Learn Data Analytics using SQL and R. Master data extraction, querying, statistical analysis, visualization, and business intelligence techniques.
A comprehensive curriculum designed to take you from beginner to professional.
The capstone project challenges you to integrate SQL data extraction, R-based processing, and BI visualization into a single professional case study.
Master the primary professional software development packages and workflow tools.
Observe the real-world utility outcomes you gain after program completion.
Our certification formally validates your skill set in recruiter searches with unique QR code verification and LinkedIn-ready structures.
Unique Credential ID & QR Code
Recruiters can scan to instantly verify your project files, source repository, and official completion marks.
Linkedin Certified Recognition
Easily push to your Linkedin profile with 1-click credential linking to increase high-end corporate recruiter views.
Our alumni are driving innovation at the world's most prestigious technology companies.
An expert-crafted learning infrastructure built for technical fluency.
Direct guidance and weekly doubt clearing sessions hosted by hardware, embedded, and software engineering veterans.
Ask coding doubts anytime on our student community workspace and receive instant assistance.
Access lifetime recorded modules with adaptive pacing to balance academics and professional work.
Exclusive resume review, mock interviews, and placement assistance from industry experts.
See how Pantech courses accelerated career transitions across India.
Get exclusive lifetime access to coursework, simulators, custom templates, and direct placement opportunities.
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Find instant answers to all common questions about our technical certificate courses.
Yes. The course starts with data analytics fundamentals before gradually introducing Excel analytics, SQL, R programming, visualization, and dashboard development.
You will work on practical projects including an HR Attrition Dashboard, Employee Analysis Pivot Dashboard, Sales/Marketing Visual Report, and a Multi-layered Dashboard Capstone using real-world datasets.
The course covers SQL, R Programming, dplyr, ggplot2, plotly, Microsoft Excel, Power BI, Tableau, and GitHub as part of the analytics workflow.
Yes. The curriculum includes guided exercises, business case studies, dashboard development, data cleaning tasks, visualization activities, and multiple implementation-based projects.
After completing this course, learners can pursue roles such as Data Analyst, Business Analyst, Reporting Analyst, Business Intelligence Analyst, Analytics Associate, SQL Developer, and Junior Data Analytics Professional.