[Free] Khoá học Data Visualization miễn phí

Chia sẻ tổng hợp Khoá học Data Visualization (full) và miễn phí, cập nhật liên tục 2024.

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Khoá học Data Visualization là gì?

Khóa học về trực quan hóa dữ liệu thường tập trung vào việc giảng dạy cách hiển thị và truyền đạt thông tin một cách hiệu quả thông qua các phương tiện trực quan. Các chủ đề trong khóa học có thể bao gồm:

Nguyên tắc cơ bản của trực quan hóa dữ liệu: Nắm vững các nguyên tắc cơ bản như chọn lựa biểu đồ và đồ thị phù hợp, giải thích dữ liệu một cách chính xác và thiết kế trực quan hóa hiệu quả.
Công cụ và phần mềm: Học cách sử dụng các công cụ và phần mềm phổ biến như Tableau, Power BI, Excel, hoặc ngôn ngữ lập trình như Python (với Matplotlib, Seaborn, Plotly) và R (với ggplot2).
Chuẩn bị dữ liệu: Xử lý và làm sạch dữ liệu, xử lý giá trị còn thiếu và chuyển đổi dữ liệu để phù hợp với trình bày.
Hình ảnh tương tác: Tạo hình ảnh tương tác để người dùng có thể khám phá và tương tác với dữ liệu.
Kể chuyện qua dữ liệu: Hiểu cách kể chuyện thông qua dữ liệu, làm nổi bật tầm quan trọng của câu chuyện rõ ràng và hình ảnh trực quan để truyền đạt thông tin chi tiết.
Lý thuyết màu sắc và nguyên tắc thiết kế: Khám phá sự lựa chọn màu sắc, yếu tố thiết kế và nguyên tắc để tạo ra hình ảnh trực quan hấp dẫn và hiệu quả.
Nghiên cứu điển hình và ứng dụng thực tế: Phân tích ví dụ và nghiên cứu trong thực tế để hiểu cách sử dụng trực quan hóa dữ liệu trong các ngành và ứng dụng khác nhau.
Cân nhắc đạo đức: Thảo luận về mặt đạo đức của trực quan hóa dữ liệu, bao gồm tránh trình bày thông tin sai lệch và đảm bảo tính minh bạch.

Các khóa học có thể khác nhau về độ sâu và độ phức tạp, phù hợp cho người mới học cũng như những người có kỹ năng nâng cao hơn. Chúng có thể được tổ chức bởi trường đại học, các nền tảng trực tuyến hoặc tổ chức đào tạo. Một số khóa học có thể cấp chứng chỉ sau khi hoàn thành, chứng minh mức độ thành thạo về kỹ thuật trực quan hóa dữ liệu.

Chia sẻ Khoá học Data Visualization free

Dưới đây mình sẽ chia sẻ link đăng ký ưu đãi sử dụng vĩnh viễn các Khoá học Data Visualization từ các nền tảng đào tạo trực tuyến như Udemy,.com,…

Link đăng ký là miễn phí truy cập vĩnh viễn (bao gồm lấy chứng chỉ). Đối với Udemy, các bạn có thể tham khảo các đăng ký khóa học Udemy miễn phí ở bài viết sau:

Cách tạo tài khoản Udemy có hàng nghìn khóa học miễn phí

Data Analytics & Visualization: Using Excel and Python

Unlocking Insights through Data: Mastering Analytics and Visualization for In-Demand Tech Proficiency. source: udemy.com

17 hours on-demand video
Assignments
35 downloadable resources
Access on mobile and TV
Full lifetime access
Certificate of completion

“What you’ll learn

Real-world use cases of Python and its versatility.
Installation of Python on both Mac and Windows operating systems.
Fundamentals of programming with Python, including variables and data types.
Working with various operators in Python to perform operations.
Fundamental concepts and importance of statistics in various fields.
How to use statistics for effective data analysis and decision-making.
Introduction to Python for statistical analysis, including data manipulation and visualization.

Embark on a transformative journey into the dynamic realm of Data Analytics and Visualization, where you will acquire essential and sought-after tech skills. This comprehensive course is designed to empower you with proficiency in key tools and methodologies, including Python programming, Excel, statistical analysis, data analysis, and data visualization.

Key Learning Objectives:

– Gain hands-on experience in Python, a powerful and versatile programming language widely used for data analysis and manipulation.

– Learn to leverage Python libraries such as Pandas and NumPy for efficient data handling and manipulation.

– Develop advanced skills in Excel, exploring its robust features for data organization, analysis, and visualization.

– Harness the power of Excel functions and formulas to extract insights from complex datasets.

– Acquire a solid foundation in statistical concepts and techniques essential for making informed decisions based on data.

– Apply statistical methods to interpret and draw meaningful conclusions from data sets.

– Explore the entire data analysis process, from data cleaning and preprocessing to exploratory data analysis (EDA) and feature engineering.

– Learn how to identify patterns, outliers, and trends within datasets, enabling you to extract valuable insights.

– Master the art of presenting data visually through a variety of visualization tools and techniques.

– Use industry-standard tools like Matplotlib and Seaborn to create compelling and informative data visualizations.

Upon completion, you will possess a well-rounded skill set in data analytics and visualization, equipping you to tackle real-world challenges and contribute meaningfully to data-driven decision-making in any professional setting. Join us on this journey to become a proficient and sought-after tech professional in the field of data analytics and visualization.

Who this course is for:

Beginners with no prior programming experience.
Students or professionals in various fields, including business, science, social sciences, and healthcare, who want to enhance their data analysis skills.
Anyone interested in automating tasks or data analysis.
Data analysts, researchers, and scientists seeking to strengthen their statistical foundations and Python programming skills.
Beginners with no prior statistical knowledge but with a curiosity to learn and apply statistical methods.
Professionals looking to advance their career by acquiring valuable statistical and data analysis skills.”

source: udemy.com

Link đăng ký miễn phí vĩnh viễn dành cho 120 đăng ký đầu tiên trong hôm nay (free for 120 enrolls today), 09.01.2024: https://www.udemy.com/course/data-analytics-visualization-acquire-demanded-tech-skills/?couponCode=C4BF5BEDDD0E707967A4

Data Visualization in Tableau & Python (2 Courses in 1)

Learn Data Visualization with Tableau & Python from the basic to advanced level using Real-Life Projects. source: udemy.com

“What you’ll learn

Understanding the principles of data visualization
Proficiency in Tableau
Data preparation and manipulation
Creating static visualizations with Matplotlib
Exploratory data analysis with Seaborn
Designing interactive visualizations
Visual storytelling and communication
Critically evaluating visualizations
Project-based learning” source: udemy.com

“Course Features:

Practical Approach: This course focuses on hands-on learning through practical exercises and real-world examples. You will work on various datasets, allowing you to apply the concepts and techniques learned directly to relevant scenarios.
Comprehensive Coverage: The course covers both Tableau and Python libraries, providing you with a well-rounded understanding of data visualization. You will learn the fundamentals of each tool and progressively advance to more advanced techniques, ensuring a thorough grasp of the subject matter.
Tableau Proficiency: You will gain proficiency in Tableau, a widely used data visualization tool. Starting with the basics, you will learn to create interactive dashboards, design captivating visualizations, and explore advanced functionalities for data analysis and storytelling.
Python Visualization: Explore the capabilities of Python libraries, Matplotlib and Seaborn, for data visualization. You will learn to create static visualizations, customize plots, handle data manipulation, and leverage advanced statistical visualization techniques.
Data Preparation and Cleaning: An essential aspect of data visualization is data preparation. This course covers techniques for data cleaning, manipulation, and transformation to ensure high-quality data for visualization purposes.
Storytelling and Communication: Learn how to tell compelling stories through data visualization. Discover effective techniques for communicating insights visually and creating impactful narratives that engage and persuade your audience.
Real-World Projects: Apply your skills to real-world projects and datasets, allowing you to showcase your abilities and build a portfolio of impressive visualizations. Gain practical experience and confidence in creating visualizations that address real-world challenges.
Support and Resources: The course provides continuous support through Q&A sessions and a dedicated community forum, where you can interact with the instructor and fellow learners. Additional resources, such as code samples, datasets, and reference materials, will be provided to supplement your learning.
Lifetime Access: Gain lifetime access to the course materials, including updates and new content. You can revisit the course anytime to refresh your knowledge, access new resources, and stay up-to-date with the latest advancements in data visualization.
Certificate of Completion: Upon completing the course, you will receive a certificate of completion, validating your skills in data visualization with Tableau and Python libraries.

Whether you are a data analyst, data scientist, business professional, researcher, or anyone interested in mastering data visualization, this course will equip you with the necessary tools and knowledge to create impactful visualizations that drive insights and enhance data-driven decision-making.” source: udemy.com

Link đăng ký miễn phí vĩnh viễn dành cho 120 đăng ký đầu tiên trong hôm nay (free for 120 enrolls today), 11.01.2024: https://www.udemy.com/course/2023-data-visualization-in-tableau-python-2-courses-in-1/?couponCode=2C2FEC6C88459234776C

New Methods in Data Visualization with Python

Step-by-step training for 3D and advanced visualization in python and Matplotlib (with all the codes). source: udemy.com

Chia sẻ Khoá học Data Visualization online miễn phí — Chia sẻ Link đăng ký Khoá học Data Visualization online miễn phí

3.5 hours on-demand video
16 articles
15 downloadable resources

What you’ll learn

“Designing and illustrating figures and plots in 3D
Familiarity with Python libraries for data visualization
Knowledge of new and practical diagrams to visualize data in different fields
Create functions needed to draw plots professionally
Familiarity with creating, collecting and preparing data for visualization

Due to the importance of data visualization, there are many pieces of training on this subject that teach basic and preliminary data visualization. But in this course, we will teach you how to visualize your data in an advanced way in Python. In this course, we even teach 3D visualization so that you can specifically visualize your data and draw graphs using Python codes.

You can use this course to visualize your data for managers, scientific papers, work projects, university classes, personal websites, and even advertisements.

In today’s world, a lot of data is being generated on a daily basis. And sometimes to analyze this data for certain trends, and patterns may become difficult if the data is in its raw format. To overcome this data visualization comes into play. Data visualization provides a good, organized pictorial representation of the data which makes it easier to understand, observe, and analyze. In this course, we will discuss how to advanced visualize data using Python.

This is just one demonstration of the usefulness of data visualization that makes it so popular in data science. Let’s see some more reasons why data visualization is so important:

Data Visualization Discovers the Trends in Data
Data Visualization is Interactive
Data Visualization Provides a Perspective on the Data
Data Visualization Explains a Data Process
Data Visualization Strokes the Imagination
Data Visualization Tells a Data Story
Data Visualization Puts the Data into the Correct Context
Data Visualization is Educational for Users
Data Visualization Saves Time
Data Visualization Presents Data Beautifully

All of these reasons demonstrate the importance of data visualization in data science. Basically, it is a much more user-friendly method to understand the data and also demonstrates the trends and patterns in the data to other people. And it doesn’t hurt that data visualization is beautiful to look at and so more appealing to people than rows of boring data!”

source: udemy.com

Link đăng ký miễn phí vĩnh viễn dành cho 120 đăng ký đầu tiên trong hôm nay (free for 120 enrolls today), trong ngày 21/2/2024: https://www.udemy.com/course/advanced-data-visualization-with-python/?couponCode=EE7BF841B2F17C627613

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