Dive Deep into Python (Coursera)

Offered by Board Infinity,
Dive Deep into Python (Coursera)

Embark on an immersive exploration of the Python programming realm with the "Dive Deep into Python" course. Designed meticulously, this program will pave the way from a foundational understanding of Python to its intricate nuances, ensuring you acquire a robust skill set, fit for contemporary software challenges.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

In the Foundations of Python Programming segment, kickstart your Python journey by diving into its foundational aspects. You'll be introduced to core programming concepts, data types, operators, and control flow. By the end, you'll have the knowledge to create basic yet functional Python applications.
Strengthening your Python prowess further, the Python Programming Essentials section delves into essential programming constructs. Understand the power of loops, explore the nuances of strings, and grasp the operations of arrays and lists, equipping you to handle and manipulate diverse data forms in Python.
The journey then advances to Python Data Structures and Functions. Elevate your understanding of Python's advanced data structures, from lists and tuples to dictionaries. Additionally, you'll explore the world of functions, honing your ability to craft reusable and efficient code segments.
Lastly, immerse yourself in the universe of Python OOPs and File Handling. Understand the principles of Object-Oriented Programming (OOP) with Python, from classes and objects to inheritance and beyond. Concurrently, gain proficiency in file operations, learning to read, write, and manage files seamlessly.
By the course's culmination, you will not only possess a profound understanding of Python but also be equipped to face a multitude of programming challenges. Whether you aim to craft elegant software solutions or delve into data science, your journey through this course will render you a competent and confident Python programmer.

What you'll learn

  • Gain a profound understanding of Python, focusing on core concepts, intricate data structures, and the essentials of programming in Python.
  • Master Object-Oriented Programming in Python, learning to design modular code while understanding inheritance, polymorphism, and encapsulation.
  • Dive into Python's advanced data structures such as lists, tuples, dictionaries, and sets, ensuring effective data management and manipulation.
  • Enhance your Python skillset with file handling techniques, managing directories, and robust error and exception handling practices.

Syllabus

Foundations of Python Programming
This comprehensive module serves as your gateway to the world of programming with Python. With a focus on core programming concepts, you'll lay the groundwork for your coding journey. Through lessons on programming fundamentals, data types, operators, and control flow, you'll build a strong foundation that will empower you to create efficient and functional Python applications.

Python Programming Essentials
This comprehensive module is designed to provide you with a solid foundation in essential programming concepts using Python. As you progress through the lessons on loops, strings, arrays, and lists, you'll gain the skills needed to create efficient and versatile Python applications. By the end of this module, you'll be equipped to write elegant and functional code, handle data manipulation, and design effective algorithms.

Python Data Structures and Functions
This module is designed to provide you with a deep understanding of essential data structures and fundamental functions in Python. As you progress through the lessons on lists, tuples, sets, dictionaries, and functions, you'll gain the skills needed to manipulate data effectively and write versatile code. By the end of this module, you'll be equipped with the knowledge to design efficient algorithms, manage data collections, and create reusable functions, enhancing your capabilities as a Python programmer.

Python OOPs and File Handling
In this comprehensive module is designed to provide you with a solid foundation in both Object-Oriented Programming (OOP) principles and the essential skills for working with files in Python. Through a structured approach, you'll explore the concepts of classes, objects, inheritance, and polymorphism, enabling you to design modular and reusable code. Additionally, you'll delve into the intricacies of file handling, mastering techniques to read, write, and manage files, along with directory operations. By the end of this module, you'll possess a well-rounded understanding of OOP and the proficiency to handle various file-related tasks in Python.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Introduction to Computer Vision with Watson and OpenCV (Coursera) Coursera
IBM

Introduction to Computer Vision with Watson and OpenCV (Coursera)

Computer Vision is one of the most exciting fields in Machine Learning and AI. It has applications in many industries such as self-driving cars, robotics, augmented reality, face detection in law enforcement agencies. In this beginner-friendly course you will understand about computer vision, and will learn about its various applications across many industries.

Jun 1st 2026
4 Weeks
Object Oriented Programming in Java (Coursera) Coursera
University of California, San Diego

Object Oriented Programming in Java (Coursera)

Welcome to our course on Object Oriented Programming in Java using data visualization. People come to this course with many different goals -- and we are really excited to work with all of you! Some of you want to be professional software developers, others want to improve your programming skills to implement that cool personal project that you’ve been thinking about, while others of you might not yet know why you’re here and are trying to figure out what this course is all about.

Jun 1st 2026
5-12 Weeks
Hypothesis Testing with Python and Excel (Coursera) Coursera
Tufts University

Hypothesis Testing with Python and Excel (Coursera)

In today's job market, leaders need to understand the fundamentals of data to be competitive. An essential procedure to understand business and analytics is hypothesis testing. This short course, designed by Tufts University expert faculty, will teach the fundamentals of hypothesis testing of a population mean and a population proportion, using Excel and Python for calculations. You'll also discover the central limit theorem, which is essential for hypothesis testing. To conclude the course, you will apply your newfound skills by creating a plan for an experiment in your own workplace that uses hypothesis testing.

Jun 2nd 2026
1 Week
Python Functions, Files, and Dictionaries (Coursera) Coursera
University of Michigan

Python Functions, Files, and Dictionaries (Coursera)

This course introduces the dictionary data structure and user-defined functions. You’ll learn about local and global variables, optional and keyword parameter-passing, named functions and lambda expressions. You’ll also learn about Python’s sorted function and how to control the order in which it sorts by passing in another function as an input.

Jun 1st 2026
5-12 Weeks
Python Data Analysis (Coursera) Coursera
Rice University

Python Data Analysis (Coursera)

This course will continue the introduction to Python programming that started with Python Programming Essentials and Python Data Representations. We'll learn about reading, storing, and processing tabular data, which are common tasks. We will also teach you about CSV files and Python's support for reading and writing them. CSV files are a generic, plain text file format that allows you to exchange tabular data between different programs. These concepts and skills will help you to further extend your Python programming knowledge and allow you to process more complex data.

Jun 1st 2026
4 Weeks
Data Analysis Tools (Coursera) Coursera
Wesleyan University

Data Analysis Tools (Coursera)

In this course, you will develop and test hypotheses about your data. You will learn a variety of statistical tests, as well as strategies to know how to apply the appropriate one to your specific data and question. Using your choice of two powerful statistical software packages (SAS or Python), you will explore ANOVA, Chi-Square, and Pearson correlation analysis. This course will guide you through basic statistical principles to give you the tools to answer questions you have developed. Throughout the course, you will share your progress with others to gain valuable feedback and provide insight to other learners about their work.

Jun 1st 2026
4 Weeks
Problem Solving, Python Programming, and Video Games (Coursera) Coursera
University of Alberta

Problem Solving, Python Programming, and Video Games (Coursera)

This course is an introduction to computer science and programming in Python. Important computer science concepts such as problem solving (computational thinking), problem decomposition, algorithms, abstraction, and software quality are emphasized throughout. The Python programming language and video games are used to demonstrate computer science concepts in a concrete and fun manner. However, a learner can take the knowledge and skills from this course and apply them to non-game problems, other programming languages, and other computer science courses.

Jun 1st 2026
5-12 Weeks
Object-Oriented Data Structures in C++ (Coursera) Coursera
University of Illinois at Urbana-Champaign

Object-Oriented Data Structures in C++ (Coursera)

This course teaches learners how to write a program in the C++ language, including how to set up a development environment for writing and debugging C++ code and how to implement data structures as C++ classes. It is the first course in the Accelerated CS Fundamentals specialization, and subsequent courses in this specialization will be using C++ as the language for implementing the data structures covered in class.

Jun 3rd 2026
4 Weeks
Regression Modeling in Practice (Coursera) Coursera
Wesleyan University

Regression Modeling in Practice (Coursera)

This course focuses on one of the most important tools in your data analysis arsenal: regression analysis. Using either SAS or Python, you will begin with linear regression and then learn how to adapt when two variables do not present a clear linear relationship. You will examine multiple predictors of your outcome and be able to identify confounding variables, which can tell a more compelling story about your results. You will learn the assumptions underlying regression analysis, how to interpret regression coefficients, and how to use regression diagnostic plots and other tools to evaluate the quality of your regression model. Throughout the course, you will share with others the regression models you have developed and the stories they tell you.

Jun 5th 2026
4 Weeks
Java for Android (Coursera) Coursera
Vanderbilt University

Java for Android (Coursera)

This MOOC teaches you how to program core features and classes from the Java programming language that are used in Android, which is the dominant platform for developing and deploying mobile device apps. In particular, this MOOC covers key Java programming language features that control the flow of execution through an app (such as Java’s various looping constructs and conditional statements), enable access to structured data (such as Java's built-in arrays and common classes in the Java Collections Framework, such as ArrayList and HashMap), group related operations and data into classes and interfaces (such as Java's primitive and user-defined types, fields, methods, generic parameters, and exceptions), customize the behavior of existing classes via inheritance and polymorphism (such as subclassing and overriding virtual methods).

Jun 2nd 2026
4 Weeks
Machine Learning for Data Analysis (Coursera) Coursera
Wesleyan University

Machine Learning for Data Analysis (Coursera)

Are you interested in predicting future outcomes using your data? This course helps you do just that! Machine learning is the process of developing, testing, and applying predictive algorithms to achieve this goal. Make sure to familiarize yourself with course 3 of this specialization before diving into these machine learning concepts. Building on Course 3, which introduces students to integral supervised machine learning concepts, this course will provide an overview of many additional concepts, techniques, and algorithms in machine learning, from basic classification to decision trees and clustering.

Jun 1st 2026
4 Weeks
Data Structures (Coursera) Coursera
University of California, San Diego,Higher School of Economics - HSE University

Data Structures (Coursera)

A good algorithm usually comes together with a set of good data structures that allow the algorithm to manipulate the data efficiently. In this course, we consider the common data structures that are used in various computational problems. You will learn how these data structures are implemented in different programming languages and will practice implementing them in our programming assignments.

Jun 1st 2026
5-12 Weeks