以前听过的Coursera上ESSEC商学院的商业分析课程,当时做的笔记在Evernote上面,为了防止格式改变就用截屏的方式传上来。 课程链接:Foundations of Strategic Business Analytics,文中代码是R语言。
Course 2 of 4 in theStrategic Business Analytics Specialization. Syllabus WEEK 1 Module 0 : Introduction to Foundation of Marketing Analytics In this short module, we will introduce the field of marketing analytics, and layout the structure of this course. We will also take that opportunity to ...
Enverus Foundations delivers analyst-curated permit, completion, production and land datasets of unrivaled completeness and quality.
Graph analyticsGraph OLAPThe past few years have seen a tremendous increase in often irregularly structured data that can be represented most naturally and efficiently in the form of graphs. Making sense of incessantly growing graphs is not only a key requirement in applications like social media ...
This is the first of seven courses in the Google Advanced Data Analytics Certificate, which will help develop the skills needed to apply for more advanced data professional roles, such as an entry-level data scientist or advanced-level data analyst. Data
Data helps us make decisions in everyday life and in business. In this first part of the course, you’ll learn how data analysts use data analytics and the tools of their trade to inform those decisions. You’ll also discover more about this course and the overall program expectations. WEE...
The Role of Leadership in Building the Foundations for Data Analytics, Visualization and Business Intelligence A study on the influence of leadership orchestration on e-readiness accession in higher education in the Republic of Kenya concluded in 2018 showed that th... M Kiula,E Waiganjo,J Kihoro...
automate and scale their data analyses. Everyone today would be well served to learn to code and to apply programming to data analysis. This book serves exactly that purpose: it targets non-coders and teaches them fundamentals of Analytics using Python -- the tool of choice for data scientists...
The chapter provides a broad introduction to the foundations of health AI and ML systems and is organized as follows: (1) Theoretical properties and formal vs. heuristic systems: computability, incompleteness theorem, space and time complexity, exact vs. asymptotic complexity, complexity classes and ...
data analysis: thecollection,transformation, andorganizationof data todraw conclusions,make predictions, and driveinformed decision-making data analytics: the science of data Data-driven decision-making define: Usingfactsto guide businessstrategy