大哥终于回来了... 虽然大哥已经写过很多数据网课推荐了,但还是有不少小伙伴问有没有大礼包一站式入门数据分析的课程... 来来来,大哥终于在Coursera上挖到了IBM这枚新宝藏,一个月刷完了IBM Data Science Professional Certificate,赶紧来跟大家分享一下~ 这个系列课一共包括了9门课,包括数据科学的一些基础理论知...
> Course 1:What is Data Science? > Course 2: Tools for Data Science > Course 3: Data Science Methodology > Course 4: Python for Data Science and AI > Course 5: Databases and SQL for Data Science > Course 6: Data Analysis with Python > Course 7: Data Visualization with Python > Cour...
The badge earner is ready for a career in data science with demonstrated ability to solve for real-world problems. They can apply Data Science methodology - work with Jupyter notebooks - create Python apps - access relational databases using SQL & Python
Overall, the IBM Data Science Professional Certificate equips you with essential data science skills in just 5 months, PLUS it prepares you for the job market with new specialized courses. Whether you’re starting from scratch or looking to advance your career, this certificate program gives you ...
IBM数据科学专业证书 IBM Data Science Professional Certificate 该证书来自IBM,在系列课程结束时会提供,能让你按自己的速度从一个完整的数据科学初学者变成专业的在线数据科学家。 Coursera和edX上都可以学IBM数据科学专业证书。无论在哪个平台,你都必须完成涵盖数据科学所有核心知识的课程,才能在完成后获得证书和IBM徽章...
IBM Data Science Professional Certificate About this Professional Certificate Data science is one of the hottest professions of the decade, and the demand for data scientists who can analyze data and communicate results to inform data driven decisions has never been greater. This Professional Certifica...
Here are some of the advantages of learning SQL for someone interested in data science: SQL will boost your professional profile as a data scientist Learning SQL will give you a good understanding of relational databases If you work with reporting tools that generate SQL queries for you, it ...
They offer both a certificate program, as well as a master’s in data science. A GRE is not required for either program. The course of study requires 30 credit hours by way of ten, 12-week classes, with no Friday or weekend in-person requirements. The program is to be completed in...
• Master degree or above in Engineering, Computer Science, Mathematics, Statistics, Finance or related fields. • 2+ years related professional experience in analytics. • Strong logical thinking capability. Understanding of various analytical and modeling methods. ...
So stopping to carefully evaluate outliers is critical to the data science journey.Identify and remove the rows that contain the outlier valuesYou could dig further into the data if you needed to. Was some of the data mistyped or corrupted in some way? With enough subject matter expert...