Fundamentals of Data Visualization – Part I

This course is designed to provide a comprehensive understanding of Linear Regression Models.  Learners will explore aspects of model building and practical implementation of Linear Regression Models in real-world business scenarios.

  • icon-data 2 Data Cases
  • icon-reading 1 Reading
  • icon-quiz 1 Quiz
Fundamentals of Data Visualization - Part I
  • 1 bar graph
    Difficulty: Beginner

    No prior education or professional experience required.

  • Asset 1
    Duration: Approximately 3 hours

Course Overview

  • The course familiarises the learner with the concept of data visualisation used for representing explanatory and exploratory information derived from the data.
  • Learn the importance of data visualization for drawing insights.
  • Learn various tools & techniques for Univariate, Bivariate & Multivariate data analysis.
  • Learn data visualization techniques including various summary and distribution charts such as Line Chart​, Time-Series Chart​, Bar Charts​, Histograms​, Area Charts,  2D Histograms​, Pie Charts​.

What’s included

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Lifetime Access

Access this project for life once completed

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Flexible Scheduling

Start learning online immediately, at your own pace

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Desktop Only

We recommend completing this project on a desktop

Syllabus

This course helps you understand different types of summary and distribution charts, which are majorly used to represent the data in a visible format to reveal trends and patterns. Learn how and when to use different types of charts to present actionable insights.

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.”

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.