier programming syntax, code readability, and English-like commands, which together make coding in Python a lot simpler and more convenient.
Python is usually regarded as one of the easiest programming languages to learn, yet it is also one of the most difficult to master. Anyone who works hard enough can learn Python, but becoming a Python Developer will take a lot of practice and patience.
The best part about Python is that it does not require any prior knowledge. Even Freshers with no experience can take up the Python Courses. Python tool suite may be learned and mastered without any technical or programming knowledge. This is the main reason why so many individuals want to learn Tableau in order to advance in their careers.
Python course fees will vary according to the level of training you are looking for. However, when we discuss the fee structure, whether you choose any training provider for your classroom training for Python, ranges from 67.31 USD to 5384.54 USD.
Skills such as data analysis, statistical knowledge, data storytelling, communication and problem-solving will be beneficial for learning data science.
As per Glassdoor.com,
A valuable Python certificate is a potent weapon in the fight for better job opportunities, superior knowledge, and increased competitiveness. Certification can lead to a better job and higher pay. It's a fantastic motivator for self-improvement and growth.
66% of data scientists proclaimed in 2018 that they used Python every single day, making Python the number one language for data science. To successfully undertake data science work, having knowledge and expertise in Python or any other programming language is mandatory.
The duration of Python Training at DataMites will vary according to the specialization you choose. The training usually lasts for 2 to 3 months. Training sessions are imparted on weekdays and weekends. You can choose any as per your availability.
The duration of our Python Developer Course is 3 months whereas that of all other specialization courses are 2 months.
Python being a popular programming language is a highly sought after field of study that assures highly lucrative salary packages. Aspirants can enrol at Datamites for Python Course, we provide in-depth training for your further career.
The Python programming course is available to all students. Students from any discipline can attend Python courses, even if they are graduates, postgraduates, or 12th graders. The Python program is strongly focused on teaching students the principles of the language.
The Certified Python Developer course focuses on educating Python from the get-go. With the introductory lessons, you will quickly and effectively progress from a complete novice to an incredibly high level.
Python for Data Science makes it clear why Data Science and Python are best friends. The course deals with basic data importing, data munging, coding machine learning algorithms, and other programming concepts.
Python is the most abundantly used artificial intelligence and machine learning programming language. Our program python for AI course is intended to inform you how to deploy Python proactively in the context of artificial intelligence.
Python has a number of packages for basic data analysis and machine learning. Understanding Python's reputation as the most famous scripting language for developers, as well as understanding how to create and programme Python programmes, is an essential element of our Python for Machine Learning curriculum.
Deep Learning with Python is a Python-based introduction to deep learning. Python is a computer language that may be used to develop a variety of applications. It's a popular choice among developers for projects involving AI, Machine Learning, and Deep Learning.
The fees for the Python Course will range from:
It all depends on the course and mode of training you choose.
The certified Python Developer Course Fee is as follows:
Live Virtual -
India - 21,000 INR
Discounted Price - 9,900 INR
USA - 282.33 USD
Discounted Price - 133.10 USD
Europe - 250.00 Euro
Discounted Price - 117.86 Euro
Blended -
India - 13,000 INR
Discounted Price - 5,900 INR
USA - 174.78 USD
Discounted Price - 79.32 USD
Europe - 154.76 Euro
Discounted Price - 70.24 Euro
Classroom -
India - 26,000 INR
Discounted Price - 15,900 INR
USA - 349.56 USD
Discounted Price - 213.77 USD
Europe - 309.53 Euro
Discounted Price - 189.29 Euro
Datamites does provide classroom training, but only in Bangalore, India. We would be pleased to host one in other locations, ON-DEMAND of the applicants as according to the availability of other candidates from the exact location.
We are determined to provide you with trainers who are certified and highly qualified with decades of experience in the industry and well versed in the subject matter.
Our Flexi-Pass for Python training will allow you to attend sessions from Datamites for a period of 3 months related to any query or revision you wish to clear.
We will issue you an IABAC® certification that provides global recognition of relevant skills.
Of course, after your course is completed, we will issue you a Course Completion Certificate.
Yes. Photo ID proofs like a National ID card, Driving license etc. are needed for issuing the participation certificate and booking the certification exam as required.
You don't need to worry about it. Just get in touch with your instructors regarding the same and schedule a class as per your schedule.
In the case of online training in Python, each session will be recorded and uploaded so that you can easily learn what you missed at your own pace and comfort.
Yes, a free demo class will be provided to you to give you a brief idea of how the training will be done and what will be involved in the training.
Yes, we have a dedicated Placement Assistance Team (PAT) who will provide you with placement facilities after the completion of the course.
We offer flexible learning options from live online, self-learning methods to classroom training. You can choose your favourite one.
Learning Through Case Study Approach
Theory → Hands-on → Case Study → Project → Model Deployment
Yes, of course, it is important that you make the most of your training sessions. You can of course ask for a support session if you need any further clarification.
We accept payment through;
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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