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  • Advanced Certificate in Digital Marketing and Communication

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Office Admin Course

Acquire a solid grasp of office administration concepts led by experts. You will learn practical skills to manage daily office operations. This course will give you a solid understanding of office etiquette and administrative duties. You will also learn to handle real workplace challenges through hands-on training and interactive sessions. Our course is designed to mold you into a skilled and confident professional ready to take on real-world challenges. Take a smart step toward a prosperous future with our office admin course.

Offline Fees

Starts at Rs. 20,000

Online Fees

Starts at Rs. 15000

Duration

40 days

Download Syllabus
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  • Finance & Accounting
  • Online & Offline
  • Malayalam
  • Hurry! 665 people have already applied in the last 1 month
  • For enquiries call: Get Started
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Advanced Generative AI Certification Course

Master the skills that shape the future of technology with the Advanced Certificate Program in Generative AI, a 5-month generative AI course by upGrad.

No Cost EMI

Starts at Rs. 6,458

Start Date

Starts at Rs. 6,458

Duration

4 Months

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  • Hurry! 665 people have already applied in the last 1 month
  • For enquiries call: Get Started

Introduction to Office Admin Course

Course Snapshot

Hours of Learning
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Tools
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Finprov’s Office Admin course is the perfect choice for anyone who is looking for a rewarding career in office administration. You will learn Office Administration Basics, Practical Accounting, Data Entry, POS System Basics, Transaction Processing, Inventory Management, Office Etiquette, and the art of Communication in detail. Classes are taught by experienced instructors who share real-world experiences in every session. There will be 24/7 support through chat, phone, or email so that you can clear your doubts efficiently. Build a professional career in administration and develop the skills to manage daily office operations.

  • Up-to-date Generative AI modules
  • Learn 10+ Generative AI tools, including a ChatGPT course
  • Upskill through real projects
  • Gen AI masterclasses by industry experts
  • upGrad Alumni Status
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Why Choose The Office Admin Course?

Learn helpful office administration skills you may use immediately in your career. Get instructions from seasoned industry experts who share their knowledge and experience to help you succeed.

Download Brochure

Key Highlights of Office Admin Course

What does this course have to offer?

Our curriculum covers in-demand industry relevant topics

  • Time management
  • Communication skills
  • Organizational ability
  • Computer proficiency
  • Record keeping
  • Scheduling coordination
  • Customer service
  • Problem solving
  • Attention detail

Get a solid foundation in Office Administration with our beginner-friendly course. Learn the practical skills and critical concepts to manage daily office operations confidently.

  • Women having a Career Break.
  • Students and fresh graduates
  • Aspiring professionals
  • Career changers
  • Job Seekers wishing for a stable income
  • Office Assistants
  • Beginners in Admin Roles

If you want to get good at office administration, this course is a great place to start. It doesn’t matter if you’re a total beginner or already know a little about office administration – this program will show you how it’s done.

  • Receptionist
  • Office Assistant
  • Data Entry Operator
  • Administration Assistant
  • Office Administrator
  • HR Assistant
  • Customer Service Representative

This Office Admin course gives you the administration skills companies want, so you can get jobs in corporate offices. Look forward to building a great career now!

  • Transformers
  • ChatGPT
  • Prompt Engineering
  • Product Development
  • Product Development
  • Deploy Web Apps with Flask

Students must have completed their graduation to be eligible for this course.

Step into the World of Office Administration

Learn the basics of administration and get the skills you need to handle real workplace challenges, which can help you build confidence and grow in your professional career.

Contact us

Key Highlights of Office Admin Course

Earn Recognition with Office Admin Certification

Becoming certified in Office Administration can advance your professional career. It will improve the appearance of your resume and help you land better jobs.

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Courses

Meet Our Experts

Build connections with seasoned experts who can guide you and support you throughout your journey toward reaching your full career potential.

anand sir 2

CA Anand Kumar

CEO

veena

CA Veena Vijayan

Chief Operational Officer

anish sir 2

CA Anish Thomas

Academic Head - Karnataka

taniya

CA Taniya Mathew

Academic Head - Kerala

World-Class Curriculum

Master Office Administration with A World-Class Curriculum

Learn administration skills from professionals and get ready for the real world. You’ll learn what you need to feel confident and succeed in your job.

Download Syllabus

Duration : 7 Weeks

Machine Learning I:

This introductory course explores the foundational machine learning concepts, starting with Linear Regression and its practical applications. It then covers Logistic Regression and Naive Bayes, highlighting their use in classification tasks. Finally, the course covers model selection techniques to ensure the best performance of machine learning models in various scenarios.

Topics Covered:

  • Linear Regression
  • Linear Regression Assignment
  • Logistic Regression
  • Naive Bayes
  • Model Selection
  • Linear Regression
  • Linear Regression Assignment
  • Logistic Regression
  • Naive Bayes
  • Model Selection

Duration : 7 Weeks

Machine Learning I:

This introductory course explores the foundational machine learning concepts, starting with Linear Regression and its practical applications. It then covers Logistic Regression and Naive Bayes, highlighting their use in classification tasks. Finally, the course covers model selection techniques to ensure the best performance of machine learning models in various scenarios.

Topics Covered:

  • Linear Regression
  • Linear Regression Assignment
  • Logistic Regression
  • Naive Bayes
  • Model Selection
  • Linear Regression
  • Linear Regression Assignment
  • Logistic Regression
  • Naive Bayes
  • Model Selection

Duration : 7 Weeks

Machine Learning I:

This introductory course explores the foundational machine learning concepts, starting with Linear Regression and its practical applications. It then covers Logistic Regression and Naive Bayes, highlighting their use in classification tasks. Finally, the course covers model selection techniques to ensure the best performance of machine learning models in various scenarios.

Topics Covered:

  • Linear Regression
  • Linear Regression Assignment
  • Logistic Regression
  • Naive Bayes
  • Model Selection
  • Linear Regression
  • Linear Regression Assignment
  • Logistic Regression
  • Naive Bayes
  • Model Selection

Duration : 7 Weeks

Machine Learning I:

This introductory course explores the foundational machine learning concepts, starting with Linear Regression and its practical applications. It then covers Logistic Regression and Naive Bayes, highlighting their use in classification tasks. Finally, the course covers model selection techniques to ensure the best performance of machine learning models in various scenarios.

Topics Covered:

  • Linear Regression
  • Linear Regression Assignment
  • Logistic Regression
  • Naive Bayes
  • Model Selection
  • Linear Regression
  • Linear Regression Assignment
  • Logistic Regression
  • Naive Bayes
  • Model Selection

Duration : 7 Weeks

Machine Learning I:

This introductory course explores the foundational machine learning concepts, starting with Linear Regression and its practical applications. It then covers Logistic Regression and Naive Bayes, highlighting their use in classification tasks. Finally, the course covers model selection techniques to ensure the best performance of machine learning models in various scenarios.

Topics Covered:

  • Linear Regression
  • Linear Regression Assignment
  • Logistic Regression
  • Naive Bayes
  • Model Selection
  • Linear Regression
  • Linear Regression Assignment
  • Logistic Regression
  • Naive Bayes
  • Model Selection

Duration : 7 Weeks

Machine Learning I:

This introductory course explores the foundational machine learning concepts, starting with Linear Regression and its practical applications. It then covers Logistic Regression and Naive Bayes, highlighting their use in classification tasks. Finally, the course covers model selection techniques to ensure the best performance of machine learning models in various scenarios.

Topics Covered:

  • Linear Regression
  • Linear Regression Assignment
  • Logistic Regression
  • Naive Bayes
  • Model Selection
  • Linear Regression
  • Linear Regression Assignment
  • Logistic Regression
  • Naive Bayes
  • Model Selection

Duration : 7 Weeks

Machine Learning I:

This introductory course explores the foundational machine learning concepts, starting with Linear Regression and its practical applications. It then covers Logistic Regression and Naive Bayes, highlighting their use in classification tasks. Finally, the course covers model selection techniques to ensure the best performance of machine learning models in various scenarios.

Topics Covered:

  • Linear Regression
  • Linear Regression Assignment
  • Logistic Regression
  • Naive Bayes
  • Model Selection
  • Linear Regression
  • Linear Regression Assignment
  • Logistic Regression
  • Naive Bayes
  • Model Selection

Duration : 7 Weeks

Machine Learning I:

This introductory course explores the foundational machine learning concepts, starting with Linear Regression and its practical applications. It then covers Logistic Regression and Naive Bayes, highlighting their use in classification tasks. Finally, the course covers model selection techniques to ensure the best performance of machine learning models in various scenarios.

Topics Covered:

  • Linear Regression
  • Linear Regression Assignment
  • Logistic Regression
  • Naive Bayes
  • Model Selection
  • Linear Regression
  • Linear Regression Assignment
  • Logistic Regression
  • Naive Bayes
  • Model Selection

What you'll learn

  • Roles and responsibilities of an office administrator
  • Types of modern offices (corporate, virtual, co-working)

Skills you'll gain

  • Model Selection
  • Data Analysis
  • Python Programming
  • Data Visualization
  • Predictive Modelling

What you'll learn

  • Basic accounting concepts and terminologies only for data entry-level understanding

Skills you'll gain

  • Model Selection
  • Data Analysis
  • Python Programming
  • Data Visualization
  • Predictive Modelling

What you'll learn

  • Tally basics only. Understanding data entry in accounting software

Skills you'll gain

  • Model Selection
  • Data Analysis
  • Python Programming
  • Data Visualization
  • Predictive Modelling

What you'll learn

  • POS System Basics
  • Transaction Processing
  • Inventory Management
  • Customer Management
  • Reporting and Analytics
  • Troubleshooting and Maintenance
  • Security and Compliance

Skills you'll gain

  • Model Selection
  • Data Analysis
  • Python Programming
  • Data Visualization
  • Predictive Modelling

What you'll learn

  • Professional Appearance and Behaviour
  • Reception and Visitor Management
  • Phone and Communication Etiquette
  • Meeting and Event Etiquette (calendar management)
  • Workplace Relationships and Boundaries
  • Office Environment Management
  • Digital and Technology Etiquette
  • Managing records and filing systems (digital & physical)

Skills you'll gain

  • Model Selection
  • Data Analysis
  • Python Programming
  • Data Visualization
  • Predictive Modelling

What you'll learn

  • Basic communication class similar to that we give to JOC students

Skills you'll gain

  • Model Selection
  • Data Analysis
  • Python Programming
  • Data Visualization
  • Predictive Modelling

What you'll learn

  • Verbal Communication Skills
  • Written Communication
  • Interpersonal Communication
  • Digital Communication
  • Customer Service Communication
  • Internal Communication

Skills you'll gain

  • Model Selection
  • Data Analysis
  • Python Programming
  • Data Visualization
  • Predictive Modelling

What you'll learn

  • MS Word
  • MS Excel
  • MS PowerPoint

Skills you'll gain

  • Model Selection
  • Data Analysis
  • Python Programming
  • Data Visualization
  • Predictive Modelling

What you'll learn

  • HR documentation and employee records
  • Attendance and leave management systems
  • Recruitment and onboarding support
  • Workplace policies and compliance

Skills you'll gain

  • Model Selection
  • Data Analysis
  • Python Programming
  • Data Visualization
  • Predictive Modelling

Instructors

arun chacko scaled

Arun Chacko

Office Admin Course Highlights

Skills You'll acquire

Effective time management

Professional communication skills

Strong organizational ability

Practical computer proficiency

Accurate record keeping

Efficient task coordination

Customer service excellence

Problem-solving techniques

Digital Marketing Course Career Outcomes

What our learners have achieved?

A quick summary of the placement support received by this program’s alumni

32%

Avg. Salary Hike

86%

Learners Achieving their Outcomes

3500+

Successful Transitions

250+

Hiring Partners

Top Recruiters

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Digital Marketing Course Eligibility & Admissions

How To Apply

The application journey is simple and straightforward, and can be completed in three easy steps.

Apply Now

Fill the Application Form

Fill out the application form on the upGrad portal

Get Shortlisted

You will receive a shortlisting email based on your profile

Block Your Seat

Secure your seat by paying the course fee

Industry Experts - Digital Marketing and Communications

Learn from Seasoned Industry Practitioners

Become an Office Administration Expert

Boost your confidence with Office Administration by taking our easy online course. You’ll learn all the essentials to advance your office admin career.

Contact us

FAQ

Frequently Asked Questions

The application journey is simple and straightforward, and can be completed in three easy steps.

Who is eligible to enroll in an Office Admin Course?

Anyone interested in learning Office Administration can enroll in this course. It’s perfect for students, aspiring professionals, and anyone looking to learn office administration.

Yes, this course is designed for beginners. You will receive step-by-step assistance in Office Administration effectively.

This course is specifically designed to teach students the core basics of office administration in a simple, practical way.

You can access recorded videos to make up for missed classes.

After completing the course, you can explore roles like Receptionist, Office Assistant, Data Entry Operator, Administration Assistant, Office Administrator, and more.

World-Class Curriculum

Master CAS Foundation with a World-Class Curriculum

Master the CAS Foundation with expert coaching, gain practical skills, and boldly advance your career. Get hands-on experience and excel in data-driven decision-making

Download Syllabus

Duration : 7 Weeks

Machine Learning I:

This introductory course explores the foundational machine learning concepts, starting with Linear Regression and its practical applications. It then covers Logistic Regression and Naive Bayes, highlighting their use in classification tasks. Finally, the course covers model selection techniques to ensure the best performance of machine learning models in various scenarios.

Topics Covered:

  • Linear Regression
  • Linear Regression Assignment
  • Logistic Regression
  • Naive Bayes
  • Model Selection
  • Linear Regression
  • Linear Regression Assignment
  • Logistic Regression
  • Naive Bayes
  • Model Selection

Duration : 7 Weeks

Machine Learning I:

This introductory course explores the foundational machine learning concepts, starting with Linear Regression and its practical applications. It then covers Logistic Regression and Naive Bayes, highlighting their use in classification tasks. Finally, the course covers model selection techniques to ensure the best performance of machine learning models in various scenarios.

Topics Covered:

  • Linear Regression
  • Linear Regression Assignment
  • Logistic Regression
  • Naive Bayes
  • Model Selection
  • Linear Regression
  • Linear Regression Assignment
  • Logistic Regression
  • Naive Bayes
  • Model Selection

Duration : 7 Weeks

Machine Learning I:

This introductory course explores the foundational machine learning concepts, starting with Linear Regression and its practical applications. It then covers Logistic Regression and Naive Bayes, highlighting their use in classification tasks. Finally, the course covers model selection techniques to ensure the best performance of machine learning models in various scenarios.

Topics Covered:

  • Linear Regression
  • Linear Regression Assignment
  • Logistic Regression
  • Naive Bayes
  • Model Selection
  • Linear Regression
  • Linear Regression Assignment
  • Logistic Regression
  • Naive Bayes
  • Model Selection

Duration : 7 Weeks

Machine Learning I:

This introductory course explores the foundational machine learning concepts, starting with Linear Regression and its practical applications. It then covers Logistic Regression and Naive Bayes, highlighting their use in classification tasks. Finally, the course covers model selection techniques to ensure the best performance of machine learning models in various scenarios.

Topics Covered:

  • Linear Regression
  • Linear Regression Assignment
  • Logistic Regression
  • Naive Bayes
  • Model Selection
  • Linear Regression
  • Linear Regression Assignment
  • Logistic Regression
  • Naive Bayes
  • Model Selection

Duration : 7 Weeks

Machine Learning I:

This introductory course explores the foundational machine learning concepts, starting with Linear Regression and its practical applications. It then covers Logistic Regression and Naive Bayes, highlighting their use in classification tasks. Finally, the course covers model selection techniques to ensure the best performance of machine learning models in various scenarios.

Topics Covered:

  • Linear Regression
  • Linear Regression Assignment
  • Logistic Regression
  • Naive Bayes
  • Model Selection
  • Linear Regression
  • Linear Regression Assignment
  • Logistic Regression
  • Naive Bayes
  • Model Selection

Duration : 7 Weeks

Machine Learning I:

This introductory course explores the foundational machine learning concepts, starting with Linear Regression and its practical applications. It then covers Logistic Regression and Naive Bayes, highlighting their use in classification tasks. Finally, the course covers model selection techniques to ensure the best performance of machine learning models in various scenarios.

Topics Covered:

  • Linear Regression
  • Linear Regression Assignment
  • Logistic Regression
  • Naive Bayes
  • Model Selection
  • Linear Regression
  • Linear Regression Assignment
  • Logistic Regression
  • Naive Bayes
  • Model Selection

Duration : 7 Weeks

Machine Learning I:

This introductory course explores the foundational machine learning concepts, starting with Linear Regression and its practical applications. It then covers Logistic Regression and Naive Bayes, highlighting their use in classification tasks. Finally, the course covers model selection techniques to ensure the best performance of machine learning models in various scenarios.

Topics Covered:

  • Linear Regression
  • Linear Regression Assignment
  • Logistic Regression
  • Naive Bayes
  • Model Selection
  • Linear Regression
  • Linear Regression Assignment
  • Logistic Regression
  • Naive Bayes
  • Model Selection

Duration : 7 Weeks

Machine Learning I:

This introductory course explores the foundational machine learning concepts, starting with Linear Regression and its practical applications. It then covers Logistic Regression and Naive Bayes, highlighting their use in classification tasks. Finally, the course covers model selection techniques to ensure the best performance of machine learning models in various scenarios.

Topics Covered:

  • Linear Regression
  • Linear Regression Assignment
  • Logistic Regression
  • Naive Bayes
  • Model Selection
  • Linear Regression
  • Linear Regression Assignment
  • Logistic Regression
  • Naive Bayes
  • Model Selection

What you'll learn

  • Practical Accounting - Introduction
  • Legal Entities
  • Accounting Terms
  • Debits and Credits
  • Accrual Concept
  • Accounting Cycle
  • Source Documents
  • Journal Entry
  • Ledger Accounts
  • Trial Balance
  • Adjustments: Outstanding expenses
  • Adjustments: Prepaid expenses
  • Adjustments: Accrued income
  • Adjustments: Income received in advance
  • Adjustments: Depreciation
  • Adjustments: Bad Debts & Provision
  • Trading and Profit and Loss Account
  • Balance Sheet
  • GST Accounting
  • Income Tax Accounting
  • TDS & Advance Tax Accounting
  • Bank Reconciliation
  • Conclusion
  • Case study

Skills you'll gain

  • Model Selection
  • Data Analysis
  • Python Programming
  • Data Visualization
  • Predictive Modelling

What you'll learn

  • Introduction
  • Installation and Activation
  • Company creation, alteration, deletion
  • Company creation, alteration, deletion
  • Load Company
  • Ledger Creation
  • Group
  • Chart of Accounts
  • Case Study 1
  • Inventory Management
  • Case Study 1
  • Accounting Vouchers
  • Order Vouchers
  • Inventory Voucher
  • Payroll Voucher
  • POS Invoice
  • Bill Wise Details
  • Cost category and Cost centre
  • TDS
  • Case Study 1 - Voucher Discussion
  • Task for the day - upto pdf no.15
  • April month set off , BRS and May
  • June, July & August
  • September, October & November
  • December, January, February & March
  • Manufacturing & BOM
  • Audit Trail
  • Cheque Register
  • Case Study 2
  • Company Creation
  • Company BOM
  • April Month
  • May& June
  • July & August
  • September,October & November
  • December,January & February
  • March & Balance sheet

Skills you'll gain

  • Model Selection
  • Data Analysis
  • Python Programming
  • Data Visualization
  • Predictive Modelling

What you'll learn

  • Introduction
  • GST Mechanism
  • HSN & SAC
  • GST Registration
  • Supply
  • Type of Supply
  • Place of Supply
  • Place of Supply in case of Goods
  • Place of Supply in Case of Service
  • Value of Supply
  • General / Normal Cases
  • Introduction and Reverse Charge Mechanism
  • RCM on Goods and Services
  • GST on E-Commerce Operator
  • Input Tax Credit (Introduction)
  • GST PPT 2 ( Module 24 Onwards)
  • Blocked Credit & Setoff
  • Classification of Input
  • Reversal of ITC
  • Credit Note & Debit Note
  • Content & Time Limit
  • Composition Scheme (Introduction & Eligiblity)
  • Rules
  • Rates & Advantages
  • Invoicing (Introduction & type of Invoice)
  • Content of Invoice
  • Accounts & Records
  • Electronic Cash & Credit Ledger
  • E- Way Bill
  • E-Way Rule & Validity
  • Applicable Cases
  • Generate E-Way Bill
  • E-Invoice
  • Benefits of E-Invoice
  • GST Returns & Introducction
  • GSTR 1 & IFF
  • GSTR 3B
  • QRMP Scheme
  • GST Revision and Recap

Skills you'll gain

  • Model Selection
  • Data Analysis
  • Python Programming
  • Data Visualization
  • Predictive Modelling

What you'll learn

  • MS EXCEL
  • Welcome to the world of Microsoft Excel.
  • Familiarising with Excel interface.
  • case study
  • Find and Replace
  • Formatting data and styling it
  • Conditional formatting and removing duplicates
  • case study
  • Average,Count,Round
  • Sum & Vlookup
  • Lookup part 2
  • left , Right, Mid, Concatenate functions
  • case study
  • If functions
  • Sumif function
  • Working with pivot tables
  • Presentation techniques in Excel
  • Saving time using shortcut keys
  • case study
  • MS WORD
  • MS POWER POINT

Skills you'll gain

  • Model Selection
  • Data Analysis
  • Python Programming
  • Data Visualization
  • Predictive Modelling

What you'll learn

  • Introduction to income tax
  • Tax rate, heads of income
  • Residential status
  • Introduction to TDS, Due date, TDS Certificate
  • TDS on payments
  • Meeting with an Industry Expert
  • TDS on payments
  • TCS
  • Advance tax
  • Meeting with an Industry Expert (TDS Filing)

Skills you'll gain

  • Model Selection
  • Data Analysis
  • Python Programming
  • Data Visualization
  • Predictive Modelling

What you'll learn

  • THEORY
  • ESI
  • PF
  • Meeting with an Industry Expert(ESI-PF Filing)

Skills you'll gain

  • Model Selection
  • Data Analysis
  • Python Programming
  • Data Visualization
  • Predictive Modelling

What you'll learn

  • THEORY

Skills you'll gain

  • Model Selection
  • Data Analysis
  • Python Programming
  • Data Visualization
  • Predictive Modelling

What you'll learn

  • Introduction, Overview of CT,Taxability of resident , Taxability of non residents, Partnership and family foundaton
  • Tax group ,Exempt persons
  • Freezone person
  • Meeting with an Industry Expert(CT calculation, Tax return and record keeping)

Skills you'll gain

  • Model Selection
  • Data Analysis
  • Python Programming
  • Data Visualization
  • Predictive Modelling

What you'll learn

  • Introduction
  • Definition
  • Place of Supply
  • VAT Rate Applicable
  • VAT Registration
  • Input Tax Credit
  • Import & RCM
  • Export
  • Tax Invoice
  • Tax Credit Note
  • Designated Zone
  • Accounting Entries
  • Procedure for Filing Return
  • Record Keeping
  • Penalty
  • Introduction to Tally Prime
  • SOHAL CIRCLE Assignment
  • Case Study- ABC LLC (first 3 set of transactions)
  • Case Study- ABC LLC (last 3 set of transactions)

Skills you'll gain

  • Model Selection
  • Data Analysis
  • Python Programming
  • Data Visualization
  • Predictive Modelling

Instructors

Group 1722

IBM Skills Network Team

IBM
58 Courses • 1,041,505 learners

Group 1722

IBM Skills Network Team

IBM
58 Courses • 1,041,505 learners

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Finprov inspires the next generation of world-class accounting, finance, and digital marketing professionals with a combination of expert trainers and innovative learning methods. Explore us more on social media for updates, skill development sessions, expert interactions, and much more.

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Get Your Course Syllabus

Download a detailed syllabus with course information, key topics, module breakdowns, assessment criteria,  and more.

Join us on social media for news, tips, and course updates!

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