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via Udemy |
Go to Course: https://www.udemy.com/course/microsoft-python-certification-exam-98-381-practice-tests/
Certainly! Here's a comprehensive review and recommendation for the Coursera course based on the provided syllabus: --- **Course Review: Python Basics and Data Operations Practice Tests on Coursera** This Coursera course offers an excellent opportunity for learners to strengthen their Python programming fundamentals through targeted practice tests. Designed to mirror real exam patterns, the course prepares students to confidently tackle assessments by covering key concepts across data types, control flow, file operations, code documentation, error handling, and use of modules. **Course Content & Syllabus Overview:** The practice tests include 40 multiple-choice, drag-and-drop, and dropdown questions, to be completed within 45 minutes—mimicking real exam conditions. The syllabus is comprehensive and structured as follows: - **Data Types & Operators (20-25%)** Learners evaluate expressions, identify data types (str, int, float, bool), perform data operations, and understand conversion between types. Emphasis is placed on indexing, slicing, and operator precedence, including logical, comparison, assignment, identity, and containment operators. - **Control Flow (25-30%)** The course guides constructing if-elif-else statements, nested conditions, and loops (while, for). It also covers loop control statements like break, continue, pass, and nested loops, essential for writing efficient decision-making code. - **Input and Output Operations (20-25%)** Students learn to perform file handling—open, close, read, write, append, delete—as well as console input/output tasks, including handling command-line arguments and formatted output. - **Code Documentation & Structuring (15-20%)** The importance of code readability is emphasized through comments, docstrings, proper indentation, and generating documentation with pydoc. Function definitions—including signatures, default parameters, and return statements—are also covered. - **Troubleshooting & Error Handling (5-10%)** The course teaches debugging techniques, detecting syntax errors, logic errors, runtime exceptions, and implementing try-except-finally blocks for robust error handling. - **Modules & Tools (1-5%)** Learners practice using built-in Python modules such as math, datetime, io, sys, os, and random to solve advanced problems, enhancing their ability to leverage Python's extensive standard library. **Review & Recommendations:** This course is highly recommended for beginners and intermediate learners aiming to solidify their Python skills for exams or real-world applications. Its focus on practical, exam-oriented questions helps build confidence and familiarity with typical question formats. The syllabus is well-rounded, covering all critical areas necessary for foundational Python proficiency. The mix of question types—especially drag-and-drop and dropdown selections—aligns well with modern assessment styles, making practice sessions both engaging and effective. **Final Verdict:** If you are looking for a focused, comprehensive, and exam-centric practice resource to master Python fundamentals, this Coursera course is an excellent choice. It systematically covers essential topics, prepares you with realistic practice questions, and equips you with the skills needed to succeed in assessments or programming interviews. --- Feel free to let me know if you'd like a more detailed review or specific recommendations!
These practice tests will cover the following syllabus. Exam Pattern: Number of Questions: 40 Duration: 45 Minutes Questions Type: Multiple Choice, Drag and Drop and Selection from drop down listSyllabus:Perform Operations using Data Types and Operators (20-25%)Evaluate an expression to identify the data type Python will assign to each variable Identify str, int, float, and bool data typesPerform data and data type operationsConvert from one data type to another type; construct data structures; perform indexing and slicing operationsDetermine the sequence of execution based on operator precedence Assignment; Comparison; Logical; Arithmetic; Identity (is); Containment (in)Select the appropriate operator to achieve the intended result Assignment; Comparison; Logical; Arithmetic; Identity (is); Containment (in)Control Flow with Decisions and Loops (25-30%)Construct and analyze code segments that use branching statements if; elif; else; nested and compound conditional expressionsConstruct and analyze code segments that perform iteration while; for; break; continue; pass; nested loops and loops that include compound conditional expressionsPerform Input and Output Operations (20-25%)Construct and analyze code segments that perform file input and output operationsOpen; close; read; write; append; check existence; delete; with statementConstruct and analyze code segments that perform console input and output operationsRead input from console; print formatted text; use of command line argumentsDocument and Structure Code (15-20%)Document code segments using comments and documentation stringsUse indentation, white space, comments, and documentation strings; generate documentation by using pydocConstruct and analyze code segments that include function definitionsCall signatures; default values; return; def; passPerform Troubleshooting and Error Handling (5-10%)Analyze, detect, and fix code segments that have errorsSyntax errors; logic errors; runtime errorsAnalyze and construct code segments that handle exceptionsTry; except; else; finally; raisePerform Operations Using Modules and Tools (1-5%)Perform basic operations using built-in modulesMath; datetime; io; sys; os; os.path; randomSolve complex computing problems by using built-in modulesMath; datetime; random