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via Udemy |
Go to Course: https://www.udemy.com/course/learn-python-a-to-z/
Certainly! Here is a comprehensive review and recommendation for the Python course available on Coursera: --- **Course Review: Mastering Python from Scratch to Advanced Level** If you are looking for a comprehensive and structured course that guides you from the basics of Python to advanced topics with practical code implementation, this Coursera course is an excellent choice. Designed to cater to learners at all levels, it provides a step-by-step learning experience covering essential Python concepts, libraries, data visualization, database connectivity, and even face recognition projects. **Course Content & Structure:** The course is well-organized into 11 detailed lectures, each building upon the previous one. It begins with Python fundamentals using IDLE and Google Colab, making it accessible for beginners and flexible for those who prefer cloud-based environments. Key topics include: - **Python Basics:** Variables, data types, operators, control statements, and code structure. - **Intermediate Concepts:** Functions, list manipulations, and debugging techniques. - **Data Handling & Visualization:** Utilizing Pandas for data structures like Series and DataFrames, with visualization tools like Matplotlib for creating insightful plots. - **Database Integration:** Connecting Python with MySQL databases, covering SQL commands for data manipulation and retrieval. - **Advanced Applications:** Face recognition project, which demonstrates practical application of machine learning techniques. Each lecture incorporates hands-on coding exercises, which reinforce learning and build confidence in applying Python to real-world problems. The inclusion of mini projects at the end of the course ensures a practical understanding and enhances your portfolio. **Pros:** - Covers both basic and advanced Python concepts comprehensively. - Practical code implementation in IDLE and Google Colab. - Hands-on mini projects including face recognition, which is highly valuable for aspiring data scientists and AI enthusiasts. - Suitable for beginners, yet detailed enough for more advanced learners. - Focus on data science, visualization, SQL, and real-world applications. **Cons:** - The volume of content may be overwhelming for absolute beginners without prior programming experience. - Requires dedication to complete all projects and exercises. **Who Should Enroll?** This course is highly recommended for aspiring data scientists, AI enthusiasts, or anyone interested in mastering Python for data analysis, visualization, and application development. It’s also ideal for those preparing for projects involving machine learning and AI. **Final Verdict & Recommendation:** I strongly recommend this course to anyone looking for a comprehensive Python learning experience with practical applications. Its thorough curriculum, combined with project-oriented teaching, makes it a valuable resource for acquiring in-demand skills in data science and programming. Whether you are a student, a professional looking to upskill, or an enthusiast eager to delve into AI projects like face recognition, this course will provide you with the knowledge, skills, and confidence to excel. Enroll now and embark on your Python mastery journey! --- Let me know if you'd like a shorter summary or specific focus areas!
This is an amazing course from A to Z which will be taking you from scratch level to advance one by one with a code implementation.This course covers from Python IDLE basic codes to Google colab code.It includes all basic as well as advance concepts like variable creation,simple and multiple numerical operations,conditional statements,loops,data visualization,pandas data structure,Data science, Sql Connectivity and Face Recognization.At the end of this course students will be getting a course work with many mini projects in the last lecture.This is a one stop course on Python which provides a perfect package covering all possible things in python Course Work-Lecture 11. Introduction to python2. Opening IDLE3. Writing first code on IDLE4. Accessing function 5. Simple and complex numerical's 6. Control Statements7. Saving and execution of code 8.Basics of Python programming9.Python interpreter - interactive and script mode10. The structure of a program, indentation, identifiers, keywords, constants, variables, types of operators, precedence of operators, data types, statements, expressions, evaluation of expressions, comments, input and output statements, data type conversion, debugging,Recapitalization and implementation of codes on Google Colab1. Introduction to google colab2. Installing and opening google colab 3. Writing first code 4. Accessing function 5. Simple and complex numerical's 6. Control Statements7. Saving and execution of code on google colabLecture 2-1. Implementation of conditional statements using 2 or more variables.2. Implementation of for loop,while loop using different possibilities3.Printing seriesLecture 3-1.Implementation of list.2.Functions on List3.Execution of ListList operations - creating, initializing, traversing and manipulating lists, list methods and built-in functions.: len(), list(), append(), extend(), insert(), count(), find(), remove(), pop(), reverse(), sort(), sorted(), min(), max(), sum()Lecture 4-Introduction to Python libraries- Pandas, Matplotlib. ● Data structures in Pandas - Series and data frames.Series: Creation of series from dictionary, scalar value; mathematical operations; series attributes, head and tail functions; selection, indexing and slicing.Lecture 5-Data Frames: Creation of data frames from dictionary of series, list of dictionaries, text/CSV files, display, iteration. Operations on rows and columns: add ( insert /append) , select, delete (drop column and row), rename, Head and Tail functions, indexing using labels, Boolean indexing.Lecture 6-Data Visualization: Purpose of plotting, drawing and saving of plots using Matplotlib (line plot, bar graph, histogram). Customizing plots:; adding label, title, and legend in plots.Lecture 7-Accessing ,uploading and reading csv files through python.-Structured Query Language: Data Definition Language, Data Query Language and Data Manipulation Language, Introduction to MySQL: Creating a database, using database, showing tables using MySQL, Data Types: char, varchar, int, float, date. -Data Definition Commands: CREATE, DROP, Data Query ,INSERT, UPDATE and DELETE.-Creation and doping of Databases-Connecting my sql to Python - Install sql connector,pip commands on google colab.-Face Recognization project at the end