What are the topics we need to study in aptitude for a Data Analysts course?
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1 Answer
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Probably, preparatory sections of aptitude tests in data analyst programs will be as follows:
1. Mathematics: Percentages, Ratios, Probability, Algebra.
2. Logical Reasoning: Problem-solving, Puzzles, Patterns.
3. Statistics: Mean, Median, Mode, and Data Distribution.
4. Data Interpretation: Reading graphs, tables and charts.
Introduction to Programming: Basic Training in Python, SQL, or R.
Critical Thinking: Infer from Datasets and Generate Insights.
These listed below are the core building blocks towards the accumulation of analytical skills towards becoming a data analyst.
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