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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

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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.
      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.
      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

      The fees is inclusive of:

      • Training & Digital Badge.
      • Course material.
      • 2 attempts of Global certification.

      Download Course Curriculum

      

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