Python Software Developer

MICRODEGREE ( 3-6 MONTHS PART-TIME )



The course is designed to build intermediate programming skills using the Python programming language. It emphasises problem solving through the explicit development of algorithms to solve challenging computational problems

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
 Intermediate

This course is designed for students who have taken one of Hyperion's beginner courses, or have equivalent experience (6 - 12 month programming experience)



Course Overview


Technologies

The course takes you through the major tools that you need to develop effective programs to solve computational problems. It assumes a basic knowledge of programming but begins with a refresher of Python. After equipping the learner with the tools they need for complex problems solving, the learner is presented with challenging problems to solve using the skills they have acquired.

Programming is made up of two parts. The first is the development of an algorithm which solves a given computational problem. The second is the coding of this algorithm into a computer program to be executed by the machine. We emphasise this difference as we build a solid grounding for programmers that complete this course.





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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


Intro to Programming

The basic refresher to Python programming to those familiar with the language, and a somewhat gentle introduction to those who have not worked with the language before.

2


Control Structures

Decision making is implemented through the if statement. We discuss how this construct is used to implement slightly complex programs that need to make decisions. We also delve into depth with the Boolean data type and Boolean operators - which are used to implement complex decisions that need to be made during the execution of the program.

3


Data Structures

Data structures are an integral part of a program. Essentially, any program is made up of two parts: the logical structure of the data, and the statements that modify the data.We focus our attention specifically on the first part, introducing the most popular data type in Python for a collection of data - the List. We also introduce the for loop which is used to iterate over this data structure efficiently.

4


Object Orientated Programming

We as humans interact with objects everyday and have become attuned to thinking in terms of objects. The object-oriented programming paradigm takes advantage of this ability and uses it to help us navigate complex problems by mapping concepts to objects and their behaviour to methods. We explore this paradigm here.

5


Bioinformatics

Bioinformatics is the science of collecting and analysing complex biological data. We use this field as a backdrop to a consolidation task that tests what you have learnt up until this point.

6


Recursion

A counterintuitive way of solving problems. This method solves problems that can be broken down into smaller versions of themselves. This task focuses on problem solving and tests your ability to develop working algorithms before writing them in code.

7


Natural Language Programming I

Natural Language Programming is a field that brings together Computer Science and Linguistics to shed light on the interaction between humans and computers through the use of language. We use this as a backdrop for another challenging programming task that requires emphasis on the development of algorithm to solve the problem, and not merely hacking away on the keyboard.

8


Natural Language Programming II

We continue to emphasise the problem solving aspect of programming with another consolidation task based on NLP.

9


Location Plotting

We explore a powerful Python external library , a toolbox of code written for us by experts, to plot location data on a map.

10


Machine Learning

Machine Learning is an part of the discipline of Artificial Intelligence within Computer Science. It is concerned with developing computer programs that adapt to new data they are exposed to. Program flow is not predetermined before the program executes, but evolves based on the data, which forms a feedback mechanism to the program. This is the backdrop for the last challenging consolidation problem.

1. Intro to Programming

The basic refresher to Python programming to those familiar with the language, and a somewhat gentle introduction to those who have not worked with the language before.

2. Control Structures

Decision making is implemented through the if statement. We discuss how this construct is used to implement slightly complex programs that need to make decisions. We also delve into depth with the Boolean data type and Boolean operators - which are used to implement complex decisions that need to be made during the execution of the program.

3. Data Structures

Data structures are an integral part of a program. Essentially, any program is made up of two parts: the logical structure of the data, and the statements that modify the data.We focus our attention specifically on the first part, introducing the most popular data type in Python for a collection of data - the List. We also introduce the for loop which is used to iterate over this data structure efficiently.

4. Object Orientated Programming

We as humans interact with objects everyday and have become attuned to thinking in terms of objects. The object-oriented programming paradigm takes advantage of this ability and uses it to help us navigate complex problems by mapping concepts to objects and their behaviour to methods. We explore this paradigm here.

5. Bioinformatics

Bioinformatics is the science of collecting and analysing complex biological data. We use this field as a backdrop to a consolidation task that tests what you have learnt up until this point.

6. Recursion

A counterintuitive way of solving problems. This method solves problems that can be broken down into smaller versions of themselves. This task focuses on problem solving and tests your ability to develop working algorithms before writing them in code.

7. Natural Language Programming I

Natural Language Programming is a field that brings together Computer Science and Linguistics to shed light on the interaction between humans and computers through the use of language. We use this as a backdrop for another challenging programming task that requires emphasis on the development of algorithm to solve the problem, and not merely hacking away on the keyboard.

8. Natural Language Programming II

We continue to emphasise the problem solving aspect of programming with another consolidation task based on NLP.

9. Location Plotting

We explore a powerful Python external library , a toolbox of code written for us by experts, to plot location data on a map.

10. Machine Learning

Machine Learning is an part of the discipline of Artificial Intelligence within Computer Science. It is concerned with developing computer programs that adapt to new data they are exposed to. Program flow is not predetermined before the program executes, but evolves based on the data, which forms a feedback mechanism to the program. This is the backdrop for the last challenging consolidation problem.







Students Reviews




Why Take This Course?



Python is a relatively new programming language. But is has already build up a substantial user base and community because of its ability to deliver on it’s said promise to make code simple, readable, beautiful and explicit. This is a fun language that can be used to develop not only applications that run on a desktop, but web based applications as well. This means that after taking this course, you can branch into web development fairly easily, with a framework like Django, without having to learn another programming language.

Learning the intermediate concepts of programming with this language peppers the experience with more fun. With tabs replacing the conventional curly braces, power list and dictionary data structures, and an extensive standard library, your journey to mastering the more advanced concepts and tools of programming is sure to an exciting one.





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

-Our courses feature a substantial theoretical aspect even though the focus is on the practical component. You need to be proficient in English, both reading and writing, in order to learn about what programming is and what is expected of you in each task.

Technical Proficiencies

-Basic computer skills, such as sending emails and saving files

-Proficient with the use of a programming application, 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