4.8 (20,006) reviews BTN 36,000
BTN 23,471*
*Offer valid till 22nd September 2024
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 sets itself apart with its adaptability and straightforwardness, making it a preferred choice among developers for diverse tasks.
Installing Python involves visiting the official Python website, downloading the installer, and following the step-by-step installation instructions provided.
Preference between Python and Java varies based on context. While Python is prized for its simplicity and versatility, Java often receives favor for its performance and scalability, particularly in enterprise environments.
Python 2 has halted development and support, whereas Python 3 continues to receive active maintenance, offering syntax enhancements and additional functionalities.
Beginners can effectively grasp Python through various avenues, including online tutorials, interactive coding platforms, educational books, and participation in coding communities.
Python proves invaluable in data science pursuits through libraries like Pandas, NumPy, and scikit-learn, simplifying tasks such as data manipulation, analysis, and machine learning.
Python frameworks provide pre-written code and libraries to expedite development tasks within specific domains, such as web development (e.g., Django, Flask) or GUI applications (e.g., Tkinter).
Effective debugging of Python code can be achieved through methods such as employing print statements, utilizing debugging tools like PDB or IDE debuggers, and meticulously analyzing error messages.
Python boasts more versatility, catering to a broader range of applications, while R specializes in statistical analysis with comprehensive packages tailored specifically for that purpose.
The demand for Python developers in Bhutan has been steadily increasing due to Python's prevalence in web development, data science, and automation sectors.
Employers typically seek Python developers proficient in core Python concepts, skilled in problem-solving, experienced with relevant frameworks/libraries, and capable of producing efficient, maintainable code.
While Python certifications can validate skills, practical experience and project portfolios often carry more weight in the eyes of employers.
Crafting a compelling resume involves highlighting relevant Python projects, showcasing problem-solving abilities, and emphasizing specific technical skills and achievements.
Preparing for Python developer interviews entails reviewing algorithms, practicing coding challenges, and demonstrating a solid understanding of Python concepts and best practices.
While a formal degree may sometimes be required, practical skills and hands-on experience often outweigh academic qualifications in the field of Python development.
The primary responsibilities of a Python developer include developing applications, implementing algorithms, troubleshooting issues, and collaborating within a team environment.
Transitioning into a Python developer role involves acquiring relevant skills through online courses, bootcamps, or self-study, building a project portfolio, and networking within the industry.
Python finds extensive application in data science for tasks such as data manipulation, analysis, visualization, machine learning, and statistical modeling.
Python is employed in artificial intelligence for tasks such as natural language processing, computer vision, developing machine learning algorithms, and constructing neural networks.
Major corporations like Google, Facebook, Amazon, and Netflix heavily rely on Python across their operations, utilizing it for web development, data analysis, automation, and machine learning initiatives.
DataMites serves as a guiding light for Python enthusiasts in Bhutan, offering bespoke learning paths, seasoned mentors, and adaptable teaching methodologies. Whether embarking on their Python voyage or refining skills, DataMites provides immersive projects and personalized career guidance to propel individuals forward.
Python training with DataMites in Bhutan stands out for its immersive methodology, finely tuned to master this dynamic programming language. With a strong focus on practical learning, participants gain essential skills crucial for success in the ever-evolving tech industry.
The Python Developer Course in Bhutan spans four months, comprising 20 hours of live online sessions coupled with 400 hours of self-paced study.
Python Developer Training with DataMites in Bhutan welcomes individuals from diverse educational backgrounds, including graduates, postgraduates, and high school alumni. The program caters to beginners, providing a solid grounding in Python fundamentals.
DataMites introduces Flexi-Pass for Python training in Bhutan, granting participants a three-month window to access training sessions. This flexibility enables revisiting materials, attending additional sessions, and addressing queries to meet individual learning goals.
The DataMites Certified Python Developer Course in Bhutan offers comprehensive training, covering basic to advanced Python concepts, equipping learners with proficient skills.
The Python for Data Science Course in Bhutan caters to individuals with diverse programming backgrounds, covering critical topics such as data manipulation, machine learning algorithms, and essential programming techniques for data analysis.
The Data Mining with Python Course in Bhutan focuses on extracting insights from extensive datasets to drive predictive analytics, a crucial aspect of Data Science requiring diverse skills for effective data analysis.
The Python for Machine Learning Course introduces participants to various machine learning algorithms and their practical implementation using Python, particularly leveraging the Scikit-Learn package.
The Deep Learning with Python Course delves into deep learning principles using Python and the Keras library, exploring both theoretical foundations and practical applications across domains like computer vision and natural language processing.
DataMites provides Python training fees in Bhutan ranging from BTN 13,196 to BTN 35,977.
Certainly, DataMites includes internship opportunities within its Python courses in Bhutan, allowing participants to apply their skills in real-world settings, thereby enhancing their employability.
Upon successful completion of Python classes in Bhutan, participants are awarded the esteemed IABAC® certification, globally recognized for validating proficiency in Python programming.
Participants are required to present valid photo identification, such as a National ID card or driver's license, for Python training sessions in Bhutan.
DataMites offers project opportunities as an integral part of Python training in Bhutan, including 10 capstone projects and 1 client project, allowing participants to apply Python skills in practical scenarios.
For participants unable to attend Python training sessions in Bhutan, recorded sessions and course materials are accessible online via DataMites' platform. Additionally, makeup sessions can be arranged to ensure continuous learning progress.
Python developer training by DataMites in Bhutan encompasses a range of tools including Anaconda, Python, PyCharm, Flask, NumPy, Pandas, and Google Colab.
Certainly, individuals interested in DataMites' Python training in Bhutan can attend a complimentary demo class to experience the teaching methodology firsthand and grasp the course structure.
Career mentoring sessions, conducted by the DataMites Placement Assistance Team (PAT), provide invaluable guidance on Data Science career prospects, addressing challenges, and offering strategies for success in the corporate world.
Yes, DataMites offers help sessions to reinforce understanding of specific Python topics in Bhutan, ensuring participants have a solid grasp of the concepts taught.
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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