[coursera] 首先是密歇根大学的这个系列课，非常适合python玩家入门。2. [coursera] 如果是要往机器学习...
逻辑线是按照分析常规步骤来的,大致为:foundation of data →define question/issue →data collect &cleaning →data analysis →data visualization &report →Case Study ▶️涉及到的工具:Excel,SQL,R,Tableau ▶️官方建议学习时间:6个月 ▶️费用:可申请助学free ▶️评价:这个课程仁者见仁智者见...
Cross-cultural Analysis, Communication Planning, Team Management, Risk Identification, Earned Value Management, Advanced Excel, Analytical Thinking, Problem-solving, Problem-Solving, ROI Assessment, PMP Formulas, 解决问题, PMP Principles, Project Methodologies, Principle-based Approaches, Project Domains, Pro...
This course covers the essential exploratory techniques for summarizing data. These techniques are typically applied before formal modeling commences and can help inform the development of more complex statistical models. Exploratory techniques are also
Learner Outcomes: After taking this course, you will be able to: utilize various Application Programming Interface (API) services to collect data from different social media sources such as YouTube, Twitter, and Flickr; process the collected data - prima
首先什么是MOOC (Massive Online Open Course) 大规模在线公开课, 简单的说就是把各学校的课程放在网络...
Input DATASETS coursera-course-dataset Language Python License This Notebook has been released under the Apache 2.0 open source license. Continue exploring Input1 file arrow_right_alt Output0 files arrow_right_alt Logs4.2 second run - successful arrow_right_alt Comments1 comment arrow_right_alt...
Did you know Coursera has many courses that are still completely free? Class Central has the complete list.
Coursera offers a number of on-line courses, all available for free and taught by experts in their fields. Today, the course Computing for Data Analysis begins. Taught by Johns Hopkins Biostatistics professor (and co-author of the Simply Statistics blog)
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