This learning track introduces the concepts and techniques of Data Treatment, Data Transformations, Data Visualizations, Feature Engineering, Descriptive and Predictive Analysis, Supervised and Unsupervised Machine Learning, ML Model Development, Hyperparameter tuning, Evaluation and Selection, and Ensemble Learning.
Learn various Data Management and Data Transformation techniques to fetch data from different tables and convert them to useable format to improve data inputs to Machine Learning models.
Learn Data Pre-processing methods for noise removal through outliers and missing value analysis, basics of Data Visualization and other tools & techniques for Univariate & Multivariate data analysis.
Learn the concepts and various techniques of Supervised Machine Learning, Unsupervised Machine Learning and Ensemble Learning focussing on building an ML model, Hyperparameter optimization, Model Evaluation and Selection.
Learn the application of data science concepts and techniques across fields, and how data analysis can help in making data driven decisions.
What’s included
Shareable Certificate
Earn a sharable certificate upon completion
Lifetime Access
Access this case study 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 Management
Data Preprocessing
Data Visualizations
Feature Engineering
Descriptive and Predictive Analysis
Supervised Machine Learning
Unsupervised Machine Learning
Ensemble Machine Learning
Model Selection and Evaluation
Hyperparameter Tuning
Data Transformations
Syllabus
Fundamentals of Data Analytics
Introduction to ANOVA
Fundamentals of Data Pre-processing
Data Mining Concepts and Techniques
Basic Data Visualization Methods
Advanced Feature Engineering Techniques
Data Aggregation Techniques
Data Transformation Techniques
Machine Learning – Logistic Regression
Model Evaluation Techniques
Basics of Hyperparameter Tuning – Linear & Logistic Regression
Getting Started with Naive Bayes Classifier
Support Vector Machines in ML
Hyperparameter Tuning in SVM
Understanding Decision Trees
Hyperparameter Tuning in Tree-Based Models
Bagging and Random Forest in Machine Learning
Concepts and Application of Objective and Subjective Segmentation
Understanding Principal Component Analysis
Data preprocessing on used cars data
Exploratory Data Analysis on Vehicle Crash data & Fatalities
Data preprocessing on used cars data
Analyzing Customer Rating On Voice Call Quality Across Different Regions
Application Of EDA On Vehicle Inventory For An Online Auction Portal
Applying Linear Regression to predict used car prices
Loan Amount prediction for different applications using Regression Techniques
Predicting failure of Power Transformers in a Manufacturing plant using Regression & Performing Root Cause Analysis
Predicting Heart Disease with Logistic Regression
Using Naïve Bayes Classifier To Predict Water Potability
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.
Complete courses to earn sharable 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.
Learner Outcomes
Complete learning tracks to earn shareable certificates and badges. These awarded items will look great in your portfolio as you showcase your skills, projects, and experience to employers and colleagues.
Gain an understanding of and apply different tools and techniques for data management, visualization, transformations, treatment, pre-processing, feature engineering and dimensionality reduction.
Evaluation and selection of appropriate supervised, unsupervised or ensemble machine learning technique(s) for predictive modeling.
Identification and application of various machine learning techniques to real world data from different industries to generate business insights.
Interpret and visualize the outcome of the various applied techniques.
WHAT THE COMMUNITY SAYS ABOUT US
“Rolai is the best program available for someone looking to enhance their skills”
Connor McEachron
Planning & Analytics @ Brooks Brothers
WHAT THE COMMUNITY SAYS ABOUT US
“Great way to learn data analytics and data science”
Balaji Reddy
Manager – Applications Development
WHAT THE COMMUNITY SAYS ABOUT US
“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
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Individual access is free. Business and Academia access require a subscription.
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.
Course Catalog 
Resources 
Difficulty: Advanced
Duration: Approximately 9 Months
