【2024年】十大資料分析課程熱門排行推薦與優惠精選！

課程介紹

通过本课程学习您可以学习到Python数据分析的如下知识：

第1章 数据分析一般过程：数据搜集、数据存取、数据清洗、数据分析、数据可视化。

第2章 房价数据搜集：网络爬取技术概述、赶集网房价数据爬取。

第3章 房价数据存取：Pandas数据库存取技术、赶集网房价数据存取。

第4章 房价数据清洗：处理缺失值、删除重复数据、统一数据格式。

第5章 房价数据分析：过滤数据、数据分组和聚合、数据透视表。

第6章 房价数据可视化：各区二手房均价可视化、各区二手房价综合情况可视化、各区二手房价受

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哪些人適合這堂課？

• 所有想从事Python数据分析人员
• 数据统计人员

學習目標

• 掌握Python数据分析过程
• 熟悉Python数据分析技术
• 消化吸收Python网络爬虫技术
• 消化吸收Python数据存取技术
• 消化吸收Python数据分析库（NumPy和Pandas）
• 消化吸收Python数据可视化库（Matplotlib和Seaborn）

課程介紹

這是一堂適合資料分析初學者的課程，透過這堂課程，我將快速的帶領同學從無到有，學會資料分析技術，課程中沒有艱澀難懂的演算法，高階程式語言技巧，我只教同學用得到的資料分析技術。這堂課程不同於傳統的教學方式，一般課程講師只用簡單、手動建立的資料做範例，但介紹的確是複雜難懂的程式功能，課程之後學生以為自己懂了，但確不知道如何應用。為了避免這樣的問題，我使用大量不同領域的資料做教學，這樣的教學方式讓同學上完這堂課程之後，你將會明確知道如何整理雜亂的資料，透過分析找出有用的知識，最後還能取得數十個豐富珍貴的

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哪些人適合這堂課？

• 初入資料分析領域的新鮮人
• 想理解資料科學方法與應用情境的專業人士
• 商學院背景，想學習資料科學的大學或研究所學生
• 程式語言初學者

學習目標

• 資料分析
• 資料視覺化
• Python 程式語言

課程介紹

Microsoft Excel is one of the most powerful and popular data analysis desktop application on the market today. Having a deep practical knowledge of Excel will greatly increase your productivity. You will be seen as a very skilled business data analys

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哪些人適合這堂課？

• Anyone who wants to learn to apply data analysis techniques using Excel
• Anyone who wants to become good at using Excel for data analysis
• Anyone who wants to learn the core concepts of data analysis in Excel
• Anyone who wants to learn about PowerPivot, Pivot Charts etc..

學習目標

• Understand and Identify the principles of data analysis
• Build presentation ready dashboards in Excel
• Apply analysis techniques to datasets in Excel
• Become adept at using Excel functions and techniques for analysis
• Learn how to use Pivot Tables and Pivot Charts to streamline your workflow in Excel
• Use effective design principles when creating and presenting data
• Learn about Excel’s Ubiquity And Strategic Importance as a BI Tool
• Learn about the Excel Data Model
• GeoFLow
• Working with External Databases
• Integration with Sharepoint

課程介紹

If you want to learn simple, effective techniques to create impactful Excel Dashboards and Data Analysis, this course is ideal. Updated in 2021 with full high definition video, this course teaches you practical skills you can apply in your work envir

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哪些人適合這堂課？

• All Business people who want to turn data into information
• Excel users who want to take their reporting and analysis to the next level
• Students who want to learn powerful methods of data analysis

學習目標

• Enjoy CLEAR and CONCISE step by step lessons from a best selling Udemy instructor in FULL HD 1080 P
• Transform Data into INSIGHT and INTELLIGENCE using powerful methods of analysis, techniques and tools
• Learn data analysis using easy to master drag and drop techniques – NO CONFUSING FORMULAS, macros or VBA
• Learn 8 different techniques for DATA ANALYSIS that can be easily implemented in Excel (2010 – Office 365)
• LIFE TIME ACCESS to course materials and practice activities from a BEST SELLING Udemy instructor
• Learn to ask the RIGHT questions of your data using comparison, trend, ranking, variance, pareto and many other techniques
• Learn BEST practices for data analysis and data presentation
• Learn BEST practices for the design and setup of INTERACTIVE dashboards

課程介紹

Ibadullah Khalil – 5 Stars

“A great instructor and guide for the course. All topics were well driven and to the point with no gibberish language used to make it difficult for the learners just like other instructors. A highly recommended course for

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哪些人適合這堂課？

• Anyone who wants to learn the core concepts of data analysis in the Excel environment
• Anyone who wants to learn to apply data analysis techniques using Excel
• Anyone who wants to become proficient at using Excel for data/business analysis
• Anyone who wants to be able to turn data into business insights in Excel
• Anyone who wants to be able to run simple to sophisticated analysis on data using Excel
• Anyone who wants to learn the most frequently used Excel functions and techniques used by analysts

學習目標

• Confidently use the most crucial Excel functions and techniques for analysis
• Correctly use the appropriate charts in Excel
• Apply analysis techniques to datasets in Excel
• Manipulate and prep datasets in Excel
• Build presentation ready dashboards in Excel
• Create your own formulas in Excel
• Turn real world data into business insights in Excel

課程介紹

Buff up your resume/CV and become interview-ready by learning real-world SQL in this course.

This SQL course has been taken by fine marketing and product folks at Google, Facebook, Amazon, Lyft, and Udemy.

Your Story:

Bill was looking to move int

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哪些人適合這堂課？

• Marketers
• Startup folks
• Non-technical folks
• Aspiring Data Analysts
• Recent College Grads
• Job-seekers
• Product Managers

學習目標

• Analyze user behavior
• Find actionable customer/business insights
• Make data-driven decisions
• Measure and track marketing efforts
• Discover sexy marketing stats (e.g. 1 in 4 people love toast!)

課程介紹

Student Testimonials:

The instructor knows the material, and has detailed explanation on every topic he discusses. Has clarity too, and warns students of potential pitfalls. He has a very logical explanation, and it is easy to follow him. I highly r

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哪些人適合這堂課？

• Data analysts and business analysts
• Excel users looking to learn a more powerful software for data analysis

學習目標

• Perform a multitude of data operations in Python’s popular “pandas” library including grouping, pivoting, joining and more!
• Learn hundreds of methods and attributes across numerous pandas objects
• Possess a strong understanding of manipulating 1D, 2D, and 3D data sets
• Resolve common issues in broken or incomplete data sets

課程介紹

PLEASE READ BEFORE ENROLLING: 

1.) THERE IS AN UPDATED VERSION OF THIS COURSE: 

“PYTHON FOR DATA SCIENCE AND MACHINE LEARNING BOOTCAMP” 

2.) IF YOU ARE A COMPLETE BEGINNER IN PYTHON-CHECK OUT MY OTHER COURSE “COMPLETE PYTHON MASTERCLASS JOURNEY

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哪些人適合這堂課？

• Anyone interested in learning more about python, data science, or data visualizations.
• Anyone interested about the rapidly expanding world of data science!

學習目標

• Have an intermediate skill level of Python programming.
• Use the Jupyter Notebook Environment.
• Use the numpy library to create and manipulate arrays.
• Use the pandas module with Python to create and structure data.
• Learn how to work with various data formats within python, including: JSON,HTML, and MS Excel Worksheets.
• Create data visualizations using matplotlib and the seaborn modules with python.
• Have a portfolio of various data analysis projects.

課程介紹

See why this is one of the TOP-RATED Excel courses on Udemy:

“One of the best Excel courses I’ve ever taken. You can see through his videos how passionate he is about Excel. Thanks for this awesome course, and count me in for the next ones!”

-Julio

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哪些人適合這堂課？

• Excel users who have basic skills but want to get really, REALLY good
• Anyone hoping to expand their analytics skill set, work more efficiently with data, and take their career to a new level
• Students looking for an engaging, hands-on, and highly interactive approach to Excel analytics training
• Excel users looking to build strong analytical thinking and business intelligence skills
• Anyone looking to pursue a career in data analysis or business intelligence

學習目標

• Learn how to THINK like Excel, and write powerful and dynamic Excel formulas from scratch
• Automate, streamline, and completely revolutionize your workflow with Excel
• Master unique tips, tools and case studies that you won’t find in ANY other course, guaranteed
• Explore fun, interactive, and highly effective lessons from a best-selling Excel instructor
• Get LIFETIME access to project files, quizzes, homework exercises, and 1-on-1 expert support
• Build Excel formulas to analyze dates, text fields, values and arrays

課程介紹

The Problem

Data scientist is one of the best suited professions to thrive this century. It is digital, programming-oriented, and analytical. Therefore, it comes as no surprise that the demand for data scientists has been surging in the job marketpl

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哪些人適合這堂課？

• You should take this course if you want to become a Data Scientist or if you want to learn about the field
• This course is for you if you want a great career
• The course is also ideal for beginners, as it starts from the fundamentals and gradually builds up your skills

學習目標

• The course provides the entire toolbox you need to become a data scientist
• Fill up your resume with in demand data science skills: Statistical analysis, Python programming with NumPy, pandas, matplotlib, and Seaborn, Advanced statistical analysis, Tableau, Machine Learning with stats models and scikit-learn, Deep learning with TensorFlow
• Impress interviewers by showing an understanding of the data science field
• Learn how to pre-process data
• Understand the mathematics behind Machine Learning (an absolute must which other courses don’t teach!)
• Start coding in Python and learn how to use it for statistical analysis
• Perform linear and logistic regressions in Python
• Carry out cluster and factor analysis
• Be able to create Machine Learning algorithms in Python, using NumPy, statsmodels and scikit-learn
• Apply your skills to real-life business cases
• Use state-of-the-art Deep Learning frameworks such as Google’s TensorFlowDevelop a business intuition while coding and solving tasks with big data
• Unfold the power of deep neural networks
• Improve Machine Learning algorithms by studying underfitting, overfitting, training, validation, n-fold cross validation, testing, and how hyperparameters could improve performance
• Warm up your fingers as you will be eager to apply everything you have learned here to more and more real-life situations