Course details
Master Python Programming with Our Beginner-Friendly CourseOur Python Programming course is designed to help learners start from the basics and advance to expert-level programming. This
20-hour course covers essential concepts and practical applications, such as data manipulation, visualization, object-oriented programming, and web scraping. Led by industry experts, our training ensures a seamless and engaging learning experience through hands-on exercises and real-world
… + Read MoreCourse details
Master Python Programming with Our Beginner-Friendly CourseOur Python Programming course is designed to help learners start from the basics and advance to expert-level programming. This
20-hour course covers essential concepts and practical applications, such as data manipulation, visualization, object-oriented programming, and web scraping. Led by industry experts, our training ensures a seamless and engaging learning experience through hands-on exercises and real-world examples.
Why Enroll in Our Python Programming Course?Our Python Programming Training is tailored to beginners and professionals alike, offering a comprehensive understanding of Python’s core features. The course includes:
- Mastering Key Tools: NumPy, Pandas, Matplotlib, and Seaborn for data manipulation and visualization.
- Real-World Applications: Advanced modules on web scraping with BeautifulSoup and Selenium.
- Flexible Learning Modes: Online, classroom, or hybrid options with lifetime access.
- Career Assistance: Access to Learners Point CareerHub for job placement and guidance.
What Will You Learn?Our Python Programming Course is divided into 5 modules, covering:
- Basic Python Programming Concepts: Learn Python syntax, sequences, and file operations.
- Functions and OOP: Master defining functions, object-oriented programming, and modules.
- Data Manipulation: Clean, transform, and analyze data using NumPy and Pandas.
- Data Visualization: Create stunning visualizations with Matplotlib and Seaborn.
- Web Scraping: Build skills in extracting data from websites with BeautifulSoup and Selenium.
How Python Certification Boosts Your CareerWith Python being one of the most in-demand programming languages, our Python Programming Certification helps you build strong foundational and advanced skills. This certification
enables professionals to excel in careers like data science, analytics, automation, and software development. Companies value certified Python professionals for their ability to handle data, create visualizations, and develop automation solutions.
Course Modules
Introduction to Python & Sequences
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.
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, Object-Oriented Programming, and ModulesFunctions 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 (, creating a class for a random variable or distributions)
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)
NumPy and Pandas for Data Manipulation
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 (, normal distribution) using NumPy’s random module
- Hands-on: Use NumPy to calculate statistical measures from data arrays, simulate random data based on distributions
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 Pandas and Data Visualization
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
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 & Web Scraping
Advanced Data Visualization - Creating subplots, multiple axes, and advanced customizations in Matplotlib
- Statistical visualizations in Seaborn (, 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
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
Why Learners Point?At Learners Point, we prioritize your success by offering:
- Expert-Led Training: Delivered by certified trainers with industry experience.
- Flexible Schedules: Weekday and weekend sessions to suit your availability.
- Affordable Payments: Easy payment options with installments.
- Career Support: Assistance with resumes, job placement, and industry connections.
Testimonials
Fatima Al Zarooni, Business Intelligence Specialist"This Python Programming course was exactly what I needed to advance my skills. The instructors broke down complex concepts into easy-to-follow steps, making each session ;
Ahmed Khalid, Data Analyst"The course provided a perfect blend of theory and hands-on practice, which really helped me grasp the essentials of Python programming. The modules on data manipulation and visualisation were particularly ;
Updated on 13 February, 2025 - Read LessAbout Learners Point Training Institute
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Therefore, we offer a variety of delivery methods:
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