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Build Job Ready Data-AI Skills

Make an impact with Data and AI

Get job-ready now by acquiring data skills and industry knowledge simultaneously through experiential learning.

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Learn by Doing. Achieve Goals Now.

Future Proof Your Career with Data Skills

Get Job-Ready

Gain experience you otherwise would only receive on the job through industry, skill, and role specific learning tracks and use cases.

Stand Out in the Hiring Process

Complete courses to gain certificates and earn badges. Solve built-in and custom projects to showcase your new skills. Decorate your public profile with all your awards.

Assessment and Learner Analytics

Get immediate feedback based off your assessment performance and complete recommended learnings to increase proficiency across key functional areas.

Global Learning Community

Participate in Live Contests and Hackathons to compete against colleagues and other top data professionals.

Data Education That Makes A Difference

Gain Data Skills with Experiential Learning

Learning Tracks

Courses

Industry Use Cases & Projects

Industry Track

Healthcare Analytics

This learning track introduces the concepts, techniques, and applications of Data Treatment, Data Visualizations, Feature Engineering, Descriptive and Predictive Analysis, Supervised and Unsupervised

Industry Track

Insurance Analytics

This learning track introduces the concepts, techniques, and applications of Data Treatment, Data Visualizations, Feature Engineering, Descriptive and Predictive Analysis, Supervised and Unsupervised

Skill Track

Python Programming for Data Science

This learning track provides with hands-on application of Programming Constructs in Python using Data Structures, and introduces the concepts and techniques of Data Treatment, Data Transformations, Da

Recognizing human activity – An application of supervised machine learning

Skill Track

Explainable AI (XAI)

This learning track introduces a highly efficient approach for understanding the predictions of any model through Explainable AI methods LIME and SHAP, their working principles, outcomes, and applicat

Skill Track

Natural Language Processing

This learning track introduces the fundamental concepts of text analytics, starting with preprocessing techniques like Text Data Cleansing, Text Visualization, and apply various Text Clustering, and T

Industry Track

Telecommunications Analytics

This learning track introduces the concepts, techniques, and applications of Data Treatment, Data Visualizations, Feature Engineering, Descriptive and Predictive Analysis, Supervised and Unsupervised

View All Learning Tracks

Crash Course

Time Series Forecasting

This course introduces the concepts of Time Series Forecasting and how to prepare data for the concepts to be applied on real-world business scenarios.

Crash Course

Fundamentals of Data Pre-processing

This course introduces the basics of data preprocessing and exploratory data analysis used for arriving at valuable insights for decision making.

Crash Course

Machine Learning – Regularization in Linear Models

This course explains different regularization techniques in linear machine learning algorithms and how those could be used to treat the problem of overfitting in machine learning models

Crash Course

Introduction to Natural Language Processing (NLP)

This course introduces the concepts of Natural Language Processing, which creates systems such as speech recognition, machine translation, spam detection, autocomplete, personal assistants, etc.

Coding Course

Hypothesis Testing in Python

This course focuses on understanding various Inferential and Statistical Tests and their Python implementation on a real-world dataset.

Coding Course

Feature Engineering in Python

This course focuses on a thorough understanding of various techniques of feature engineering and their Python implementation.

View All Courses

Insurance

Insurance Claims Customer Sentiment Analysis

This project introduces the learner to the concept of Sentiment Analysis Deep Learning & NLP.

Retail & Consumer Goods

Determine Ideal Customer Profile Using Unsupervised Learning

This case focuses on building strong foundation on the concepts of Unsupervised Learning Techniques on clustered data.

Human Resources

Analyzing Employee Performance with Exploratory Data Analysis

This project exposes the learner to various Data Visualization Techniques to analyze Employee Performances.

Insurance

Exploratory Data Analysis on Travel Insurance Data

This project exposes the learner to various Data Visualization Techniques to analyze travel insurance data for Global customers.

Insurance

Fraud Detection for Automobile Insurance Claims

This project exposes to one of the well-known supervised machine learning model families most commonly known as Classification.

Other Industries

Analyzing House Sales With Explainable AI (XAI)

This course introduces foundational concepts of machine learning models to predict performance of house sales.

View All Use Cases

Achieve Your Career Goals

Making an Impact with Data Skills

79 %

OF RECRUITERS

79% of recruiters’ organizations will pay more for candidates with data skills.

84 %

OF COMPANIES

Say it’s difficult to hire technical talent.

72 %

OF RECRUITERS

Report that requiring data skills makes a job more attractive to candidates.

LEAPS

Learn. Apply. Solve

LEAPS uses our Learn, Apply, and Solve framework to provide a personalized and adaptive learning experience.

Learn

Learn technical and conceptual skills across data science with courses focused on teaching you new skills, applying your knowledge to practical data cases, and assessing your proficiency with AI based assessments.

Solve

Live Contests and Hackathons will give you the opportunity to compete against fellow colleagues and other data professionals. Whether you play to win or just to have fun, you’ll learn something new every time.

Apply

Apply your skills further by completing industry-specific case studies that will give insights into common data scenarios in the field. By successfully implementing your new concepts and skills, you will have effectively gained real industry experience.

Our Patented Learning Approach

LEAPS Platform and Framework

Rolai eliminates the time gap between starting to learn data skills and achieving individual, business, and academic goals.

LEAPS uses our Learn, Apply, and Solve framework to provide a personalized and adaptive learning experience.

All the Most Frequently Asked Questions

What People Are Asking About Data Education

Signing up is easy! Get Started from the homepage, just click the “Get Started” button to sign up instantly no credit card required.

Our courses range from Beginner to Advanced. We have courses and learning tracks that are available for beginners, we do however recommend having a basic level of analytics before starting any beginner course.

You can sign up for a demo on the For Business Tab

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.