"Universal Data Analysis Rules" master the essence of analytical thinking and master various business scenarios
| Course Background In the era of big data, data analysis is an increasingly important skill. How to conduct effective analysis in different industries and business scenarios? What is examined is the practitioner's data analysis thinking, that is, the ability to use data analysis skills. Having the right data analysis mindset will not only allow you to handle various types of analysis needs with ease, but also make your work more efficient. What will you learn? There is no professional or tool threshold for studying this column. In order to enable you to better equip yourself with data analysis thinking, the following three modules will be explained to you: Module 1 Basic skills of data analysis thinking: how to set correct analysis goals based on the business, how to determine indicators from massive data, how to analyze more logically... These thinking preparations are the basis. After completing this module, your data analysis will be more objective and rigorous, and more effective for your business. Module 2: Business data analysis framework common to all industries: This module will take you through the entire business analysis process, including defining problems, breaking down problems, analyzing causes, making reports, and making recommendations. You will understand the correct way to use data analysis to solve business problems and apply it in your own analysis work. Module Three: Analysis of Mainstream Analysis Cases in the Internet Industry: This module selects the most commonly used analysis cases in the Internet industry, such as product analysis, conversion analysis, activity analysis, and user growth. Through the analysis of these industry's popular analysis cases, you can make up for your lack of practical experience. Course Catalog Module 1: Basic skills of data analysis thinking 01 | Goal-oriented: How to get out of the vicious circle of data collection? 02 | Objective and rigorous: facts + argumentation process + opinions to create high-level analysis 03 | Indicator thinking: How to understand the various types of indicators 04 | Logical reasoning: What does the logical thinking ability in the recruitment requirements mean? 05 | System structure: Look at the problem from a perspective beyond the problem itself and let your analysis get to the point 06 | Understand the business: Make sure your analysis results are in sync with the business side and leadership 07 | Understand the user: Data analysis + user thinking = refined operations Module 2: Universal business problem analysis framework 08 | Analysis process: General process for business data analysis 09 | Define the problem: How to define the problem and get through the analysis ideas? 10 | Disassembly problem: Why do we always disassemble a bunch of useless data? 11 | Find out the cause: There are so many causes of the problem, which one is the most critical? 12 | Make suggestions: What are valuable suggestions? 13 | Report Writing: How to write a data analysis report efficiently? 14 | Advanced analysis framework: other common analysis processes (prediction/competition/user/mathematical modeling) Module 3: Practical examples of various types of analysis 15 | Product analysis: How to increase the next-day retention rate of a certain function by 10%? 16 | Conversion Analysis: How to improve product purchase conversion rate? 17 | Activity Analysis: How to analyze activity results and provide effective suggestions? 18 | User growth: Identify key behaviors that quickly increase the number of users 19 | AB testing: Evaluate and optimize the effectiveness of AB testing Easter Eggs Easter Egg 1 | Data operations: How to build a data operations system? Easter Egg 2 | Interview: Interview Guide for Business Data Analysts Conclusion Conclusion | In-depth business and continuous learning |
<<: Three tips for operating corporate Toutiao accounts!
>>: How to plan a community event with no experience?
Recommend
The ultimate state of lying flat: eating once a year and taking a shit once a year
I often see people joking online that deep-sea cr...
The dirty tricks ransomware uses to fool us
[[167210]] Finding ransomware... Today, ransomwar...
Don't rush to upgrade to 5G, this operation can make your 4G speed 10 times faster
Remember that at the beginning of this month, 5G ...
What are the functions of the dry cleaners’ WeChat ordering mini program? How much does it usually cost to develop a laundry app?
As people's quality of life continues to impro...
Inventory: AppStore promotion channels and effects (dry stuff)
Abstract : This... where should I start~~ Hey! I c...
Help! How can the virus he draws be so beautiful!!!
On Earth, the interconnected roads, the densely p...
The basic data knowledge that designers need to master has been summarized for you by experts from big companies!
Preface In vivo's professional course system ...
Keep these 3 money-saving tips in mind to help you control your spending (theoretically)
At this point...how are your wallet and hands? Th...
How many degrees did Nezha need to melt the goddess Shiji? Scientific interpretation: At least this number!
Recently, the movie "Nezha: The Devil Boy Co...
After getting the iPhone X, be sure to try these new features that others don’t have
After the pre-sale ended and the price experience...
Bloggers must mark! A complete guide to hot topics on Xiaohongshu!
Last week, I updated a tweet about how bloggers o...
The "Pink Static Electricity" True Love Challenge is a Hit! Is there any scientific basis behind it?
Review expert: Zhou Hongzhi, senior laboratory te...
Bloomberg: China's electric vehicle companies' deliveries increased by 85% year-on-year in early 2024
Recently, Bloomberg News published an article say...
Family! Microwave ovens can really cook, and they are healthier than boiling water
Nowadays, various popular small household applian...
Automating the building of Android and iOS apps with Jenkins
background As business needs evolve, the complexi...