How to Cultivate Your Data Analysis Thinking?(Practical Data Analysis 27)
Learn how to develop a data analysis mindset with practical tools like Python web scraping, visualization, and lifeline analysis to spot patterns and improve efficiency.
Welcome to the "Practical Data Analysis" Series.
Data analysis can be a profession, a job, or a way of thinking. In this column, we focus more on explaining the use of data analysis tools.
From Python web scraping to Python visualization, data cleaning, and data mining algorithms, in our daily work, it's important not only to master these tools but also to cultivate a data analysis mindset.
Developing a data analysis mindset is not only helpful for finding a job related to data analysis, but it can also be beneficial in daily life.
Today's content will be shared from the following aspects:
Let's play a game about a "lifeline." You can think of a lifeline as data visualization; what patterns can you discover from it?
What should you do when you want to know the answer to something but don’t know where to start? Learn to ask questions. A good question is a good starting point. When feeling lost, starting with a question may be helpful.
"I also have some thoughts on data analysis, but my efficiency isn't very high. Is there a way to improve it?" Sharing is the fastest way to grow. Reverse feedback helps us reach convergence faster.
"I know that developing a data analysis mindset is important, but what should I do if I'm too busy with work?"