Data Analytics Course 2020​

The Data Analyst course will provide you with the core skills required to transform unprocessed data into insights that can enable decision making. With the mantra ‘learn by doing’, this course teaches the fundamentals of data analysis from the foundations up through interactive and practical content. You will walk away from the course with the ability to apply statistical analysis to real-world problems using tools such as Excel, PowerQuery and PowerBI.

  • Tailored learning experience
  • Upskill your current position
  • Hands on training

Why Data in Business?

Every company knows the effects of waste, especially in terms of money and time. Costly, right? Data, however, helps you understand your business and improve the process so you can reduce the cost. Big companies like AT&T have successfully leveraged analytics to make assets perform better.

What did AT&T do?

They have helped a power-generating company understand how to optimise the wind generated THROUGH DATA. Then they demonstrated the ability to produce up to 10% more production of energy off the same amount of wind.

What does this mean?

Analytics have helped a customer generate more yield and more productivity out of their existing capital investment.

Data is this powerful and you can be empowered, even more.

What's this course about?

The Data Analyst course will provide you with the core skills required to transform unprocessed data into insights that can enable decision making. With the mantra ‘learn by doing’, this course teaches the fundamentals of data analysis from the foundations up through interactive and practical content. You will walk away from the course with the ability to apply statistical analysis to real-world problems using tools such as Excel, PowerQuery and PowerBI.

Course Mode Online
Certificate
Level For beginners | Entry level

What's in this course?

Introduction to data analysis – 1 week

Excel the basics – 1 Week

  1. Road to analysis – 3 weeks
  2. Module 2 Assignment – 1 week
  1. The analyst – 3 weeks
  2. Module 3 Assignment – 2 weeks

Testimonials

Preview Our Course

Meet Our Instructor

Ben De Maine

The instructor for this course has a Bachelor of Science and over two years of experience as a Data Analyst. He has delivered large-scale data-related projects in Defence and has both completed, and acted as an assistant instructor on, the General Assembly Data Analytics Course. Ben has significant wider analytical and leadership experience as a result of a varied career and is an excellent bridge in communicating technical skills to non-skilled students.

"What makes a great data analyst isn't the tools they use, but the raw skills which they apply to their analysis ."

FAQ

There is no coding required for our course.
You do not need to be able to code to complete training! You also do not need to code to start a tech career.

If you would like to improve your professional development and self-learning, you could learn how to code, but it is not a requirement.

Hardware and Software required

  • Access to a computer which operates Windows (MacBooks may not be supported )
  • Microsoft Excel, preferably Excel 2016
  • Internet connection
  • CPU: 64-bit Processor (Intel or AMD chipsets; example i3 to i7)
  • RAM: 4GB or Better (8GB Recommended)
  • Free Hard Drive Space: 40 GB
  • Reader for PDF Files e.g. Adobe Acrobat Reader or MS Word 2016
  • Web Browser: Operating System Browser or 3rd Party (Chrome, Firefox) (Capable of showing video)

Written reports are only daunting the first time!

Grammar and Spelling
A useful tool for checking grammar and spelling in any editor (including the web browser) is Grammarly. It is free and can be installed from https://app.grammarly.com/

References
Sometimes assignments specify a specific reference format: Usually, it is Vancouver style referencing for cyber security courses and APA6 for other courses. You can use http://www.citethisforme.com/ to help you. It will generate references in the correct format, which you then need to copy into your editor.

If you are using Microsoft Word then:

  1. Select the text that needs a reference
  2. Click the Reference tab of the toolbar
  3. Click Insert Footnote
  4. Paste in your reference
    cc6916a5-2167-4b70-9622-3d548ec806fc

Research
Most of the time we provide downloadable templates and links to extra reading material, but you may need to search for more information to get a better understanding of the content. In addition to reports and articles, there are many freely available videos that can explain additional concepts or explain the same concepts in a different way. Try our software partners’ websites as a starting point or look up other enthusiasts on https://www.youtube.com/

Late submission of assessment tasks will be penalized at the following maximum rate:

  • Five percent (of the assessment task’s identified value) per day for the first two days from the date identified as the due date for the assessment task
  • 10 percent (of the assessment task’s identified value) for the third day
  • 20 percent (of the assessment task’s identified value) for the fourth day and subsequent days up to and including seven days from the date identified as the due date for the assessment task
  •  A result of zero is awarded for an assessment task submitted seven days from the date identified as the due date for the assessment task.
  • Weekdays and weekends are included in the calculation of days late.
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