Foundation course for Data Science using SAS, R & Python

This course focuses on Basic programming Skills on SAS Platform and open source arena. It focuses on using SAS, R and Python functions, basic modules for handling data, manipulation of data and basic analysis. The data-driven business environment existing today requires skilled professionals, learn with us to become one.

Suitable for Aspirants who want to become a Data Science professional and build a strong programming foundation on SAS, R and Python to manipulate data, perform queries and analyses, and generate reports.

Course Outline

SAS Programming 1: Essentials

• Navigate the SAS windowing environment
• Navigate the SAS Enterprise Guide programming environment
• Read various types of data into SAS data sets
• Create SAS variables and subset data
• Combine SAS data sets
• Create and enhance listing and summary reports
• Validate SAS data sets.

SAS Programming 2: Data Manipulation Techniques

• Control SAS data set input and output
• Combine SAS data sets
• Summarize, read, and write different types of data
• Perform DO loop and SAS array processing
• Transform character, numeric, and date variables.

SAS Macro Language 1: Essentials

• Perform text substitution in SAS code
• Automate and customize the production of SAS code
• Conditionally or iteratively construct SAS code
• Use macro variables and macro functions.

SAS SQL 1: Essentials

• Query and subset data
• Summarize and present data
• Combine tables, including complex joins and merges
• Create and modify table views and indexes
• Replace multiple DATA and PROC steps with one SQL query.

The fee is inclusive of

• Fee: ₹90,000+GST | Duration: 120 Hours
• Training & Digital Badge
• Course material
• Two attempts of Global certifications
• Duration: 120 Hours of Training

SAS Programming 3: Advanced Techniques and Efficiencies

• Benchmark computer resource usage
• Control memory, I/O, and CPU resources
• Create and use indexes
• Combine data horizontally
• Use hash and hiter DATA step component objects and arrays as lookup tables
• Compress SAS data sets
• Sample your SAS data sets
• Create and use SAS data views
• Safely reduce the length of numeric variables
• Create user-defined functions and informats.

Python

• Introduction to Python
• Basic Operations in Python
• Data Manipulation in Python
• Overview of Python Packages/Libraries

R

• Introduction to R
• Basic Operations in R
• Data Manipulation in R

Case Studies in the Curriculum

• Learn the application of data science through a comprehensive set of case studies designed by international industry experts in fields such as BFSI, Retail, E-Commerce, Cyber-crime and much more

Prerequisites:

• Flair of any programming language is preferred however not necessary. Candidates with experience in Data Analysis is preferred

The SAS® Global Certification Program allows you to validate your SAS® software skills and earn the globally-recognised credential endorsed by SAS®.

We help You to Learn SAS® From e-learning to video tutorials, learn SAS in the way that works best for you.