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Data Science Fundamentals

Boost your employability and learn the basics of data science

In partnership with

Overview

If you’re looking to gain an introduction to this rapidly growing field, then the Data Science Fundamentals short course is perfect for you.

Open Colleges has partnered with Avanade to bring you the Data Science Fundamentals short course. This short online course will provide you with the essential, foundational knowledge and skills you need to understand data science.

The ability to understand the fundamentals of data science and knowing how to critically apply it will be a key factor for employability in the emerging economy. As more and more organisations look for ways to utilise the power of data, there’s a growing need for trained professionals with the skills and knowledge to collate, analyse and extract the right answers from big data. 

This course is ideal for individuals looking to learn the fundamentals of data science in a short amount of time; and as it’s conducted exclusively online, you can choose to study whenever and wherever you are.

 

What you’ll learn

In this course you’ll learn:

  • about data science in the workplace first-hand through business cases;
  • the principles of data science and concepts behind data science;
  • the basic concepts of machine learning modelling, data visualisation and reporting, and data manipulation;
  • key concepts and benefits of HITL application in model monitoring; and
  • how to use the toolsets most commonly utilised in data science work;

 

Benefits to you

On successfully completing this course, you’ll:

  • understand data science terminology and key concepts;
  • gain insight into the human, AI and machine learning relationship;
  • understand how and when to use important data science toolsets; and
  • have a clear understanding of the different career pathways in the data science field.

 

Complete at your pace

The Data Science Fundamentals short course can be completed at your own pace. This is an online course, which means you can study whenever and wherever it’s most convenient for you.

Course at a Glance

LEARNING, TOOLS & RESOURCES

Self-check quizzes, case studies and practical activities

PRACTICE

Planning a data mining project and managing data science toolsets

COMPLETION ESTIMATE

2 - 3 hours

WHO IS THIS COURSE FOR

  • Anyone looking to gain an introduction to data science

  • Professionals looking to expand their skillset

ACCESS

3 months

REQUIREMENTS

There are no pre-requisites for this course.

Whether you’re currently working and want to expand your skillset or are considering starting a whole new career, the Data Science Fundamentals short course can help you reach your goals.

This course is especially beneficial for those who are completely new to the world of data science and are looking to learn more about this expanding field of work. It’s ideal for individuals who are wanting to gain a basic understanding of the principles, terminology, toolsets, and applications of data science in a variety of contexts.

Data science is a rapidly growing area of expertise, and there is high demand for skilled professionals. The Data Science Fundamentals short course is a great place for you to begin your data science journey.

 

This course is ideal for:

  • people with little to no existing knowledge of data science who want to improve their understanding;
  • those who are exploring the data science career path;
  • professionals looking to expand their existing skillset and strengthen their employment opportunities; and
  • businesses who are looking to support talent development within their organisation.

 

This course also addresses some common issues, such as:

  • decoding data science jargon – How can I learn the lingo of the data science world?
  • becoming a Data Scientist – What does it take to follow a successful career in this industry?
  • data mining – What’s the best way to plan a data mining project?
  • machine learning – How do Data Scientists develop and implement machine learning models?

In this first section of the course you’ll cover the basics of data science. The first steppingstone to understanding data science and the industry at large is comprehending industry terminology and knowing how and what it’s applied to. Then you’ll cover off the many different uses for data science and what it takes to actually pursue a successful career path in this industry.

Learning content

  • Understanding data science buzzwords
  • Data science applications
  • Recipe to be a Data Scientist

Learning activities

  • Reflection on data science buzzwords and the skillset of the Data Scientist
  • Start building personal mini glossary of data science terms and their definition
  • Explore typical data science applications
  • Business case readings

Knowledge quiz

  • Topic 1 self-check

Topic takeaways and tools

  • Demonstrate an understanding of various industry jargon and know how and when it’s used
  • Learn about the core skills and knowledge needed to become a Data Scientist

Data mining and machine learning are two key pillars of data science, so it’s imperative that you understand what they are and how they’re used. In this module, you’ll gain an introduction to both and how they’re applied.

Learning content

  • Cross industry standard process for data mining (CRISP-DM)
  • Human-in-the-Loop (HITL) machine learning models

Learning activities

  • Reflection on the six CRISP-DM steps and methodology
  • Further reading on the relationship between humans and machines

Knowledge quiz

  • Topic 2 self-check

Topic takeaways and tools

  • Plan a data mining project
  • Learn about the relationship between humans, AI and machine learning
  • HITL application and benefits

A Data Scientist has many different tools at their disposal. But knowing how and when to use them is key. Not all tools are right for the job, and you’ll need to know which ones to use depending on what kind of data you’re looking at and what information you want to extract.

Learning content

  • Data science tools for beginners
  • A day in the life of a Data Scientist

Learning activities

  • Reflection on data science tools
  • CRISP-DM case study

Knowledge quiz

  • Topic 3 self-check

Topic takeaways and tools

  • Learn about the different toolsets for beginners
  • Understand the three functional areas of these toolsets: machine learning modelling, visualisation and reporting and data manipulation
Implement and manage different data science tools

Upon enrolling and paying the one-time fee, within minutes you’ll be granted access to OpenSpace, our world-class learning platform. Here you can login and start your learning immediately.

Watch our short video for more information on OpenSpace and how it works.

 

 

This course consists of:

1. VIDEOS brought to you by an experienced agile coach and teacher, who will guide you through the content.

2. INTERACTIVE CONTENT that will help you further your knowledge with activities, resources and articles.

3. QUIZZES to test the progress of your knowledge.

4. PEER SHARING ACTIVITIES that give you an opportunity to reflect and practice agile exercises with fellow students studying the course.

5. RESOURCES and templates that you can download and put into practice straight away.

Here's some answers to the most commonly asked questions around this course.
  • What are Open Colleges short courses?

    Open Colleges short courses are learning assets created by Open Colleges which you can utilise to gain skills to fast-track your workplace success and grow your career. When you purchase a short course you get access to the learning assets within that short course. Assets include but are not limited to short video courses, audio versions and transcripts, as well as customised learning activities and resources which can be accessed via desktop and mobile devices.

  • What are the learning / self-check quiz activities?

    Throughout each topic / module, there'll be learning activities (also called self-check quizzes). They are designed to test your understanding of what you’ve read, seen and practiced. You may attempt a quiz at any time you are ready. They're not assessed and you do not need to submit them for marking as they are auto-marked. Your results and feedback will appear immediately after completing the quiz.

  • Are there any assessments I need to complete in this course?

    The theory assessment for this course consists of an online quiz. This quiz will be made available to you at the end of Topic 3.

    When the online quiz is successfully completed, the certificate of completion will be issued. You can attempt the assessment quiz as many times as you need to, but you need to answer all questions correctly before you can pass.

  • Will I receive a certificate or statement of completion when I successfully finish this short course?

    Yes, you'll receive an Open Colleges certificate of completion for your short course. Our short courses are custom designed to fast-track your workplace success and grow your career. As such, you'll not receive a qualification for completing a short course. If you’re interested in going on to study a recognised qualification, Open Colleges offer a wide range of nationally-recognised qualifications which can be browsed from our home page.

  • What are the minimum desktop and mobile requirements to view and use short courses?

    Our short courses are ideally accessed with a fast-broadband connection to enjoy a smooth learning experience. Assets can also be viewed over your mobile 4G connection with our iPhone or Android mobile application.

    All Open Colleges courses include the following minimum computer and audio-visual requirements.

    You’ll need the following:

    • Microsoft Office 2010 or equivalent
    • Broadband internet connection
    • 2GB of RAM
    • Adobe Reader XI or equivalent
    • Printer and associated software
    • Digital imaging software
    • File compression software

    For Windows users:

    • Microsoft Windows 7 or higher (Windows 8 recommended)
    • 1 Ghz or faster processer (2GHz recommended)
    • Adobe Flash Player 10 or higher

    For Mac OS users:

    • Mac OSX v10.5 or higher (Mac OSX v10.6 recommended)
    • 1 Ghz or faster processer (2GHz recommended)
    • Adobe Flash Player 10 or higher

    Audio-visual requirements:

    All learners will need access to software such as Adobe Reader, Windows Media Player, Windows Photo Viewer etc. to view online videos and images. The software mentioned is available as a free download from the internet.

  • How do I access the short course I purchased?

    Once you’ve purchased a short course, you’ll receive an email containing login information and simple instructions on how to get started and access your content within our OpenSpace learning portal. If you have not received an email please check your spam or junk folders within your email program to make sure it has not accidentally been filtered by your email program.

  • Can I get support with short courses?

    Although we have made every effort to make our OpenSpace learning platform as simple to use as possible, you can access support via the platform's menu after logging in. Here you can ask technical questions relating to navigating content or getting around the portal.

    Open Colleges does not offer support on the short course content from a tutoring\knowledge perspective.

     

  • Do I need to take the course in a specific order?

    We recommend taking the short course in order. This gives you an introduction and overview of the course, with each module or topic acting like a building block to prepare you for the next.

    You'll need to complete any knowedge-check quizzes that usually appear at the end of a module or topic, in order to receive your certificate of completion. Each quiz usually takes around 15 minutes to complete.

  • Are flexible payment options or government funding available?

    We do not offer payment plans or government funding for this course.

    The course price displayed includes GST and must be paid in full upfront, no discounts apply.

  • Can I call Open Colleges and purchase a short course over the phone?

    We do not facilitate the purchase of this short courses over the phone.  All enrolments for this course are conducted online.

  • Why do some short courses cost more than others?

    Prices for our short courses are based on the breadth of content assets contained within each course. As not all short courses contain the same amount of customised content, we have priced them appropriately to offer the best value for money.

  • Is my short course purchase refundable?

    Short courses are not refundable, subject to your rights under Australian Consumer Law. We encourage you to read the Terms and Conditions and to browse our short course program overview to make an informed decision regarding purchasing a short course.

  • How long will my short course take to complete?

    Our short courses are self-paced which means you have the flexibility to choose how and when you want to study.

    However, this short course does have a maximum duration of three months, so you'll need to finish your course within that time frame.

  • What is my short course expiry date?

    Your short course expiry date is based on the maximum duration of the course and your date of enrolment. Your course expiry date is three months from enrolment.

  • Is there a cooling off period?

    No, there is no cooling off period.

  • Can I cancel the short course?

    Subject to your rights under Australian consumer law, once you have purchased this short course you are unable to cancel. This course is non-refundable.

  • Are there any additional items, other than the course fees, that I will need to purchase if I study with Open Colleges?

    Nothing further is required except access to a printer to print your PDFs from the available resources section if desired.

  • Can I extend the short course?

    Subject to your rights under Australian consumer law, this course cannot be cancelled. However, you can extend it for up to one month. We may charge fees if you request an extension to the term of the short course. These fees are intended to cover our reasonable administrative costs and reflect the nature of short courses. In certain circumstances we may waive the fee for granting an extension.

    The fee is $50 for a one-month extension.

  • What fees are payable for cancellation or extension?

    We may charge fees if you request an extension to the term of the short course. These fees are intended to cover our reasonable administrative costs and reflect the nature of short courses. In certain circumstances we may waive the fee for granting an extension.

    The fee is $50 for a one-month extension.

  • How old do I need to be to enrol in this course?

    You must be at least 18 years of age and reside in Australia to be eligible to purchase a short course.

  • What are the terms and conditions of Open Colleges short courses?

    You can find our Terms and Conditions here. Our Privacy Policy can also be viewed here as this details how we use and handle your personal information. Note: We do not store your credit card details.

  • Who is this course delivered by?

    Open Colleges has co-created this course in partnership with Avanade. The content is delivered by Open Colleges and you will be using Open Colleges’ online learning platform, OpenSpace, to complete the course.

Got a question on the Data Science Fundamentals course? We aim to answer your questions same business day.

Overview

If you’re looking to gain an introduction to this rapidly growing field, then the Data Science Fundamentals short course is perfect for you.

Open Colleges has partnered with Avanade to bring you the Data Science Fundamentals short course. This short online course will provide you with the essential, foundational knowledge and skills you need to understand data science.

The ability to understand the fundamentals of data science and knowing how to critically apply it will be a key factor for employability in the emerging economy. As more and more organisations look for ways to utilise the power of data, there’s a growing need for trained professionals with the skills and knowledge to collate, analyse and extract the right answers from big data. 

This course is ideal for individuals looking to learn the fundamentals of data science in a short amount of time; and as it’s conducted exclusively online, you can choose to study whenever and wherever you are.

 

What you’ll learn

In this course you’ll learn:

  • about data science in the workplace first-hand through business cases;
  • the principles of data science and concepts behind data science;
  • the basic concepts of machine learning modelling, data visualisation and reporting, and data manipulation;
  • key concepts and benefits of HITL application in model monitoring; and
  • how to use the toolsets most commonly utilised in data science work;

 

Benefits to you

On successfully completing this course, you’ll:

  • understand data science terminology and key concepts;
  • gain insight into the human, AI and machine learning relationship;
  • understand how and when to use important data science toolsets; and
  • have a clear understanding of the different career pathways in the data science field.

 

Complete at your pace

The Data Science Fundamentals short course can be completed at your own pace. This is an online course, which means you can study whenever and wherever it’s most convenient for you.

Who's this for?

Whether you’re currently working and want to expand your skillset or are considering starting a whole new career, the Data Science Fundamentals short course can help you reach your goals.

This course is especially beneficial for those who are completely new to the world of data science and are looking to learn more about this expanding field of work. It’s ideal for individuals who are wanting to gain a basic understanding of the principles, terminology, toolsets, and applications of data science in a variety of contexts.

Data science is a rapidly growing area of expertise, and there is high demand for skilled professionals. The Data Science Fundamentals short course is a great place for you to begin your data science journey.

 

This course is ideal for:

  • people with little to no existing knowledge of data science who want to improve their understanding;
  • those who are exploring the data science career path;
  • professionals looking to expand their existing skillset and strengthen their employment opportunities; and
  • businesses who are looking to support talent development within their organisation.

 

This course also addresses some common issues, such as:

  • decoding data science jargon – How can I learn the lingo of the data science world?
  • becoming a Data Scientist – What does it take to follow a successful career in this industry?
  • data mining – What’s the best way to plan a data mining project?
  • machine learning – How do Data Scientists develop and implement machine learning models?

Course Content

In this first section of the course you’ll cover the basics of data science. The first steppingstone to understanding data science and the industry at large is comprehending industry terminology and knowing how and what it’s applied to. Then you’ll cover off the many different uses for data science and what it takes to actually pursue a successful career path in this industry.

Learning content

  • Understanding data science buzzwords
  • Data science applications
  • Recipe to be a Data Scientist

Learning activities

  • Reflection on data science buzzwords and the skillset of the Data Scientist
  • Start building personal mini glossary of data science terms and their definition
  • Explore typical data science applications
  • Business case readings

Knowledge quiz

  • Topic 1 self-check

Topic takeaways and tools

  • Demonstrate an understanding of various industry jargon and know how and when it’s used
  • Learn about the core skills and knowledge needed to become a Data Scientist

Data mining and machine learning are two key pillars of data science, so it’s imperative that you understand what they are and how they’re used. In this module, you’ll gain an introduction to both and how they’re applied.

Learning content

  • Cross industry standard process for data mining (CRISP-DM)
  • Human-in-the-Loop (HITL) machine learning models

Learning activities

  • Reflection on the six CRISP-DM steps and methodology
  • Further reading on the relationship between humans and machines

Knowledge quiz

  • Topic 2 self-check

Topic takeaways and tools

  • Plan a data mining project
  • Learn about the relationship between humans, AI and machine learning
  • HITL application and benefits

A Data Scientist has many different tools at their disposal. But knowing how and when to use them is key. Not all tools are right for the job, and you’ll need to know which ones to use depending on what kind of data you’re looking at and what information you want to extract.

Learning content

  • Data science tools for beginners
  • A day in the life of a Data Scientist

Learning activities

  • Reflection on data science tools
  • CRISP-DM case study

Knowledge quiz

  • Topic 3 self-check

Topic takeaways and tools

  • Learn about the different toolsets for beginners
  • Understand the three functional areas of these toolsets: machine learning modelling, visualisation and reporting and data manipulation
Implement and manage different data science tools

How it works

Upon enrolling and paying the one-time fee, within minutes you’ll be granted access to OpenSpace, our world-class learning platform. Here you can login and start your learning immediately.

Watch our short video for more information on OpenSpace and how it works.

 

 

This course consists of:

1. VIDEOS brought to you by an experienced agile coach and teacher, who will guide you through the content.

2. INTERACTIVE CONTENT that will help you further your knowledge with activities, resources and articles.

3. QUIZZES to test the progress of your knowledge.

4. PEER SHARING ACTIVITIES that give you an opportunity to reflect and practice agile exercises with fellow students studying the course.

5. RESOURCES and templates that you can download and put into practice straight away.

FAQs

Here's some answers to the most commonly asked questions around this course.

Open Colleges short courses are learning assets created by Open Colleges which you can utilise to gain skills to fast-track your workplace success and grow your career. When you purchase a short course you get access to the learning assets within that short course. Assets include but are not limited to short video courses, audio versions and transcripts, as well as customised learning activities and resources which can be accessed via desktop and mobile devices.

Throughout each topic / module, there'll be learning activities (also called self-check quizzes). They are designed to test your understanding of what you’ve read, seen and practiced. You may attempt a quiz at any time you are ready. They're not assessed and you do not need to submit them for marking as they are auto-marked. Your results and feedback will appear immediately after completing the quiz.

The theory assessment for this course consists of an online quiz. This quiz will be made available to you at the end of Topic 3.

When the online quiz is successfully completed, the certificate of completion will be issued. You can attempt the assessment quiz as many times as you need to, but you need to answer all questions correctly before you can pass.

Yes, you'll receive an Open Colleges certificate of completion for your short course. Our short courses are custom designed to fast-track your workplace success and grow your career. As such, you'll not receive a qualification for completing a short course. If you’re interested in going on to study a recognised qualification, Open Colleges offer a wide range of nationally-recognised qualifications which can be browsed from our home page.

Our short courses are ideally accessed with a fast-broadband connection to enjoy a smooth learning experience. Assets can also be viewed over your mobile 4G connection with our iPhone or Android mobile application.

All Open Colleges courses include the following minimum computer and audio-visual requirements.

You’ll need the following:

  • Microsoft Office 2010 or equivalent
  • Broadband internet connection
  • 2GB of RAM
  • Adobe Reader XI or equivalent
  • Printer and associated software
  • Digital imaging software
  • File compression software

For Windows users:

  • Microsoft Windows 7 or higher (Windows 8 recommended)
  • 1 Ghz or faster processer (2GHz recommended)
  • Adobe Flash Player 10 or higher

For Mac OS users:

  • Mac OSX v10.5 or higher (Mac OSX v10.6 recommended)
  • 1 Ghz or faster processer (2GHz recommended)
  • Adobe Flash Player 10 or higher

Audio-visual requirements:

All learners will need access to software such as Adobe Reader, Windows Media Player, Windows Photo Viewer etc. to view online videos and images. The software mentioned is available as a free download from the internet.

Once you’ve purchased a short course, you’ll receive an email containing login information and simple instructions on how to get started and access your content within our OpenSpace learning portal. If you have not received an email please check your spam or junk folders within your email program to make sure it has not accidentally been filtered by your email program.

Although we have made every effort to make our OpenSpace learning platform as simple to use as possible, you can access support via the platform's menu after logging in. Here you can ask technical questions relating to navigating content or getting around the portal.

Open Colleges does not offer support on the short course content from a tutoring\knowledge perspective.

 

We recommend taking the short course in order. This gives you an introduction and overview of the course, with each module or topic acting like a building block to prepare you for the next.

You'll need to complete any knowedge-check quizzes that usually appear at the end of a module or topic, in order to receive your certificate of completion. Each quiz usually takes around 15 minutes to complete.

We do not offer payment plans or government funding for this course.

The course price displayed includes GST and must be paid in full upfront, no discounts apply.

We do not facilitate the purchase of this short courses over the phone.  All enrolments for this course are conducted online.

Prices for our short courses are based on the breadth of content assets contained within each course. As not all short courses contain the same amount of customised content, we have priced them appropriately to offer the best value for money.

Short courses are not refundable, subject to your rights under Australian Consumer Law. We encourage you to read the Terms and Conditions and to browse our short course program overview to make an informed decision regarding purchasing a short course.

Our short courses are self-paced which means you have the flexibility to choose how and when you want to study.

However, this short course does have a maximum duration of three months, so you'll need to finish your course within that time frame.

Your short course expiry date is based on the maximum duration of the course and your date of enrolment. Your course expiry date is three months from enrolment.

No, there is no cooling off period.

Subject to your rights under Australian consumer law, once you have purchased this short course you are unable to cancel. This course is non-refundable.

Nothing further is required except access to a printer to print your PDFs from the available resources section if desired.

Subject to your rights under Australian consumer law, this course cannot be cancelled. However, you can extend it for up to one month. We may charge fees if you request an extension to the term of the short course. These fees are intended to cover our reasonable administrative costs and reflect the nature of short courses. In certain circumstances we may waive the fee for granting an extension.

The fee is $50 for a one-month extension.

We may charge fees if you request an extension to the term of the short course. These fees are intended to cover our reasonable administrative costs and reflect the nature of short courses. In certain circumstances we may waive the fee for granting an extension.

The fee is $50 for a one-month extension.

You must be at least 18 years of age and reside in Australia to be eligible to purchase a short course.

You can find our Terms and Conditions here. Our Privacy Policy can also be viewed here as this details how we use and handle your personal information. Note: We do not store your credit card details.

Open Colleges has co-created this course in partnership with Avanade. The content is delivered by Open Colleges and you will be using Open Colleges’ online learning platform, OpenSpace, to complete the course.

Enquiries

Got a question on the Data Science Fundamentals course? We aim to answer your questions same business day.

$499

3 MONTHS ACCESS

Course at a Glance

LEARNING, TOOLS & RESOURCES

Self-check quizzes, case studies and practical activities

PRACTICE

Planning a data mining project and managing data science toolsets

COMPLETION ESTIMATE

2 - 3 hours

WHO IS THIS COURSE FOR

  • Anyone looking to gain an introduction to data science

  • Professionals looking to expand their skillset

ACCESS

3 months

REQUIREMENTS

There are no pre-requisites for this course.

$499

3 MONTHS ACCESS