Training Structure
Live Web
Features:
- Get trained by experts.
- Attend classes from anywhere right from your computer.
- Get all the benefits of classroom training.
- Get access to course recordings up to 20 business days.
- Access to latest software for hands-on.
- Live interaction with trainers & trainees of different locations.
Live Web
Audio Requirements:
- You should have working speakers, so that you can listen properly.
- You should have working mics, so that you can interact with trainers.
- We recommend to have Headphones with mics.
Live Web
System Requirements:
- Internet Explorer 9, Mozilla Firefox 34, Google Chrome 39 (JavaScript enabled) or the latest version of each web browser.
- Windows 7, Windows 8 or later.
- Cable modem, DSL, or better Internet connection.
- Internet bandwidth 2 mbps(recommended).
- Dual-core 2.4GHz CPU or faster with 2GB of RAM (recommended).
Live Web
Watch Demo:
For Fees & More Information
Call Us:
+91 9960935600
SAS Digital Badge
Share it. You’ve earned it.
Which course is suitable for you ?
Click below and take a quick survey, check which courses are suitable for you.
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.
