This course gives students the tools they need to crunch the numbers, focusing on prediction rather than reporting. Students will learn how to: connect a company's past experience to future expectations; apply correct analytical techniques to problems or decisions; identify and explain deviations fr
A Practitioner's Guide To Business Analytics - Using Data Analysis Tools to Improve Your Organization's Decision Making and Strategy
- Year
- 0
- Category
- Library
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
<p><em>Big Data Analytics with Spark</em> is a step-by-step guide for learning Spark, which is an open-source fast and general-purpose cluster computing framework for large-scale data analysis. You will learn how to use Spark for different types of big data analytics projects, including batch, inter
This book is a step-by-step guide for learning how to use Spark for different types of big-data analytics projects, including batch, interactive, graph, and stream data analysis as well as machine learning. It covers Spark core and its add-on libraries, including Spark SQL, Spark Streaming, GraphX,
The role of analysis in business management -- The analysis process -- BCG growth/share portfolio matrix -- Competitor analysis -- Driving forces analysis -- Financial ratio and statement analysis -- Five forces industry analysis -- Public issues analysis -- Product life cycle analysis -- Scenario a
The role of analysis in business management -- The analysis process -- BCG growth/share portfolio matrix -- Competitor analysis -- Driving forces analysis -- Financial ratio and statement analysis -- Five forces industry analysis -- Public issues analysis -- Product life cycle analysis -- Scenario a
Since the publication of the original edition, the importance of interpreting business data has become mission critical for professionals in all types of businesses.ย These professionals have discovered the benefits of business analysis to address their organizations most crucial strategic and tacti