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Use of Machine Learning in the Oil & Gas industry Questionnaire

Please take 3 minutes to fill out our questionnaire regarding the use of Machine Learning in the Oil & Gas Industry.

This survey is for academic research purposes and for improving the implementation of machine learning.

We thank you in advance for your cooperation!


Interview with Manja Bogicevic, CEO & Founder, Kagera Ai

She helps businesses to work with data science & AI. Her help aids executives in optimize their performance and minimize their downtime with deep learning and machine learning. Her industry focus is Oil & Gas, Mining, Food & Beverage, Retail. 

She took learning data science by doing as a challenge, and with the help of her mentor, she was able to land a good ground in data science. 

Šta je to što povezuje Data Science, Mašinsko učenje i Veštačku inteligenciju?

Odgovor su podaci. Podaci su proslost u koju gledamo, da bi razumeli sadašnjost i razumeli budućnost. Data Science je zanimanje koje je prvi put uvelo naučni metod u biznis. Ističe se sposobnost da u moru podataka prepoznate pravi problem koji treba rešiti. Sve kreće od brižiljivo postavljenih hipoteza koje se mogu oboriti. Mašinsko učenje i veštacka inteligencija ce nas voziti na posao i potpuno transformisati sve što znamo o našem novcu, indentitetu i sigurnosti.

Open data – what we did and what we learned during the Open Data Week 2019

Open Data Week was held for the second time in Serbia, from April 1 to April 7, 2019, with an almost doubled volume of activities compared to last year. With 17 events and 21 partners – workshops, a hackathon, panels and lectures were focused on a broader group of users of open data, outside of the narrowly interested technological field – for pupils, students, owners of small and medium enterprises, as well as the media.

Centar za Iztraživanje Javnih Politika

Manja Bogićević sarađuje sa Centrom od maja 2019. godine kao analitičarka velikih podatka. Manja je jedna od prvih preduzetnica i data analitičarki na Balkanu. Kao konsultantkinja pomaže menadžerima i preduzetnicima da uklope upravljanje podacima u svoje poslovanje, kao i da povećaju profit kompanije uz primenu mašinskog učenja.

Top Ten Places to Promote your Data Science Skills

In this day and age it is very important to know how to promote yourself. For example, when you want to find some help or some course, you ask Google or your best friends. We people love recommendation when we buy something or hire someone for example.

It is same in business, especially in data science. I think promotion is equally important as your skills. People need to know what you can do. And remember nowadays everything is on the go. If you aren’t online, you don’t exist.

Fast Numerical Computing with Python 

Get to grips with aspects of numerical computing and understand NumPy, the powerful numerical computing module, using Python!


About This Video 

  • Learn to use NumPy on numerical data and get to grips with its arrays and functions
  • Group and index your data to perform sophisticated data analysis and manipulation
  • Derive numerical results faster and much more easily than with any other tool


Hacks for Getting into Data Science in 6 Months – Part 1: Roadmap

Data Scientist has rated the best job in America fo 2017, with a median base salary of $110,000 (Source: Glassdoor). Careers include data scientist, data engineer, data analyst, statistician, data manager, data architect, business analyst. There are approximately 215,000 open job positions in Data Science (Source:

Tableau 2019.1 for Data Scientists

Leverage the power of Tableau to generate useful insights from messy data and fix, prepare and present data quickly and easily.


About This Video

  • Create impactful data science and analytics visualizations including Sankey diagrams and presentations
  • Analyze your data with Tableau and challenge yourself by working with new datasets and real-life exercises
  • Cover the latest Tableau 2019.1 features to hone your visualization skills

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