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Go to Course: https://www.udemy.com/course/python-beginners-learn-practice/
Certainly! Here's a comprehensive review and recommendation for the Coursera course based on the provided details: --- **Course Review and Recommendation: Python for Beginners** If you're looking to kickstart your programming journey or enhance your skill set with a comprehensive, beginner-friendly Python course, this offering on Coursera is an excellent choice. **Content and Structure:** This course provides instant access to a detailed 177-page Python workbook, serving as a valuable reference for your learning journey. It encompasses over 13 hours of clear, step-by-step instructions, combined with practical lessons and hands-on projects. Notably, students will practice coding through 10 real-world projects, including facial detection, password generators, and fidget spinners, which are perfect for applying learned concepts in tangible ways. **Interactive Learning:** The course includes 17 quizzes and knowledge checks designed to reinforce your understanding at various stages. Additionally, there is an engaging community aspect where students can introduce themselves and share their goals — fostering a supportive learning environment. **Coverage and Topics:** The curriculum covers essential topics such as Python fundamentals, control flow, data structures (lists, dictionaries, tuples), functions, classes, inheritance, exception handling, data pre-processing, and data visualization using libraries like NumPy and Pandas. It also delves into regular expressions and data analysis techniques. This broad scope ensures that students gain a well-rounded understanding of Python's capabilities, especially in data-related applications. **Target Audience:** One of the most attractive features of this course is that it doesn't require prior coding experience, making it accessible to everyone interested in building a career in the digital world. Laika Satish, the lead instructor, brings professional expertise, and students will benefit from her engaging teaching style. **Encouragement and Support:** The course features milestones like celebrating progress at 25%, 50%, 75%, and 100%, which help maintain motivation throughout your learning process. Plus, the course includes community support and personalized feedback, creating an encouraging environment for learners. **Value Proposition:** With the inclusion of a comprehensive workbook, practical projects, quizzes, and community interaction, this course offers excellent value for beginners eager to learn Python comprehensively. The 30-day money-back guarantee provides peace of mind, letting you explore the content risk-free. **Final Verdict:** I highly recommend this course to anyone interested in learning Python from scratch. Whether you're a student, a professional looking to upskill, or a hobbyist, this course provides the foundational knowledge and practical skills needed to succeed in programming and data analysis. Enroll now and take the first step toward mastering Python for your personal or professional goals! --- Feel free to customize this review further to suit your style or specific needs!
Get instant access to a 177-page Python Coding workbook containing all the reference materialPractice your Python with 10 real world coding projects; facial detection, password generator, fidget spinner & moreOver 13 hours of clear and concise step by step instructions, practical lessons and engagement17 coding quizzes and knowledge checks at various stages to test your learning and confirm your growthIntroduce yourself to our community of students in this course and tell us your goalsEncouragement & celebration of your progress: 25%, 50%, 75% and then 100% when you get your certificateThis course introduces Python as a programming language, how to use it, and the different underlying concepts in developing applications or solving real-world problems using this language. This course does not require technical Coding skills and it is meant for everyone who wishes to build a career in digital world. What will you learn:Learn why we need codingExplain why we need to learn pythonUnderstand the uses of python and why it is easy to learnIdentify the types of reserved words and used and used of special literalsLearn the programs to print strings, integers, using FOR loopDefine why and where Break,Continue,Pass statements are being use and their examplesGive example of Pass statements in PythonDifferentiate between lists and dictionaries in PythonLearn what are functions and why we need themKnow how to use Built-In Functions in Programs in PythonBe able to create a simple class in PythonLearn the concept of inheritance in PythonDefine what is exceptions using multiple except blocks or one except block in codeExplain what Data Pre-Processing meansDefine what is Numpy and Numpy ndarrayLearn what is Pandas Series in PythonUnderstand how to create Histogram in Python and what is Grouping in Categorical DataLearn what is Tuples in PythonKnow how to index elements inside TuplesIdentify the Functions of TuplesDefine what are Regular Expressions In PythonContents and OverviewYou'll start with Why do we need coding?; Importance and Technical Description of Python; Python as an Interpreted Language; Uses of Python and why it is easy to learn; What is Jupyter and how it relates to Python; Installing and launching Jupyter and Python; Simple Python Project: Print Variables and String using Print function; Use of Length function,arrays,float data type and how to solve kernel error; Difference between Python 2.x and Python 3.x and which one is best to use; Concept of concatenation and assigning values to variables.Then you will learn about the Basics of Python and Comparison Operators; Types of Reserved Words and Use of Special Literals; What are Identifiers and how to write a program to take user inputs; Loops and Iterations: FOR Loop; How to print Strings and Integers using FOR Loop; IF statements and how to use IF statements in Python; While Loop and how to use the while loop in Python; How to use Break,Continue, and Pass statements; Types of Range Functions in Python; Example of Pass statement in Python; String Operations: How to do iterations through String; String Operations: How to split and subtract String; Difference between Lists and Dictionaries in Python; Example of Lists in Python; Example of Dictionaries in Python.We will also cover What are Functions and Why do we need them; Working of Functions in Python; Types and Examples of Functions in Python; User-Defined and Built-in Functions in Python; How to use Built-In Functions in Programs in Python; Anonymous Functions and how to use them in a program; What is a Class, its properties and why we use it; Create a Simple Class in Python; Init Method and its use in a Class in Python; What are Instance Variables and Class Variables in Python; What are Hidden Variables and their uses; How to print Object Information in a Class in Python; Concept of Inheritance in Python with examples; Types of Inheritance in Python; Single Inheritance in Python with example; Multiple Inheritance in Python with example; Multilevel Inheritance in Python with example; What is Super Function and how it is used in Python Inheritance; Override Method in Python Inheritance with example.This course will also tackle What is Exception Handling in Python and how to handle Errors; Code Example of Exception Handling in Python; Handle Exceptions using multiple except blocks or one except block in code; Recap of Python Programming(data types,variables,classes,functions,inheritance); What is Data Pre-Processing; Data Pre-Processing, Data Mining, and Types of Data; Importing Libraries for Data Processing in Python; Importing the Dataset, Dependent, and Independent Variables; Handling the Missing Values in the Dataset for Data Processing with Code Example; Encoding Categorical Data in Data Processing and what is Hot Encoding; Label Encoding in Data Processing with Code Example; Normalizing the Dataset for Data Processing in Python; Splitting the Dataset For Data Processing in Python; What is Numpy and NumPy ndarray; Program for Checking Dimension and Shape of Array in Python; What is Pandas Series in Python; Creating a Pandas Series in Python with code example; Explanation of Pandas Rank with code example.This course will also discuss What is Data Visualization and how it can be achieved in Python; How Data Visualization is used and Plotting Libraries in Python; Creating Histogram in Python and Grouping in Categorical data; What is Tuples in Python; Creating Tuples in Python with code example; How to index elements inside Tuples; Slicing, Comparison, and Operations on Tuples; Concatenation, Iteration, and Repetition of Tuples in Python; Functions of Tuples in Python; Frozen Set Operations.Next, you will learn about What are Regular Expressions in Python; Modules of Python to work with Regular Expressions; Program to Extract Numbers from String Using Regular Expression Functions; Program to remove all White spaces Using Regular Expressions Functions.Last but not the least, you'll get to explore different coding projects in Python that you use to further test and hone your Python coding skills.Who are the Instructors?Laika Satish is your lead instructor - a professional making a living from teaching programming to people like you. She has joined with content creator Peter Alkema to bring you this amazing new course.You'll get premium support and feedback to help you become a better business writer!Our happiness guarantee...We have a 30-day 100% money back guarantee, so if you aren't happy with your purchase, we will refund your course - no questions asked!We can't wait to see you in the course!Enroll now, and we'll help you write better than ever!Peter and Laika