Certified Python Developer

BY
DataMites

Advance in your career with enhanced knowledge of AI concepts and seek better professional opportunities with programme by DataMites.

Mode

Online

Duration

4 Months

Fees

₹ 17900 36000

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study, Virtual Classroom +1 more
Mode of Delivery Video and Text Based

Course overview

Certified Python Developer Certification by DataMites will teach Python to learners from scratch and will progress with advanced concepts. The intensive classroom and live virtual training along with live project mentoring will help candidates choose the program that fits their schedule. Certified Python Developer certification syllabus is delivered by industry experts that enhance the learning of course participants.

This Python certification course is available in 3 different learning modes- Live Virtual, Classroom, and Blended learning. The classroom training is of 4 months course duration with 60 hours classroom sessions, 200 hours of learning. The blended training session is self-paced learning and provides 1-year access to learning. Depending on the convenience of the students, they can choose a mode that works the best for them.

The highlights

  • Internship 
  • Placement assistance 
  • Cloud Lab access 
  • Certification accreditation by IABAC 
  • Course provided by DataMites
  • Certificate of completion by DataMites

Program offerings

  • Online training
  • Capstone project
  • Live training
  • Lab
  • Classroom session
  • Client project
  • E-learning
  • Instructor-led training
  • Case studies cheat sheet
  • Data set
  • Study material
  • Newsletter.

Course and certificate fees

Fees information
₹ 17,900  ₹36,000

Certified Python Developer fees shall be levied differently for different packages as follows-

  • The fee amount for the Live instructor-led programme amounts to Rs. 36,000.
  • The fee for the blended learning programme is Rs. 22,000.
  • The classroom training programme will cost Rs. 36,000

Certified Python Developer Fees details

Mode of learning Total FeeDiscounted Fee
Live Virtual Rs. 36,000Rs. 17,900
Blended Learning Rs. 22,000
Rs. 13,900
In-Person Classroom Rs. 36,000
Rs. 20,900


certificate availability

Yes

certificate providing authority

IABAC

Who it is for

Certified Python Developer Certification Online Course fits as an ideal learning programme for the following-

  • Candidates with basic or no programming skills seeking a career in data science.
  • Professionals dealing with data science and Python in their organization.
  • Job seekers willing to pursue a career as a Python developer.

Eligibility criteria

Education

Since Certified Python Developer Certification Training is a beginner-level programme, candidates just need to be acquainted with basic programming knowledge before going for this course.

Certification qualifying details

All learners who successfully qualify the IABAC examination will be issued a  certification. It is essential for candidates to complete the programme successfully. 

What you will learn

Knowledge of python

Certified Python Developer certification course will train course participants on the following aspects-

  • Understand Python syntax.
  • Study data types, conditional statements, operators, and functions.
  • Write simple Python scripts for data science.
  • Delve deep into the exploration and application of core packages.
  • Become expert in building applications with Python.

The syllabus

PYTHON FOUNDATION

MODULE 1: PYTHON BASICS
  •  Introduction of python
  •  Installation of Python and IDE
  •  Python objects
  •  Python basic data types
  •  Number & Booleans, strings
  •  Arithmetic Operators
  •  Comparison Operators
  • Assignment Operators
  •  Operator’s precedence and associativity
MODULE 2: PYTHON CONTROL STATEMENTS
  •  IF Conditional statement
  •  IF-ELSE
  •  NESTED IF
  • Python Loops basics
  •  WHILE Statement
  • FOR statements
  •  BREAK and CONTINUE statements
MODULE 3: PYTHON DATA STRUCTURES
  • Basic data structure in python
  •  String object basics and inbuilt methods
  •  List: Object, methods, comprehensions
  • Tuple: Object, methods, comprehensions
  •  Sets: Object, methods, comprehensions
  • Dictionary: Object, methods, comprehensions
MODULE 4: PYTHON FUNCTIONS
  • Functions basics
  •  Function Parameter passing
  •  Iterators
  •  Generator functions
  •  Lambda functions
  • Map, reduce, filter functions
MODULE 5: PYTHON NUMPY PACKAGE
  •  NumPy Introduction
  • Array – Data Structure
  • Core Numpy functions
  • Matrix Operations
MODULE 6: PYTHON PANDAS PACKAGE
  • Pandas functions
  •  Data Frame and Series – Data Structure
  •  Data munging with Pandas
  •  Imputation and outlier analysis

ADVANCED PYTHON

MODULE 1: OBJECT ORIENTED PROGRAMMING (OOP) IN PYTHON
  • 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
MODULE 2: PYTHON FILE MANAGEMENT
  • Working with files
  • Reading and writing files
  •  Buffered read and write
  •  Other file methods
  •  Logging & Debugger
  •  Modules and import statements
MODULE 3: SQL and MongoDB
  • SQL Basics 
  • Creating DB Table
  • INSERT, READ, UPDATE, DELETE
  • Introduction to MongoDB
  • CRUD operations in MongoDB
MODULE 4: COLLECTIONS AND CONTAINER DATATYPES
  • Namedtuple(), deque, ChainMap,
  • Counter, OrderedDict, defaultdict,
  • UserDict, UserList, UserString
MODULE 5: PYTHON EXCEPTION HANDLING
  • Exceptions handling with try-except
  • Custom exception handling
  • List of general use exception
  • Best practice exception handling
MODULE 6: GENERATORS AND ITERATORS
  • Generators, Iterators
  • The Functions any and all
  • With Statement
  • Data Compression
MODULE 7: NETWORK PROGRAMMING
  • A Daytime Server
  • Clients and Servers
  • The Client and Server Programs
MODULE 8: PYTHON THREADS AND MULTITHREADING
  • Classes and Threads
  • Multi-threading; thread life cycle
MODULE 9: REGULAR EXPRESSION
  • Regular Expression Syntax
  • Group, Split and wildcards
  • Quantifiers
  • Match, Search and Find all methods
  • Character Sequence
MODULE 10: IMAGE PROCESSING AND OBJECT DETECTION
  • Introduction to OpenCV, Installation
  • Basic Operations on Images
  • Image Filtering
  • Image Classification
MODULE 11: GIT
  • Introduction to GIT
  • Basic Git commands
MODULE 12: PYTHON PROJECT WITH FLASK
  • Introduction to Flask and Installation
  • Creating project
  • Routing,templates, forms and database integration
  • Deployment on render
MODULE 13: PYTHON PROJECT WITH DJANGO
  • 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
MODULE 14: DJANGO MODELS AND MIGRATIONS
  • Defining Models and Relationships
  • Database Migrations and Schema Changes
  • Querying Data using Django ORM
  • Model Forms and Form Validation
MODULE 15: DJANGO FORMS AND FORMSETS
  • HTML Forms in Django
  • Model Forms and Form Validation
  • Formsets and Inline Formsets
  • File Uploads and Validation
MODULE 16: DEPLOYMENT AND PROJECT SHOWCASE
  • Deploying Django Applications
  • Hosting Options (e.g., Heroku, AWS)
  • Project Showcasing and Review

Admission details

Registrations for the Certified Python Developer programme can be made in the following manner-

Step 1: Go to the course webpage and tap on “Enquire Now.”

Step 2: Fill in your details and allow a course counselor to contact you regarding the further process.

How it helps

Certified Python Developer Certification Benefits learners by focusing its flow on the current job marketing requirements.  Candidates will gain practical expertise in Python for Data Science that is in high demand professionally. With unlimited access to a data science cloud lab, they can keep practicing. This course imbibes the best practice programming skills in this domain with real-world case studies and Python application development paradigm.

FAQs

How is the course duration structured for classroom sessions and live virtual?

Candidates will have to invest eight hours. Classroom training will be for two days and virtual training will be for three days.

When can candidates avail a refund on their fee?

If a candidate is not satisfied with the course after paying the fee, he can request a full refund.

For how long can candidates in the blended programme access the e-learning portal?

Access to the e-learning portal will be given for one year from the date of registration.

Is the examination fee refundable?

The examination fee will not be refunded as the certification body is an external one.

Is the examination fee inclusive of the course fee?

Yes, candidates need not pay the examination fee separately.

What is the deadline for declaration of the result?

Exam results will be released immediately if taken online.

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