GALTECH

Data Analytics Course

GALTech School of Technology Private Limited > Courses

Data Analytics Training Program

Kick-start your data-driven career with a comprehensive Data Analytics course from GALTech School in Kerala.
Master the core skills of Excel, SQL, Python, and data visualisation tools like Power BI and Tableau.
Gain practical experience through real-life projects and industry-relevant case studies.
Secure valuable internships to gain hands-on experience and build your professional network.
Prepare for a successful career in the data analytics field with our fast-paced, results-oriented program.

Why Data Analytics?

Join our data analytics program and embark on a rewarding career journey. Whether you’re a beginner or a seasoned professional, our program provides:

  • Comprehensive training: Covering both theoretical and practical aspects of data analysis.
  • Supportive learning environment: Fostering growth and encouraging exploration.
  • Industry-relevant skills: Preparing you to handle the complexities of the modern data landscape.

Course Highlights

  • Classes from Industry Experts
  • Project-based
  • Job-focused
  • Placement Assistance
  • Internship Programs
  • HD Video Recordings
  • Weekly Projects & Assignments
  • Industry-specific Curriculum
  • Peer-to-peer
  • Self-paced
  • Certification
  • Affordable Fees

Course Curriculum

Week 01

Excel Basics

  • Introduction to Excel interface and navigation.
  • Basic formulas and functions (SUM, AVERAGE, COUNT, etc.).
  • Data entry, formatting, and cell referencing.
  • Sorting, filtering, and conditional formatting.

Who Should Enroll?

Recent Graduates

Anyone who has just finished their degree.

Working Professionals

People currently employed who want to learn new skills.

Career Changers

Individuals looking to switch to a data analytics career.

Students

Current students wanting to add data skills to their education.

Data Enthusiasts

Anyone interested in learning about data analysis.

Frequently Asked Questions

Anyone: fresh graduates, working professionals, students, or those who are interested in data analytics.

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