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Diploma In Indian Accounting Course

Empower Your Career with a Diploma in Indian Accounting. Develop practical skills in Indian accounting to stand out in the competitive finance industry. Join our course to quickly achieve your dream career and earn a high salary in India. Take the first step toward success—secure your future with industry-relevant expertise and hands-on training today!

Offline Price

29500

Online Price

22125

Duration

4 Months

Download Syllabus
Apply Now
  • Finance
  • Cloud Accounting
  • Online & Offline
  • Malayalam, English
  • Trending Now! Turn Numbers into Opportunities.
  • Secure your spot today—Call now to 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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Introduction to DIA Course

Course Snapshot

Hours of Learning
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Industry Projects
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Accounting Tools
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Are you intending to pursue a career in accounting? Then you should do the Diploma in Indian Accounting course. This course is tailored to meet your needs and help you succeed in competitive accounting. Commerce graduate students benefit significantly from Finprov’s accounting course, where they learn about GST, income tax, accounting, bookkeeping, financial laws, and more, enhancing their employment prospects. Experienced chartered accountants and industry professionals created this course to provide students with a methodical education and in-depth understanding. Grab this golden opportunity to safeguard your future in trusted hands.

  • 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 DIA Course?

It’s your secret to becoming an expert in Indian accounting and taxation: Acquire valuable skills and unlock doors to rewarding accounting-related employment prospects.

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Key Highlights of DIA Course

What does this course have to offer?

Our curriculum covers in-demand industry relevant topics

  • Understanding double-entry bookkeeping
  • Preparing financial statements
  • GST calculation, filing, and compliance
  • Income tax computation & TDS
  • Mastering Tally Prime, Zoho Books
  • Salary processing
  • Professional tax handling
  • Understanding company law and internal auditing
  • Managing bank statements and analyzing financial data

Learn the foundations of the Diploma in Indian Accounting (DIA), including financial reporting, taxation, and bookkeeping, to improve your accounting skills.

  • Students & Graduates
  • Aspiring Accountants
  • Small Business Owners
  • Working Professionals
  • Freelancers & Consultants
  • Entrepreneurs & Startups
  • Career Switchers

The DIA course is ideal for anyone who wishes to establish a solid foundation in accounting. It covers everything from financial reporting to taxation, making accounting more straightforward and effective.

  • Accountant
  • Bookkeeper
  • Financial Analyst
  • Payroll Specialist
  • Tax Consultant
  • Finance Manager
  • Accounts Receivable/Payable Clerk
  • Billing Specialist

The DIA course will prepare you for various accounting, taxation, payroll management, and financial reporting roles.

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

Students must have completed Plus Two or a higher level certificate to be eligible for the DIA course.

Start Your Accounting Career Today.

Begin your adventure with the DIA course and learn to excel in the accounting sector.

Download Syllabus

Earn Valuable Credentials And recognition

Make your resume stand out with an Advanced Certification in Tally Prime and boost your accounting career.

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Key Highlights of DIA Course

Earn Recognition With DIA Certification

Stand out with a professional certification in Accounting and Finance.

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WhatsApp Image 2025-01-10 at 15.32.20

Courses

Meet Our Mentors

Connect the specialists who will guide you through your learning journey and help you achieve your career objectives.

Ashna 1

CA Ashna Bharath Pillai

Chief Financial Officer

Veena

CA Veena Vijayan

Chief Academic Officer

Anish

CA Anish Thomas

Academic head - Karnataka

Tanya

CA Taniya Mathew

Academic head - Kerala

World-Class Curriculum

Master Accounting With A World-Class Curriculum

Enroll in this course to enhance your accounting foundation with a thorough, industry-relevant curriculum and training. Then, build a rewarding career.

Download Syllabus

Duration : 3 Months

DIA I:

This introductory course explores the foundational Practical concepts, starting with the Accounting cycle. It then covers Tally Prime and Goods and Services Taxes. Finally, the course covers ESI, PF and PT concepts in detail.

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

  • Explain what Data Analytics is and the key steps in the Data Analytics process
  • Differentiate between different data roles such as Data Engineer, Data Analyst, Data Scientist, Business Analyst, and Business Intelligence Analyst
  • Describe the different types of data structures, file formats, and sources of data
  • Describe the data analysis process involving collecting, wrangling, mining, and visualizing data

Skills you'll gain

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

What you'll learn

  • Explain what Data Analytics is and the key steps in the Data Analytics process
  • Differentiate between different data roles such as Data Engineer, Data Analyst, Data Scientist, Business Analyst, and Business Intelligence Analyst
  • Describe the different types of data structures, file formats, and sources of data
  • Describe the data analysis process involving collecting, wrangling, mining, and visualizing data

Skills you'll gain

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

What you'll learn

  • Explain what Data Analytics is and the key steps in the Data Analytics process
  • Differentiate between different data roles such as Data Engineer, Data Analyst, Data Scientist, Business Analyst, and Business Intelligence Analyst
  • Describe the different types of data structures, file formats, and sources of data
  • Describe the data analysis process involving collecting, wrangling, mining, and visualizing data

Skills you'll gain

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

What you'll learn

  • Explain what Data Analytics is and the key steps in the Data Analytics process
  • Differentiate between different data roles such as Data Engineer, Data Analyst, Data Scientist, Business Analyst, and Business Intelligence Analyst
  • Describe the different types of data structures, file formats, and sources of data
  • Describe the data analysis process involving collecting, wrangling, mining, and visualizing data

Skills you'll gain

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

What you'll learn

  • Explain what Data Analytics is and the key steps in the Data Analytics process
  • Differentiate between different data roles such as Data Engineer, Data Analyst, Data Scientist, Business Analyst, and Business Intelligence Analyst
  • Describe the different types of data structures, file formats, and sources of data
  • Describe the data analysis process involving collecting, wrangling, mining, and visualizing data

Skills you'll gain

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

What you'll learn

  • Explain what Data Analytics is and the key steps in the Data Analytics process
  • Differentiate between different data roles such as Data Engineer, Data Analyst, Data Scientist, Business Analyst, and Business Intelligence Analyst
  • Describe the different types of data structures, file formats, and sources of data
  • Describe the data analysis process involving collecting, wrangling, mining, and visualizing data

Skills you'll gain

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

What you'll learn

  • Explain what Data Analytics is and the key steps in the Data Analytics process
  • Differentiate between different data roles such as Data Engineer, Data Analyst, Data Scientist, Business Analyst, and Business Intelligence Analyst
  • Describe the different types of data structures, file formats, and sources of data
  • Describe the data analysis process involving collecting, wrangling, mining, and visualizing data

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

Diploma In Indian Accounting Course Highlights

Skills You Will Learn

Creating Bills (Invoices)

Filing Taxes (GST)

Checking Bank Statements

Managing Cash Flow

Paying Bills on Time

Organizing Financial Documents

Making Simple Reports

Diploma In Indian Accounting Course Career Outcomes

What our learners have achieved?

 A short overview of the placement support offered to alumni of this program.

100%

Placed Students

90%

Placement Rate

100+

Hiring Partners

100%

Placement Assistance

Top Recruiters

Group 1171274777
Group 1171274778
Group 1171274779
Group 1171274780

Diploma in Indian Accounting 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 - Diploma in Indian Accounting

Learn from Industry Leaders And Experts.

Make An Impact With Accounting Expertise.

Learn the financial skills that drive successful businesses. Our training teaches you how to acquire the knowledge that drives company growth.

Download Syllabus

FAQ

Frequently Asked Questions

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

Who should enroll in the Diploma in Indian Accounting course?

Accountants, small business owners, and accounting students can enroll in this course.

No, but learning basic accounting knowledge would be much easier.

Yes, We offer online options for the DIA course, allowing flexibility for working professionals.

Our course is designed to provide a solid foundation in India’s tax laws and accounting standards.

Yes, The skills and knowledge from this course are meant to help you manage a company’s financial operations effectively.

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