1. "Who says a novice can't analyze data" not only clarifies some common analysis skills, but also uses some common knowledge of Excel and the position of data analysis in the company to easily master the skills of data analysis, which is also helpful for the understanding of the workplace.
2. "Easy-to-understand Data Analysis" Introduction to Data Analysis Volume 1. Similar to the vivid method of the novel, it vividly explains the basic process of data analysis, experimental methods, optimization methods/hypothesis testing methods/Bayesian accounting methods/and so on, so that readers can have a comprehensive understanding of the concept of analysis.
3.Excel charts tell readers how to plan and make professional and useful business charts with magazine quality. The author analyzes the wonderful chart examples in the world's top business magazines, such as Business Weekly and The Economist, and gives their completion methods based on Excel, including data charts, dynamic charts, dashboards and other high-end chart skills.
4.Excel is exposed to sorting, selection, function formula, pivot table, chart, macro and VBA.
And other functions, and combined with many enterprise application examples, the processing ideas and operation processes are presented one by one in an illustrated way.
As a data analyst, if you are only content with the status quo and don't pay attention to self-improvement, then in the near future, you may become the company's "human flesh" data retrieval machine, which will affect your future work and life.
5. "Big Data Analysis: A touch of stone turns into gold" introduces readers how to apply big data analysis to all walks of life. In this course, you will learn how to mine data, how to reveal trends from data, and how to turn them into competitive strategies and ways to gain value. These more interesting and effective methods can improve the intelligence level of enterprises, help enterprises solve practical problems, improve profit margins, improve productivity and find more business opportunities.
6. "Big Data Era" and "Big Data Era" are the first works of big data system research abroad. This book points out that the information storm brought by big data is changing our life, work and thinking. Big data has opened a major era change, and it tells the changes in thinking, business and management in the era of big data in three parts. The era of big data believes that the core of big data is prediction. Big data will create an unprecedented quantifiable dimension for human life. Big data has become a source of new inventions and services, and more changes are ready to go. The book shows valuable application cases of big data pioneers such as Google, Microsoft, IBM, Apple, facebook, twitter and VISA.
The above is the big data related content I compiled for you today. I hope it helps you. If you want to make achievements in the big data industry, you need to obtain some data analyst certificates with high gold content and keep learning, so that you can have more core competitiveness and competitive capital.
Interested in big data, you may wish to start by reading big data books! There are many free big data teaching videos on Shangxuetang's website and on the website, ranging from basic to advanced, which is quite good. The knowledge points are very detailed, and there is a complete version of the learning roadmap. You can also go and see for yourself and download and study.