Python Developer: From Basics to Case Studies

EDUCBA via Coursera Specialization

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Provider

Coursera Specialization
Pricing

Paid Course
Languages

English
Certificate

Certificate Available
Effort

4 weeks, 10 hours a week
Sessions

Self-Paced
Level

Beginner

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The Python Developer Specialization equips learners with the complete skill set needed to code, analyze, and build real-world applications using Python. Starting with foundational programming concepts, learners progress through advanced data structures, object-oriented programming, and file handling before applying their skills in case studies such as chatbot development, sentiment analysis, cryptography, and app building. By the end, participants will be prepared to design, implement, and evaluate robust Python-based solutions for data science, software development, and automation.

Syllabus

Course 1: Python Basics: Learn, Apply & Build Programs
Course 2: Python Fundamentals: Apply Data Structures
Course 3: Advanced Python: OOP, File Handling & Libraries
Course 4: Python Case Studies: Build Chatbots, Apps & Systems
Course 5: Python Case Study - Cryptography
Course 6: Python Case Study - Sentiment Analysis

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Learn how to apply and analyze cryptographic systems using Python through practical, case-based implementation. This course guides you from foundational cryptography concepts and simple reverse and Caesar ciphers to brute force attacks, transposition ciphers, and classical multiplicative and affine encryption. You’ll develop Python programs for encryption and decryption, automate English detection, apply modular arithmetic, generate cipher keys, and examine how attackers exploit patterns and weaknesses. You’ll also implement substitution, Vernam, and Vigenère ciphers while evaluating their cryptographic strength and susceptibility to cryptanalysis. The course then introduces modern cryptography, including Base64 encoding, hashing algorithms, cryptographic libraries, and RSA public-key cryptography. You’ll distinguish encoding from encryption, apply hashing for data security, and construct and validate RSA key pairs for secure message exchange. Designed for learners interested in Python programming, cryptography, and secure communication, this course uniquely connects cryptographic theory with hands-on case studies. By the end, you’ll be able to build encryption and decryption tools, analyze cipher vulnerabilities, compare classical and modern techniques, and implement cryptographic methods in Python. Enroll to develop practical skills in designing, testing, and evaluating secure communication systems.
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Build and evaluate a sentiment analysis model using Python in this practical, project-based introduction to natural language processing (NLP) and machine learning. Designed for learners with basic Python knowledge, the course guides you from understanding the purpose and real-world applications of sentiment analysis to creating a complete text classification pipeline. You’ll identify a suitable development environment, explore the roles of essential Python libraries and machine learning algorithms, and process textual data through cleaning and feature extraction. Step by step, you’ll implement code, train sentiment classification models, and assess their performance using standard evaluation metrics. By the end of the course, you’ll be able to explain key sentiment analysis concepts, select appropriate Python tools and libraries, prepare text data, train machine learning models, and evaluate their results. What makes this course distinctive is its structured progression from foundational concepts to hands-on implementation and model evaluation. Enroll to strengthen your Python, NLP, and text classification skills by building a working sentiment analysis application.
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Python Advanced Training: Apply OOP, File Handling & Libraries is designed to help you strengthen your Python programming skills by mastering advanced programming concepts used in real-world applications. You will begin by learning advanced file handling techniques, including reading, writing, and managing files efficiently for reliable data storage and retrieval. The course then introduces object-oriented programming (OOP), where you will design classes, create objects, and implement data structures such as linked lists to build reusable, modular, and maintainable code. As you progress, you will develop reliable programs by applying effective exception-handling strategies, including multiple except blocks, else, finally, and custom exceptions. You will also explore Python's powerful standard library by working with modules such as os, sys, math, json, and re to streamline development and solve common programming tasks efficiently. This course is ideal for learners who already understand Python fundamentals and want to advance their programming expertise through practical implementation. Rather than focusing on theory alone, each topic is reinforced with hands-on examples that demonstrate how advanced Python features work together to create scalable, efficient, and maintainable applications. By the end of the course, you will be able to apply advanced file handling, design object-oriented programs, implement robust exception handling, and leverage Python's built-in libraries to solve practical programming challenges with confidence.
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Master Python Basics: Learn, Apply, and Build Programs is a beginner-friendly course designed to help you build a strong foundation in Python programming through practical, hands-on learning. You will begin by installing Python, configuring your development environment, verifying your setup, and running your first scripts with confidence. As you progress, you will apply variables, data types, lists, strings, type conversions, arithmetic operations, and input/output to create accurate and interactive Python programs. The course then expands your problem-solving skills by exploring control flow, loops, nested loops, and functions. You will design reusable functions with parameters, default values, and return statements while implementing classic programming exercises such as prime number checking, Fibonacci sequences, HCF/GCD and LCM calculations, and pattern generation. You will also develop advanced programs including centered pyramids, Pascal's triangle, Floyd's triangle, and input-validated calendar applications. Designed for beginners, students, and anyone starting their Python programming journey, this course follows a structured progression that builds confidence without overwhelming you. Each lesson combines clear explanations with guided coding exercises, allowing you to immediately apply what you learn. By the end of the course, you will be able to write well-structured Python programs, solve programming challenges using loops and functions, and build a solid foundation for further learning in Python.
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Master Python through practical, case-study-based projects that help you apply programming concepts to real-world applications. In this course, you will design, implement, and validate three hands-on Python projects: a rule-based chatbot, a database-driven expense manager application, and a complete markup processing system with PDF generation. Each project is structured to strengthen your ability to solve authentic programming challenges while building confidence in Python development. You will begin by creating a chatbot with Python and NLTK, configuring the development environment, building reflection dictionaries and response pairs, and testing and refining chatbot behaviour. Next, you will develop an expense manager application using Python, HTML, SQL, and Bootstrap, implementing data handling, category management, visualization, and object-oriented enhancements. Finally, you will build an Instant Markup system by applying parsers, rules, filters, and handlers to transform raw text into structured documents, culminating in PDF generation and internet-based data processing. This course is ideal for learners who want to strengthen their Python programming skills through project-based learning. By the end of the course, you will be able to build intelligent chatbot applications, create database-powered Python apps, automate text processing workflows, and implement complete Python solutions using practical case studies that mirror real development scenarios.
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Master the fundamentals of Python data structures and build practical programming skills for organizing, manipulating, and analysing data. In Master Python Fundamentals: Analyze & Apply Data Structures, you will progress from core concepts such as matrix operations, list concatenation, dictionary merging, and collection arithmetic to more advanced techniques, including sorting algorithms, binary search, and string manipulation. Through hands-on coding exercises and practice quizzes, you will strengthen your problem-solving skills while learning how to apply Python functions to real-world programming tasks. Designed for beginners and learners looking to reinforce their Python foundation, this course provides a structured learning experience that builds confidence step by step. You will learn to work efficiently with Python lists, dictionaries, matrices, and collection types, perform data searching and text processing, and combine multiple data operations to solve practical coding challenges. What makes this course unique is its progression from foundational data handling to advanced data manipulation, with every concept reinforced through practical coding examples instead of theory alone. By the end of the course, you will be able to analyse matrices, implement list and dictionary operations, apply sorting algorithms and binary search, perform arithmetic on collections, evaluate string manipulation techniques, and confidently develop efficient Python solutions that prepare you for more advanced programming, data analysis, and machine learning studies.