Oil & Gas Training
and Competency Development

Location Bandung, Indonesia
Start03 Aug 2020
End05 Aug 2020
Discipline Multi-Discipline
Duration3 Days
CostUSD 3,000.00
Delivery Mechanism Classroom

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Fundamentals of Data Analytics

This three-day course introduces the data analytics techniques to extract knowledge from raw data. The course aims to educate class audience on how to create data-driven models through the data mining pipeline that consists of data exploration, data preprocessing, machine learning modeling, and model evaluation. The course combines theoretical knowledge with hands-on training of the data analytics techniques. After taking this course, the participants should be able to build and evaluate data-driven models via the machine learning approach.

This is a practical course with 50% of the time dedicated to hands-on sessions using R programming language. Hands-on session will be based on oil and gas related datasets.

  • Agenda
  • Audience
  • Prerequisites
  • Location
  • Agenda

    Day 1

    Exploratory Data Analysis and Data Preprocessing

    • Introduction to Data Analytics
    • Exploratory Data Analysis (EDA) (Visualization, and Descriptive Statistics)
    • Hands-on EDA
    • Data Preprocessing (including PCA)
    • Hands-on Data Preprocessing

    Objective: On the first day of the course, the participants will be able to get a bird-eye view of the data analytics process. They will explore two of the four data analytics modules called exploratory data analysis, a necessary step to get the feel of the data, and data preprocessing, a necessary step to clean and format the data before building machine learning models. Learning will be reinforced via hands-on training in R.

    Day 2

    Supervised Machine Learning

    • Decision Tree
    • Hands-on Decision Tree
    • Regression (Linear and Logistics)
    • Hands-on Regression
    • Model Evaluation

    Objective: On the second day of the course, the participants will be able to build data-driven models via supervised machine learning algorithms. Two representative machine learning algorithms - one for classification and the other for regression - will be covered. Model evaluation matrices (e.g., confusion matrix, ROC, AUC, etc.) and model evaluation methods (e.g., 10-fold cross validation) will be discussed towards the end of the day.

    Day 3

    Ensemble Methods and Unsupervised Machine Learning

      • Hands-on Model Evaluation
      • Ensemble Methods (Bagging, Boosting and Random Forest)
      • Hands-on Ensemble Methods
      • Cluster Analysis (k-Means and Hierarchical)
      • Hands-on Cluster Analysis
      • Class feedback and wrap up

      Objective: On the third day of the course, the participants will be introduced to more advanced machine learning techniques of ensemble methods and unsupervised machine learning algorithms. They will be able to implement the complete data mining pipeline including model building and model evaluation in R. 

    • Audience

      Geoscientists, Engineers, IT professionals and aspiring Citizen Data Scientists working in the oil and gas industry who want to get introduced to data analytics techniques for building data-driven models.

    • Prerequisites


    • Prerequisites

    • Location


      Bandung is the capital of West Java province in Indonesia. Located 768 m (2,520 ft) above sea level, Bandung has relatively year-around cooler temperature than most other Indonesian cities

      Bandung Sky Line

      Bandung is renowned for its large stock of Dutch colonial architecture; most notably the tropical Art Deco architectural style. The modern and native architectural blending was followed by several Dutch architects that have shaped the city landmarks. In the 1930s, Bandung was known also as the city of architecture laboratory because of many Dutch architects made some experiments with new architectural designs.

      Bandung has served for popular weekend-break destination for people living in Jakarta for many reasons. The cooler climate of highland plantation area, the varieties of food, the cheaper fashion shops located in factory outlets and distros, golf courses, and the friendliness of local people have become the main attraction of the city.

      Bandung Husein Sastranegara International Airport serves direct flights to Batam, Surabaya, Yogyakarta, Denpasar, Palembang and Padang and also international services from Kuala Lumpur and Singapore Changi Airport. The airport is located nearby the Dirgantara aerospace complex and Dirgantara Fairground.

      From Wikitravel licensed under Creative Commons Attribution-ShareAlike 3.0

      • Timezone : GMT+07:00, Bangkok (Bangkok)
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