Name some tools useful for data analysis.

Data analysts often use tools like Excel, SPSS, SAS, Tableau, R, Python, and more.

What are the different steps involved in data analysis?

The steps involved in data analysis are data preparation, exploration, modeling, and model evaluation. Data preparation involves cleaning and formatting the data so that it can be used for analysis. Data exploration focuses on exploring the data to look for patterns and relationships. Data modeling involves building models to predict future events or outcomes. Model evaluation involves assessing the accuracy of the models.

Is data analysis a promising field for freshers?

This can depend on various factors, ranging from your skills and experience to the specific industry you're interested in pursuing. However, data analysis can be an excellent field for freshers as it offers many opportunities for growth and development. Additionally, data analysts play a critical role in helping businesses make sense of their data and make better decisions, so there is always a demand for skilled professionals in this field. If you're motivated and passionate about working with data, then a career in data analysis could be gratifying.

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