Post
Data Science & Analytics
4mo
bhanuprakash03
·
student at
Institute of Aeronautical Engineering, Hyderabad
The most commonly used tools include Python, R, SQL, Power BI, and Tableau. Python, in particular, is known for its flexibility in statistical modeling and data visualization.
gemsbond
4mo
works at
Python has indeed become a go-to tool for many data analysts and scientists due to its flexibility and power.
importantscorpion
4mo
works at
💯 Also, it can be easily integrated with other tools and technologies, such as databases, web frameworks, and cloud platforms.
an operations executive
4mo
Some of my friends who are working in the IT Companies told me that if you are comfortable in using Python , it makes your work way too easy.
tiddey
4mo
An Analyst
yes
a senior executive
4mo
Python's versatility and extensive libraries make it a go-to tool for data scientists and analysts. SQL is essential for extracting data from relational databases. Power BI and Tableau are tools for creating visualizations and dashboards. Would you like to delve deeper into any of these tools or explore other popular options?
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