Value Added Modules to make you Job Ready

HIMS offers specialized modules to boost your job readiness. From practical workshops to industry certifications, our tailored programs equip you with the skills and insights needed to excel in today's competitive workforce. Join us and graduate prepared for success from day one.This version succinctly highlights the essence of the value-added modules, emphasizing their role in enhancing job readiness and setting students up for success in their careers.

Advanced Excel +
Python Automation

In today's data-driven world, proficiency in data analysis and automation is highly sought after. Our Advanced Excel + Python Automation module provides students with the skills to manipulate, analyze, and visualize data efficiently. Through hands-on projects, students learn to streamline tasks, create dynamic dashboards, and extract insights using Python's libraries like Pandas and NumPy. Mastering Excel and Python automation opens doors to exciting opportunities in finance, marketing, and data science.

Advanced Excel Techniques

Data Analysis and Visualization,
Advanced Formulas and Functions

Python Automation

Scripting for Data Manipulation,Task Automation and Integration

Data & Business Analytics -
Power BI

Data & Business Analytics with Power BI offers a comprehensive approach to harnessing data for business insights. With Power BI, students learn to transform raw data into interactive visualizations, enabling informed decision-making. This module covers data modeling, dashboard creation, and report generation, empowering individuals to leverage data effectively for strategic advantage in today's competitive landscape.

Data Visualization with Power BI

Dashboard Design and Development,Interactive Reporting

Business Insights with Data Analytics

Predictive Modeling and Forecasting,Decision Support Analysis

Contact

Get in Touch

Have a question or need assistance? Contact us!

Submit
Thank you! Your message has been received!Refresh Page for New Submission!
Oops! Something went wrong. Please try again.