Data science according to Wikipedia is defined as
"Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from many structural and unstructured data. Data science is related to data mining, machine learning and big data."
Kaggle the largest community of Data Scientists conducted a survey and based on that survey I am presenting the list of different tools and technologies widely used in different domains of Data Science. Feel free to add some other tools you know which are popular and not mentioned in this list.
Most of the beginners don't know about the tools for ML on cloud, these are some of the best enterprise ML tools by software giants like Google, Amazon and Azure.
Business Intelligence means analyzing data of companies and giving reports and predicting sales and markets. It is one of the most popular use cases of datascience and deals mainly with Statistics and Data Visualization. Some of the most popular Business Intelligence tools used in the industry are given below.
Databases form an important part of DataScience because without data there is no datascience. The different databases used by data scientists all over the world is as follow.
AutoML is one of the most promising technology of modern era which is growing at an alarming rate. Some of the famous AutoML tools are-