3-Day WORKSHOP FOCUSED ON TEACHING ENERGY INDUSTRY PROFESSIONALS THE
ESSENTIAL SKILLS NEEDED TO BE EFFECTIVE DATA SCIENTISTS. WORKSHOP
OVERVIEW:
_“In short, software is eating the world.” – Marc Andreessen
(2011)_
Our 3-day workshop focuses on the application of programming,
visualizations, and data science solutions to energy industry data.
We’re biased Python users. We believe that Python will be a key tool
in the future of data analytics and data science (it already is!) and,
as such, our 3-day workshop will be geared toward teaching students
how to leverage the Python data science ecosystem (think Numpy,
Pandas, Matplotlib, and Jupyter , etc.). This course is designed to be
highly interactive. You will be coding Python classes and functions,
dashboards, and effective visualizations, using all free open-source
tools. By the end of our workshop, you will have practical experience
designing tools that will optimize workflows, as well as a firm
understanding of how the Python data science ecosystem can be applied
to energy industry data. As a deliverable, you will have created a
dynamic dashboard using the knowledge and expertise in new tools
gained over the course.
Note: Our program is rigorous, fast-paced, and focused on practical
technical skills needed to solve data problems, automate workflows,
visualize data, and leverage predictive analytics. It won’t be easy,
but it will be fun. We hope to see you there!
COURSE FORMAT:
_Strategy _
Our 3-day workshops incorporate a just-in-time (JIT) teaching
strategy. What this means is that we will show you final deliverable
(think dashboards, models, visualizations, etc.) and teach you
step-by-step how to build it, while exploring the Python data science
ecosystem in a broader context. Major course concepts will be covered
in one-hour bundles, with 15 minutes of lecture, 15 minutes of live
demonstration and 30 minutes of interactive coding, coaching, and
troubleshooting. Course materials will consist of web-hosted lecture
materials, instructor led demonstrations, and programming examples.
Everything will be delivered via a cloud-based Jupyter Lab session, so
the only thing you need to bring are your laptop and your fingers!
_Class Size_
We believe in tailored and focused instruction within our classrooms
and have structured our courses with a 1:15 teacher to student ratio.
Our goal is to give each student the attention and continuous feedback
necessary to succeed.
_Class Material _
daytum classes will include materials for content and reference.
Students will be allowed to use class materials (e.g. video-lectures
and course notes) for personal use following the completion of the
course.
OTHER:
_Cancellation Policy _
Courses may be cancelled up to two weeks prior to the start of the
class. Cancellation can be done by sending an email to
contact@daytum.org. If a class is cancelled after this time, the
student is responsible for the full cost of the course.
_Software Requirements_
A laptop with a working web browser (try Google Chrome!)
_Feedback _
Following the course, daytum may ask for feedback on instructor
quality and course content. This information is kept highly
confidential and is only used solely to improve the content offerings
and the quality of instruction!
_More Information_
Visit our website [https://daytum.org/]or our blog
[https://daytum.org/blog/]to learn more about us.
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25/07/2019 Last update