Introduction

Data science tools are among the most popular tools for managing data effectively and obtaining insightful information that will improve customer engagement. It is well known that many data and technology companies, such as MAANG (Meta, Apple, Amazon, Netflix, and Google), allow data scientists to use various data science tools. Tech companies and MAANG must thoroughly understand customer behavior in this data-driven market.

Data Science Tools

1. Apache Hadoop:

Data science tools are among the most popular tools for managing data effectively and obtaining insightful information that will improve customer engagement. It is well known that many data and technology companies, such as MAANG (Meta, Apple, Amazon, Netflix, and Google), permit data scientists to use various data science tools. Tech companies and MAANG must thoroughly understand customer behavior in this data-driven market.

2. Tableau

Data scientists working for tech and MAANG companies can use Tableau to delve deeply into pertinent data, uncover insightful patterns, and visually tell a compelling narrative about the findings. Effective data management across a variety of data sources is facilitated by it. Tableau Data Management, Tableau Desktop, Tableau Pre Builder, Tableau Cloud, and many other products for data scientists are used by MAANG in conjunction with this data science tool for data visualization which can be mastered with the best data science certification course in Mumbai. 

3. Jupyter Notebook

Jupyter Classic Notebook and JupyterLab are the two types of data science tools that MAANG employs. Jupyter Notebook, an open-source web application for interactive computational environments, is a well-liked data science tool for tech companies. Documents that combine inputs and outputs into a single file have been produced by it. It is advantageous to combine code and output using a number of steps.

4. Tensorflow

TensorFlow's best data science tool offers different levels of abstraction for creating and honing machine learning models using the sophisticated Keras API. It offers a variety of tools, such as Colab, TensorBoard, ML Perf, What-If Tool, and many others, to enhance workflow. Eager execution allows for quick iteration and intuitive debugging, which is ideal for data scientists who need more flexibility. Tech companies can use the distribution strategy API to distribute training across different hardware setups.

5. Rapid Miner

RapidMiner is a data science platform that is MAANG-ready and offers knowledge and pertinent data for a revolutionary competitive edge. The entire analytics lifecycle is supported, including model creation, model maintenance, the creation of AI applications, collaboration and governance, trust and transparency, and data engineering. Enterprise AI must be reimagined to efficiently and effectively shape business objectives.

6. OpenCV

Data scientists in MAANG companies use OpenCV, also known as the Open Source Computer Vision Library, which is a well-known data science tool. It is regarded as a large tech company's open-source computer vision and machine learning software library. The goal was to offer a standard infrastructure for computer vision applications with a BSD-licensed product. It contains more than 2500 enhanced algorithms for a variety of tasks, including face detection and object recognition. It also tracks camera movements and extracts 3D models of objects.

7. MATLAB

MAANG and other major tech companies use MATLAB, a leading data science tool, to analyze reliable data, develop algorithms, and build models for artificial intelligence and machine learning. It is made up of several interactive applications that scale while using different algorithms to process data. It makes it possible to automate tasks like data extraction and reusing decision-making scripts.

Bottom Line!

Indeed, the field of data science is transforming IT and business. The increasingly data-driven nature of work affects both the available jobs and the needed skills. More facets of the economy, society, and everyday life will depend on it as more data and analysis methods become available. You can learn these tools with the top data science course in Mumbai, which has comprehensive training for working professionals.