The basic tools for Data Analytics are what?

Answer 1

"What is the simplest ML Project I can work on?"

Use sports, e-sports, crime or health sites, scrape some data, plot it and use it to make some predictions 👍😁

Answer 2

Python, pandas, numpy, scikit-learn, matplotlib, nltk as a start... keras and tensorflow can be supplemented as well

Answer 3

What is the simplest ML Project I can work on?

Answer 4

Here are the basic tools for Data Analytics that every beginner and professional should know:

Excel – Still the most widely used tool for basic data cleaning, visualization, and analysis.

SQL – Essential for querying and managing data in relational databases.

Python – Popular programming language with libraries like Pandas, NumPy, Matplotlib, and Scikit-learn.

R – Specialized for statistical analysis, data modeling, and visualization.

Tableau / Power BI – User-friendly tools for creating dashboards and data visualizations.

Google Analytics – Key for digital marketing and web traffic insights.

SAS – Used in advanced statistical modeling (especially in finance and healthcare).

These tools form the foundation of modern data analytics workflows.