Engineering Big Data

Take your data wrangling skills to the next level as you grapple with managing large volumes of data. You will master cloud computing, big data knowledge and the ability to create automated pipelines for a business.

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  • Course Duration:
    7 months

    At 10 hrs/week

  • Course starts:

    November 8, 2021

    Applications Close:

    November 7, 2021

    Basic Analytical Background

Boost your employability with a portfolio of data skills

EXPLORE's comprehensive nano-qualifications are SETA accredited and offer a cluster of data skills which equip learners to tackle specific problems or projects. Skill sets are curated to ensure they can be applied in the workplace from day 1.

You'll learn theory, tools and technology in a fast-paced and fun online environment, supported by wise and generous tech specialists who delight in learning.

Join the ranks of thousands of EXPLORERs who have made waves in the workplace.

Engineering Big Data

The amount of data being generated is growing exponentially. Never has there been so much data produced, consumed and analysed. Being able to work with ever increasing data sets is a core skill of the future. In this course we teach learners how to build vast data lakes that connect various data sources so that the team is able to extract insights quickly.

Engineering Big Data

  • Cloud Computing

    Intro to cloud computing
    Pros and cons of cloud computing
    Cloud providers

  • Introduction to AWS

    AWS services & overview
    Set up IAM policies
    Storing data in S3 buckets
    Spin up an EC2 instance
    RDS instances
    Security, Identity and compliance
    Networking and content delivery
    Using Lambdas

  • Big Data

    Big Data Architecture
    Hardoop vs Spark
    Big Data Software

  • Data Warehouses and Lakes

    Introduction to data warehouses
    Implementing data warehouses on AWS
    Introduction to data lakes
    Implementing data lakes on AWS

  • Data Automation

    Data Pipelines
    Data Quality
    Build Pipelines
    Task boundaries and monitoring

Explore values curiosity: Did you know?

A cat has 32 muscles in each ear

EXPLORE Services

EXPLORE has your best interests at heart. We want to give you the best chance of success!

  • 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.


    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.

  • 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:

  • Statistics

    Explore the world of statistics with our easy-to-understand tutorials

  • Spreadsheets

    Expand your understanding of the power of analytics using advanced spreadsheet techniques

Top Student Reviews

  • EXPLORE really attracts some of the most talented, creative, and hardworking individuals I've met.

    Jake Ruele
  • I found my passion and where I belong. And I'm just so grateful.

    Ivor Pietersen
  • I found it exceedingly thrilling and filled with engrossing content and challenges that optimized the whole learning experience.

    Atisang Molapo


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.

  • Aidan Hembold
    Course designer

    Aidan is a director of EXPLORE and is the lead data scientist on EXPLORE Utilities. He is a co-founder of the Data Science Academy and was core to the initial setup of the flagship Data Science course.

  • Jonathan Botha
    Lead facilitator

    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.

  • Xolisa Mzini

    Xolisa is a Data Saiyantist who is currently pursuing a degree in Pure Mathematics and Applied Statistics. His passions include learning, networking, and just being a joker.
    If he is not working he is either starting a new diet, a new training program, or googling “how to get a six-pack in two weeks.” Point is he likes fitness.

Find The Right Payment Plan For You

  • Upfront payment

    Pay your fees before the course starts and enjoy a cost saving.
    No deposit.
    No complexity.
    Just one payment.

  • 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!

Upfront Payment
  • Single payment before learning starts
  • No deposit required
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$350 per month
  • 5 monthly payments
  • Payment in advance each month
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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.
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.

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