Data Understanding

This learning track provides a hands-on experience with Data Exploration, Data Visualization, Univariate and Multivariate Analysis, Correlation, Covariance and application of the techniques on real-world data in Python.

  • icons final-02 3 Courses
  • icons final-03 10 Projects & Case Studies
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    Difficulty: Beginner

    No prior knowledge or experience with data required

  • Asset 1
    Duration: Approximately 3-4 Weeks

    Suggested learning pace is 5hr/week

Course Overview

  • Learn the fundamental concepts of data visualization through various types of plots to perform detailed exploratory data analysis.
  • Learn how to perform detailed univariate analysis using visualizations like frequency distributions and statistical concepts like Skewness and Kurtosis to gain insights.
  • Learn how to perform detailed multivariate analysis using visualizations like Stacked Bar Chart, Box Plot, Scatter Plot and statistical concepts like Correlation analysis.
  • Learn how to apply the concepts learned on live data across industries to generate insights.

What’s included

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Shareable Certificate

Earn a sharable certificate upon completion

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Lifetime Access

Access this learning track 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 learning track on a desktop

Skills You Will Learn

Data Visualization

Univariate Analysis

Multivariate Analysis

Exploratory Data Analysis

Correlation Analysis

Density Plots

Collinearity Analysis

Syllabus

  • Basic Data Visualization Methods- I
  • Univariate Exploratory Data Analysis using Python
  • Multivariate Exploratory Data Analysis using Python

  • Analyzing Customer Rating on Voice Call Quality Across Different Regions
  • Historical Campaign Performance Dashboard
  • Customer Segmentation for e-Commerce retailer
  • Application Of Descriptive Analytics in Banking – A Credit Card Use Case
  • Measuring Online Customer Loyalty – Application of RFM (Recency, Frequency, Monetary)
  • Analyze Credit Default Data – Application of Descriptive Analysis Techniques
  • COVID-19 Data Exploration & Visualization
  • Analyzing Wireless Data Speed Across Different Regions
  • Identify the Top Performing Players in a Domestic Cricket League – Application of Descriptive Analysis Techniques
  • Exploratory Data Analysis of Manufacturing Industry Accidents for Industrial Safety and Healthcare Analytics

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.

Learner Outcomes

Complete learning tracks 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.

  • Understanding of the fundamental concepts of data visualization through different types of plots like density plots, bar charts, line charts etc. and perform exploratory data analysis.
  • Understand and apply various techniques of univariate and multivariate analysis like Correlation, Skewness, Kurtosis etc.
  • Apply the knowledge of data visualization and statistical analysis on live data across industries.
  • Interpretation of the outcome of the applied techniques.
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“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
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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.