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Data analysis is no longer at the theoretical level, but needs to test and improve our ability through practical projects. General process of data analysis project Clear project objectives: Determine the purpose of the analysis, want to solve what is the problem. Data collection: Collect the required data from various sources, such as databases, documents, APIs, etc. Data cleaning: Clean the data, deal with missing values, abnormal values, inconsistencies, etc. Data exploration: Through visualization, statistical analysis, etc. methods, explore the characteristics and laws of data. Data modeling: Establish mathematical models, analyze and predict data. Evaluation results: evaluate the performance of the model, verify the effectiveness of the model. Presentation of results: The analysis results are presented in the form of charts, reports, etc., in order to understand and apply.
Data analysis project case study Electronics industry: Forecast sales Phone Number Movie grouping Shopping cart abandonment analysis Recommended system Financial Industry: Credit risk assessment Fraud detection Portfolio optimization Medical industry: Customer details Market Trend Analysis Evaluating advertising effectiveness Data analysis project skills Choose the appropriate tools: Python (Pandas, NumPy, Scikit-learn), R, SQL, Tableau, etc. are commonly used tools. Pay attention to data quality: data is the basis of analysis, the quality of data directly affects the results of analysis. Exploratory data analysis: Before modeling, fully explore the data and discover potential patterns. Model selection: Select the appropriate model according to the nature of the problem , such as linear regression, decision tree, random forest, etc.
Visualization of results: Use charts to visualize the results, show the analysis results even more. Continuous iteration: Data analysis is an iterative process. Data analysis project Kaggle: provides a variety of data analysis competition and datasets, is a good platform. Opens in a new window fr.m.wikipedia. org Kaggle logo Tianchi University Le Hua Hui Competition: The Da Dong Jiang Hua Hui Competition platform organized by Alibaba, provides rich real battle opportunities. GitHub: You can find many open source data analysis projects, learn other people's code. How to quickly improve data analysis Participating in the project: Contribute code, learn other people's code, improve quickly. Participate in data analysis competition: exercise your analytical ability and problem solving ability in the competition. Read academic papers: Learn the latest research results. Join data analysis community: Communicate with other data analysis enthusiasts , share progress. summary Data analysis project is the best way to improve data analysis ability.
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发表于 2024-9-23 12:15:35