Introduction to Data Science

MICRODEGREE ( 3-6 MONTHS PART-TIME )



Without organisation and interpretation, data is essentially useless. It most cases, it takes someone with the skill to construct meaning from what seems like chaos. This course equips you with the fundamental skills needed to analyse data and construct meaning from data, thereby realising its value.

In partnership with

This course is supported by the authorities and organisations shown here. This ensures that our courses are of premium quality.


 Accredited by

The Computer Science Association of South Africa is a professional body formed in partnership with Google to promote, protect, and advance Computer Science and software development education in the country.


 Student rating

To read reviews from our students, click here

 Difficulty
 Advanced

This course is designed for students who have taken one of Hyperion's intermediate courses, or have equivalent experience (1 year + programming experience)



Course Overview


Technologies

This course covers the fundamentals of software development, offering a beginner-level introduction to the Python programming language and a comprehensive guide to data science libraries such as Matplotlib, Scikit Learn, NumPy, and NLTK, among others.

You’ll explore foundational concepts from thinking like a programmer, to practical usage of common software development tools and resources, to concepts such as data and control structures, control flow, object orientated programming, data analysis, data visualization, machine learning, natural language processing etc..





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Subscribe to online mentor support with Hyperion to take this course part-time or full-time.

Here's what you get:





Daily feedback on your code from an expert mentor




24/7 online chat with your mentor


Weekly 1:1 mentorship call


Post graduation career support


Full access to tailored course content and coding exercises


On-boarding guidance call with an expert mentor to check you're on the right course


Certificate and professional reference on completion



Learn how our online mentor support works



MENTOR SUPPORT OPTIONS

Monthly
$345
3 Months
$295 p/m
15% off, save $150


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Course syllabus




Our courses are designed to help you learn programming skills through practice. Here are the practical projects you'll complete with the help of a mentor as part of this course:


1


Introduction

Introduction to the programming language used in this course - Python. We equip you with the basics of programming here, which are crucial because the extent to which you can master this language will be the extent to which you can use it as a tool instead of it being a hinderance in your analysis of data.

2


Diving Deeper

This section encompasses the programming concepts and principles we use to solve complex problems. We explore these concepts to build a solid foundation for upcoming challenges.

3


Reinforcing Principles with Real World Problems

Data Science requires creativity. You need to analyse data and translate it into valuable information. The best way to learn this is through exposure to a diverse set of problems. This section seeks to reinforce principles you've learnt earlier on the backdrop of some interesting and challenging problems.

4


Exploring Large Data Sets

Natural language processing is at the intersection of computer science and linguistics. We try to write problems that are smart enough to interface with our spoken languages. This challenge is the backdrop to the challenging tasks you will use to reinforce and improve your analysis skills.

5


Machine Learning

Machine learning is about teaching machines how to adapt the changes in data. We want to move beyond the normal mould of a program,which is about executing the same instructions for any given set,but actually allow the data to shape how the program execution flows. This is the backdrop for the last section in this course.

1. Introduction

Introduction to the programming language used in this course - Python. We equip you with the basics of programming here, which are crucial because the extent to which you can master this language will be the extent to which you can use it as a tool instead of it being a hinderance in your analysis of data.

2. Diving Deeper

This section encompasses the programming concepts and principles we use to solve complex problems. We explore these concepts to build a solid foundation for upcoming challenges.

3. Reinforcing Principles with Real World Problems

Data Science requires creativity. You need to analyse data and translate it into valuable information. The best way to learn this is through exposure to a diverse set of problems. This section seeks to reinforce principles you've learnt earlier on the backdrop of some interesting and challenging problems.

4. Exploring Large Data Sets

Natural language processing is at the intersection of computer science and linguistics. We try to write problems that are smart enough to interface with our spoken languages. This challenge is the backdrop to the challenging tasks you will use to reinforce and improve your analysis skills.

5. Machine Learning

Machine learning is about teaching machines how to adapt the changes in data. We want to move beyond the normal mould of a program,which is about executing the same instructions for any given set,but actually allow the data to shape how the program execution flows. This is the backdrop for the last section in this course.







Students Reviews




Why Take This Course?



Data Science is a field that is growing at an exponential rate. Often mixed or related to terms like ‘Artificial Intelligence’. ‘Machine Learning’, and ‘Big Data’, it’s easy to get confused. This course has been developed in partnership with top research institutions in Data Science, such as the University of Cambridge, Oxford, and Edinburgh in the United Kingdom.

The course proceeds by introducing various fields related to Data Science. Data Science is centred around analysing certain types of data. Biological data is explored in a computational biology exercise, human language data in natural language processing tasks, and core machine learning - which powers much of Artificial Intelligence - is also introduced. General data visualisation and exploration toolkits are also explored.





1-on-1 mentor support for the duration of your course support, including live chat and code marking within 6 hours of assignment submission

Access to all course content , including hundreds of programming exercises and explanatory documents

Verified certificate on course completion, including post-course career support
A MicroDegree is a innovative new concept which goes beyond simply taking an online course. This certification is designed to get you the skills that employers believe are integral to get a job in software development. It focuses on learning by doing, and is typically comprised of 8 to 15 practical programming projects with hundreds of additional programming exercises and course content to support the skills needed to complete these projects.

All our MicroDegrees connect you with a 1:1 mentor, to which your practical programming projects are submitted for feedback. Your mentor works with you in real time to improve your code, solve programming exercises, and craft your learning path to match your intended career. Mentor support is available 24/7 online with face-to-face support offered in selected areas.





Prerequisites and Requirements


Prior programming experience requirements

- It is required that you have had at least 6 months programming experience or take one of our beginner courses in order to take this course.

General

- Motivation and dedication to learn, and apply your mind to more complex tasks in programming.

- Proficiency in both written and spoken English

Technical Proficiencies

-Good programming skills. Python is recommended, but proficiency with another high level will suffice

-Proficient with the use of a IDE’s such as CodeBlocks, Visual Studio, IDLE, or Eclipse

Equipment and Technologies

-Access to a computer and a broadband internet connection *

-A machine that meets the technical requirements to run Python. Please see: https://www.python.org/download/releases/2.7/. More information on the installation of Python will be given in the course

-An email address where course content and other important course information can be delivered.

*The use of Dropbox means you’re not required to be always online while taking this MicroDegree. Even if you don’t have internet - perhaps due to some loadshedding - you can still access your Dropbox folder and continue to edit/update files. As soon as you have internet again, your Dropbox will sync with your trainer and he or she will see your changes. Dropbox and our own website is also available on everything from Blackberry to Apple tablets - so you will be able to learn while on the move.





Looking for a job?


This course will you prepare you with the following jobs offered by examples of some of the
companies hiring Hyperion graduates:




Mobile native app developer

GetMyBoat

Read more


Senior PHP Developer

Webfluential

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DATA ENGINEER/ANALYST

Argon Asset Management (Pty) Ltd

Read more

Click here to see all jobs

Course Leads






Riaz
Moola

Course Director


Yazeed
Peters

Careers Consultant


Masood
Gool

Lead Mentor


Sobane
Motlomelo

Assistant Mentor


Jared
Ping

Assistant Mentor



Andrea Smith

+27 21 409 7880



Speak to a consultant


Not sure which course to take or have a question? Get in touch with our course consultants who are happy to advise.



Schedule a call

Click here to chat



Sobane Motlomelo

+27 21 409 7880







Hyperion supports Corporate Training

Are you currently employed?

Hyperion is happy to work with your employer to support them paying for your enrolment of this course.
Most companies have budgets for employee training - just ask your HR department or manager!



Are you an employer or Learning & Development Manager ?

We offer discounted and tailored training programmes for corporate teams.





Click here to learn more about corporate training