Introduction to Data Science & Analytics: A Free Class
When:
Wednesday, Feb 14, 2018 6:30p -
8:00p
Where:
GA Boston
125 Summer Street, 13th floor
Boston, Massachusetts 02110
Admission:
FREE
Categories:
Business, Innovation, Lectures & Conferences, Meetup, Tech
Event website:
https://generalassemb.ly/education/introduction-to-data-science-analytics-a-free-class/boston/45201
About This Event
What exactly is Data Science and why does it matter? How does it differ from analytics?
We live in a world with seemingly infinite data, and if you can learn the right balance of computer science, statistics, and information theory, there are lucrative opportunities available to you.
Discover case studies about how data science is uniquely positioned to solve major problems for a variety of companies. By the time you finish this class, you’ll have a better idea of what the data science field is, and more importantly, how you can help yourself get what the Harvard Business Review calls the “sexiest job of the 21st century”.
Takeaways
- Describe the data mining workflow and the key traits of a successful data scientist.
- Explore & visualize data.
- Tools and resources to help you find answers to questions that may come up in future analyses.
What exactly is Data Science and why does it matter? How does it differ from analytics?
We live in a world with seemingly infinite data, and if you can learn the right balance of computer science, statistics, and information theory, there are lucrative opportunities available to you.
Discover case studies about how data science is uniquely positioned to solve major problems for a variety of companies. By the time you finish this class, you’ll have a better idea of what the data science field is, and more importantly, how you can help yourself get what the Harvard Business Review calls the “sexiest job of the 21st century”.
Takeaways
- Describe the data mining workflow and the key traits of a successful data scientist.
- Explore & visualize data.
- Tools and resources to help you find answers to questions that may come up in future analyses.