Long story short-Python is simply a high-priority data science tool. Importantly, the ease of performing repetitive tasks saves you precious time. And Python's focus on simplicity makes it relatively easy for you to learn. Python is a natural data science tool as it has an assortment of useful libraries, such as Pandas, NumPy, SciPy, Matplotlib, Seaborn, StatsModels, IPython, and several more. Only then the most relevant data can be used. The explosive growth of Big Data means you have to manage enormous amounts of data, clean it, manipulate it, and process it. As a data scientist, you will identify, clean, explore, analyze, and interpret trends or possible patterns in complex data sets. Besides, Python is a versatile programming language you need to master to become a career data scientist. If you are keen on getting your foot into the lucrative data science and analysis universe, you need to have a fundamental understanding of statistical analysis. Hence, a formal training in statistics is indispensable for data scientists. Statistics for Beginners in Data Science Statistical methods are an integral part of data science.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |