4.8 (23,000) reviews QR 2,040
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*Offer valid till 22nd September 2024
Instructor Led Live Online
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 recognized as a versatile, high-level programming language known for its simplicity and readability. It enables swift development and is extensively utilized across various domains, encompassing web development, data analysis, artificial intelligence, and automation.
Choosing between Python and Java hinges on project requisites and personal inclinations. Python shines for its simplicity and rapid development, while Java offers robustness and performance. Both boast thriving ecosystems and cater to diverse use cases.
Focus on mastering core language concepts, data structures, and algorithms. Additionally, practice solving coding problems, engage in real-world projects to showcase skills, and acquaint oneself with prevalent Python libraries and frameworks.
Python serves various functions within the gaming industry, including scripting, tool development for game creation, and backend server implementation. Though not the primary language for game engines, its ease of use and extensive libraries make it invaluable for certain gaming tasks.
Common Python portfolio projects encompass web applications utilizing frameworks like Django or Flask, data analysis and visualization projects employing libraries such as Pandas and Matplotlib, automation scripts, and compact applications demonstrating Python's capabilities.
Python's features encompass simplicity, readability, dynamic typing, automatic memory management, an extensive standard library, support for diverse programming paradigms, and platform independence, rendering it apt for diverse applications.
Key responsibilities of a Python developer encompass crafting clean, maintainable code, architecting software solutions, troubleshooting and debugging, collaborating with team members, and staying abreast of industry trends and best practices in Python development.
Kickstarting a Python career in Doha involves mastering language fundamentals through online resources or courses. Cement practical skills with project work, contribute to open-source initiatives, network with professionals, and consider relevant certifications.
Job prospects for Python developers in Doha are promising, with plentiful opportunities in software development, data science, web development, and emerging technologies. The escalating adoption of Python across sectors fuels the demand for skilled professionals.
To attain certification as a python developer, prepare for exams offered by reputable entities like DataMites. Thoroughly study relevant materials, practice coding exercises, and accumulate hands-on experience to bolster readiness for certification assessments.
Python confers several advantages in e-commerce, including swift development cycles, scalability, and a vast library and framework ecosystem for robust web applications. Its adaptability streamlines integration with extant systems, facilitating efficient e-commerce solutions development.
Transitioning to a Python developer role entails mastering language fundamentals and progressively honing expertise through hands-on projects and continuous learning. Network within the field, leverage online resources, and contemplate specialized courses or bootcamps for expedited transition.
Employers seek Python developers adept in the language, proficient in web frameworks like Django or Flask, experienced with databases, adept problem solvers, and effective communicators. Familiarity with software development methodologies and tools is highly prized.
Python finds utility in social media for tasks like data analysis, content recommendation algorithms, task automation, chatbot development, and backend operations for social media platforms and applications.
Python developers in Doha are lucratively compensated, with an average salary of QAR 21,010 per month, as reported by Glassdoor.
Top companies seeking Python developers include tech giants like Google, Facebook, Amazon, Microsoft, alongside startups, consultancies, and entities across sectors like finance, healthcare, and e-commerce.
Though a bachelor's degree in computer science or related fields is favored, practical skills, certifications, and relevant Python experience are equally crucial for securing roles. Continuous learning and staying updated are vital for career advancement.
Python finds extensive use in machine learning for tasks like data preprocessing, model development, training, evaluation, and deployment. Robust libraries like TensorFlow, PyTorch, and scikit-learn furnish powerful tools for efficient implementation of diverse machine learning algorithms.
Python's versatility and simplicity make it a staple in education, serving as a beginner-friendly programming language. Widely integrated into curricula, it facilitates teaching fundamental programming concepts, advanced topics like data science and AI, nurturing critical thinking and problem-solving skills in students.
The demand for Python developers in Doha is robust and steadily increasing. With its widespread applicability across sectors like IT, finance, healthcare, and e-commerce, Python proficiency is highly coveted by employers in the region.
DataMites' Python for Data Science Course in Doha covers Python for data manipulation, analysis, and machine learning, providing practical skills for real-world data scenarios.
To acquire Python programming skills in Doha, consider enrolling in DataMites' Python courses. With tailored programs and expert instructors, DataMites offers comprehensive training suitable for beginners and professionals.
The Python Developer Course in Doha spans four months, totaling 400 learning hours, allowing for in-depth exploration of Python programming concepts.
Opting for DataMites in Doha provides several benefits, including globally recognized certifications, elite faculty, updated curriculum, and hands-on learning experiences.
The Flexi-Pass feature allows participants in Doha to attend classes at their convenience, choosing between weekday or weekend batches for flexible learning.
DataMites' Data Mining with Python Training in Doha teaches data mining techniques using Python, focusing on extracting insights from large datasets and interpreting outcomes effectively.
DataMites' Python for Machine Learning Course in Doha introduces various ML algorithms and their practical implementations using Python, particularly with the Scikit-Learn package.
DataMites' Python for Deep Learning Course in Doha delves into deep learning concepts, enabling participants to build and train deep neural networks using Python and frameworks like TensorFlow and PyTorch.
DataMites' Python Developer Training in Doha welcomes complete beginners aiming to become proficient Python Developers, offering a suitable learning path regardless of prior experience.
Yes, DataMites provides Python courses with internship opportunities in Doha, allowing participants to gain practical experience in AI companies and enhance their employability.
The Python Course Fee in Doha at DataMites ranges from QAR 608 to QAR 1576, ensuring accessibility for participants with different budgets.
Participants in Doha need to bring a valid photo ID, such as a national ID card or driver's license, for obtaining certificates and scheduling exams.
Yes, DataMites offers 10 capstone projects and one client project as part of its Python Training in Doha, providing practical experience to apply Python skills in real-world scenarios.
Participants who miss sessions in Doha can access recorded materials and schedule makeup sessions, ensuring they don't fall behind in their learning.
DataMites' Python developer courses in Doha covers essential tools like Anaconda, Numpy, Pandas, and Flask, among others, for effective development and analysis.
Yes, DataMites offers a demo class in Doha for prospective participants to experience the teaching methodology before committing to the program.
DataMites in Doha accepts various payment methods, including cash, cards, EMI, PayPal, and net banking, providing flexibility for course fees settlement.
DataMites' career mentoring sessions in Doha offer personalized guidance on resume building, interview preparation, and career advancement strategies from industry experts.
No specific prerequisites are required for enrolling in Python Courses in Doha with DataMites catering to individuals of varying experience levels, including beginners.
Yes, participants receive IABAC Certification upon completing Python Classes in Doha with DataMites, validating their proficiency in Python programming.
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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