As the world becomes increasingly data-driven, it's more important than ever to have the skills you need to analyse and interpret data effectively. That's where our Business Analytics for Beginners Using SAS course comes in. Whether you're a recent graduate or a seasoned professional looking to enhance your skills, this course is perfect for anyone looking to gain a deeper understanding of data analysis using SAS.
With 13 comprehensive modules, you will learn how to work with SAS datasets, raw data files, and multiple SAS datasets. You will also learn how to use option statements, ODS statements, and date functions to streamline your data analysis process. And with hands-on exercises and real-world examples, you'll be able to apply what you learn to your own data analysis projects.
So why wait? Enrol in our Business Analytics for Beginners Using SAS course today and start building the skills you need to succeed in the data-driven world of business.
Learning Outcomes:
Understand the basics of SAS data analysis
Work with SAS datasets and raw data files
Use option statements, ODS statements, and date functions to streamline data analysis
Learn how to use multiple SAS datasets to enhance data analysis
Develop effective data analysis strategies using SAS
Our Business Analytics for Beginners Using SAS course is designed to help you gain a deeper understanding of data analysis using SAS. With 13 comprehensive modules, you will learn how to work with SAS datasets and raw data files, use option statements and ODS statements to streamline your data analysis process, and use date functions to analyse time-based data. You will also learn how to use multiple SAS datasets to enhance your data analysis and develop effective data analysis strategies using SAS.
This course is perfect for recent graduates, entry-level data analysts, and professionals looking to enhance their data analysis skills. Whether you're just starting out in the world of data analysis or are an experienced professional looking to take your skills to the next level, this course will provide you with the tools you need to succeed.
â±â± Business Analytics for Beginners Using SASS 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
How is the course assessed?
Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%.
Exam & Retakes:
It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable.
Certification
Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of __ GBP. £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery).
CPD
10 CPD hours / points Accredited by CPD Quality Standards
Who is this course for?
Recent graduates looking to start a career in data analysis
Entry-level data analysts looking to enhance their skills
Professionals looking to transition into the field of data analysis
Business owners looking to gain a deeper understanding of data analysis
Students looking to explore the field of data analysis
Career path
Data Analyst: £25,000 - £40,000
Business Analyst: £30,000 - £55,000
Marketing Analyst: £25,000 - £45,000
Data Scientist: £40,000 - £80,000
Senior Business Analyst: £50,000 - £90,000
Certificates
Certificate of completion
Digital certificate - £9
You can apply for a CPD Accredited PDF Certificate at the cost of £9.
Certificate of completion
Hard copy certificate - £15
Hard copy can be sent to you via post at the expense of £15.