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

4.4
stars
18 ratings

Erik Herman

Offered By

Key Technologies in Data Analytics SpecializationLearnQuest

About this Course

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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.

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Course 4 of 4 in the

Key Technologies in Data Analytics Specialization

Approx. 12 hours to complete

English

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Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Course 4 of 4 in the

Key Technologies in Data Analytics Specialization

Approx. 12 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructor

Instructor rating

4.8/5 (5 Ratings)

Erik Herman

5,052 Learners

10 Courses

Offered by

LearnQuest

LearnQuest is the preferred training partner to the world’s leading companies, organizations, and government agencies. Our team boasts 20+ years of experience designing, developing and delivering a full suite industry-leading technology education classes and training solutions across the globe. Our trainers, equipped with expert industry experience and an unparalleled commitment to quality, facilitate classes that are offered in various delivery formats so our clients can obtain the training they need when and where they need it.

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Syllabus - What you will learn from this course

Week

Week 1

4 hours to complete

Big Data Concepts

4 hours to complete

9 videos (Total 10 min), 3 readings, 4 quizzes

9 videos

Course Introduction And Objectives1m

Module Introduction And Objectives35s

Introduction To Large Data Sets2m

Large Data Sets In Your Reading19s

Introduction To Big Data Strategies2m

Big Data Strategies In Your Reading22s

Introduction To Big Data Technologies2m

Big Data Technologies In Your Reading16s

Module 1 Summary15s

3 readings

Practical Advice For Analysis Of Large, Complex Data Sets10m

How To Define A Big Data Strategy10m

Top 10 Big Data Technologies10m

4 practice exercises

Large Data Sets30m

Big Data Strategies30m

Big Data Technologies30m

Module 1 Graded Quiz30m

Week

Week 2

4 hours to complete

Big Data Systems

4 hours to complete

9 videos (Total 10 min), 4 readings, 4 quizzes

9 videos

Module Introduction And Objectives27s

Introduction To Volume1m

Big Data Volume In Your Reading20s

Introduction To Velocity1m

Velocity In Your Reading18s

Introduction To Variety1m

Variety In Your Reading19s

Hands-On: Add Data in Your AWS Environment4m

Module 2 Summary15s

4 readings

Data Awareness: Best Practices for Managing Massive Unstructured Data Volumes10m

Big Data: Forget Volume and Variety, Focus On Velocity10m

6 Examples Of Data Variety10m

Add Data To Your AWS Environment10m

4 practice exercises

Volume30m

Velocity30m

Variety30m

Module 2 Graded Quiz30m

Week

Week 3

5 hours to complete

Big Data Life Cycles

5 hours to complete

10 videos (Total 8 min), 5 readings, 5 quizzes

10 videos

Module Introduction And Objectives36s

Introduction To Data Ingestion2m

Data Ingestion In Your Reading20s

Introduction To Data Persistence1m

Data Persistence In Your Reading15s

Introduction To Computing And Analysis1m

Computing And Analysis In Your Reading18s

Introduction To Visualization1m

Visualization In Your Reading20s

Module 3 Summary18s

5 readings

Data Ingestion: Pipeline, Architecture, Tools, Challenges10m

Understanding Big Data Persistence10m

Research Data Persistence And Share With The Group10m

Building A Data Platform For Mission Critical Analytics10m

Importance Of Data Visualization For Your Business10m

5 practice exercises

Data Ingestion30m

Data Persistence30m

Computing And Analysis30m

Visualization30m

Module 3 Graded Quiz30m

Reviews

4.4

5 reviews

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4 stars
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3 stars
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2 stars
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TOP REVIEWS FROM FUNDAMENTALS OF BIG DATA

by DZJun 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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About the Key Technologies in Data Analytics Specialization

This specialization aims to prepare you for a role working in data analytics. The first course is Fundamentals of Data Analysis. You’ll be introduced to core concepts and you’ll learn about the tools and skills required to conduct data analysis.

The second course, Fundamentals of Cloud Computing, will introduce you to core concepts of cloud computing and the primary deployment and service models. The hands on material offers the opportunity to review and configure a cloud account. In Fundamentals of Data Warehousing, you will learn core concepts of data warehousing. You will learn about the primary components and architectures of data warehousing. The hands on material offers the opportunity to review and configure cloud storage options. In Fundamentals of Big Data, you will be introduced to concepts, systems and life cycles of big data. The hands on material offers you the opportunity to load data into your cloud account.

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. 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.
What will I get if I subscribe to this Specialization?
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. If you only want to read and view the course content, you can audit the course for free.
Is financial aid available?
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.

More questions? Visit the Learner Help Center.

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Fundamentals of Big Data

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