Data Treatment and Feature Engineering

This learning track provides a hands-on experience with Data Management and Understanding, Data Transformation, and Data Mining along with the application of various feature engineering techniques in industrial cases.

  • icons final-02 6 Courses
  • icons final-03 7 Projects & Case Studies
Data Treatment and Feature Engineering
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    Difficulty: Beginner

    No prior knowledge or experience required

  • Asset 1
    Duration: Approximately 4 Weeks

    Suggested learning pace is 5hr/week

Course Overview

  • Learn the fundamental concepts of data preprocessing and apply various techniques for treating missing values, and outliers to obtain a suitable form of the raw data.
  • Understand and apply various techniques of data mining, with emphasis on data transformations on raw data to obtain optimal features.
  • Develop a working understanding of feature importance and select optimal features using  feature selection techniques like Backward Selection and Forward Selection.
  • Learn how to apply the concepts learned on live data across industries to generate insights.

What’s included


Shareable Certificate

Earn a sharable certificate upon completion


Lifetime Access

Access this learning track for life once completed


Flexible Scheduling

Start learning online immediately, at your own pace


Desktop Only

We recommend completing this learning track on a desktop

Skills You Will Learn

Data Pre-processing

Missing Value Treatment

Data Mining

Outlier Treatment

Data Transformation

Feature Scaling

Data Aggregation

Encoding Categorical Features

Binning Data


  • Fundamentals of Data Pre-processing
  • Data Mining Concepts and Techniques
  • Advanced Feature Engineering technique
  • Data Aggregation
  • Data Transformation
  • Feature Engineering in Python

  • Cleaning & treating – HR attrition case study
  • Detecting Credit Card Fraud – Feature Engineering Technique
  • Feature Engineering on Fleet Vehicle Fuel Consumption
  • Credit Risk Modelling – Probability of Default: Data Treatment & Feature Selection
  • Application of Variable Selection Techniques to Identify the Significant Predictor Variables
  • Analyzing and Predicting the Productivity Performance of Manufacturing Industry Workers
  • Analyzing and Predicting the Laptop prices for an Online Retail Store

How it Works

Learn new skills that will boost your career by enrolling in courses across data analytics, data science, ML and AI. These courses will utilize readings, videos, quizzes, data cases, and even coding exercises to teach you skills and concepts in a way that will solidify your new knowledge for hands-on application.

With our hands-on projects, you will take your newly learned skills along with our 750+ low-code/no-code functions and embedded coding console to complete milestone-based projects. Once completed, you will have effectively applied new skills and concepts to real-world data cases that can be translated directly into your career.

Complete assessments and track your progress in real-time to benchmark your proficiency in relation to key functional areas. As you progress through your courses, our patented platform will utilize ML and AI to record and analyze your inputs and output to provide active feedback and recommendations that will help you learn more effectively than the standard Letter Grade system used today.

Learner Outcomes

Complete learning tracks to earn shareable certificates and badges. These awarded items will be look great in your portfolio as you showcase your skills and project experience to employers and colleagues.

  • Understanding of the main concepts of data preprocessing and the ability to handle outliers and missing values through multiple techniques, and also checking how it transforms the data.
  • Understand and apply various data mining techniques and convert raw data into a suitable format by applying various feature engineering techniques like scaling, binning, encoding etc.
  • Application of the knowledge of data mining, data preprocessing and feature engineering on live data across industries.
  • Interpretation of the outcome of the applied techniques.

“Rolai provides contextual upskilling opportunities … on one single platform.”

Sundar Ramamoorthy
Managing Director of Solutions.AI, Global Products & Delivery Lead at Accenture

“An excellent tool for anyone who wants to quickly learn the ropes.”

Sanket Kawde
Head Data and Analytics at CitiBank India

“Rolai is the best program available for someone looking to enhance their skills”

Connor McEachron
Planning & Analytics @ Brooks Brothers

“Great way to learn data analytics and data science”

Balaji Reddy
Manager – Applications Development

“The courses were excellent and covered topics that I didn’t expect”

Aadarsha G
Student At Ohio Wesleyan University
All the Most Frequently Asked Questions

What People Are Asking About Data Education

Rolai’s patented process provides a personalized learning process for each user. Rolai goes deeper than simply learning concepts and testing your skills. At Rolai, learners can apply their skills to actual industry use cases and projects.

Our courses include readings, videos, quizzes, and hands-on data cases that are completed using our virtual lab; give learners an applied learning experience.

No additional tools are needed to begin learning with Rolai. Our virtual lab contains the necessary data workspace and an embedded coding console.

  • We have internal SMEs across industries and domains that we work with to develop relevant content and assure quality datasets and problem statements.
  • We also work with enterprises and universities to develop new content directed towards their industry and expertise.