Key Technologies in Data Analytics Specialization

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

Instructor: Erik Herman

Access provided by Coursera Learning Team

2,029 already enrolled

4 course series

Get in-depth knowledge of a subject

4.0

(56 reviews)

Beginner level

Recommended experience

1 month

at 10 hours a week

Flexible schedule

Learn at your own pace

4 course series

Get in-depth knowledge of a subject

4.0

(56 reviews)

Beginner level

Recommended experience

1 month

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

Taught in English

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

Learn more about Coursera for Business

logos of Petrobras, TATA, Danone, Capgemini, P&G and L'Oreal

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

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV

Share it on social media and in your performance review

Specialization - 4 course series

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.

Fundamentals of Data Analysis

Course 118 hours3.6 (31 ratings)

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

Category: Data Analysis

Category: Data Cleansing

Category: Exploratory Data Analysis

Category: Data Collection

Category: Advanced Analytics

Category: SQL

Category: Predictive Analytics

Category: Spreadsheet Software

Category: Statistics

Category: Probability & Statistics

Category: Databases

Category: Descriptive Analytics

Category: Statistical Analysis

Category: Analytical Skills

Category: Analytics

Category: Query Languages

Category: Data Visualization Software

Category: Data-Driven Decision-Making

Fundamentals of Cloud Computing

Course 214 hours3.8 (36 ratings)

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

Category: Cloud Computing

Category: Software As A Service

Category: Platform As A Service (PaaS)

Category: Virtualization

Category: Public Cloud

Category: Scalability

Category: Hybrid Cloud Computing

Category: Private Cloud

Category: Infrastructure As A Service (IaaS)

Category: Cloud Services

Category: Cloud Infrastructure

Category: Cloud Solutions

Category: Cloud Computing Architecture

Category: Cloud Platforms

Fundamentals of Data Warehousing

Course 314 hours3.8 (62 ratings)

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

Category: Data Warehousing

Category: Extract, Transform, Load

Category: Metadata Management

Category: Star Schema

Category: Snowflake Schema

Category: Data Integration

Category: Database Design

Category: Cloud Storage

Category: Databases

Category: Data Architecture

Category: Database Architecture and Administration

Category: Data Storage

Category: Data Mart

Category: Query Languages

Fundamentals of Big Data

Course 412 hours4.0 (28 ratings)

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.