Data Science
Within months you will learn one of the highest paid and fastest growing skills in the Tech Industry: Data Science. This world-class course will teach you how to solve difficult problems using the latest advances in the Data Science realm.
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- Course Duration:
12 months
At 10 hrs/week
- Course starts:
January 17, 2022
Applications Close:
January 16, 2022
- PREREQUISITES:
Basic Analytical Background
Boost your career with a Data centred Qualification
EXPLORE's comprehensive long course qualifications offer a broad spectrum of data skills, thoughtfully crafted to ensure they can be applied in the workplace immediately.
You'll learn theory, tools and technology in a fast-paced and fun environment, supported by wise and generous tech specialists who delight in learning.
Join the ranks of thousands of EXPLORE graduates who have landed high-paying jobs in top companies
Data Science
Learners will gain an overview of Data Science and Machine Learning - the skills required to be a data scientist.
In the Fundamentals phase they learn how to clean, analyse and visualise data as well as how to effectively communicate the findings.
During Machine Learning, students solve real-world problems by building regression, classification and unsupervised learning algorithms in Python. This involves data exploration insight building, improving and communicating models from a raw and unstructured dataset.
Data Science Fundamentals
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SQL
Create and query a SQL database to extract valuable information
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Python Programming
Query and analyse datasets in Python by using Numpy, Pandas and Pyodbc
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Visualisation
Building dynamic and interactive dashboards using Power BI
Machine Learning
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Regression
Building linear regression models in Python and testing the results of predictions
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Classification
Building a logistic regression model in Python and optimising models to enhance performance
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Unsupervised Learning
Learn to apply unsupervised techniques, such as k-means clustering and dimensionality reduction, to your data. Gather insight and derive patterns from unstructured data.
EXPLORE values Curiosity: Did you know?
11% of people are left handed
EXPLORE Services
At EXPLORE, we don't just train technical skills, we empower learners to unlock their full potential
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A Proven Job Search Framework
After years of helping students get hired, we’ve developed a proven framework for leading a successful job search. Nearly every single student who has followed these guidelines has been hired
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THRIVE
EXPLORE's personal development curriculum, THRIVE, forms part of each student's learning journey. Creative, fun content delivered through a cutting-edge platform exposes participants to a host of additional content to support, guide, stretch and stimulate learning.
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Dedicated Career Coaching
Every student has access to a dedicated career coach who will mentor students through an effective job search via resume review, mock interviews, and strategies for building a job opportunity pipeline and getting a foot in the door at top-choice companies.
Engaging, interactive and entertaining learning
At EXPLORE we firmly believe that learning can be fun, even when the content is complex. Our highly experienced course designers are able to share their insights and wisdom through our innovative learning platform and video-first approach. Take a look at what you can expect when joining us:
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Data Science Online Course
An overview of what to expect from EXPLORE's online Data Science programme
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Python Programming
Programming in Python makes using you data simple & easy, get a feel for how you'll master this art
Meet our EXPLORERS
We take teaching seriously. Great teachers inspire us to connect with topics on a profound level. With experience in the field and the classroom, our course designers and instructors are unmatched.
Simply put: students learn from the best.
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Shaun Dipnnall
Course Designer
Shaun is the CEO of the EXPLORE Group of Companies. These include a Digital Skills Academy that delivers scarce digital skills at scale into South Africa as well as a Utilities and Financial Services products and services business.
Jaco Jansen van Rensburg
Lead Instructor
Jaco is a Chief EXPLORER and 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.
Trevor Senyane
Facilitator
Trevor is a Data Science, Machine learning and Artificial intelligence enthusiast. He has a Bsc degree majoring in Physics and Mathematics. He is a dynamic problem solver who recognizes that problems have to be approached at a 3rd dimensional point of view. Trevor is an omnivert and adventurist who enjoys exploring parts of the world.
Find The Right Payment Plan For You
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Upfront Payment
Pay your fees before the course starts and enjoy a cost saving.
No deposit.
No complexity.
Just one payment.
Simple. -
Pay as you Learn
Monthly payments unlock your next module of learning.
Fees payable in advance each month
Seamless payments by automated deductions
Make one payment, we do the rest! -
EXPLORE Loan
EXPLORE is proud to be offering a loan option whereby eligible students can apply to fund their studies at an affordable rate, paid off over a longer period.
Candidates will have 36 months to pay.
Innovative? We think so! -
Scholarship
Exceptional candidates may qualify for a company-sponsored scholarship
Qualifying testing & interview apply
Incredible opportunities to change the trajectory of your life!
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We’ve got your interests at heart
At EXPLORE we believe that talented individuals should be able to access opportunities to uncover their potential and realise their dreams. We are dedicated to make learning more accessible.
Apply Now
The EXPLORE loan is designed to do exactly that. With 36 months to pay off your studies, our intention is to offer a competitive and affordable financing option.
Naturally, we need some details and documents from you to get your application started.
Only a few steps lie between you and a world of incredible learning!
The following questions need to be answered with the details of the person who will be responsible for the loan repayments.
The next step in your application journey is to complete a 30 question multiple choice aptitude quiz. We’re looking at your logic, problem-solving and numeracy skills. No preparation is required.
You can access the quiz from the Assessments tab of your Student Dashboard at any time.
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High Five - you’re one step closer!
You will now be directed to your Student Dashboard to complete your application.