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.
Key Technologies in Data Analytics Specialization
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Key Technologies in Data Analytics Specialization
Understand the technologies behind data analysis. Master techniques and terminology used in Data Science
Instructor: Erik Herman
2,095 already enrolled
Included with 
Get in-depth knowledge of a subject
(57 reviews)
Beginner level
Recommended experience
1 month at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
Get in-depth knowledge of a subject
(57 reviews)
Beginner level
Recommended experience
1 month at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
What you'll learn
Skills you'll gain
- Big Data
- Cloud Computing
- Data Storage
- Analytics
- Data Architecture
- Public Cloud
- Software As A Service
- Cloud Infrastructure
- Cloud Computing Architecture
- Cloud Solutions
- Data Analysis
- Cloud Services
- Cloud Platforms
- Statistical Analysis
- Analysis
- Data Processing
- Extract, Transform, Load
- Scalability
- Data Warehousing
- Data Visualization
What’s included
Shareable certificate
Add to your LinkedIn profile
Taught in English
66 practice exercises
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
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: SQL
Category: Data Collection
Category: Regression Analysis
Category: Data Cleansing
Category: Data Analysis
Category: Exploratory Data Analysis
Category: Predictive Analytics
Category: Data Mining
Category: Advanced Analytics
Category: Statistical Analysis
Category: Data Processing
Category: Spreadsheet Software
Category: Data Visualization
Category: Analytics
Category: Data Presentation
Category: Quantitative Research
Category: Statistics
Category: Descriptive Analytics
What you'll learn
Skills you'll gain
Category: Cloud Computing
Category: Public Cloud
Category: Hybrid Cloud Computing
Category: Private Cloud
Category: Infrastructure As A Service (IaaS)
Category: Platform As A Service (PaaS)
Category: Software As A Service
Category: Virtualization
Category: Scalability
Category: Cloud Solutions
Category: Cloud Services
Category: Cloud Storage
Category: Cloud Infrastructure
Category: Cloud Computing Architecture
Category: Cloud Platforms
What you'll learn
Skills you'll gain
Category: Data Warehousing
Category: Snowflake Schema
Category: Metadata Management
Category: Database Design
Category: Star Schema
Category: Extract, Transform, Load
Category: Data Storage
Category: Data Architecture
Category: Data Transformation
Category: Cloud Storage
Category: Data Mart
Category: Query Languages
What you'll learn
Skills you'll gain
Category: Big Data
Category: Real Time Data
Category: Data Lakes
Category: Data Analysis
Category: Data Storage
Category: Data Strategy
Category: Unstructured Data
Category: Data Collection
Category: Data Management
Category: Data Warehousing
Category: Analytics
Category: Data Processing
Category: Data Infrastructure
Category: Data Visualization
Category: Data Capture
Category: Data Architecture
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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.
More questions
Financial aid available,