Browse our Python Labs
Python expertise is in high demand in today’s data-driven job market. According to recent industry reports, job postings requiring Python skills have seen a significant increase, with an average annual salary range of $90,000 to $140,000. By mastering Python, you’ll position yourself for career growth and advancement in roles such as data analyst, machine learning engineer, data scientist, or software developer.
Here’s what you can expect from this Python Mastery course:
☑️ Gain Practical Skills through Hands-on Experience: Gain hands-on experience through interactive exercises and real-world projects. You'll learn how to leverage Python to start automating processes and data analyses.
☑️ Clear Explanation of Complex Concepts: Our instructors are experts at explaining complex concepts in a clear and concise manner. You'll dive deep into Python basic data structures and flow features, learning how to create custom functions, data analyses and statistical modeling.
☑️ Real-world Applications: Explore real-world applications of Python programming and data analysis. From business analytics and sales reporting to data-driven decision making, you'll discover how Python can revolutionize the way you analyze and present data.
☑️ Career Advancement Opportunities: Mastering Python opens doors to exciting career opportunities. Employers value professionals who can leverage the power of Python to drive informed decisions. By becoming proficient in Python, you'll position yourself for career growth and advancement in the data-driven world.
☑️ Comprehensive Coverage and Self-Paced Learning: Our course ensures comprehensive coverage of Python's capabilities to analyze data and create statistical models.
This practical Python video course includes 4 labs
and Functions
This comprehensive lab offers step-by-step guidance on Python fundamentals and functions.
Here is what you can expect:
☑️ Learn the core building blocks of Python, from math operators to strings, variables, and basic program structure.
☑️ Dive into data types and functions like Type, Len, Str, Int, and Float to manipulate and analyze data effectively.
☑️ Understand the power of control statements like IF, ELSE, ELIF, and loops such as While and FOR to create dynamic programs.
☑️ Explore the world of functions, including defining, using, and managing local and global variables within them.
☑️ Apply your knowledge to real-world coding challenges like guess the number, reverse a string, and calculate the area of a circle.
☑️ Hone your problem-solving abilities by tackling tasks like creating a simple Python calculator and finding the largest number among three values.
Upon completion of the proejct of this lab, you’ll be equipped with the essential skills to write Python programs, manipulate data, make decisions with IF statements, create loops, define and use functions effectively, and solve various programming challenges.
Whether you’re a beginner or looking to enhance your Python skills, this course will empower you to tackle a wide range of coding projects with confidence.
$9.99
and Dictionaries
This comprehensive lab provides step-by-step guidance on Python lists, tuples and dictionaries.
Here’s what you can expect:
Learn the ins and outs of Python lists and tuples, from their creation to advanced manipulation techniques.
Dive deep into dictionaries, a powerful data structure in Python. Understand how to work with keys, values, and items.
Explore how to manipulate lists efficiently with operations like appending, inserting, removing, and sorting.
Unlock the potential of dict comprehensions. Learn how to create and manipulate dictionaries to make your code cleaner and more readable.
Elevate your string manipulation skills with a comprehensive overview of functions like upper(), lower(), split(), strip(), join() and others.
Upon completion of projects of this lab, you will have a strong command of Python’s fundamental data structures: lists, tuples, and dictionaries. You’ll be able to create, manipulate, and optimize lists efficiently, harness the power of dictionaries for data organization, and perform advanced string manipulations.
Whether you’re a beginner looking to build a solid Python foundation or an experienced programmer aiming to sharpen your skills, this course will empower you to write cleaner, more efficient Python code for your projects..
$9.99
This lab offers step-by-step guidance to data analysis and statistical modeling in Python.
Here’s what you can expect:
☑️ Learn to compute summary statistics for numerical columns, providing a solid foundation for data exploration and understanding.
☑️ Discover methods to identify and deal with missing values, ensuring your analysis is robust and complete.
☑️ Understand the importance of outlier detection, and use techniques like box plots and IQR to manage outliers effectively.
☑️ Calculate skewness and kurtosis for numerical variables, setting thresholds for identifying skewed data.
☑️ Visualize data distributions using histograms and Seaborn's distplot, and explore relationships with scatter plots and regression lines.
Dive into advanced statistical modeling techniques, including ANOVA and independent T-tests using the statsmodels library.
☑️ Learn the art of predictive modeling with linear regression for numeric outcomes and logistic regression for classification tasks, using both scikit-learn and statsmodels.
Upon completion of the real-world projects of this lab, you’ll have will possess a strong foundation in Python data analysis and statistical modeling and be proficient in linear and logistic regression modeling.
$9.99
in Python
This comprehensive lab provides step-by-step guidance on using regular expressions in Python.
Here’s what you can expect:
☑️ Learn to construct powerful regex patterns for searching, matching, and manipulating text effectively. This skill is invaluable for data manipulation and text processing tasks.
☑️ Discover how to use regex to validate passwords, ensuring they meet specific criteria for security. Gain the ability to implement robust authentication systems in web applications.
☑️ Explore the use of regular expressions to validate user input in web forms, ensuring data accuracy and preventing malicious inputs. This skill is essential for building robust and secure web applications.
☑️ Learn how to extract valuable information from text by identifying and extracting patterns. Additionally, discover how to replace specific strings with regex, making data transformation tasks more efficient.
☑️ Dive into essential regex syntax elements, including metacharacters, quantifiers, special sequences, and sets. Understanding these elements will empower you to create complex patterns for various purposes.
☑️ Get hands-on experience using Google Colab, a user-friendly Jupyter notebook environment that requires no setup and provides access to computing resources like GPUs. This practical skill enhances your ability to work with regular expressions in a real-world context.
Upon completion of the projects lab, you’ll have acquired the essential skills needed to harness the power of regular expressions in Python. You will be proficient in constructing intricate regex patterns, validating passwords and user inputs, extracting valuable information, and efficiently replacing strings.
$9.99
Lab #1: Python Fundamentals and Functions
- Master core Python concepts: variables, operators, control statements, and loops.
- Learn to define and use functions with local/global variables.
- Solve real-world challenges like reverse a string, calculate areas, and build a Python calculator.
Lab #2: Lists, Tuples, and Dictionaries
- Work with Python lists, tuples, and dictionaries for data storage and organization.
- Practice list operations (append, remove, sort) and dictionary manipulation.
- Explore dictionary comprehensions and advanced string functions for clean, efficient code.
Lab #3: Data Analysis and Statistical Modeling in Python
- Analyze data with summary statistics, handle missing values, and detect outliers.
- Visualize data distributions and relationships using histograms, scatter plots, and heatmaps.
- Perform statistical tests (ANOVA, T-tests) and build predictive models (linear/logistic regression).
- Gain a strong foundation in Python for data-driven insights and decisions.
Lab #4: Regular Expressions in Python
- Create regex patterns to search, validate, and manipulate text efficiently.
- Validate passwords, extract text patterns, and process web form inputs securely.
- Master regex syntax: metacharacters, quantifiers, and special sequences.
- Gain hands-on experience using Google Colab for regex tasks.
$29.99 (25% discount)