How To Get Started In Data Science

Form Summary

In 2012, Harvard Business Review named data science the "sexiest job of the 21st century." Why are data scientists in such demand these days? The reply is that over the past decade, at that place has been an explosion in the data generated and retained by companies, and they need to leverage and exploit information technology. Information scientists are the people who brand sense out of all this data and figure out only what tin can be washed with it.

If you're interested in learning well-nigh data science, this course will introduce you to the fundamentals of data training, predictive modeling, data science, and the deployment and maintenance of models in a business concern environment following a tried and tested projection methodology.

In the beginning week, nosotros'll cover the fundamental challenges of concern problem understanding and identifying the appropriate analytical arroyo. In the second week, we'll embrace data preparation, selecting variables, and data encoding. Weeks 3 and four will introduce yous to a broad range of algorithms such as conclusion trees, regression, neural networks, basket analysis, and simulation. Calendar week five explains how we evaluate the functioning of our models and the approaches we have to improve them. In week vi, you'll learn virtually model deployment and maintenance, and we'll deflate some mutual myths.

Data science is a circuitous subject to empathise, but in this class you'll learn most the primal principles, look at how the algorithms tin add value to your business concern, and we'll demystify the complex processes. You don't have to be a rocket scientist to be a information scientist.

Hither is what some participants are saying about the course:

" Much Thanks to Stuart and all in team who assisted. Loved Stuart's Passion and not-technical manner of teaching. Very Good Course - much more than a Introduction " Read the original post
" Great foundation into Data Science & AI. Thanks openSAP and the Instructor, this was a very good course to take and augment my insight into the field." Read the original mail service
" Adept Data Science Introduction. Thanks Stuart for your brilliant session. Information technology makes me understand more skill and tech used in DS area. I feel I come up back to university and listen to my professor'southward class." Read the original postal service
" Excellent Course. I enjoyed the course and the facilitator, well presented." Read the original post
" Thank you lot a bunch. I liked the way the course was delivered. Very informative and helpful. Thanks for the references." Read the original post
" This class provided more a basic understanding of the data science concepts supported by very good links to both paid and gratuitous material to support further steps of the data scientific discipline journey. " Read the original post

Grade Characteristics

Starting from: June xv, 2021, 09:00 UTC. (What does this mean?)
Duration: 6 weeks (3-4 hours per calendar week)
Final exam: July 27, 2021, 9:00 UTC – August 04, 2021, 9:00 UTC
Course linguistic communication: English
How is an openSAP class structured?

Course Content

Calendar week 1: Business and Data Understanding
Week 2: Data Preparation
Week 3: Modeling (one)
Week 4: Modeling (2)
Calendar week 5: Evaluating Model Operation
Calendar week vi: Deployment and Maintenance
Week 7: Final Exam