{"id":4538,"date":"2020-06-25T13:15:55","date_gmt":"2020-06-25T13:15:55","guid":{"rendered":"http:\/\/99techpost.com\/?p=4538"},"modified":"2022-04-16T11:03:26","modified_gmt":"2022-04-16T11:03:26","slug":"top-data-science-tools","status":"publish","type":"post","link":"https:\/\/www.99techpost.com\/top-data-science-tools\/","title":{"rendered":"Top Data Science Tools"},"content":{"rendered":"\n

Have you ever wondered why you should learn Python for Data Science? Is data science<\/a> a hot career nowadays? Well, the simple answer is, yes! Big data<\/a> dominates modern times. As you read this article, there are millions of bytes of data being generated. However, the potential of this colossal amount of data lies in how well it is being managed and processed, and that is where data science has a crucial role to play.<\/p>\n\n\n\n

Data science is a multidisciplinary field that involves deriving useful insights from data to drive decision making and strategizing, which in turn contribute to growth and prosperity. Data analysts in the past were limited to basic software like Excel for data processing. But with the advancement in computer science and technology, data scientists today have a plethora of sophisticated techniques and methods like machine learning (ML), artificial intelligence (AI), statistics, and applied mathematics at their disposal.<\/p>\n\n\n\n

The popularity of data science<\/h2>\n\n\n\n

Super-fast computers, high computational power, and high-level programming languages have accelerated the popularity of data science in recent years. With that, the demand for data scientists and analysts is on an ever-increasing high. L<\/a>earning <\/a>Python for data science<\/a> is just a baby-step towards mastering data science because there is a lot more you can explore.<\/p>\n\n\n\n

What are the top data science tools?<\/h2>\n\n\n\n

The extraction, manipulation, processing, and analysis of data have benefitted not only the IT sector but other critical industries as well. Data scientists, researchers, analysts, and High5 Hire Python developers<\/a> put in enormous amounts of research and effort to collect, study, and make predictions out of the data. But, all this would not have been possible had there not been the different programming languages and statistical tools for carrying out the data operations. Many of these tools are Python-based that reiterates the advantages of learning Python for data science course<\/a>. So, let's have a look at some of the best data science tools:<\/p>\n\n\n\n

1. SAS<\/p>\n\n\n\n

SAS is the acronym for Statistical Analysis System. SAS serves many purposes, including statistical analysis, data mining, business intelligence applications, analysis of clinical trials, analysis of time series, and econometrics. The salient features of SAS include:<\/p>\n\n\n\n