Data is becoming more and more common, ranging from the social network, consumption information, movement trajectory of each of us... as large as the sales and operation data of the company, the production data of the product, the traffic network data...
How to obtain knowledge that is invisible to others from massive data, how to use data to arm marketing work, optimize products, user research, and support decision-making. Data analysis can maximize the value of data.
So whether you do product, operation, HR, finance, or research and development, system architecture, data analysis is a basic skill in countless scenarios. It is not a position, but a skill.
Therefore, we will say that learning data analysis, no matter what your career goals are, is basically necessary and will not be out of date.
But when it comes to data analysis, many people feel that there is no way to start. The scattered knowledge is always incapable of grasping the key points. It is quite difficult to learn, often clueless and confused about key data. Some people feel that they have spent a lot of money and applied for a lot of courses, but with little effect.
So, how can Xiaobai quickly gain the ability to analyze data? There are many book lists on Zhihu, and you may have heard many learning methods, but after trying it, you know that these have nothing to do with efficiency.
Based on this editor, I have compiled some data analysis learning content and recommend it to you!
You can get all the information today for only 0 yuan! Free learning video + documentation!
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In addition, I also summarized some necessary skills for data analysis, I hope it can help you.
1. Three Musketeers of Data Analysis
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Nump multidimensional array creation and processing
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Detailed explanation of linear functions and matrices
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Pandas data structure
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Gaussian distribution, chi-square distribution
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Drawing mechanism under Pandas
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Matplotlib drawing process and method
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Data loading, cleaning, storage, conversion, merging, reshaping and other multi-dimensional analysis
Two, MySQL
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Multiple database characteristics and application scenarios
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MySQL combat
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MySQL Getting Started Guide
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MySQL multi-platform installation and deployment
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MySQL visualization tools and data import and export
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Multi-table relationship design and field constraints
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SQL implementation of sales task dispatch system
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Three, visualized package technical finishing
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Use Django to build web projects and web interface display
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The communication principle between browser and WEB server
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Association principle of routing, view, template, model
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Seaborn various map drawing
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Tableau worksheets, dashboards, detailed stories
4. Summary of quantitative analysis data
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Mathematical modeling
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Optimal design of can shape and size
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Detailed algorithm
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"Buy it Now" strategy
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Research on Financial Quality Factors
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Evaluation standard of algorithm model
Five, Hadoop comprehensive analysis
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Hadoop principle
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Detailed MapReduce and Python Programming
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Principle Analysis of Cascaded MapReduce
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Combiner analysis
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Spark principle analysis
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SparkSQL distributed and SQL query engine analysis
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Link speed stamp: https://t.csdnimg.cn/r3Pv