Join Barton Poulson for an in-depth discussion in this video Next steps, part of Big Data Foundations: Techniques and Concepts.
And so we've come all the way around…and we're at the final video…for techniques and concepts of big data.…Before we leave,…I wanted to give you some ideas for further learning.…We're going to base this…on the data science Venn diagram…that we talked about earlier,…which talks about coding…and statistics and domain knowledge.…At Lynda.com you can find…a really wide range of coding courses.…If you're new to coding,…a really nice way to do this…might be either with Bash Scripting…through the command line or with Python.…
Similarly, statistics,…there's a range of courses available at Lynda,…these are actually on my courses…about using the programming language R,…which is for statistics,…or processing for data visualization.…I also have courses on SPSS,…another statistical package.…Although it's not explicitly part…of the data science Venn diagram,…databases are absolutely central…in this sort of split between coding and statistics…and there's a great selection…of database courses at Lynda.com,…such as the foundations courses…
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- What makes big data "big"
- Understanding how big data impacts consumers, businesses, and research
- Exploring the intersection of data science and big data
- Facing big data's ethical challenges
- Understanding the sources and structures of big data
- Storing big data
- Prepping big data for analysis
Skill Level Beginner
What Is Big Data?
2. How Is Big Data used?
3. Big Data and Data Science
4. Ethics in Big Data
Challenges with anonymity5m 51s
5. Sources and Structures of Big Data
6. Storing Big Data
7. Preparing Data for Analysis
8. Big Data Analysis
Next steps1m 58s
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