Python Programing Certification Course



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Data Science

Course Curriculum

Learning Objective: This module covers all the basic concepts, understanding, and demonstration of Python Programming language.

Topics covered:
* Need for Programming
* Advantages of Programming
* Overview of Python
* Organizations using Python
* Python Applications in Various Domains
* Python Installation
* Variables
* Operands and Expressions
* Conditional Statements
* Loops
* Command Line Arguments

Learning Objective: This section teaches you how to perform operations on files and learn different types of sequence structures, their usage, and execute such sequence operations.

Topics covered:
* How to Accept User Input and eval Functions
* Python - Files Input and Output Functions
* Lists and Related Operations
* Tuples and Related Operations
* Strings and Related Operations
* Sets and Related Operations
* Dictionaries and Related Operations

Learning Objective: Learn about the various types of functions and OOP concepts like abstraction, inheritance, polymorphism, overloading, constructor, and many more.

Topics covered:
* User-Defined Functions
* Concept of Return Statement
* Concept of __name__=” __main__”
* Function Parameters
* Different Types of Arguments
* Global Variables
* Global Keyword
* Variable Scope and Returning Values
* Lambda Functions
* Various Built-In Functions
* Introduction to Object-Oriented Concepts
* Built-In Class Attributes
* Public, Protected and Private Attributes, and Methods
* Class Variable and Instance Variable
* Constructor and Destructor
* Decorator in Python
* Core Object-Oriented Principles
* Inheritance and Its Types
* Method Resolution Order
* Overloading
* Overriding
* Getter and Setter Methods
Working with Modules and Handling Exceptions
Learning Objective: Study how to create Python scripts, address errors and exceptions, and extract content using Regex.

Topics covered:
* Standard Libraries
* Packages and Import Statements
* Reload Function
* Important Modules in Python
* Sys Module
* Os Module
* Math Module
* Date-Time Module
* Random Module
* JSON Module
* Regular Expression
* Exception Handling
Learning Objective: This module makes you familiar with Data Analytics basics and its essential libraries such as NumPy and Pandas.

Topics covered:
* Basics of Data Analysis
* NumPy - Arrays
* Operations on Arrays
* Indexing Slicing and Iterating
* NumPy Array Attributes
* Matrix Product
* NumPy Functions
* Functions
* Array Manipulation
* File Handling Using NumPy

Learning Objective: This module provides deep insights into database analysis and manipulation using Pandas.

Topics covered:
* Introduction to pandas
* Data structures in pandas
* Series
* Data Frames
* Importing and Exporting Files in Python
* Basic Functionalities of a Data Object
* Merging of Data Objects
* Concatenation of Data Objects
* Types of Joins on Data Objects
* Data Cleaning using pandas
* Exploring Datasets

Learning Objective: This section teaches you about different types of charts, and customized visualizations using Matplotlib and Subplots.

Topics covered:
* Why Data Visualization?
* Matplotlib Library
* Line Plots
* Multiline Plots
* Bar Plot
* Histogram
* Pie Chart
* Scatter Plot
* Boxplot
* Saving Charts
* Customizing Visualizations
* Saving Plots
* Grids
* Subplots
Learning Objective: This module helps you create GUI elements and incorporate them into your applications.

Topics covered:
* Ipywidgets Package
* Numeric Widgets
* Boolean Widgets
* Selection Widgets
* String Widgets
* Date Picker
* Color Picker
* Container Widgets
* Creating a GUI Application

Learning Objective: This section teaches you how to use Folium library, Pandas Library, flow chart of web map applications, learn how to develop web maps using Folium and Pandas.

Topics covered:
* Use of Folium Library
* Use of Pandas Library
* Flow Chart of Web Map Application
* Developing Web Map Using Folium and Pandas
* Reading Information from Datasets and Represent It Using Plots
Learning Objective: Learn how to design various Python applications.

Topics covered:
* Beautiful Soup Library
* Requests Library
* Use Beautiful Soup and Requests to scrap All Hyperlinks from a Webpage
* Plotting Charts Using Bokeh
* Plotting Scatterplots Using Bokeh
* Image Editing Using OpenCV
* Face Detection Using OpenCV
* Motion Detection and Capturing Video

Course Description

CertOcean’s Python programming certification course is all about basic and advanced concepts of Python, including writing Python scripts, sequence and file operations, OOP concepts, and web scraping. This Python online course certification covers many essential and widely used Python libraries like Pandas, NumPy, Matplotlib, etc.

Python is a modern language that is highly flexible, premier, and powerful open-source code. It is easy to use, easy to learn, and learn powerful libraries for data manipulation and analysis. Python can also be used in scientific computing programs and other high industrial domains like Finance, Oil and Gas, Physics, and Signal Processing. As of today, Python is the most preferred language for Artificial Intelligence, Robotics, Web Development, and DevOps.
Upon successful completion of Python online course certification, you will be able to:
* Compose Python contents and test code
* Automatically download and examine the information
* Actualize the methods to manage various kinds of information – ordinal, straight out, encoding
* Make information representation
* Use Python scratchpad and expert the specialty of introducing bit by bit information analysis

This Python online course certification is a good fit for professionals who:
* Programmers, Developers, Technical Leads, Architects, Freshers
* Data Scientists, Data Analysts
* Statisticians and Analysts
* Business Analysts
* Project Managers
* Business Intelligence Managers

There are no specific requirements for the Python programming certification. A professional who holds a basic understanding of computer programming terminologies can take up the course.

Python programming certification course projects
You need a system with good internet connectivity.

For all the projects, you can use the lab environment created for the Python programming certification course.


Frequently Asked Questions (FAQs):

Candidates will never miss lectures in CERTOCEAN's Python programming certification course as they have the option to either view the recorded session or to attend the next live batch.

Our team is with each student 24/7. They need not worry about anything. Just ask your queries about the Python programming certification course and we will make sure that it gets solved as soon as possible.
We hope that till now you have seen any of our study clips. And we think that's all because you need not look further as we are good at keeping promises. We promise to enhance your growth in the automation field using Python programming certification.
Only instructors who are expert in the domain and possess more than 10 years of experience are selected to teach after a stringent and tedious process. After shortlisting, all the instructors undergo a 3 months long training program.
Most of the CertOcean’s learners have reported a hike in their salary and position post the completion of the Python online course certification. This training is well-recognized in the IT industry and indulges in both practical and theoretical learning.
We provide support to all the learners even if they have completed their course training way before. Once you have registered with us, we will take care of all your educational needs and demands, resolving all your functional and technical queries.
CertOcean's Python online course certification will assist you throughout the course and help you master the concepts and practical implementation of technology for the course duration.

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