Minimum Package For Entry Level Data Analyst

Minimum Package For Entry Level Data Analyst 


As a fresher in a data analyst job, it's important to have a solid foundation in key data analysis packages and tools. Here are some commonly used packages that you should consider learning:


Python: Python is a widely used programming language in the field of data analysis. You should be proficient in libraries such as NumPy (for numerical computing), pandas (for data manipulation and analysis), and matplotlib or Seaborn (for data visualization). Additionally, learning the basics of the Scikit-learn library for machine learning tasks can be beneficial.


SQL: Structured Query Language (SQL) is essential for working with relational databases. You should have a good understanding of SQL syntax, as it will help you retrieve, manipulate, and analyze data stored in databases efficiently. MySQL, PostgreSQL, or SQLite are popular database management systems to start with.


R: R is another widely used programming language for statistical analysis and data visualization. It has numerous packages specifically designed for data analysis, such as dplyr (for data manipulation), ggplot2 (for data visualization), and tidyr (for data tidying).


Excel: Microsoft Excel is a fundamental tool for data analysis. You should be comfortable with data cleaning, filtering, sorting, and basic statistical functions within Excel. Knowledge of advanced functions like VLOOKUP, PivotTables, and macros can be an added advantage.


Tableau or Power BI: Learning a data visualization tool like Tableau or Microsoft Power BI can greatly enhance your data presentation skills. These tools allow you to create interactive and insightful visualizations, which are crucial for effectively communicating data-driven insights.


Data Analyst salary in India with less than 1 year of experience to 6 years ranges from ₹ 1.6 Lakhs to ₹ 11.6 Lakhs with an average annual salary of ₹ 4.1 Lakhs based on 67.2k latest salaries.

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