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Data Science

Course type:
E-learning
Duration:

98 hours

Delivery:
Online
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+VAT
Without exams

Data Science with SAS E-learning

SAS is the main analytics tool used by some of the largest KPOs (knowledge process outsourcing) - banks like Barclays, American Express etc., financial services organisations like GEO Money, consulting companies like Accenture and KPMG.  There is an increasing demand for skilled data scientists across all industries that make this course suitable for participants at all levels of experience. During this training course you will learn analytics techniques using SAS data science tools. It will give you the necessary practical knowledge you can apply on your next data analysis job.

Course overview

About the course

The SAS certification course will cover data manipulation and optimisation techniques; advanced statistical concepts like clustering, linear regression; how to combine data analysis methods, select statements and joins in SQL; and predictive modelling techniques. 

What's covered?

The course will cover the following topics:

  • Lesson 1 - Analytics overview 
  • Lesson 2 - Introduction to SAS 
  • Lesson 3 - Combining and modifying datasets 
  • Lesson 4 - PROC SQL 
  • Lesson 5 - SAS Macros 
  • Lesson 6 - Basics of statistics 
  • Lesson 7 - Statistical procedures 
  • Lesson 8 - Data exploration 
  • Lesson 9 - Advanced statistics 
  • Lesson 10 - Working with time series data 
  • Lesson 11 - Designing optimisation models 
  • FREE COURSE - Certified SAS base programmer
  • FREE COURSE - Statistics essentials for data science

The SAS Certification training course includes five real-life, industry-based projects including Walmart demand prediction. Successful evaluation of one of the following projects is a part of the certification eligibility criteria.

  • Project 1: Demand Forecasting for Walmart

Retail: Predict accurate sales for 45 stores of Walmart, one of the US-based leading retail stores, considering the impact of promotional markdown events. Check if macroeconomic factors like CPI, unemployment rate, etc. have an impact on sales.

  • Project 2: Attrition Analysis

Telecommunication: Analyse the employee attrition rate of a leading BPO company. The dataset is maintained for the attrition analysis, and it has records of employee id, retain indicator, sex indicator, relocation indicator, and marital status.

  • Project 3: Retail Analysis

E-commerce: Forecast sales based on independent variables such as profit, quantity, marketing cost, and expenses using the regression model.

Two additional projects have been provided for practice:

  • Project 4: Data-driven Macro Calls

Sales: Generate a list of all data sets in SAS which have sales-related information and pass it on as the macro variable.

  • Project 5: Customer Segmentation

Internet: Perform customer segmentation with RFM methodology on an e-commerce website’s customer data set. Segment customers based on frequency, recency, and monetary value.

Duration

98 hours

Target audience

The SAS certification is recommended for the following professionals:

  • Analytics professionals who want to work with SAS
  • IT professionals looking for a career change in the fields of analytics
  • Graduates or software developers interested in pursuing a career in analytics and data science
  • Experienced professionals who would like to equip themselves with data science skills in their fields

Pre-requisites

No prior experience in data analytics or statistics is required to take this online training course. The free SAS Base Programmer course provides some additional coding guidance.

Learning objectives

By the end of the course you will be able to understand:

  • The role of data scientists, various analytics techniques, SAS, the role of graphical user interface (GUI), library statements, importing and exporting of data and variable attributes
  • Statistics, hypothesis testing, and advanced statistical techniques like clustering, decision trees, linear regression, and logistic regression
  • Various techniques for combining and modifying datasets like concatenation, interleaving, one-to-one merging and reading
  • PROC SQL, its syntax, and master the various PROC statements and subsequent statistical procedures used for analytics including PROC UNIVARIATE, PROC MEANS, PROC FREQ, PROC CORP
  • The power of SAS macros and how they can be used for faster data manipulation and for reducing the amount of regular SAS code required for analytics

What's included?

Materials

  • 4 real-life industry projects
  • 24 hours of self-paced video
  • 3 sets of assessment papers

Duration of access

12 months online access to accredited e-learning

Exam information

To become a Certified Data Scientist with SAS, you must fulfill the following criteria:

  • Complete any one project out of the two provided in the course. Submit the deliverables in the LMS to be evaluated by our lead trainer
  • Score a minimum of 60% in any one of the three simulation tests

Please note:
When you have completed the course, you will receive a three-month experience certificate for implementing the projects using SAS.
It is mandatory that you fulfill both the criteria: completion of any one project and passing the online simulation exam with minimum score of 60% to become a certified data scientist

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