Will I earn university credit for completing the Specialization?

No, this is not a university specialization.

What will I be able to do upon completing the Specialization?

Upon completing this specialization, you'll understand the concepts and tools used in a data analytics career.

Is this course really 100% online? Do I need to attend any classes in person?

This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.

Can I just enroll in a single course?

Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.

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.

Can I take the course for free?

No, you cannot take this course for free. 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. If you cannot afford the fee, you can apply for financial aid.

Key Technologies in Data Analytics Specialization

Understand the technologies behind data analysis. Master techniques and terminology used in Data Science

Instructor: Erik Herman

Included with Coursera Plus

Learn more

4 course series

Get in-depth knowledge of a subject

4.0

(57 reviews)

Beginner level

Recommended experience

4 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

4 course series

Get in-depth knowledge of a subject

4.0

(57 reviews)

Beginner level

Recommended experience

4 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

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.

Applied Learning Project

Learners will create a free AWS Cloud account, configure features, and load data into their new database.

Details to know

Shareable certificate

Add to your LinkedIn profile

Taught in English

66 practice exercises

See how employees at top companies are mastering in-demand skills

Learn more about Coursera for Business

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Advance your subject-matter expertise

Learn in-demand skills from university and industry experts
Master a subject or tool with hands-on projects
Develop a deep understanding of key concepts
Earn a career certificate from LearnQuest

Specialization - 4 course series

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.

Applied Learning Project

Learners will create a free AWS Cloud account, configure features, and load data into their new database.

Fundamentals of Data Analysis

Course 118 hours

What you'll learn

Explain the primary types of data analysis
Define the phases of the data analysis process
Identify tools and skills required to conduct data analysis

Skills you'll gain

Data Analysis, Descriptive Analytics, SQL, Exploratory Data Analysis, Predictive Analytics, Data Cleansing, Data Mining, Data Collection, Statistical Analysis, Quantitative Research, Data Presentation, Statistics, Analytics, Spreadsheet Software, Data Visualization, Data Processing, Data-Driven Decision-Making, and R (Software)

Fundamentals of Cloud Computing

Course 214 hours

What you'll learn

This course is the second 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 cloud computing. You will learn about the primary deployment models. We’ll go through the common cloud computing service models. The hands on material offers the opportunity to review and configure a cloud account. This course covers a wide variety of topics that are critical for understanding cloud computing and are designed to give you an introduction and overview as you begin to build relevant knowledge and skills.

Skills you'll gain

Cloud Computing, Platform As A Service (PaaS), Public Cloud, Software As A Service, Virtualization, Private Cloud, Hybrid Cloud Computing, Scalability, Infrastructure As A Service (IaaS), Cloud Solutions, Cloud Storage, Cloud Services, Cloud Computing Architecture, Cloud Platforms, and Cloud Infrastructure

Fundamentals of Data Warehousing

Course 314 hours

What you'll learn

Welcome to Fundamentals of Data Warehousing, the third 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 third 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 data warehousing. You will learn about the primary components of data warehousing. We’ll go through the common data warehousing architectures. The hands-on material offers to add storage to your cloud environment and configure a database. This course covers a wide variety of topics that are critical for understanding data warehousing and are designed to give you an introduction and overview as you begin to build relevant knowledge and skills.

Skills you'll gain

Data Warehousing, Database Design, Star Schema, Extract, Transform, Load, Metadata Management, Snowflake Schema, Data Mart, Query Languages, Data Transformation, Cloud Storage, Data Storage, and Data Architecture

Fundamentals of Big Data

Course 412 hours

What you'll learn

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.

Skills you'll gain

Big Data, Real Time Data, Data Lakes, Data Management, Data Storage, Data Architecture, Data Capture, Data Processing, Data Analysis, Data Warehousing, Unstructured Data, Data Infrastructure, Analytics, and Data Strategy

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructor

Erik Herman

LearnQuest

4 Courses13,770 learners

Offered by

LearnQuest

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Frequently asked questions

To complete the specialization, you should expect to spend 3-5 hours per week for 13 weeks.

Only a basic knowledge of computers and the internet are necessary to take this specialization. It starts from the beginning and will explain concepts in detail.

Because the courses build on one another, it is recommended that you take them in order.

Key Technologies in Data Analytics Specialization

What you'll learn

Skills you'll gain

Details to know

See how employees at top companies are mastering in-demand skills

Advance your subject-matter expertise