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Business Analytics for Beginners: Unleashing the Power of SAS

CPD Accredited | Delivered by Industry Experts | Free PDF Certificate | Tutor Support | 1 Year Access

Cambridge Open Academy


£14 inc VAT
Study method
8 hours · Self-paced
Access to content
1 year
No formal qualification
10 CPD hours / points
  • Certificate of Completion (PDF) - Free
  • Certificate of Completion (Hard Copy) - £9.99
Additional info
  • Exam(s) / assessment(s) is included in price
  • Tutor is available to students

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Did you know that businesses leveraging data-driven decisions experience a 5-6% boost in productivity? Welcome to "Business Analytics for Beginners: Unleashing the Power of SAS," a comprehensive course designed to introduce you to the world of data analysis and its application in business. With Business Analytics playing an increasingly vital role in today's data-rich landscape, this course is your gateway to understanding how SAS can be your strategic ally. Dive into a structured curriculum that covers essential topics in 13 modules, equipping you with the foundational knowledge to make data-driven decisions.

Learning Outcomes:

  • Analyse data effectively using SAS, from understanding datasets to processing raw data files.
  • Master the art of data manipulation, including appending data, using option statements, and applying date functions.
  • Develop the skills to work with multiple SAS datasets and efficiently select groups of data.
  • Gain proficiency in programming constructs like loops and arrays for efficient data processing.


10 CPD hours / points
Accredited by CPD Quality Standards

Course media


In a world where data drives decisions, Business Analytics is your passport to success. This course, "Business Analytics for Beginners: Unleashing the Power of SAS," is your stepping stone into the dynamic realm of data analytics. Covering 13 modules, this course will take you on a journey from understanding the basics to mastering SAS analytics. Whether you're a business enthusiast or an aspiring analyst, this course will empower you with the knowledge and skills to harness the full potential of SAS for data analysis.

By the end of this course, you'll be able to manipulate data effortlessly, work with multiple datasets, and apply programming constructs like loops and arrays. Dive deep into the world of Business Analytics and unlock the power of SAS. Don't miss out on this opportunity to boost your analytical skills and enhance your career prospects.

Course Curriculum:

  • Section 01: Introduction
  • Section 02: SAS Dataset
  • Section 03: Raw Data File Standard And Example
  • Section 04: Raw Data File Non Standard
  • Section 05: Append
  • Section 06: Option Statements
  • Section 07: Title n Foot Note
  • Section 08: ODS statements
  • Section 09: Date Functions
  • Section 10: Multiple SAS datasets
  • Section 11: Select Group
  • Section 12: Do Loop
  • Section 13: Array

Who is this course for?

  • Aspiring data analysts seeking to enter the world of Business Analytics.
  • Business professionals looking to make data-driven decisions.
  • Students and graduates aiming to kickstart a career in analytics.
  • Anyone interested in harnessing the power of SAS for data analysis.

Career path

  • Data Analyst: £25,000 - £50,000 per annum
  • Business Analyst: £30,000 - £60,000 per annum
  • Data Scientist: £40,000 - £80,000 per annum
  • Business Intelligence Analyst: £35,000 - £65,000 per annum
  • Financial Analyst: £30,000 - £70,000 per annum
  • Market Research Analyst: £25,000 - £50,000 per annum

Questions and answers

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Certificate of Completion (PDF)

Digital certificate - Included

Once you have successfully completed the course, you will receive a CPD Accredited PDF certificate completely free of cost as a proof of your accomplishment.

Certificate of Completion (Hard Copy)

Hard copy certificate - £9.99

Note: Delivery of hardcopy certificate is free within the United Kingdom. However, to obtain a hardcopy certificate, international students have to pay £19.99 for the shipment to their designated address.


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