what are the tools are used in data analyst

Question

Accepted Answer

Tools commonly used in data analysis include Excel, Python, R, SQL, Tableau, and Power BI.

Accepted Answer

1. Data Collection & Storage

SQL (Structured Query Language) – Query and manage databases

Microsoft Excel – Basic data storage and manipulation

Google Sheets – Cloud-based spreadsheet management

MongoDB – NoSQL database for unstructured data

Amazon Redshift / Google BigQuery / Snowflake – Cloud-based data warehouses

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2. Data Cleaning & Processing

Python (pandas, NumPy, OpenPyXL) – Data manipulation and analysis

R (dplyr, tidyr, stringr) – Statistical computing and cleaning

Alteryx – No-code data prep and automation

Microsoft Power Query – Data transformation tool in Excel and Power BI

Trifacta – AI-powered data preparation

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3. Data Analysis & Statistical Tools

SQL – Data querying and manipulation

Python (pandas, NumPy, SciPy, statsmodels) – Advanced data analysis

R (ggplot2, dplyr, caret) – Statistical analysis and machine learning

SPSS – Statistical analysis for research and business intelligence

SAS – Advanced analytics for enterprise solutions

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4. Data Visualization & Business Intelligence (BI) Tools

Tableau – Interactive dashboards and reports

Power BI – Microsoft’s business intelligence platform

Google Data Studio (Looker Studio) – Free data visualization tool

Excel (Pivot Tables, Charts, Power Pivot) – Basic visualization and reporting

Matplotlib & Seaborn (Python) – Advanced charting and visualization

D3.js – Custom, web-based data visualization

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