Course Catalog 
Resources 
Lifetime Access
Access this project for life once completed
Data Mining Concepts and Techniques
This course is designed to equip a learner with all the necessary concepts, techniques, approaches, and data mining skills required by a data scientist, along with their hands-on implementation on a real-world based dataset.
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6 Videos
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24 Data Cases
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5 Readings
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22 Quizzes
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Difficulty: Beginner
No prior knowledge or experience with data required.
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Duration: Approximately 5 weeks
Suggested learning pace is 5hr/week
Course Overview
- Prior to the application of predictive and prescriptive analytics, a data scientist is required to perform data mining.
- Data mining reveals crucial information related to the business problem which allows a more comprehensive understanding of the business problem and efficient model building.
- Understand various concepts, techniques and approaches involved in the data mining phase of a project.
- Gain practical experience by applying the understanding on 24 real-world based business scenarios.
What’s included
Flexible Scheduling
Start learning online immediately, at your own pace
Desktop Only
We recommend completing this project on a desktop
Skills You Will Learn
Associated Learning Tasks
Data Mining- Understanding Data – Performing Data Sanity Checks
Random Sampling Methods- Stratified Sampling Method – Splitting Data into Development and Validation- Univariate and Bivariate Analysis
Identifying Outliers and Missing Values- Box Plots – Outlier Treatment – Missing Value Treatment
Variable Binning- Logit Plot – Log Odds -Linear Relationships for Continuous and Binary Dependent Variables
Information Value -Principal Components -Wald Chi Square Test – Multi collinearity – VIF and CI
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.
“Rolai provides contextual upskilling opportunities … on one single platform.”
“An excellent tool for anyone who wants to quickly learn the ropes.”
“Rolai is the best program available for someone looking to enhance their skills”
“Great way to learn data analytics and data science”
“The courses were excellent and covered topics that I didn’t expect”
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.
