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Basics of Microsoft Excel Course- English

Learn the Basics of Microsoft Excel with expert training and gain useful skills to work with data efficiently. Understand how to organize information, use formulas, and create reports. This course helps you improve productivity, analyze data easily, and manage tasks effectively.

No Cost EMI

Start Date

Starts at Rs. 6,458

Duration

Hrs

Download Syllabus
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  • Finance
  • Online - Self Paced
  • English
  • Hurry! 665 people have already applied in the last 1 month
  • For enquiries call: Get Started
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Choose Your Perfect Course

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

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

Introduction to Basics of Microsoft Excel Course

Course Snapshot

Hours of Learning
0 +
Industry Projects
0 +
GenAI Tools
0 +

Microsoft Excel is a popular tool for accountants and finance professionals. Finprov’s online course teaches you how to use Excel easily and effectively. You will learn both basic and advanced features like Conditional Formatting, Lookup, IF Function, SUMIF, Pivot Tables, and shortcuts. This course helps you work faster, organize data better, and improve your Excel skills.

  • 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 Basics of Microsoft Excel Course?

Finprov’s course provides complete knowledge about the Basics of Microsoft Excel. This course covers the entire process of using Excel for data management, applying formulas, and creating reports.

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Key Highlights of Basics of Microsoft Excel Course

What does this course have to offer?

Our curriculum covers in-demand industry relevant topics

  • Familiarizing with excel interface and functions
  • Formatting, Conditional formatting and removing duplicates
  • Average, count and round functions, Sum & Look-up
  • If function, Sum If function, Shortcut keys
  • Left, Right, Mid and Concatenate functions
  • Working with pivot tables, Presentation techniques in excel

Learn the basics of Microsoft Excel, including organizing data, using formulas, and creating reports, to improve your productivity and efficiency.

  • Students who want to learn Excel for academic and professional use.
  • Job Seekers looking to improve their Excel skills for better job opportunities.
  • Working Professionals who need Excel for data management and reporting.
  • Entrepreneurs & Business Owners who want to organize and analyze data efficiently.
  • Anyone who wants to master the basics of Microsoft Excel.

Microsoft Excel helps users organize data, perform calculations, and create reports efficiently. This course provides a simple and practical approach to learning Excel, making data management and analysis easier.

  • Data Entry Operator
  • Accounts Assistant
  • Administrative Executive
  • Financial Analyst (Entry-Level)
  • Business Analyst (Entry-Level)
  • Office Assistant
  • Sales and Marketing Executive

Understanding Microsoft Excel is a key skill for various job roles. This course helps you build a strong foundation for better career opportunities in data management, accounting, and business analysis.

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

The MS Excel course is open to students, professionals, and business owners with a basic understanding of accounting and invoicing concepts.

Kickstart Your Career Journey Today

Begin by taking the Basics of Microsoft Excel course to become familiar with accounting software and gain the skills needed for financial management success.

Download Syllabus

Advance your career with in-demand skills

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Key Highlights of Generative AI Course

Earn valuable credentials and recognition

Make your portfolio stand apart with an Advanced Certification in Generative AI

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Courses

Meet Our Expert Team

Learn more about the experts who will be supporting your learning
journey and helping you achieve your career goals
photoee

CA Ashna Bharath Pillai

Business & Tax Regulatory​

photoee

CA Ashna Bharath Pillai

Business & Tax Regulatory​

photoee

CA Ashna Bharath Pillai

Business & Tax Regulatory​

photoee

CA Ashna Bharath Pillai

Business & Tax Regulatory​

World-Class Curriculum

Master Marketing with a World-Class Curriculum

Prepare for a career in the high-growth field of data analytics. In this program, you’ll learn in-demand skills like Python, Excel, and SQL to get job-ready in as little as 4 months.

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

  • 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

Basics of MS Excel Course Highlights

Skills You Will Acquire

Working with Pivot Tables and charts

Using shortcuts to improve productivity

Basics of Microsoft Excel

Analyzing and visualizing data effectively

Organizing and managing data efficiently

Using formulas and functions for calculations

Creating and formatting spreadsheets

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

Group 1171274777
Group 1171274778
Group 1171274779
Group 1171274780

Basics of Microsoft Excel 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 Finprov's Official Website

Get Shortlisted

You will receive a shortlisting email based on your profile

Block Your Seat

Secure your seat by paying the course fee

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Start with a free course in AI today

Learn about various machine learning techniques, their applications and use cases. Furthermore, you will learn about deep learning and understand how it differs from machine learning.
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FAQ

Frequently Asked Questions

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

Do I need prior experience to take this course?

No, this course is designed for beginners. You will learn everything from the basics.

Get quick doubt resolution from peers, teaching assistants from the Gen AI training course

Receive personalized feedback on assignments and case studies

Get specialized feedback on projects/assignments

Attend regular live classes by experts to address doubts regarding Generative AI courses

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

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