This involves operations such as managing missing values, outliers, and inconsistencies.
Statistical Analysis: Learning basic statistical principles and methods is of paramount importance when analyzing data.
This entails descriptive statistics, hypothesis testing, and regression analysis.
Courses include tools such as Excel, Tableau, and Python libraries for developing informative charts and graphs.
Programming Languages: Most data analysis courses include programming languages such as Python or R,
which are used for data analysis and manipulation extensively.
Machine Learning: Advanced courses can include machine learning methods, such as supervised and unsupervised learning,
for the construction of predictive models.
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