• PRIMAX EDUACADEMYLLP
    (Registered Under MCA- Reg. No. ACX-3978, Govt. of India)
    Ministry of Micro, Small & Medium Enterprises Reg. No.: UDYAM-KR-03-0692548
    Bengaluru, Karnataka - India

Professional Courses

Hands - On Data Analytics Bootcamp

In today’s data-driven environment, organizations rely on advanced analytical tools to interpret data and support strategic decision-making. Tools such as SPSS, AMOS, Excel, and Power BI enable users to perform statistical analysis, structural equation modelling, data visualization, and business intelligence reporting. This program is designed to equip participants with both foundational and advanced analytical skills through hands-on practical learning and real-world applications.

 


Course Objective

=> To provide a strong foundation in data analytics concepts and techniques
=> To develop practical skills in Excel, SPSS, AMOS, and Power BI
=> To understand statistical and multivariate analysis methods
=> To enable data-driven decision-making
=> To build expertise in data visualization and dashboard creation
=> To provide hands-on experience with real-world datasets and case studies

 


Course Outline

Number of Months 📅     : 3 Months
Total Number of Hrs. 🕒  : 64 Hrs. + One Month Live Project 
Training Mode 💻      : Zoom (ONLINE)
Training Type 📆        : Weekend Online Training Program Time   : Every Saturday 4.00 PM to 8.00 PM (15 Minutes Break)
 Every Sunday   4.00 PM to 8.00 PM (15 Minutes Break)
Total Fee 💰: Rs. 40,000 (Pay in Four Instalments)

Program Outcome

By the end of the program, participants will be able to:

  • Understand the data analytics lifecycle
  • Perform data cleaning, transformation, and analysis
  • Apply statistical techniques using SPSS
  • Use Excel for data analysis and reporting
  • Create interactive dashboards using Power BI and Tableau
  • Interpret data insights for business decision-making
  • Work on real-time datasets and present analytical findings

 

Who can Participate

  • UG/PG students (BBA, BCom, MBA, MSc, etc.)
  • Research scholars and PhD candidates
  • Academicians and faculty members
  • Business professionals and analysts
  • Entrepreneurs and decision-makers
  • Anyone interested in data analytics and research methods

Do you have any questions?

feel free to contact us!