The SuperDataScience PodcastBlogs, Podcasts, Etc. / Podcasts
From iTunes: “The goal of the Super Data Science podcast is to bring you he most inspiring Data Scientists and Analysts from around the World to help you build your successful career in Data Science. Data is growing exponentially and so are salaries of those who work in analytics. This podcast can help you learn how to skyrocket your analytics career. Big data, visualization, predictive modeling, forecasting, analysis, business processes, … Continue Reading
Cloudera Engineering BlogBlogs / Blogs, Podcasts, Etc.
“Best practices, how-tos, use cases, and internals from Cloudera Engineering and the community”, the blog is a deep dive into the functionality of the Cloudera products, covering a variety of topics in big data management and analysis and integrations with technologies such as Apache Spark, Hadoop, and Kafka.
Big Data Integration and ProcessingCourses / Self-paced online course
This course is 3 of 6 in the Coursera Big Data Specialization. From Coursera: “At the end of this course, you will be able to: Retrieve data from example database and big data management systems Describe the connections between data management operations and the big data processing patterns needed to utilize them in large-scale analytical applications. Identify when a big data problem needs data integration Execute simple big data integration and … Continue Reading
Introduction to Big DataCourses / Self-paced online course
This course is 1 of 6 in the Coursera Big Data Specialization. From Coursera: “Interested in increasing your knowledge of the Big Data landscape? This course is for those new to data science and interested in understanding why the Big Data Era has come to be. It is for those who want to become conversant with the terminology and the core concepts behind big data problems, applications, and systems. It is … Continue Reading
Doing Data Science: Straight Talk from the FrontlineBooks / physical books or multiple formats
How can you get started working in a wide-ranging, interdisciplinary field that’s so clouded in hype? This insightful book, based on Columbia University’s Introduction to Data Science class, tells you what you need to know.