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Python Programming Certification Course

CertOcean's Python Programming Certification training is a live, instructor-led online course. You learn in 10 live sessions (24 hours in total) with an expert instructor, work through 9 curriculum modules with hands-on assignments and keep lifetime access to the class recordings.

  • 24 hoursLive training
  • 10 sessionsWith an instructor
  • 9 modules91 topics
  • Mon, Oct 26Next batch
PY PythonLive instructor-led training
$314 $380 One-time · USD
You save$6617% off
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Course overview

About the Python Programming Certification training

Python programming training teaches you to write clean, working Python code and use its most popular libraries for data, visualization and automation.

Why learn Python?

  • Python is the leading language for artificial intelligence, machine learning and data science.
  • Experienced Python developers are well paid.
  • Python skills open doors in web development, automation, DevOps and analytics.

This course includes

  • Instructor-led live classes24 hours of live online classes: 8 weekend sessions of 3 hours each.
  • AssessmentsRegular assessments and quizzes check your learning as you go.
  • AssignmentsEvery class is followed by hands-on practice.
  • Lifetime accessKeep lifetime access to all course material, including presentations, quizzes, installation guides and class recordings.
  • 24/7 expert supportOur support team is available 24x7 to answer technical questions.
  • CertificationComplete the final project to receive CertOcean's Python Programming certificate.

What you'll learn in this course

  • Learn Python basics, sequences and file operations
  • Use functions and object-oriented programming in Python
  • Analyze data with NumPy and Pandas
  • Create charts and custom visuals with Matplotlib
  • Build GUI applications and web maps with Folium
  • Scrape web data with Beautiful Soup and work with images in OpenCV

What is the Python programming certification course?

The Python programming certification course teaches you basic and advanced Python, including writing scripts, sequence and file operations, object-oriented programming (OOP) and web scraping. It also covers widely used Python libraries such as pandas, NumPy and Matplotlib.

Why learn Python programming?

Python is a flexible, powerful, open-source language that is easy to learn and comes with strong libraries for data manipulation and analysis. It is used in scientific computing and in industries such as finance, oil and gas, physics and signal processing. Today, Python is the most popular language for artificial intelligence and one of the top choices for robotics, web development and DevOps.

What are the objectives of the Python programming course?

After this course, you will be able to:

  • Write Python scripts and test your code
  • Download and analyze data automatically
  • Handle different kinds of data: ordinal, categorical and encoded
  • Create data visualizations
  • Use Jupyter notebooks to present data analysis step by step

Who should take the Python programming course?

  • Programmers, developers, technical leads, architects and freshers
  • Data scientists and data analysts
  • Statisticians and analysts
  • Business analysts
  • Project managers
  • Business intelligence managers

What are the prerequisites for the Python programming course?

There are no specific prerequisites. A basic understanding of programming terms is enough to get started.

What are the system requirements for the Python programming course?

You need a computer with a reliable internet connection.

How do the hands-on Python practicals work?

You do all the projects in a lab environment set up for this course.

Curriculum

Python Programming Certification course syllabus

9 modules · 91 topics · 24 hours of live training

Introduction to Python 11 topics
  • Learning goal: Learn the basic concepts of the Python language and write your first programs.
  • Why programming matters
  • Overview of Python
  • Organizations that use Python
  • Python applications in different domains
  • Installing Python
  • Variables
  • Operands and expressions
  • Conditional statements
  • Loops
  • Command-line arguments
Sequences and File Operations 8 topics
  • Learning goal: Work with files and with Python's sequence types and their operations.
  • Accepting user input and the eval function
  • File input and output functions
  • Lists and their operations
  • Tuples and their operations
  • Strings and their operations
  • Sets and their operations
  • Dictionaries and their operations
Functions, OOP, Modules and Exceptions 21 topics
  • Learning goal: Write functions, apply object-oriented programming, use modules and handle errors and exceptions.
  • User-defined functions and the return statement
  • The if __name__ == "__main__" idiom
  • Function parameters and types of arguments
  • Global variables, the global keyword and variable scope
  • Lambda functions
  • Built-in functions
  • Object-oriented concepts and built-in class attributes
  • Public, protected and private attributes and methods
  • Class and instance variables
  • Constructors and destructors
  • Decorators
  • Inheritance and its types
  • Method resolution order (MRO)
  • Overloading and overriding
  • Getter and setter methods
  • Standard libraries, packages and import statements
  • The reload function
  • The sys, os, math, datetime, random and json modules
  • Regular expressions
  • Exception handling
Introduction to NumPy 10 topics
  • Learning goal: Learn data analysis basics and work with arrays in NumPy.
  • Basics of data analysis
  • NumPy arrays
  • Operations on arrays
  • Indexing, slicing and iterating
  • Array attributes
  • Matrix products
  • NumPy functions
  • Array manipulation
  • File handling with NumPy
Data Manipulation with pandas 10 topics
  • Learning goal: Analyze and manipulate data with pandas.
  • Introduction to pandas
  • Data structures in pandas: Series and DataFrames
  • Importing and exporting files
  • Basic DataFrame functions
  • Merging data
  • Concatenating data
  • Types of joins
  • Cleaning data with pandas
  • Exploring datasets
Data Visualization with Matplotlib 12 topics
  • Learning goal: Create different types of charts and customize them with Matplotlib and subplots.
  • Why data visualization matters
  • The Matplotlib library
  • Line and multiline plots
  • Bar plots
  • Histograms
  • Pie charts
  • Scatter plots
  • Box plots
  • Customizing visualizations
  • Grids and subplots
  • Saving charts
GUI Programming 6 topics
  • Learning goal: Create GUI elements and add them to your applications.
  • The ipywidgets package
  • Numeric, Boolean, selection and string widgets
  • Date pickers and color pickers
  • Container widgets
  • Creating a GUI application
Building Web Maps and Plotting Data 6 topics
  • Learning goal: Build web maps with Folium and pandas, and plot information from datasets.
  • Using the Folium library
  • Using pandas with maps
  • Flow chart of a web map application
  • Building a web map with Folium and pandas
  • Reading data from datasets and plotting it
Web Scraping, Bokeh and Computer Vision with OpenCV 7 topics
  • Learning goal: Build Python applications that scrape the web, create interactive charts and process images and video.
  • The Beautiful Soup and Requests libraries
  • Scraping all hyperlinks from a web page
  • Plotting charts and scatter plots with Bokeh
  • Editing images with OpenCV
  • Face detection with OpenCV
  • Motion detection and video capture

Get the detailed syllabus

Receive the full module plan, batch timings and a call with an advisor who can answer your exam questions.

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Upcoming batches

Next Python Programming Certification batches

Live online classes with an instructor, 9:00 AM to 5:00 PM Eastern Time (ET).

Weekday batch

Starts Monday, October 26

Starts in 2 days · Live online

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Weekend batch

Starts Saturday, October 31

Starts in 7 days · Live online

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Flexible

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Sample certificate
Certification

Earn your Python Programming Certification certificate

  • Certificate of completionIssued by CertOcean when you finish the training and assignments.
  • Show it to employersAdd it to your LinkedIn profile and resume.
Start your certification
Learner reviews

Why learners choose CertOcean

Rated Excellent · 4.9 out of 5 on Trustpilot
The training curriculum was great. CertOcean provided me everything required to obtain my CISM. They're excellent!
Laxmi Haya Vadan KaramcheduUnited States · CISMVerified
Very resourceful company, I passed my PMP exam at first attempt, highly recommended.
IjeomaCanada · PMPVerified
Great training support! Helped me pass several certifications.
Cozumel TyUnited StatesVerified
  • US, Canada and UK hoursClasses set around your working day
  • Expert instructorsWorking professionals in your field
  • Career supportResume and interview help
FAQ

Python Programming Certification course FAQs

Can't find your answer? A course advisor can help with the syllabus, batch dates and exam questions.

How much does the Python Programming Certification course cost?

The Python Programming Certification training costs $314, down from the regular $380 (you save 17%). It is a one-time payment in US dollars, and you can pay securely by card or PayPal.

What if I miss a Python class?

You can watch the class recording in your LMS, or attend the same session in the next live batch.

Who can I contact if I have a problem during the course?

Contact our support team, available 24x7. Ask any question about the course and we will resolve it as quickly as possible.

Can I attend a free demo class before enrolling?

Yes. Ask for a free demo class through the form on this page or on WhatsApp, and we will invite you to a live session with a trainer before you pay. You can also watch a sample class recording to see how our classes run.

Who are the instructors for CertOcean's Python course?

Our instructors are Python practitioners with more than 10 years of experience, chosen through a careful selection and training process.

Do you offer placement support?

Your LMS includes a resume builder tool with unlimited access to templates for different roles. Log in to your LMS and click "Create your resume".

Can I get help after completing the course?

Yes. Our support continues after your course ends, so you can keep asking functional and technical questions.

How long is the Python programming course?

The course has 24 hours of live online classes, run as 8 weekend sessions of 3 hours each, plus hands-on practice after every class.

Will I get a certificate after the Python Programming Certification training?

Yes. You receive a CertOcean certificate of completion when you finish the training.

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