I haven't shared programming resource benefits with fans for a while, and I looked at my own network disk, and only the good Python learning materials I think are left. I believe this set of materials can be helpful to you as a big data analysis engineer!
Send you a study road map + introductory course materials + high-frequency interview questions from Dachang + online live class learning, these materials are enough to test whether I am suitable for learning data analysis!
With the popularization of artificial intelligence, I have always wanted to find a job that will not be replaced by robots . After going through something and drawing three conclusions, I decided to transform into a data analyst:
1. Data analysis, large job gap, good salary
According to a McKinsey report: The current data talent gap is between 140,000 and 190,000, and the data analysis job gap on how to use big data to make decisions will reach 150,000! For data analysis talents, companies are also willing to offer enviable salaries.
2. Data analysis skills are essential skills in the workplace
Maybe you haven't dealt with data directly, but your boss must have begun to pay attention to data and think about optimizing business structure through data.
Furthermore, a large number of companies are turning to data-driven. Facing data analysis and mining, others have no clue. If you can give a clear idea and solution at this time, you will truly realize that data analysis capabilities Let your technical career in the next 10 years be easy.
3. Data analysts are hard to be replaced by artificial intelligence
In essence, artificial intelligence fights against inefficiency, and data analysis carries various uncertainties. When we want to analyze a problem, we are faced with no data, false data, artificial distortion, no judgment, and subjective judgment. .... This must involve the participation of people, and from the various complicated data to see the doorway, gain insights into the market, products, and consumers .
Real case project operation , 10+ project cases, 15+ statistical graphics display, 10+ mining algorithm application, each can be displayed as an interview work !
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