IT Fundamentals- All About Data

IT Fundamentals: All About Data, available at $34.99, has an average rating of 3.86, with 27 lectures, 13 quizzes, based on 7 reviews, and has 53 subscribers.

You will learn about Learn how all digital information is encoded using just 1s and 0s. Understand the basics of data compression and why these techniques are critical to the ways we store and use data. Discover the five characteristics of server, storage and networking systems used in datacentres. Understand the main technologies used to store data including types of hard disk drives (HDD) and solid state drive (SSD). Describe enterprise storage technologies including RAID, SAN, NAS, Unified, Hyperconverged and Object. Learn how data can be used to underpin decision making including the three types of analytics. Gain clarity about the capabilities of data science and advanced analytic techniques. This course is ideal for individuals who are Technical professionals interested in how data is encoded, stored and managed inside datacentres. or Beginners as well as intermediate learners wishing to expand their IT knowledge. or Pupils at school wishing to augment their learning in computer science or similar topics. or Students interested in a role in IT or working with data who need to know critical concepts. or Business professionals wishing to improve their data fluency. It is particularly useful for Technical professionals interested in how data is encoded, stored and managed inside datacentres. or Beginners as well as intermediate learners wishing to expand their IT knowledge. or Pupils at school wishing to augment their learning in computer science or similar topics. or Students interested in a role in IT or working with data who need to know critical concepts. or Business professionals wishing to improve their data fluency.

Enroll now: IT Fundamentals: All About Data

Summary

Title: IT Fundamentals: All About Data

Price: $34.99

Average Rating: 3.86

Number of Lectures: 27

Number of Quizzes: 13

Number of Published Lectures: 27

Number of Published Quizzes: 13

Number of Curriculum Items: 40

Number of Published Curriculum Objects: 40

Original Price: $22.99

Quality Status: approved

Status: Live

What You Will Learn

Learn how all digital information is encoded using just 1s and 0s.

Understand the basics of data compression and why these techniques are critical to the ways we store and use data.

Discover the five characteristics of server, storage and networking systems used in datacentres.

Understand the main technologies used to store data including types of hard disk drives (HDD) and solid state drive (SSD).

Describe enterprise storage technologies including RAID, SAN, NAS, Unified, Hyperconverged and Object.

Learn how data can be used to underpin decision making including the three types of analytics.

Gain clarity about the capabilities of data science and advanced analytic techniques.

Who Should Attend

Technical professionals interested in how data is encoded, stored and managed inside datacentres.

Beginners as well as intermediate learners wishing to expand their IT knowledge.

Pupils at school wishing to augment their learning in computer science or similar topics.

Students interested in a role in IT or working with data who need to know critical concepts.

Business professionals wishing to improve their data fluency.

Target Audiences

Technical professionals interested in how data is encoded, stored and managed inside datacentres.

Beginners as well as intermediate learners wishing to expand their IT knowledge.

Pupils at school wishing to augment their learning in computer science or similar topics.

Students interested in a role in IT or working with data who need to know critical concepts.

Business professionals wishing to improve their data fluency.

We all live in an information economy and data, alledgedly, is the new oil. But how is it that ones and zeros, which are all computers have to work with, can represent everything from numbers through to your favourite films or the music for your “first dance”? How is so much data stored in datacentres (or the cloud)? How is all this data protected? And how can we put it to use to improve our decision making?

All these questions and many more, are answered in this course.

You may be thinking of starting a career in IT, or maybe you are already there but want to branch out. Or possibly, you just have a passing interest in technology and want to know more. This course has you covered.

Based on over 25 years working in the IT industry, and many of those spent teaching upcoming IT professionals, this course has beginners and more advanced practitioners in mind. The content is explained in plain language whilst covering some fairly complex topics. Rather than just sticking to an academic curriculum aligned to a specific exam, the approach is to take a more practical stance and share perspectives of someone who has been working in the industry for many years. I have also kept the scope of this course quite narrow. It is centred on data, what it is, how it is stored within datacentres and how it is used.

If you are thinking of pursuing exams, for example those offered by CompTIA, this course will get you started. It explains some key concepts, but is not restrained by the scope of any particular exam.

If you want to know more about the style of the course, feel free to take the taster modules. You can also see more of my work on my YouTube Channel – simply search for 2DeCipher. Here are some viewer comments:

“This is by far the most clear explanation I have been provided with ever. Thank you!”

“This is one of the best videos explaining hyperconvergence!”

“Wow, so clarifying. Thanks a lot.”

“Damn well explained! Awesome!”

So what’s covered in this course? Here is the breakdown:

Section 1: The basics of digital data

Working with binary and Hex

Digitization – Encoding

Analogue to Digital Conversion – Audio and Sensors

Analogue to Digital Conversion – Pictures and Video

Lossless Data Compression + File Formats

Lossy Data Compression

Data Streaming

Section 2: Data storage technologies

Storage Drive Types

SPAMS – Characteristics of Datacentre Systems

Redundancy

Data Protection

Direct Attached Storage (DAS)

RAID 0 – Striping

RAID 5 – Striping + Parity

Hardware RAID

Section 3: Shared (Networked) Storage Systems

Network Attached Storage (NAS)

Storage Area Network (SAN) + Unified Storage

Let’s Design a Unified Storage System

Scale-Up versus Scale-Out

Object Storage

Hyper Converged

Section 4: Using Data: Analytics and Data Science

What is data analytics – Part 1

Data analytics Part 2 – False Insights

Data Analytics Part 3 – Data Integration

Predicting the future and other data science tricks

What is Data Science?

There is so much more I could add whilst still maintaining focus on data but I wanted to get this out there. The great news is that once you are enrolled, you will get access to any future content. I am also open to feedback and ideas, so just let me know what you would like to see.

Course Curriculum

Chapter 1: Course Overview

Lecture 1: Course Overview

Chapter 2: The basics of digital data

Lecture 1: Bits and Bytes / Binary and Hex

Lecture 2: Encoding – Text and Numbers

Lecture 3: Analogue to Digital Conversion – Audio and Sensors

Lecture 4: Analogue to Digital Conversion – Pictures and Video

Lecture 5: Lossless Data Compression + File Headers and Metadata

Lecture 6: Lossy Data Compression

Lecture 7: Data Streaming

Chapter 3: Data storage technologies

Lecture 1: Storage Drive Types

Lecture 2: SPAMS – the five characteristics of systems built for datacentres

Lecture 3: Redundancy

Lecture 4: Data Protection

Lecture 5: Direct Attached Storage (DAS)

Lecture 6: RAID 0 – Striping

Lecture 7: RAID 5 – Striping plus Parity

Lecture 8: Hardware vs Software RAID

Chapter 4: Shared (Networked) Storage Systems

Lecture 1: Network Attached Storage (NAS)

Lecture 2: Storage Area Network (SAN) and Unified Storage

Lecture 3: Lets Design a Unified Storage System

Lecture 4: Scale-Up versus Scale-Out

Lecture 5: Object Storage

Lecture 6: Hyper Converged Infrastructure (HCI)

Chapter 5: Using Data: Analytics and Data Science

Lecture 1: What is Data Analytics – Part 1

Lecture 2: Data Analytics – Part 2 – False Insights (how it can all go wrong)

Lecture 3: Data Analytics – Part 3 – Data Integration / Preparation

Lecture 4: Predicting the future and other data science tricks

Lecture 5: What is Data Science?

Instructors

Simon Fowler
2DeCipher: Technology Made Simple

Rating Distribution

1 stars: 0 votes

2 stars: 1 votes

3 stars: 3 votes

4 stars: 1 votes

5 stars: 2 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!