Module 1

Introduction to Data Science and related Methodologies

A gentle introduction to Python Programming Language

Introduction to Python Environment and Ecosystem

Data types and Structures in Python

Introduction to Data Visualization

Working with Tabulated Data using Pandas

Basics of Data Cleaning and Transformation using Pandas.

Creating Calculations and Data Exports.

Linking Excel, CSV, TXT to Python

Module 2

Introduction to Unsupervised Learning Methods

Introduction to the Concept of Clustering.

Introduction distance metrics

Introduction to sci-kit learn library for ML

Introduction fundamental Python Expressions and functions

Introduction to Anomaly Detection

Advantages and Limitation of Anomaly Methods.

Introduction to Local Outlier Factor with Time Window.

Module 3

Introduction to Supervised Learning

Introduction to Data types and it’s classification (A Statistics Approach)

Labels and Events in Oil and Gas Industry

Introduction to Labeled Data and The concept of Classification

Introduction to Decision Trees and Related Algorithms

Introduction to Pandas Tabular DataFrames

Introduction Binary Classification and One-V-Rest technique

Introduction to Multiclass classification

Evaluating the Classification using Metrics

Decision Boundary Plotting (Decision Maps)

Module 4

Introduction to Continuous Data and Corresponding Relationships

Introduction to Correlations.

Introduction Linear Data Relationship

Introduction to relationship visualization and Correlation Matrix

Introduction to Regression Analysis

Introduction to LinearRegression

Introduction to SupportVectorRegression

Introduction to Xtreme Gradient Regression(XGBoost Library)

Module 5

Introduction to Time Bounded Data in Oil and Gas Industry

Introduction to Typical Decline Curve Analysis and Limitations

Introduction to Time Series Analysis.

Introduction to Time Series Data Patterns and Components

Comparing DCA to Time Series Analysis.

Short Term Production Prediction using TSA.

Introduction to Simple Moving Average and Exponential Moving Average

Introduction AutoRegressive Models

Introduction to ARIMA Models.

On successful completion of this training course, PEA Certificate will be awarded to the delegates