Data Analyst Written Exam Questions:

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Common Test Points and Preparation Suggestions The written exam questions for data analysts are designed to test the applicants' data analysis ability, programming ability, business understanding ability, and mastery of statistical knowledge. Below, let's take a look at the common test points and preparation suggestions. Common Test Points 1. Basic Statistics Descriptive Statistics: mean, median, mode, variance, standard deviation, distribution, etc.
Probability Theory: Probability distribution (normal distribution, binomial distribution, etc.), hypothesis testing Email List confidence interval, etc. Statistical Inference: Regression Analysis, Variance Analysis, Time Series Analysis, etc. 2. Programming Ability Python/R: Data cleaning, conversion, analysis, visualization and other operations.




SQL: Database query, data processing. Machine Learning: Principles and applications of common algorithms (linear regression, logistic regression, decision tree, etc.). 3. Data Analysis Process Business Understanding: How to determine the analysis goals based on business problems. Data Acquisition: How to obtain data from different data sources. Data Cleaning: How to deal with missing values, outliers, data type conversion and other issues. Data exploration: How to explore data features through visualization and other means. Model building: How to choose a suitable model for modeling. Model evaluation: How to evaluate the performance of the model. 4. Business understanding Industry knowledge: Understanding of the business knowledge of the industry you are applying for. Index system: Common business indicators and their meanings.