This specialization aims to prepare you for a role working in data analytics. The first course is Fundamentals of Data Analysis. You鈥檒l be introduced to core concepts and you鈥檒l 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
2,111 already enrolled
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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
- Data Architecture
- Statistical Analysis
- Cloud Solutions
- Cloud Infrastructure
- Cloud Computing Architecture
- Cloud Services
- Data Analysis
- Analytics
- Public Cloud
- Software As A Service
- Data Processing
- Data Warehousing
- Analysis
- Cloud Platforms
- Big Data
- Scalability
- Extract, Transform, Load
- Data Storage
- Cloud Computing
- Data Strategy
What鈥檚 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: Data Analysis
Category: Exploratory Data Analysis
Category: SQL
Category: Data Collection
Category: Data Mining
Category: Predictive Analytics
Category: Descriptive Analytics
Category: Data Cleansing
Category: Data Presentation
Category: Statistical Analysis
Category: Data-Driven Decision-Making
Category: R (Software)
Category: Data Processing
Category: Statistics
Category: Data Visualization
Category: Quantitative Research
Category: Analytics
Category: Spreadsheet Software
What you'll learn
Skills you'll gain
Category: Cloud Computing
Category: Scalability
Category: Public Cloud
Category: Infrastructure As A Service (IaaS)
Category: Hybrid Cloud Computing
Category: Software As A Service
Category: Platform As A Service (PaaS)
Category: Virtualization
Category: Private Cloud
Category: Cloud Computing Architecture
Category: Cloud Solutions
Category: Cloud Platforms
Category: Cloud Services
Category: Cloud Storage
Category: Cloud Infrastructure
What you'll learn
Skills you'll gain
Category: Data Warehousing
Category: Database Design
Category: Star Schema
Category: Extract, Transform, Load
Category: Snowflake Schema
Category: Metadata Management
Category: Cloud Storage
Category: Data Storage
Category: Data Architecture
Category: Data Mart
Category: Data Transformation
Category: Query Languages
What you'll learn
Skills you'll gain
Category: Big Data
Category: Real Time Data
Category: Data Storage
Category: Data Management
Category: Data Lakes
Category: Analytics
Category: Data Warehousing
Category: Data Processing
Category: Data Architecture
Category: Data Infrastructure
Category: Unstructured Data
Category: Data Strategy
Category: Data Analysis
Category: Data Capture
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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,