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REAP Code: 25
CAM:1025  RMCAAP:225   RMAT:278


Scope of Robotics and Automation
The course focuses on Design and Assemble Automation System. The systems include components of different types: electrical components, electronic assemblies, instrumentation and sensors; electro-mechanical, pneumatic and hydraulic components, wiring, Control Panels, PLCs, SCADA, communication components and associated software. At the end of the course, you will be able to:
  1. Understand what Robotic Process Automation (RPA) is
  2. Know which RPA tools are most relevant
  3. Understand the challenges & risks when implementing RPA
  4. Envision a basic RPA implementation plan
  5. Understand why RPA is a massive career & earning opportunity
Scope of Data Analytics
Data analytics is a process through which data is cleaned, analysed and modelled using tools. This data is then used to derive insights. The insights are then used for business-related decision-making purposes. There are many techniques that data analysts use in different fields of work. In the world of business, Data analytics is used for making strategies to get the desired business results. Today, data analytics has become a big career option in India. As a result, big data analytics courses are in huge demand. At the end of the course, you’ll be able to:
  1. Successfully perform all steps in a complex Data Science project
  2. Create Basic Tableau Visualisations
  3. Perform Data Mining in Tableau
  4. Understand how to apply the Chi-Squared statistical test
  5. Apply Ordinary Least Squares method to Create Linear Regressions
  6. Assess R-Squared for all types of models
  7. Assess the Adjusted R-Squared for all types of models
  8. Create a Simple Linear Regression (SLR)
  9. Create a Multiple Linear Regression (MLR)
  10. Apply three levels of model maintenance to prevent model deterioration
  11. Install and navigate SQL Server
  12. Install and navigate Microsoft Visual Studio Shell
  13. Clean data and look for anomalies
  14. Use SQL Server Integration Services (SSIS) to upload data into a database
  15. Apply SQL to Data Science projects
  16. Create stored procedures in SQL