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.
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