COURSE CATALOGUE

2020

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Table of Contents

EXPLORE Overview

EMPLOYED Learnerships

UNEMPLOYED Learnerships

How your employees will Learn

Requirements

Your Success Team

Your Teaching Team

Skills Programmes

Introduction to Data Science

Programming

Working with Data

Visualisation

Machine Learning

EXPLORE Philosophy: Solving problems in the real world

Contact Information

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Our Courses are For You if you Want to 10

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EXPLORE Overview

EXPLORE is a next generation Learning Institution that teaches your current and prospective employees the skills of the future. From Data Science to Data Engineering, from Machine Learning to Deep Learning we deliver cutting edge courses to satisfy their hunger to learn. Our Programmes are built by an amazing Faculty - we employ some of the world’s most talented Scientists who have experience solving difficult problems on a global stage.

Our philosophy is to teach our learners how to solve problems in the real world. We emphasise teamwork, collaboration and working within constraints under deadlines while understanding context, audience and implementation challenges. We are not a theoretical institution (although we cover the theory) - we are a ‘practical, hands-on, roll-up-your-sleeves and get stuff done’ kind of institution. As real-world Scientists who have delivered impact in the world of work so we’re well positioned to deliver these skills to your organisation.

EXPLORE launched during 2013 and since then has taught 1,000’s of learners and solved many problems for businesses across multiple Industries across the world. We’re reinventing education and invite you to join us.

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EMPLOYED Learnerships

EXPLORE offers a range of NQF Level 5 learnerships that cover the full range of data skills that an organisation requires to thrive in the digital age. These learnerships are typically well suited to entry to expert level IT and business professionals who want to upskill in the latest technologies.

EXPLORE offers a range of 1-year learnerships for employers to send their workforce on. From courses for beginners to advanced Users EXPLORE has a learnership that is fit for your requirements.

Data Science

Learn how to describe, predict and prescribe key business metrics

Data Engineering

Learn how to engineer powerful data platforms

that run large Enterprises.

Business Intelligence

Learn how to tell stories using data with beautiful visualisations

Learn how to gather and analyse data to deliver business insights

to executives.

Data Analytics

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UNEMPLOYED Learnerships

EXPLORE offers learnerships that cover the full range of data skills that an organisation requires to thrive in the digital age. These courses are well suited for smart and ambitious youngsters who will be leaders in your organisation in the future.

EXPLORE offers a range of 1-year learnerships for employers to sponsor young talent - this talent then becomes your pipeline of digital skills into the future. These programmes can be structured as Learnerships, Internships or Bursaries and allow you to find the best of the best outside of your organisation who will then be the future leaders of your business.

Data Science

Learn how to describe, predict and prescribe

key performance metrics for business

value

Data Engineering

Learn how to engineer powerful data platforms

that run large Enterprises in the cloud.

Business Intelligence

Learn how to tell stories using data with beautiful visualisations

using the latest visualisation tools available

Learn how to gather and analyse data to deliver business insights

to executives.

Data Analytics

Skills Programmes

Introduction to Data Science

Introduction to Data Science

Our Introduction to Data Science courses are suited for non-technical audiences who want an overview of what Data Science is and how it can be used by them to improve their performance in their day to day roles. The courses are fun and interactive where key concepts are introduced and real-world examples are workshopped to gain a better understanding of the technologies emerging.

Data Science for Managers

What is Data Science?

What does best practice look like?

How to use data to visualise a problem

How building models can help forecast and predict

Data Literacy

What is Data Science?

Why is data so important?

How to work with data

Building dashboards to visualise performance

Data Privacy, Governance and Security

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Skills Programmes

Programming

Programming

Our Programming courses teach Users how to work in Python to be able to manipulate large data sets and perform calculations on them to be able to analyse the data for insight. From simply ‘running a for loop’ to building advanced algorithms we cover a broad range of subject matter to get you comfortable with one of the most powerful programming languages used today.

Programming in Python

Installing Jupyter environment

Working with strings, numbers and booleans

Conditionals, loops, boolean logic

Creating and working with functions

Advanced Programming in Python

Pseudo-code, unit-testing, code reviews and Github

Linear Programming

Working with numpy and pandas

Sorting and greedy algorithms

Creating and working with advanced algorithms

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Skills Programmes

Working with Data

Working with Data

Working with data is foundational to be being able to unlock the power of Data Science. Being able to clean, transform, mine and mung large data sets is a critical skills for any Data Scientist. We teach you to work in SQL, from

SQL

SELECT, FROM, WHERE

Working with JOINS

SQL Aggregations

Working with Sub-Queries

Big Data engineering

Data cleaning

Normalisation of data structures

Advanced JOINS

Optimising for performance

Advanced queries

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Skills Programmes

Visualisation

Visualisation

Being able to visualise data and tell compelling stories is a key capability of the Data Scientists toolkit. Using the latest dashboarding technologies is a key skill to deliver the insights and recommendations that your data is telling you. Our courses cover the key principles and applications of being able to tell elegant stories using various visualisation techniques.

Visualisation

Data Visualisation fundamentals

Designing a dashboard

Working with PowerBI

Telling stories in PowerBI

Advanced Visualisation

Setting Data relationships

Planning, designing and proto-typing dashboards

Advanced PowerBI functions

Advanced PowerBI visuals

Dashboard Project

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Skills Programmes

Machine Learning

Machine Learning

The latest advances in machine learning have been astounding. With the powerful computers of today coupled with amazing algorithms machines can know see, hear, read and speak at the level of humans. We teach your employees how these technologies work so that they can use them in your business going forwards.

Machine Learning

Pre-processing data techniques

Linear and logistic regression

Decision trees and random forests

Support vector machines and K-nearest neighbours

Deep Learning

Natural Language Processing

Sentiment classification

Artificial Neural networks

Recurrent Neural Networks

Convolutional Neural Networks

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Unsupervised learning: clustering algorithms, PCA

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Our Courses are For You If You Want To

Our courses are 100% for you if you are looking to:

Upskill and reskill your workforce

EXPLORE are experts at working with large organisations to transform their workforce to be digitally enabled so they can thrive in the digital age.

Have Content that is tailored

EXPLORE works with you to make sure the courses are fit-for-purpose. We tailor our courses to your needs and deliver projects that are suited to your environments

Have a Support Team

EXPLORE has a large Faculty of Scientists with lots of Academic and real-world experience who are available to support your employees through the learning process.

Score BBBEE Points

We’re a SETA accredited Level 4 Service Provider and understand how to optimise for your BBBEE Scorecard

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Who Should Take These Courses?

Our courses geared for a large range of audiences - from non-technical newcomers to the field - to advanced analysts looking to refine their abilities. Our courses will be beneficial to professionals who need to rapidly upskill and enhance their data science toolkit with demonstrable and practical skills.

It is also beneficial to professionals working in a range of business areas, including but not limited to marketing, sales, finance, and operations who want to learn how to use data and programming to increase efficiencies and identify new opportunities for their organisation.

How Your Employees Learn

Our courses are broken down into easily digestible bite-sized chunks and delivered via our world-class technology solution. We deliver a combination of Online and On Campus solutions that are set by your needs supported by our world-class Faculty who are their to assist whenever help is required.

Work through your downloadable and online instructional material

Interact with your peers and learning facilitators through real-time chat platforms and regular live webinars

Enjoy a wide range of interactive content, including video lectures, coding challenges, hackathons, and presentations

Investigate real-world case studies

Learn how to use Jupyter Notebook, GitHub, Power BI, AWS, and various machine learning models

Apply what you learn each week to quizzes and ongoing project submissions, culminating in the ability to solve a problem using statistical learning on a world data set

Our courses are fun, intuitive, video-based with loads of assessments for your employees to track their progress. You get regular reports to see how how your cohorts are doing that show attendance, performance and coping metrics.

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Software Requirements

BASIC REQUIREMENTS

TECHNICAL REQUIREMENTS

Basic computer literacy is essential for successful completion of the course. To complete the course, you will need a current email account and access to a computer and the internet, as well as a PDF Reader. You may need to make use of the Google office suite, which is free to anyone with a Gmail account. Alternatively, Microsoft Office applications (such as PowerPoint and Word) may be used. We recommend using Google Chrome to access the course, but any popular browser should suffice.

● Recommended OS: Since we make use of Windows based apps (such as Power BI), Windows 10 is recommended (Windows 7 minimum)

● Processor: Minimum i3. Baseline higher than 2GHz ● RAM: Minimum 4GB ● Bandwidth: 20GB data per month should be sufficient, but will vary based on your personal

activity ● Communication: Webcam and Microphone

ADDITIONAL REQUIREMENTS

Certain activities may require additional software and resources. In such cases, we will ensure that they will operate properly on a device with the above-mentioned specifications and will be clearly communicated to you during the completion of the course. Please note that Google, Vimeo, YouTube, Udemy and Datacamp may be used in our course delivery, and if these services are blocked in your jurisdiction, you may have difficulty in accessing course content. Please check with a Course Consultant before registering for this course if you have any concerns about this affecting your experience with the Online Campus.

Your Success Team

EXPLORE has a range of Faculty members at hand to assist you if you get stuck during your learning journey. We have experts readily available to assist you for when things get tricky - they have a wealth of experience with the material and are a friendly message away to help you on your way.

Head Tutor

A subject matter expert who'll guide you through content-related challenges.

Success Manager

Your one-on-one support available during working hours (8am-5pm SAST) to resolve any challenges that you may have

Administration Support

Available 24/7 to solve your software, tech and administrative queries and concerns.

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Your Teaching Team

These EXPLORERs built the course you will go through - they have loads of experience working with the tools and technologies you will learn and had fun building something awesome for you to learn.

SUBJECT MATTER EXPERT

Jaco is a Lead Data Scientist in the EXPLORE Data Science Academy. He has spent the bulk of his career on scientific and industrial research and holds a PhD in Mechanical Engineering with a focus on mathematical modelling and optimisation.

Jaco Jansen van RensburgLead Instructor

These subject matter experts guide the course design and appear in a number of course videos, along with a variety of industry professionals.

YOUR COURSE CO-CONVENORS

Jonathan has his PhD in Genetics. He decided to leave the world of Academia and pair his unique perspective and insight with Data Science in order to see what strange and interesting things unfold. He also unashamedly prefers tea to coffee.

Jonathan BothaData Scientist

Jonathan is an electrical engineer specialising in biomedical image processing and machine learning (MSc). Having been a founding member of the Data Science for Impact and Decision Enablement (DSIDE) program within the CSIR, he is passionate about teaching, innovating for good, and equipping others to reason within a data driven world. Jonathan loves the outdoors, is unashamedly nerdy, and relishes a compelling debate.

Jonathan GerrandLead Instructor

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EXPLORE Philosophy: Solving problems in the real world

At EXPLORE we focus on building your employee’s ability to solve problems in the real world. Building things that work and make a difference is hard - that’s what we teach.

We’re not a traditional learning institution that spends weeks teaching matrix multiplication on a whiteboard (although understanding that is useful) - we’re a practical, solution-oriented institution that teaches our students to work in teams, under pressure, with deadlines while understanding context, constraints and the audience.

Our courses are typically broken into Sprints where we teach a core set of concepts within the framework of solving a problem in a team with a tight deadline.

Our courses are practical and applications-based with lots of examples to get your employees comfortable with the new concepts, tools and technologies emerging.

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COURSE CATALOGUE

2020Transform your workforce today by connecting with EXPLORE. Your employees have a range of a Data Science, Data Analytics, Business Intelligence or Data Engineering courses to choose from.

WWW.EXPLORE-DATASCIENCE.NET

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