Comprehensive Guide and Learning Path for Data Analysis(Practical Data Analysis 1)
Unlock the power of data analysis! Learn data collection, mining, and visualization techniques with practical tools and real-world projects for success.
Welcome to the "Practical Data Analysis" Series
Today, our learning journey officially begins. I want to first give you a comprehensive view of data analysis, so you can better understand the upcoming lessons.
By now, you already know the importance of data analysis in modern society.
Mastering data means mastering patterns.
When you understand market data and analyze it, you can uncover market patterns.
When you analyze the data of a product, you can learn about its user sources, user profiles, and more. So, data offers a whole new perspective.
Data analysis is so important; it’s not only the "data structure + algorithm" of the new era but also a key area where companies compete for talent.
What do we talk about when we talk about data analysis?
Here, I can divide data analysis into three important components:
Data Collection. This is our raw material and the most "down-to-earth" part because any analysis needs a data source.
Data Mining. This can be considered the most "prestigious" part and is where the business value lies. The purpose of data analysis is to find patterns and guide our business decisions. The core of data mining is uncovering the business value, which is what we refer to as Business Intelligence (BI).
Data Visualization. This is the "all-purpose" skill in the data field, allowing us to understand the results of data analysis intuitively.
Let me explain these three important parts one by one.