Data science tools are essential to know about to get recruited in FAANG in 2022 for a hefty salary
Data science tools are one of the hottest tools to use for effective data management to derive meaningful insights for better customer engagement. Multiple data and tech companies including FAANG (Facebook, Apple, Amazon, Netflix, Google) are popular for letting data scientists leverage different data science tools. Tech companies and FAANG need to have a deep understanding of customer behavior in this data-driven market. Thus, aspiring data scientists should look out for the top data science tools to get recruited by popular tech companies including FAANG in 2022 and beyond.
Top ten data science tools to know in 2022
Apache Hadoop
Apache Hadoop is one of the top data science tools to develop open-source software for scalable and distributed computing. It offers a library as a framework to allow for the distributed processing of large datasets with simple programming models. It is designed to scale up from a single server to thousand machines. There are four key modules that FAANG uses such as Hadoop Common, Hadoop Distributed File System, Hadoop YARN, and Hadoop MapReduce.
Tableau
Tableau helps data scientists in tech companies as well as FAANG in digging deep into relevant data, unlocking meaningful insights, and presenting the outputs with a visual and compelling story. It helps in effective data management with a wide variety of data sources. FAANG uses this data science tool for data visualization with a wide range of products such as Tableau data management, Tableau Desktop, Tableau pre builder, Tableau cloud, and many more for data scientists.
Jupyter Notebook
Jupyter Notebook is known as a popular data science tool for tech companies as an open-source web application for interactive computational environments. It has produced documents combining both inputs and outputs into a single file. There are two categories of this data science tool that FAANG leverages such as Jupyter Classic Notebook and JupyterLab. It helps to integrate code and the output with a succession of steps.
TensorFlow
TensorFlow is one of the top data science tools offering different levels of abstraction to build and train machine learning models with high-level Keras API. If data scientists need better flexibility and eager execution enables immediate iteration and intuitive debugging. Tech companies can use the distribution strategy API for distributed training on multiple hardware configurations. It offers a wide variety of tools to boost the workflow such as Colab, TensorBoard, ML Perf, What-If Tool, and many more.
RapidMiner
RapidMiner is a FAANG-ready data science platform to offer expertise and relevant data for a breakthrough competitive edge. It supports a full analytics lifecycle including model building, model ops, AI app building, collaboration and governance, trust and transparency, as well as data engineering. The mission is to reinvent Enterprise AI to shape the business goals efficiently and effectively.
BigML
BigML is used by data scientists for its comprehensive platform, immediate access, interpretable and exportable models, and flexible deployments with automation. By leveraging this data science tool, FAANG can build sophisticated machine learning-based solutions by distilling the predictive patterns from relevant data into real-life intelligent applications. Data scientists can perform multiple activities such as time series forecasting, anomaly detection, classification, topic modeling risks, and many more with automation.
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