Data Collection Reporting Statistics Workshop 
Depict Data Studio
AUGUST 18, 2020
I used to write hundred-page reports… I was trained to write lengthy reports filled with statistical jargon. Now, I design reports that people actually want to read. My audience can understand the information, so the data actually gets used. Reports aren’t supposed to feel daunting. More graphs.
Depict Data Studio
MAY 8, 2023
Two classes focus on core data visualization skills (translating technical information for non-technical audiences; making sure we don’t just have bar charts; and using colors and fonts that are branded, accessible, and intuitive). I call them deep dives because they focus just on reports, or dashboards, or presentations.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
CIO Business Intelligence
APRIL 25, 2022
An education in data science can help you land a job as a data analyst , data engineer , data architect , or data scientist. It’s a fast growing and lucrative career path, with data scientists reporting an average salary of $122,550 per year , according to Glassdoor. Top 15 data science bootcamps.
FineReport
AUGUST 17, 2021
Are you still using the traditional cumbersome and redundant data collection methods? Have you ever neglected key indicators because of irrelevant data in your decision-making? Digital dashboard also realizes the tracking of data and indicators for monitoring the operating conditions of the enterprises. Conclusion.
Depict Data Studio
APRIL 16, 2019
A couple weeks ago, I led a series of half-day workshops for faculty members and graduate students at the University of South Carolina in Columbia, South Carolina. The first of two data visualization workshops with @AnnKEmery is underway! We wrote single-spaced reports! Business writing was a different world.
Domino Data Lab
MAY 8, 2019
The lens of reductionism and an overemphasis on engineering becomes an Achilles heel for data science work. Instead, consider a “full stack” tracing from the point of data collection all the way out through inference. Use of influence functions goes back to the 1970s in robust statistics. That seems much more robust.
Andrew White
JANUARY 9, 2022
First, how we measure emissions and carbon footprint is about data design and policy. For example I would argue that most organizations that report their carbon footrest are not doing it consistently and nor are they doing it correctly. This was not statistic and we have not really explored this in any greater detail since.
Expert insights. Personalized for you.
52 
Let's personalize your content