Fundamentals of Big Data

This course is part of Key Technologies in Data Analytics Specialization

Instructor: LearnQuest Network

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3 modules

Gain insight into a topic and learn the fundamentals.

30 reviews

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

3 modules

Gain insight into a topic and learn the fundamentals.

30 reviews

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

Skills you'll gain

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

13 assignments

Taught in English

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This course is part of the Key Technologies in Data Analytics Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

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There are 3 modules in this course

Welcome to Fundamentals of Big Data, the fourth course of the Key Technologies of Data Analytics specialization. By enrolling in this course, you are taking the next step in your career in data analytics. This course is the fourth of a series that aims to prepare you for a role working in data analytics. In this course, you will be introduced to many of the core concepts of big data. You will learn about the primary systems used in big data. We’ll go through phases of a common big data life cycle. This course covers a wide variety of topics that are critical for understanding big data and are designed to give you an introduction and overview as you begin to build relevant knowledge and skills.

In the first module of the course, we'll learn about core concepts of big data, including working with large data sets, big data strategies, and big data technologies. By the end of this module, you will know how to identify these aspects of big data and their use cases. So let's get started!

What's included

9 videos3 readings4 assignments6 discussion prompts

9 videos Total 10 minutes

Course Introduction And Objectives 1 minute
Module Introduction And Objectives 1 minute
Introduction To Large Data Sets 2 minutes
Large Data Sets In Your Reading 0 minutes
Introduction To Big Data Strategies 2 minutes
Big Data Strategies In Your Reading 0 minutes
Introduction To Big Data Technologies 2 minutes
Big Data Technologies In Your Reading 0 minutes
Module 1 Summary 0 minutes

3 readings Total 30 minutes

Practical Advice For Analysis Of Large, Complex Data Sets 10 minutes
How To Define A Big Data Strategy 10 minutes
Top 10 Big Data Technologies 10 minutes

4 assignments Total 120 minutes

Module 1 Graded Quiz 30 minutes
Large Data Sets 30 minutes
Big Data Strategies 30 minutes
Big Data Technologies 30 minutes

6 discussion prompts Total 60 minutes

Why Is Bigger Better? 10 minutes
Research Large Data Sets And Share With The Group 10 minutes
We're Gonna Need A Bigger Database! 10 minutes
Research Big Data Strategies And Share With The Group 10 minutes
Big Data Needs Big Tech 10 minutes
Research Big Data Technologies And Share With The Group 10 minutes

In the second module of this course, we'll learn about the primary characteristics of a big data system, including volume, velocity, and variety.

What's included

9 videos4 readings4 assignments6 discussion prompts

9 videos Total 10 minutes

Module Introduction And Objectives 0 minutes
Introduction To Volume 1 minute
Big Data Volume In Your Reading 0 minutes
Introduction To Velocity 2 minutes
Velocity In Your Reading 0 minutes
Introduction To Variety 1 minute
Variety In Your Reading 0 minutes
Hands-On: Add Data in Your AWS Environment 4 minutes
Module 2 Summary 0 minutes

4 readings Total 40 minutes

Data Awareness: Best Practices for Managing Massive Unstructured Data Volumes 10 minutes
Big Data: Forget Volume and Variety, Focus On Velocity 10 minutes
6 Examples Of Data Variety 10 minutes
Add Data To Your AWS Environment 10 minutes

4 assignments Total 120 minutes

Module 2 Graded Quiz 30 minutes
Volume 30 minutes
Velocity 30 minutes
Variety 30 minutes

6 discussion prompts Total 60 minutes

Mo' Data, Mo' Problems 10 minutes
Research Volume In Big Data And Share With The Group 10 minutes
Try To Keep Up 10 minutes
Research Velocity In Big Data And Share With The Group 10 minutes
Variety Is The Spice Of Big Data 10 minutes
Research Variety In Big Data And Share With The Group 10 minutes

In the third module of this course, we'll learn about the phases of a big data project, including data ingestion, data persistence, computing and analysis, and data visualization.

What's included

10 videos5 readings5 assignments7 discussion prompts

10 videos Total 8 minutes

Module Introduction And Objectives 1 minute
Introduction To Data Ingestion 2 minutes
Data Ingestion In Your Reading 0 minutes
Introduction To Data Persistence 1 minute
Data Persistence In Your Reading 0 minutes
Introduction To Computing And Analysis 1 minute
Computing And Analysis In Your Reading 0 minutes
Introduction To Visualization 1 minute
Visualization In Your Reading 0 minutes
Module 3 Summary 0 minutes

5 readings Total 50 minutes

Data Ingestion: Pipeline, Architecture, Tools, Challenges 10 minutes
Understanding Big Data Persistence 10 minutes
Research Data Persistence And Share With The Group 10 minutes
Building A Data Platform For Mission Critical Analytics 10 minutes
Importance Of Data Visualization For Your Business 10 minutes

5 assignments Total 150 minutes

Module 3 Graded Quiz 30 minutes
Data Ingestion 30 minutes
Data Persistence 30 minutes
Computing And Analysis 30 minutes
Visualization 30 minutes

7 discussion prompts Total 70 minutes

Data In, Analytics Out 10 minutes
Research Data Ingestion And Share With The Group 10 minutes
Persistence Pays 10 minutes
Does Not Compute 10 minutes
Research Computing And Analysis And Share With The Group 10 minutes
A Picture's Worth 1000 Words 10 minutes
Research Visualization And Share With The Group 10 minutes

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Instructor

Instructor ratings

(7 ratings)

LearnQuest Network

LearnQuest

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LearnQuest

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Reviewed on Jun 7, 2021

It will Give me a very fresh experience of Big Data, prof. Erik Herman has excellent capabillies to involve studnets in E-Learning.

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Frequently asked questions

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.