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Python Certification Course

Master Python programming and data analysis. Develop scripts for data collection, cleansing, analysis, and visualization. Excel as a Python Certification specialist through this sought-after course, mastering Python programming using SciPy, Matplotlib, Pandas, Scikit-Learn, NumPy, and web scraping tools. Learn Python coding for Big Data platforms such as Hadoop and Spark in this online Python class. Acquire hands-on skills and become a Certified Python Professional with real-world experience.

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Python Certification Course Overview

In this Python course, you’ll gain proficiency in programming using sequences, files, conditionals, functions, loops, object-oriented programming, modules, and exception handling. You’ll also explore SciPy, Matplotlib, Pandas, Scikit-Learn, NumPy, and web scraping libraries

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Python Certification Course & Package Pricing

Training Fee
Fee : $ 3000
Package Fee
Fee : $ 4850

Python Certification Course Curriculum

  • Introduction to Python
  • How Python Code is Executed
  • Numbers
  • Strings
  • Lists
  • Tuples
  • Dictionary
  • Escape Sequences
  • Working with Numbers
  • Type Conversion
  • Practice and exercise
  •  
  • Ternary Operator
  • For Loops and nested Loops
  • While Loops
  • Break statement
  • Continue and Pass Statement
  • Iterator and Generator
  • Practice and exercise
  • Defining Functions
  • Arguments
  • Types of Functions
  • Default Arguments
  • xargs and xxargs
  • Scope
  • Practice and exercise
  • Lists
  • Tuples
  • Sets
  • Dictionaries
  • Lambda Functions and Map Function
  • List Comprehensions
  • Zip Function
  • Swapping Variables
  • Strings
  • Arrays
  • Stacks
  • Queues
  • Practice and exercise
  • Exceptions
  • Handling Different Exceptions
  • Raising Exceptions
  • Practice and exercise
  • OOPS Terminology
  • Creating Classes
  • Instance Objects
  • Class Attributes
  • Accessing Attributes
  • Destroying Objects
  • Inheritance
  • Overriding
  • Overloading
  • Opening and Closing Files
  • The file Object Attributes
  • Reading and Writing Files
  • File Positions
  • Renaming and Deleting Files
  • File methods
  • Practice and exercise
  • Python pip
  • __name__ and __main__
  • Working With Paths and Directories
  • Working with Files
  • Working with Zip Files
  • Working with CSV Files
  • Working with JSON Files
  • Working with a SQLite Database
  • Working with Timestamps and DateTimes
  • Generating Random Values
  • Start16- Command-line Arguments
  • Start17- Running External Programs
  • Flask Tutorial
  • First Flask Application
  • Flask App and routing
  • Flask URL
  • Flask HTTP Methods
  • Flask Session
  • Flask SQLite and SQLAlchemy
  • Flask WTF
  • Flask vs Django
  • Flask single page app project
  • Introduction
  • Django Project
  • Views
  • Models
  • Database APIs with sqlite db
  • Templates
  • Web authentication- a mini project
  •  
  • Prerequisite- Jupyter, Numpy, Pandas
  • Prerequisite- Statistics, Probability, Linear Algebra, Scikit-Learn
  • Introduction, where and Why ML is used
  • Types of Learning
  • Supervised Learning – Linear Regression & Gradient Descent
  • Unsupervised Learning – Clustering and K-Means
  • Evaluation metrics
  • Classification- a mini project

Skills to Master

What Roles You Can Apply For?

Python Programming Developer

Python developers design, build, test, deploy, and debug applications, collaborating with teams to create user-friendly websites and apps.

Full Stack Developer

Full-stack developers master frontend and backend development, requiring proficiency in multiple languages, frameworks, and user experience design.

Machine Learning Engineer

Machine learning engineers, highly sought-after Python developers, prefer Python for its clear and readable code in AI and ML projects.

DevOps developer

Python is the preferred language for backend development, aiding DevOps developers in automating the digital pipeline and enhancing productivity.

Product Manager

Python-savvy product managers research user features, identify market weaknesses, and advocate for new product development, leveraging data extensively in their work.

Data scientist

Data scientists organize and analyze vast datasets for organizations, performing tasks ranging from data warehousing to developing data analysis tools.

Python Certification Course Learnings

Expertise in Python programming.

An impressive portfolio of Python data analysis projects!

Practice with hands-on labs to polish your Python skills.

Programming and game creation capabilities in Python Course.

Course Completion Certificate for showcasing your Python Skills.

Enroll in the course or feel free to reach out to us for any assistance. 

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Certification FAQs

An introduction to Python and its installation, OOP, expressions, data types, looping, etc. Programming ML algorithms in Python using functions, operations, and classes. Skills for passing Python Certification professional.

  • Python stands out as the leading language for emerging technologies like Data Science and Machine Learning. According to PayScale.com, Senior Python Developers with Python Certification earn an average salary of $109,280. Adrian Rosebrock, the author of ‘Deep Learning for Computer Vision with Python,’ emphasizes Python’s growing significance in AI and Machine Learning development.
  • Python Basic Constructs
  • Exception Handling
  • Matplotlib
  • OOPS in Python
  • Multi-threading
  • Python for Apache Spark
  • Pandas NumPy & SciPy
  • Web Scraping
  • Packages & Functions
  • Database Connections
  • Data Analyst
  • Python Developer
  • Python Engineer
  • Python Programmer

The following professionals might find this Python Class a good fit: Programmers, Developers, Technical Leads, Architects, Freshers Data Scientists, Data Analysts Statisticians and Analysts Business Analysts Project Managers Business Intelligence Managers.

Python Certification Course

Enroll in the course or feel free to reach out to us for any inquiries or assistance.