Python Programming Course: Basics to Advanced

Beginner-friendly, 20-hour training led by industry experts

Master NumPy, Pandas, MatPlotLib, and Seaborn

Gain fundamental knowledge of Python

Access Learners Point CareerHub for job assistance

Online/Classroom/Hybrid sessions offering lifelong admittance

Convenience in payment of fees

4.85/5

5524 Enrolled

Overview

What our training includes:

Learn from Industry Experts with 10+ years of experience in the Middle East Tech Sector
Work under Python Developers on real-world use cases
Understand OOPs, Data Manipulation, Data Visualization and Web Scraping
Learn to perform Data Analysis and Data Science
Identify and solve real-time industry problems to gain confidence
Practical learning with use cases after every session

Learning Outcomes

Successfully completing the Python Programming course will help you to:

Understand the roles and responsibilities of Python Developers

Master data-driven tools like MatPlotLib, Seaborn, NumPy, and Pandas

Implement Data Analytics and Data Science using Python

Develop an analytical mind to tackle real-world industry challenges

Build strong portfolios with use cases and projects

Earn certifications from KHDA and Learners Point

Ready to get started?

Overall ratings by our students

Upcoming sessions

KHDA Certificate

Earn a KHDA attested Course Certificate. The Knowledge and Human Development Authority (KHDA) is the educational quality assurance and regulatory authority of the Government of Dubai, United Arab Emirates.

Learners Point Certificate

Earn a Course Completion Certificate, an official Learners Point credential that confirms that you have successfully completed a course with us.

Related courses

Curriculum

Introduction to Python

Overview of Python: history, features, and use cases.
Installing Python and setting up the development environment.
Basic syntax: variables, data types, and simple operations.
Hands-on: Writing a simple Python program to understand basic concepts.

2.Sequences and File Operations

Introduction to sequences: lists, tuples, sets, and dictionaries
File handling: reading and writing files in Python
Intro to Mathematical Concepts: Basic probability—how to generate random numbers and use them to simulate random events
Hands-on: A program simulating coin tosses or dice rolls to explore simple probability

Functions and Object-Oriented Programming

Defining and using functions: arguments, return values, and scope
Object-oriented concepts: classes, objects, inheritance, and polymorphism
Hands-on: Writing classes to represent basic statistical concepts (e.g., creating a class for a random variable or distributions)

2.Working with Modules and Handling Exceptions

Importing and using Python modules
Exception handling: try, except, and finally blocks
Hands-on: Use Python’s built-in statistics module for basic statistical operations (mean, median, variance)

Array Manipulation using NumPy

Introduction to NumPy and its applications
Creating and manipulating arrays
Mathematical Concepts: Introduction to descriptive statistics—mean, median, mode, variance, and standard deviation using NumPy
Probability distributions (e.g., normal distribution) using NumPy’s random module
Hands-on: Use NumPy to calculate statistical measures from data arrays, simulate random data based on distributions

2.Introduction to Pandas

Basic Pandas operations: importing/exporting data, Series, and DataFrames
Cleaning and transforming data
Mathematical Concepts: Exploring data distributions (frequency distribution, data dispersion)
Hands-on: Using Pandas to compute statistics (mean, standard deviation) from real datasets

Advanced Data Manipulation with Pandas

Merging, joining, and reshaping data
GroupBy, pivot tables, and handling time-series data
Mathematical Concepts: Correlation and covariance between datasets
Hands-on: Use Pandas to explore relationships between datasets using correlation and apply statistics to grouped data

2.Data Visualization with Matplotlib and Seaborn

Basic visualization: line plots, bar charts, and scatter plots
Mathematical Concepts: Visualizing statistical distributions (histograms, box plots) and relationships between variables (scatter plots)
Hands-on: Plotting histograms, scatter plots, and box plots to visualize data distributions and compare variables

Advanced Data Visualization

Creating subplots, multiple axes, and advanced customizations in Matplotlib
Statistical visualizations in Seaborn (e.g., pair plots, heatmaps)
Mathematical Concepts: Visualizing probability distributions, regression analysis, and statistical relationships between variables (pair plots, correlation heatmaps)
Hands-on: Plotting probability density functions and visualizing relationships between multiple variables using Seaborn

2 Web Scraping with BeautifulSoup and Selenium

Introduction to web scraping: HTML parsing and scraping static pages with BeautifulSoup
Using Selenium for scraping dynamic websites
Hands-on: Scraping data from websites and performing simple data analysis/statistical insights from the scraped data

Frequently asked questions

There are no prerequisites for the course as we will learn all the concepts from scratch. Whether you are a seasoned professional or a beginner, our Python Programming Certification Training is designed to prepare you for industry job roles. A practical approach will be followed during the training to ensure optimum learning outcomes.

Skills and practical exposure to OOPs’ concepts, and Libraries like NumPy, Pandas, MatPlotLib and Seaborn are an absolute necessity. Use Cases are deciding factors for interviewers in the selection process of candidates.

Python Developers are very good candidates for the AI and ML Engineering Roles owing to their expertise in the language. However, in addition to the fundamentals of Python covered in this online Python Programming Course, you will also need to learn ML Models and Algorithms. You can take a look into our Artificial Intelligence and Machine Learning Course if your end goal is to become an AI and ML Engineer.

The job roles you can apply for after completing Python Programming Training are as follows:

Python Developer
Automation Engineer
Web Scraping Specialist
Data Analyst
Entry Level Data Scientist
Freelance/Consultant Roles and many more

The following industries keep looking for Python Programming Professionals in Dubai:

1. Banking and Financial Institutions (Emirate NBD, ADIB, etc)
2. Retail and E-Commerce (Noon, Amazon MENA)
3. Consultancies (PwC Middle East, Deloitte)
4. Government Firms (Smart Dubai, ADIA)
5. Many more organisations hiring for Data Scientist and Data Analyst roles which need Python skills

You can attend the classes in our classroom facility in Dubai. Speak with our advisor to get the exact location. If you are from outside the UAE, you can attend our classes online from anywhere across the globe. A hybrid training mode is available.

At Learners Point, learners’ satisfaction with the training and confidence after the training is of utmost importance. We provide lifetime access to the sessions for you. You can attend multiple batches of the program till you are confident about all the concepts.

Yes. You can enrol with us through easy instalment options with Tabby or Tamara. We also provide no-cost EMI options for certain credit cards. Talk to our advisors for accurate information.

The Python Programming Certification Training is designed to give you a clear conceptual understanding and to prepare you for real-world industry scenarios.
Complete Daily Assignments to track your knowledge. Work on Use Cases to check your implementation skills. If you still believe you need to revise the concepts, you can attend multiple batches with us owing to your lifetime access to the program.