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Udemy – Integrated Web and Data Skills: Build, Analyze ,and Innovate 2024-11
Published on: 2024-12-14 19:31:19
Categories: 28
Description
Integrated Web and Data Skills: Build, Analyze, and Innovate is a comprehensive course that equips you with a variety of skills in web development, data analytics, machine learning, and database management. It helps you progress from basic concepts to advanced, real-world applications in the technology world.
What you will learn in the Integrated Web and Data Skills: Build Analyze and Innovate course
- Understand the basics of front-end web development, including HTML, CSS, and JavaScript.
- Build responsive web pages with a strong understanding of HTML elements, attributes, and page structure.
- Apply CSS styling techniques to design visually appealing and user-friendly websites.
- Create interactive web pages using JavaScript for dynamic functions such as clocks, calculators, and quizzes.
- Implement a full-stack web application using the Django framework, including front-end and back-end components.
- Setting up and managing virtual environments for web development projects.
- Establish database connections and use SQL to store, retrieve, and manage data in web applications.
- Create and configure a user authentication system for secure web applications.
- Developing CRUD (Create, Read, Update, Delete) functionality in a web application.
- Build and use custom forms in Django to improve data handling.
- Use SQLite to design, implement, and query relational databases effectively.
- Understand and execute SQL queries to retrieve, filter, and sort data from databases.
- Apply advanced SQL commands such as joins, subqueries, and aggregate functions.
- Using Jupyter Notebook for Python development in data science and data analysis projects.
- Perform data manipulation with Pandas to clean, filter, and organize data.
- Effective data visualization using Python libraries such as Matplotlib and Seaborn.
- Performing data preprocessing steps such as handling missing data and encoding categorical variables.
- Understand the basics of machine learning, including supervised, unsupervised, and reinforcement learning.
- Load and review datasets to prepare for model training.
- Engineering and feature selection to build predictive models.
- Training and evaluating machine learning models, including logistic regression and decision trees.
- Using model evaluation metrics such as accuracy, confusion matrix, and classification report.
- Build interactive dashboards to visualize data to clearly communicate insights
This course is suitable for people who:
- Beginner web developers looking to build a strong foundation in HTML, CSS, JavaScript, and backend development with Python and Django.
- Data analysts and aspiring data scientists who want to expand their data skills with hands-on experience in data processing, visualization, and machine learning.
- People looking for a career change and interested in entering the world of technology, especially in the fields of web development, data analysis, or machine learning, are looking for a step-by-step, guided course to learn basic and advanced skills.
- Students and recent graduates in computer science, engineering, mathematics, or similar fields who want to increase their knowledge of web technologies and data skills to make themselves more competitive in the job market.
- Early-stage IT professionals (e.g., junior developers, software interns) who are looking to build a more diverse skill set in web development, data science, and database management.
- Tech and entertainment enthusiasts who are curious to learn about website building, data analysis, and machine learning in a structured and accessible format.
Course Description Integrated Web and Data Skills: Build Analyze and Innovate
Course headings
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Prerequisites for the Integrated Web and Data Skills: Build Analyze and Innovate course
- Basic Computer Skills: Familiarity with operating systems (Windows, macOS, or Linux), file management, and software installation.
- Computer: A laptop or desktop computer (Windows, macOS, or Linux) with at least 4GB RAM and a modern processor, although 8GB or more is recommended for data science tasks.
- Reliable Internet Connection
Course images
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Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: None
Quality: 720p
Download link
Download Part 1 – 1 GB
Download Part 2 – 1 GB
Download Part 3 – 1 GB
Download Part 4 – 1 GB
Download Part 5 – 506 MB
File(s) password: www.downloadly.ir
File size
4.5 GB
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