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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.
Prerequisites:
Flair of any programming language is preferred however not necessary. Candidates with experience in Data Analysis is preferred.
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.
- 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.
- 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.
- 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.
- 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.
- Introduction to Python
- Basic Operations in Python
- Data Manipulation in Python
- Overview of Python Packages/Libraries
- Introduction to R
- Basic Operations in R
- Data Manipulation in R
- 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
The fees is inclusive of:
- Training & Digital Badge.
- Course material.
- 2 attempts of Global certification.
