Latest Courses
ISTQB Artificial Intelligence Tester Sample ExamsCheck course
JAVA Programming Online Practice ExamCheck course
Programming for Kids and Beginners: Learn to Code in PythonCheck course
Practice Exams | Codeigniter 4 developer certificationCheck course
WordPress Practice Tests & Interview Questions (Basic/Adv)Check course
Git &Github Practice Tests & Interview Questions (Basic/Adv)Check course
Machine Learning and Deep Learning for Interviews & ResearchCheck course
Laravel | Build Pizza E-commerce WebsiteCheck course
101 - F5 CERTIFICATION EXAMCheck course
Master Python by Practicing 100 QuestionCheck course
ISTQB Artificial Intelligence Tester Sample ExamsCheck course
JAVA Programming Online Practice ExamCheck course
Programming for Kids and Beginners: Learn to Code in PythonCheck course
Practice Exams | Codeigniter 4 developer certificationCheck course
WordPress Practice Tests & Interview Questions (Basic/Adv)Check course
- 86% Learning Path: Big Data Visualization

Learning Path: Big Data Visualization

$12.99Track price

Add your review
Add to wishlistAdded to wishlistRemoved from wishlist 0
Add to compare
8.0/10 (Our Score)
Product is rated as #58 in category Big Data

Data visualization is becoming critical in today s world of Big Data. If you are a data analyst or a Big Data enthusiast and want to explore the various techniques of data visualization, then this Learning Path is for you! This Learning Path focus on building a variety of data visualizations using multiple tools and techniques!

Packt s Video Learning Paths are a series of individual video products put together in a logical and stepwise manner such that each video builds on the skills learned in the video before it.

The highlights of this Learning Path are:

Let s take a quick look at your learning journey. To start with, we will walk you through an overview of the basic principles of data visualization, why they are important, and how they can be used to make visualizations highly effective. We will then walk you through some of the basics such as how to build visualizations using best practices. You’ll also learn how to identify data types and match them with the appropriate display formats.
Then, we will focus on building a variety of data visualizations using multiple tools and techniques. This is where we will put the theory together with actual hands–on experience of creating effective visualizations. Our efforts will be spent on choosing the best display types for our dataset, and then applying best practice principles to our selected charts, maps, or network graphs. We will spend considerable time on some of the most useful chart types, followed by a section where we explore the multiple uses of maps as visualizations. Finally, we will focus on understanding network graphs, a powerful tool for displaying relationship data.

Instructor Details

Packt has been committed to developer learning since 2004. A lot has changed in software since then - but Packt has remained responsive to these changes, continuing to look forward at the trends and tools defining the way we work and live. And how to put them to work. With an extensive library of content - more than 4000 books and video courses -Packt's mission is to help developers stay relevant in a rapidly changing world. From new web frameworks and programming languages, to cutting edge data analytics, and DevOps, Packt takes software professionals in every field to what's important to them now. From skills that will help you to develop and future proof your career to immediate solutions to every day tech challenges, Packt is a go-to resource to make you a better, smarter developer. Packt Udemy courses continue this tradition, bringing you comprehensive yet concise video courses straight from the experts.

Specification: Learning Path: Big Data Visualization

Duration

5 hours

Year

2017

Level

Intermediate

Certificate

Yes

Quizzes

Yes

2 reviews for Learning Path: Big Data Visualization

3.7 out of 5
0
1
1
0
0
Write a review
Show all Most Helpful Highest Rating Lowest Rating
  1. Anne Myrcel Reyes Martinez

    good points were discussed, i would have preferred it was structured to start with the topics of understanding or knowing the data first before we push with the different kind of charts to use depending on what the analyst or what you learned from the data.

    Helpful(0) Unhelpful(0)You have already voted this
  2. Mark Jordan Sabino

    more or simpler examples could have been much helpful in understanding the topics

    Helpful(0) Unhelpful(0)You have already voted this

    Add a review

    Your email address will not be published. Required fields are marked *

    This site uses Akismet to reduce spam. Learn how your comment data is processed.

    Learning Path: Big Data Visualization
    Learning Path: Big Data Visualization

    $12.99

    Price tracking

    Java Code Geeks
    Logo
    Register New Account
    Compare items
    • Total (0)
    Compare