Data analysis of this bowl of rice, how to eat?

Why learn Python data analysis?

Artificial intelligence, the advent of the era of big data, so that data has become a scarce resource, and data analysis, can help you make good use of this scarce resource;

Data analysis is the cornerstone of all action, it is your guiding light;

Machine learning, deep learning in recruitment, often have the threshold of education, almost all are master's degree start, but the data analysis is very loose, the most important thing is to master good skills;

The demand for related jobs in data analysis is increasing year by year and has become a part that cannot be ignored

At the same time, in the actual work, many students also need to be exposed to data analysis work, and even some students will try to use a variety of data analysis tools to analyze, it is not easy to do a data analysis report, but because many of the analysis is surface engineering, not in-depth data behind, so that the final analysis conclusions are all rely on "beating the head"! Leading colleagues are not aware of this, but also face-to-face communication to spend a lot of unnecessary time, inefficient not to say, may also be criticized.

So how on earth should we avoid "head-scratching" data analysis and how to better grasp the more scientific methods of data analysis?

Based on this, w3cschool recommends the Python 3 Advanced: Data Analysis and Visualization course for students who want to get started with data analysis.

The course starts with Python's basic knowledge of controlling, processing, organizing and analyzing structured data, and through some practical cases, students learn to use various Python libraries to efficiently solve a wide variety of data analysis problems and form effective conclusions and solutions.

Stamp this to start the trial: Python 3 Advanced: Data Analysis and Visualization