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, Data Visualizations, Feature Engineering, Descriptive and Predictive Analysis.
Learn to implement the different functionalities within the various Python libraries used in Data Science like Pandas and NumPy for data manipulation purposes.
Learn to implement different data pre-processing techniques and perform detailed univariate and multivariate analyses to gain insights.
Learn to implement the different functionalities within the various Python libraries used in Data Science like Matplotlib and Seaborn for data visualization purposes.
Learn how to apply various data transformation and feature engineering techniques to raw data and prepare suitable features for improved modelling results.
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
User interface
Front-end development
css
html
Ux/ui design
react
java
Javascript
Syllabus
Data Science with Pandas
Numpy for Data Science
Data Visualization with Seaborn
Getting started with Matplotlib
Univariate Exploratory Data Analysis using Python
Multivariate Exploratory Data Analysis using Python
Feature Engineering in Python
Fundamentals of Data Processing in Python
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
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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
Signing up is easy! Get Started from the homepage, just click the “Get Started” button to sign up instantly no credit card required.
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: Intermediate
Duration: Approximately 3-4 Weeks
