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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
It is absolutely no surprise that Python ranked No: #1 programming language in year 2017 and straight past 5 years. The recent surge in popularity can be attributed to its Data Science friendliness. Python along with its Machine Learning packages is already established as the popular platform for Data Science.
This course "Certified Python Developer", is designed for candidates with or without programming skills. Candidates to not only understand Python core concepts but also gain practical mastery over Certified Python Developer, which is very much in demand in Today's job market.
The objective of this course is to provide the fundamentals of Python programming and introduce Data Science concepts and Machine Learning.
This course is at beginner level, so is suitable for any one who want to learn Python
Python is the most popular programming language on Today. A quick search in indeed.com reveals about 50,000 open job opportunities in the USA alone as a day average in the year 2017 for Python professionals. This trend is only going to increase exponentially in the year 2018 to 2020, aligning to 3 million Data Science job opportunities by 2020 as estimated by IBM Inc.
This course is designed to imbibe the best practice programming skills in Certified Python Developer with real-world Python application development and Machine Learning case studies. Candidates pursuing this course will be aligned with the current market job requirements.
Any professional aspiring to become Python developer
In recent years, Python gained popularity as the preferred language for Machine Learning and Deep Learning. This course provides the advantage of cutting the complexity of Python Language and focuses on learning Certified Python Developer in the most efficient and effective manner to become a Python developer.
At DataMites™, we truly believe and very excited about this big wave of Data Science and Python being the platform powering this wave. There are millions of jobs and business opportunities across the globe as of today and this is only going to increase exponentially in coming years.
DataMites is founded by a group of passionate Data Science evangelists with decades of experience in Analytics, big data and Data Science working with fortune 100 companies, across the globe. The mission of DataMites™ is enable data science professionals with strong data science skills aligned market requirements and be a part of this phenominal Data Science era.
Python programming is a widely used language for developing websites, applications, and managing operations and data analysis.
Python is a versatile general-purpose language used to develop a wide range of applications without being specialized for any specific problem.
Python was created in 1991 by Guido van Rossum and developed by the Python Software Foundation. It was designed with a focus on code readability and expressing concepts in fewer lines of code.
The name Python was inspired by the published scripts of the 1970s BBC comedy series called "Monty Python's Flying Circus." Guido van Rossum chose this name for its conciseness, distinctiveness, and intriguing appeal.
Python and C++ have their strengths. Python excels in ease of use and syntax, making it more user-friendly, while C++ outperforms Python in terms of performance, speed, and its ability to handle a wider range of applications.
Python is an interpreted language, meaning it is executed line by line, while Java is a compiled language, where the code is translated into machine language before execution. Java tends to have faster runtime performance and simpler troubleshooting, while Python offers greater ease of use and readability.
Yes, Python is written in C. Many modern high-level language compilers and interpreters, including Python's popular CPython implementation, are written in C.
Python's popularity is driven by its high productivity compared to other languages, such as C++ and Java. It offers a faster and more convenient programming syntax, code readability, and English-like commands.
Python is easy to understand, learn, and write. It increases productivity, is a dynamically typed interpreted language, open-source and free, and has extensive library support. However, it may be slower in terms of speed.
Python is generally considered one of the easiest programming languages to learn, although mastering it requires practice and patience.
Python is used by professionals in various roles, including web developers, Python developers, software engineers, data analysts, data scientists, and machine learning engineers.
Python courses are suitable for anyone, including beginners with no prior experience. Python can be learned and mastered without technical or programming knowledge.
Python course fees vary depending on the level of training. Classroom training fees for Python range from $200 to $1000.
Skills such as data analysis, statistical knowledge, data storytelling, communication, and problem-solving are beneficial for learning Python for data science.
A Python developer is a professional who specializes in using the Python programming language to develop software applications and solutions.
The responsibilities of a Python developer include designing, coding, and testing Python-based applications, collaborating with cross-functional teams, troubleshooting and debugging issues, and ensuring the performance and scalability of software systems.
According to Glassdoor.com:
Python certification holds value in terms of better job opportunities, enhanced knowledge, increased competitiveness, and potential for higher pay. It serves as a motivator for self-improvement and career growth.
DataMites™ provide flexible learning options from traditional classroom training, lastest virtual live classroom to distance course. Based on your location preference, you may have one or more learning options
This course is perfectly aligned to the current industry requirements and gives exposure to all latest techniques and tools. The course curriculum is designed by specialists in this field and monitored improved by industry practitioners on continual basis.
The DataMites Certified Python Developer course provides comprehensive training in Python, starting from the basics and progressing to advanced topics. The course aims to equip learners with high-level Python skills.
The results of the Exam are immediate, if you take online test at exam.iabac.org portal. The certificate issuance, as per IABAC™ terms, takes about 7-10 bussiness days for e-certificate.
No, the exam fees are already included in the course fee and you will not be charged extra.
Course fee needs to be paid in one payment as it is required to block your seat for the entire course as well as book the certification exams with IABAC™. In case, if you have any specific constrains, your relation manager at DataMites™ shall assist you with part payment agreements
DataMites™ has a dedicated Placement Assistance Team(PAT), who work with candidates on individual basis in assisting for right Data Science job.
You get 100% refund training fee if you the training is not to your satisfaction but the exam fee will not be refunded as we pay to accreditation bodies. If the refund is due to your availability concerns, you may need to talk to the relationship manager and will be sorted out on case to case basis
DataMites™ provides loads of study materials, cheat sheets, data sets, videos so that you can learn and practice extensively. Along with study materials, you will get materials on job interviews, new letters with latest information on Data Science as well as job updates.
All certificates can be validated with your unique certification number at IABAC.org portal. You also get candidate login at exam.iabac.org , where can find your test results and other relevant validation details.
Python training at DataMites is open to students from all disciplines, including graduates, postgraduates, and 12th graders. The program is designed to teach the principles of the language to beginners.
Learning Python offers numerous benefits, including its wide application in cutting-edge fields like machine learning and artificial intelligence. Python is known for its simplicity, ease of learning, and versatility across platforms and purposes, making it highly in demand in the job market.
The Certified Python Developer Course at DataMites is open to individuals from various backgrounds, including graduates, postgraduates, and professionals seeking to enhance their Python programming skills.
The objectives of the Certified Python Developer Course at DataMites are to provide comprehensive training in Python programming, starting from the basics and progressing to advanced concepts. The course aims to equip participants with the necessary skills and knowledge to become proficient Python developers.
The duration of the Certified Python Developer Course at DataMites is 4 months. The training sessions are conducted on weekdays and weekends to accommodate different schedules.
The Python training fee at DataMites varies depending on the course and mode of training selected:
Live Virtual:
Blended:
Classroom:
Yes, DataMites offers classroom training, but it is currently available only in Bangalore, India. However, they may consider hosting classes in other locations based on demand and the availability of candidates.
Flexi-Pass at DataMites allows you to attend training sessions related to Python for a period of 3 months, providing flexibility for queries and revision.
Yes, DataMites provides an IABAC® certification, which is globally recognized and validates your skills in Python.
Yes, DataMites offers a free demo class to give you an overview of the training and its content.
Yes, DataMites has a dedicated Placement Assistance Team (PAT) that helps with placement facilities after completing the course. The team assists in job connections, resume creation, mock interviews, and interview preparation.
DataMites accepts payments through various methods, including cash, net banking, check, debit card, credit card, PayPal, Visa, Mastercard, and American Express.
To learn Python programming, you can enroll in a python course at DataMites. They provide comprehensive training to help you build a strong foundation in Python for your career advancement.
Yes, Python is considered a must-have language for data science, with 66% of data scientists using it daily. Proficiency in Python or any other programming language is essential for successful data science work.
The duration of the Python training at DataMites varies depending on the specialization chosen, typically lasting 2 to 6 months. Training sessions are conducted on weekdays and weekends to accommodate different schedules.
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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