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Irris Ut Work Values
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Daily Duties at Irris Ut:
Developed Tableau visualizations that answered strategic business questions. Developed interactive dashboards connected to live data fetched from the newly built Data Warehouse using Dimensional Modeling.
What they like about Irris Ut:
A hiring company that offers alternative approaches to pay, performance bonuses, and/or equity in the firm is very attractive to you. You're generally less interested in working for an organization offering only traditional, salary-based compensation, one with limited opportunity to acquire equity in the firm, or one that does not actively promote skill development. In addition, you are more likely to choose a company that offers a variety of internal career options, with defined career paths. You view the learning of new skills and development of your expertise as key to your career advancement. These aspects of an organization may become even more important to you as you progress in your field, and are especially critical if you change career or occupation.
Tags
sql, Python, R, Excel, SAS, Database, Data Analysis, tableau, data mining, deep learning, data visualization
Information about Irris Ut
Company Rank: Not Available
Average length of employment : 0 years
Average salary of employees:
These are some of the questions we asked our climbers about their experiences with Irris Ut:
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| Were your performance expectations clearly communicated? | 0.0 |
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| Were you recognized for meeting or exceeding expectations? | 0.0 |
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| Did you feel like your personal contribution was important? | 0.0 |
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| Was your career path clearly outlined and discussed? | 0.0 |
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| I would recommend this as a place of employment. | 0.0 | |
| I believe in the purpose of this organization. | 0.0 | |
| I would work for this organization again. | 0.0 | |
| I feel employees are fairly compensated. | 0.0 |
Climbers who worked at Irris Ut had these interests:
| Books | |
|---|---|
An Introduction to Statistical Learning |
This book provides an introduction to statistical learning methods. It is aimed for upper level undergraduate students, masters students and Ph.D. students in the non-mathematical sciences. The book also contains a number of R labs with detailed explanati |
| Websites | |
| kaggle.com http://kaggle.com |
Website to undertake data science projects |
| stack overflow http://stackoverflow.com |
A forum to get answers to various work-related issues- programming hurdles or learning new cconcepts |
