4.8 (20,004) reviews COP 1,542,860
COP 1,252,580*
*Offer valid till 24th November 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's allure lies in its adaptability and elegance, making it a preferred choice among programmers for a plethora of tasks.
The installation process for Python involves visiting the official Python website, fetching the installer, and proceeding through the installation wizard as prompted.
The favoritism between Python and Java fluctuates depending on the scenario. While Python charms with its simplicity and versatility, Java garners appreciation for its robustness and scalability, particularly within enterprise environments.
Python 2 has reached the end of its development and support lifecycle, whereas Python 3 continues to evolve with ongoing maintenance, introducing syntax enhancements and supplementary features.
Beginners can effectively acquaint themselves with Python through diverse channels, including online tutorials, interactive coding platforms, literature, and participation in coding communities.
Python proves indispensable in the realm of data science through libraries like Pandas, NumPy, and scikit-learn, streamlining tasks such as data manipulation, analysis, and machine learning.
Python frameworks furnish pre-built code and libraries tailored to expedite development tasks within specific domains, be it web development (e.g., Django, Flask) or GUI applications (e.g., Tkinter).
Apt debugging of Python code can be accomplished through methodologies such as employing print statements, utilizing debugging tools like PDB or IDE debuggers, and meticulously scrutinizing error messages.
Python boasts greater versatility, catering to a broader spectrum of applications, whereas R specializes in statistical analysis with extensive packages finely tuned for such purposes.
The demand for Python developers in Bogotá has been on a steady ascent owing to Python's prevalence in web development, data science, and automation sectors.
Employers seek Python developers proficient in core concepts, adept at problem-solving, experienced with frameworks/libraries, and capable of crafting efficient, maintainable code.
While Python certifications can validate expertise, practical experience and tangible projects often carry more weight in the eyes of employers.
Crafting a compelling resume entails spotlighting relevant Python projects, showcasing problem-solving prowess, and accentuating specific technical competencies and accomplishments.
Preparing for Python developer interviews involves revisiting algorithms, honing coding skills with challenges, and evincing a robust grasp of Python concepts and best practices.
While a formal degree may sometimes be requisite, practical skills and hands-on experience often carry more weight in the domain of Python development.
The primary responsibilities of a Python developer encompass application development, algorithm implementation, issue troubleshooting, and collaboration within a team milieu.
Transitioning into a Python developer role entails acquiring pertinent skills through online courses, bootcamps, or self-directed study, building a robust project portfolio, and networking within the industry.
Python finds extensive utility in data science endeavours encompassing data manipulation, analysis, visualization, machine learning, and statistical modeling.
Python is harnessed in artificial intelligence pursuits ranging from natural language processing and computer vision to crafting machine learning algorithms and constructing neural networks.
Major corporations such as Google, Facebook, Amazon, and Netflix lean heavily on Python across their operations, employing it for diverse purposes spanning web development, data analysis, automation, and machine learning initiatives.
The salary of a Python developer in Bogotá ranges from COP 9,707,795 per year according to a Glassdoor report.
DataMites in Bogotá serves as a guiding light for Python enthusiasts, providing tailor-made learning paths, experienced mentors, and adaptable teaching methodologies. Whether venturing into Python for the first time or refining existing skills, DataMites offers hands-on projects and dedicated career guidance to propel individuals forward on their Python journey.
Python training at DataMites in Bogotá stands out for its immersive learning approach, customized to master this versatile programming language. With a focus on practical applications, participants acquire essential skills necessary to excel in the ever-evolving tech industry.
The Python Developer Course in Bogotá spans four months, consisting of 20 hours of live online sessions and 400 hours of self-paced study.
Python Developer Training with DataMites in Bogotá welcomes individuals from diverse educational backgrounds, including graduates, postgraduates, and high school alumni. The program caters to beginners, laying a strong foundation in Python fundamentals.
DataMites introduces Flexi-Pass for Python training in Bogotá, granting participants a three-month window to access training sessions. This flexibility allows for revisiting materials, attending additional sessions, and addressing queries to meet individual learning goals.
The DataMites Certified Python Developer Course in Bogotá offers comprehensive training, covering basic to advanced Python concepts, equipping learners with proficient skills.
The Python for Data Science Course in Bogotá caters to individuals with varying programming backgrounds, addressing essential topics such as data manipulation, machine learning algorithms, and programming techniques crucial for data analysis.
The Data Mining with Python Course in Bogotá focuses on extracting insights from extensive datasets to drive predictive analytics, an integral part 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 theoretical foundations and practical applications across domains like computer vision and natural language processing.
DataMites offers Python training fees in Bogotá ranging from COP 624,093 to COP 1,701,428.
Yes, DataMites provides Python courses in Bogotá that include internship opportunities, enabling participants to gain practical experience and apply Python skills in professional settings, thereby improving their employability.
Yes, upon completing Python classes in Bogotá with DataMites, participants are awarded the prestigious IABAC® certification, recognized globally for validating proficiency in Python programming.
Participants attending Python training in Bogotá with DataMites need to present valid photo identification, such as a National ID card or driver's license.
Yes, DataMites offers project opportunities as part of Python training in Bogotá, including 10 capstone projects and 1 client project, enabling participants to apply Python skills in real-world scenarios.
In Bogotá, participants missing Python training sessions with DataMites can access recorded sessions and course materials online through the platform. Makeup sessions can also be arranged to ensure continuous learning progress.
Python developer training by DataMites in Bogotá encompasses tools such as Anaconda, Python, PyCharm, Flask, NumPy, Pandas, and Google Colab.
Yes, interested individuals in Bogotá can participate in a complimentary demo class offered by DataMites to experience the training firsthand and understand its structure.
Career mentoring sessions with DataMites in Bogotá, facilitated by the Placement Assistance Team (PAT), guide participants on Data Science career prospects, addressing challenges and offering strategies for corporate success.
Yes, DataMites in Bogotá offers help sessions to enhance understanding of specific Python topics, ensuring participants grasp concepts effectively.
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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