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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 renowned for its adaptability and readability, making it a versatile language of choice across various domains such as web development, data science, and artificial intelligence.
Certifications like the "Certified Python Developer" hold significant prestige among employers in Norway, serving as tangible proof of one's dedication and proficiency in Python.
The salary of a Python developer in Norway ranges from NOK 112,156 per year according to an Indeed report.
Norway employers prioritize Python developers with a strong grasp of core Python concepts, proficiency in popular frameworks like Django or Flask, expertise in database management, and adept problem-solving abilities.
While a degree in computer science or related fields is preferred, practical experience and relevant certifications carry significant weight in Norway's job market for Python roles.
Python developers are in steady demand across sectors like IT, finance, and healthcare in Norway, owing to Python's adaptability in solving complex problems.
Job prospects for Python developers in Norway are promising, particularly in sectors like IT, finance, healthcare, and e-commerce, as Python's popularity continues to grow.
Achieving certification as a Python developer involves enrolling in recognized certification programs offered by institutions or online platforms, which typically include coursework, examinations, and practical demonstrations of Python proficiency.
Transitioning into Python programming requires acquiring fundamental Python skills, gaining hands-on experience through projects or internships, and continuous learning and upskilling through practice and further education.
Starting a Python career in Norway involves mastering Python fundamentals through online resources, books, or tutorials, followed by practical application and project building to enhance one's portfolio.
Beginners can begin their Python learning journey through user-friendly online tutorials, interactive coding platforms, or beginner-oriented books and courses, gradually progressing from foundational concepts to more advanced topics.
Python offers simplicity, readability, versatility, extensive library support, a strong community, and cross-platform compatibility, making it an ideal choice for diverse projects and industries.
Python's integration into artificial intelligence is facilitated by libraries like TensorFlow, Keras, and PyTorch, enabling tasks in machine learning, deep learning, natural language processing, and computer vision.
Python is essential in data science for tasks such as data manipulation, analysis, visualization, statistical modeling, and machine learning, supported by libraries like Pandas, NumPy, and Scikit-Learn.
Python portfolio projects can include web applications, data analysis and visualization projects, machine learning models, automation scripts, gaming projects, and contributions to open-source initiatives.
Python's versatility finds applications across various domains, including web development, data science, artificial intelligence, machine learning, automation, finance, healthcare, and education.
Effective interview preparation involves revisiting core Python concepts, practicing coding problems and algorithms, familiarizing oneself with common interview questions, and showcasing relevant projects or experiences.
Python often stands out over Java due to its simplicity, readability, extensive library support, faster development cycles, and robust community backing, particularly in domains like web development, data science, and artificial intelligence.
Python is utilized in finance for tasks such as algorithmic trading, risk management, quantitative analysis, financial modeling, data analysis, fraud detection, and automation of financial processes, owing to its simplicity and rich library ecosystem.
Python finds applications in healthcare for tasks such as data analysis, medical imaging, predictive modeling for disease diagnosis, drug discovery, and personalized medicine, leveraging its versatility and rich libraries.
The Python Developer Training in Norway by DataMites caters to individuals with varying backgrounds, including complete beginners seeking to venture into Python development. This program warmly welcomes those without any prior programming experience, offering them the essential skills needed to thrive in Python development roles.
To master Python programming in Norway, consider enrolling in DataMites' Python courses. With tailored curriculum and expert guidance, DataMites provides hands-on training suitable for beginners and professionals alike. Through practical learning experiences, you can acquire the necessary skills to excel in Python development roles within the Norway community.
DataMites' Python Developer Course in Norway spans over four months, encompassing a total of 400 learning hours. This extensive duration allows participants to delve deeply into Python programming concepts, engage in thorough practice sessions, and ultimately attain proficiency in various facets of software development using Python.
The Flexi-Pass feature in DataMites' Python training program in Norway offers participants the flexibility to choose between weekday or weekend batches, enabling them to attend classes at their convenience. This flexibility ensures that individuals can effectively manage their learning alongside other commitments, optimizing their educational journey.
Answer: DataMites' Python for Machine Learning Course in Norway provides a comprehensive introduction to Python's application in machine learning. Participants delve into fundamental language concepts and explore their practical implementation in ML. Through a blend of theoretical understanding and hands-on coding exercises using tools like Scikit-Learn, participants develop the skills to create robust ML applications.
The Certified Python Developer Course by DataMites in Norway offers a holistic learning experience covering essential aspects of Python programming. With internship opportunities and live projects with IT companies, participants gain practical exposure to real-world scenarios. The course curriculum is regularly updated to align with industry requirements, ensuring a structured learning journey for all participants.
DataMites' Python for Data Science Course in Norway explores Python's role in data manipulation, analysis, and machine learning. Through hands-on projects, participants acquire practical skills to tackle real-world data challenges. The course emphasizes equipping individuals with the necessary tools and techniques for data-driven decision-making.
DataMites' Data Mining with Python Training in Norway offers comprehensive instruction in data mining techniques using Python. Participants learn to extract valuable insights from large datasets, perform data preprocessing, implement various data mining algorithms, and interpret results effectively for informed decision-making.
DataMites' Python for Deep Learning Course in Norway introduces participants to deep learning concepts using Python. They learn to build and train deep neural networks, apply popular algorithms, and utilize tools like TensorFlow and PyTorch for AI project development. The course equips individuals with the skills needed to excel in deep learning tasks.
DataMites' python developer training in Norway encompasses essential tools such as Anaconda, Google Colab, Numpy, Pandas, Python, PyCharm, and Flask. These tools empower participants to develop, analyze, and deploy Python applications effectively, providing them with a comprehensive skill set for their professional pursuits.
Yes, DataMites indeed provides Python courses in Norway that incorporate internship opportunities. Through these internships, participants gain invaluable hands-on experience in real-world AI environments. This practical exposure not only enhances their proficiency but also boosts their employability within the industry.
Absolutely, upon successful completion of Python classes in Norway with DataMites, participants are awarded IABAC Certification, accredited by the Global Analytics Board. This esteemed certification, based on the EU Government Framework, serves as a testament to their mastery of Python programming and bolsters their credibility within the professional realm.
During Python training sessions in Norway, participants are required to bring along a valid form of photo identification, such as a national ID card or driver's license. This documentation is crucial for obtaining their participation certificate and facilitating any necessary certification examinations.
In the event of a missed Python training session in Norway, participants can access recorded sessions and course materials via DataMites' online learning platform. Additionally, they have the option to seek support from instructors and schedule makeup sessions, ensuring they stay on track with their learning objectives.
The cost of Python training in Norway at DataMites ranges from NOK 1,879 to NOK 4,635, offering flexible pricing options to accommodate participants with varying budgetary constraints. This ensures that high-quality Python training remains accessible to a diverse audience in Norway.
Certainly, DataMites provides prospective participants with the opportunity to attend a demo class before committing to Python Training in Norway. This allows individuals to experience firsthand the teaching methodology, interact with instructors, and evaluate the course content to ensure it aligns with their learning objectives.
DataMites accepts a wide array of payment methods for its Python courses in Norway, including cash, debit card, credit card, check, EMI, PayPal, Visa, Mastercard, American Express, and net banking. This flexibility ensures convenience for participants in settling their course fees according to their preferences.
The career mentoring sessions provided by DataMites as part of Python training in Norway offer personalized guidance from industry experts. These sessions assist participants in various aspects of career development, including resume building, interview preparation, goal setting, and networking strategies, equipping them with the necessary skills for successful career advancement in the field of Python programming.
Opting for Python training with DataMites in Norway brings numerous advantages. As a global institute specializing in data science and artificial intelligence, DataMites offers IABAC® certifications recognized by the Global Analytics Board. With a distinguished faculty from prestigious universities, an updated syllabus aligned with industry standards, and hands-on projects and internships, DataMites ensures a comprehensive learning experience that remains relevant in the competitive landscape of 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.