- [Voiceover] Now that you've got a better idea…of what data science is and how it works,…you're probably looking for some of the next steps…you can take to develop your skills…and to put them into action.…The single best thing I can recommend at this point…is to get involved.…There's so many ways that you can do this.…For instance, you can go to data science events.…There are major events that happen,…such as the Strata Hadoop World.…These are put on by O'Reilly Media.…They happen several times a year…in several places around the globe.…The same is true for Predictive Analytics World:…somewhere between eight and 10 meetings a year…around the world.…
There are smaller conferences, like Extract,…which is put on by import.io,…and Visualized, which is an event for data designers,…visualizers, story tellers, and technologists.…Or there are specialized events, like PyData and useR!…Those are events for the Python and R…data science communities.…Of course, there's a number of blogs that are available.…Probably the biggest one is DataTau.…
- Assess the skills required for a career in data science.
- Evaluate different sources of data, including metrics and APIs.
- Explore data through graphs and statistics.
- Discover how data scientists use programming languages such as R, Python, and SQL.
- Assess the role of mathematics, such as algebra, in data science.
- Assess the role of applied statistics, such as confidence intervals, in data science.
- Assess the role of machine learning, such as artificial neural networks, in data science.
- Define the components of effective data visualization.
Skill Level Beginner
1. What Is Data Science?
2. Fields of Study
Ethical issues2m 39s
4. Data Sources
5. Data Exploration
8. Applied Statistics
9. Machine Learning
Next steps2m 17s
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