A tanfolyamról
Python Certification is designed to assist you in mastering the concepts of Python and its libraries like SciPy, Matplotlib, Scikit-Learn, Pandas, NumPy, Lambda functions, and Web Scraping. Learn how to write Python Programming for Big Data systems such as Spark and Hadoop. This is one of the best Python programming certifications available.
Learn Python from scratch and work on real-world projects and case studies to get extensive hands-on experience. The topics covered in the course will give you the most advanced knowledge and skills. You can become an expert in Python by grabbing the opportunity to learn hands-on coding with guidance and reviews from our mentors. You will be learning from the best in the field as all our trainers and mentors are experienced professionals.
Who Can Attend?
- Web developers
- Programmers
- Engineers
- Big Data Scientists
- Anyone wishing to strengthen their Python knowledge
What You Will Learn
-
Install Python
Get started on your Python journey by learning to install Anaconda - Python distribution. -
Master Python fundamentals
Create your first Python program by learning basic syntax, variables, types and so on. -
Data Structures
Learn about data structures that Python can handle. Create, manipulate Python lists, tuples, etc. -
Conditional Statements
Write complex decision-making code by mastering control structures like if, for, while, break and more. -
Modules
Learn to write and import your own Python modules and use them in other directories. -
Regular Expressions
Learn about Regular Expressions, their uses in matching patterns and parsing files and text for information. -
Object Oriented Programming
Learn to write user-defined functions and object-oriented way of writing classes and objects. -
Master Python best practices
Take Python programming skills to the next level with functions, import packages and improved code readability.
Skills You Will Gain
- Understand interpreters and Python Script
- Install Anaconda and Python distribution
- Implement string operations
- Understand and implement Python Data Structures
- Implement loop and control structures in R
- Create your own custom functions without or with arguments
- Create modules as well as execute them
- Use Regular Expression and match pattern, parse data and so on
- Construct a class and define objects
This Python Programming course will train you in:
- How to use Python and its environment
- How to use Python functions to manipulate data
- How to use Python modules, regular expressions and object-oriented concepts
By the end of Python programming certificate online course, you would have gained knowledge on the use of Python programming language to build applications.
We provide the course in English.
Tematika
Curriculum
Module 1 - Introduction to Python
Learning Objective:
Learn about the history of Python and its various uses. Learn to use interpreters and learn about how Python scripts work on UNIX/Windows.
Topics
- Python What and Why
- Python - Domains and Platforms
- Installation and setup
- Hello World
Module 2 - Code & Data
Learning Objective:
Learn how to install Python distribution - Anaconda. Learn basic data types, strings & regular expressions.
Topics
- What is Code and Data
- Creating Data
- Using Data with Code
- Syntax and Naming Conventions
Module 3 - Building Blocks
Learning Objective:
In this module, you will learn to convert messy text into something useful.
Topics
- Data Types
- Arithmetic Operators
- Lists Basics
- Important Functions and Features
Module 4 - Strings
Learning Objective:
Learn the various data structures that are used in Python.
Topics
- Creating and Indexing
- Negative Indexing, Slicing and Stepping
- Immutability Concept
- Important String Functions
Module 5 - Data Structures
Learning Objective:
Learn all about loops and control statements in Python.
Topics
- Data Structures
- Lists
- List Functions Part 1
- List Functions Part 2
- Tuples
Module 6 - Flow Control
Learning Objective:
Write user-defined functions in Python. Learn about Lambda function. Learn the object oriented way of writing classes & objects.
Topics
- Conditional Statements
- if elif else
- other operators
- While statement
- for with sequences
Module 7 - Functions
Learning Objective:
Learn to build modules and install packages.
Topics
- User Defined Functions
- Passing Parameters
- Return Values
Module 8 - Modules
Learning Objective:
Learn about Regular Expression Objects, subexpressions, tips and tricks to implement while you code.
Topics
- Introduction
- Installing Modules
- Fetching Modules
- Important Modules and Packages
Module 9 - Files
Learning Objective:
Gain knowledge on OOPs to code easily and efficiently. Learn to construct classes and define objects."
Topics
- What are Files
- Opening and Reading Text Files
- Different Modes of Opening Files
- Reading & Writing into Text Files
Module 10 - numpy
Learning Objective:
Study Use Cases to explore Python
Topics
- What is NumPy?
- Creating & using NumPy Arrays
- NumPy Array Attributes
- Array Indexing and Slicing
- Array Operations - Part 1
- Array Operations - Part 2
- Different Ways of Creating Arrays
- Random Number Generation
Module 11 - pandas
Topics
- Introduction to Pandas
- Reading various file formats
- Creating Pandas Series and DataFrames
- Series Operations
- DataFrame Operations part 1
- DataFrame Operations part 2
Module 12 - Regular Expression
Topics
- Introduction to RegEx
- Meta characters (part 1)
- Meta characters (part 2)
- Special sequences (part 1)
- Special sequences (part 2)
Module 13 - Visualization
Topics:
- Introduction to Visualization
- Basic plots
- Sub plots
- Bar, Pie, Histogram and Scatter
- Plots using Pandas
Module 14 - Object-Oriented Programming
Topics
- The concept of class and an object
- Python class, methods, members, objects
- Concept of __init__
- Updating values using methods
- Encapsulation
- Inheritance
Module 15 - Other File Formats
Topics
- Various types of files
- Recap of CSV files with pandas
- SAS Files
- STATA Files
- HDF5 Files
- JSON Files
- YAML Files
Module 16 - Database Integration
Topics
- Various databases
- Connection and Cursor Objects
- Reading Data
- Creating Databases and Tables
- Insert Data
- Update & Delete Data
- Other Databases
Kinek ajánljuk
Előfeltételek
Prerequisites
There are no prerequisites to attend the course
- Knowledge of basic programming concepts is recommended
- Knowledge of object-oriented concepts will be an advantage