Who Should Join
- Accounting and Finance Students – To gain practical skills in managing data, preparing reports, and performing financial analysis.
- Business and Management Students – Essential for understanding data-driven decision-making, budgeting, and inventory management.
- Data Analysts and Aspiring Data Professionals – Offers foundational tools like pivot tables, formulas, and scenario analysis for handling large datasets.
- Retail Store Managers and Logistics Staff– Useful for inventory tracking, sales.
- Human Resources (HR) Professionals – Beneficial for managing employee data, attendance records, and performance analysis.
- Project Managers – Enables tracking project progress, managing resources, and scenario planning for effective project outcomes.
- Entrepreneurs and Small Business Owners – Essential for budgeting, sales analysis, and performance reporting to optimize business decisions.
what you'll learn?
After completion of the course, you can get a suitable position in any organization as an Accounts Assistant, Finance Analyst, Retail Store Manager and Data Analyst in any organization.
Objective
The course focuses on practical knowledge and application. The aim is to make the learner efficient and to offer him or her rewarding career.
Course Features
- Learn advanced Excel functions
- Data visualization techniques
- Pivot tables and dashboards
- Real-world case studies
Eligibility
Anyone with a basic understanding of Microsoft Excel and a keen interest in data analysis and management.
Syllabus
The syllabus covers the following skills:
- Apply custom formats and layouts
- Create advanced formulas
- Use of Scenario
- Pivot tables and charts
- Manage and share workbooks
Basics of Data Management ▲
- Introduction to Data Management
- How do professionals organize their data?
- Meta Data and Big Data
- Freelance Data Entry Jobs
Introduction to Computer Typing and Data Entry ▲
- Introduction to Typing
- Keyboarding
- Ergonomic Typing
Introduction to various Typing Methods ▲
Using different types of keys and symbols in typing Google Docs – Voice Typing Lipikaar App.
Introduction to Data Analysis ▲
- Using different types of keys and symbols in typing
- Google Docs – Voice Typing
- Lipikaar App
- Text Formulas
- Text Manipulation Functions
Apply Custom Formats and Layouts
▲
- Apply Custom Data Formats
- Use Advanced Fill Options
- Apply Advanced Conditional Formatting and Filtering
- Apply Custom Styles and Templates
- Use Form Controls
- Prepare Workbooks for Internationalization
- Use Outlines
- Use Custom Views
Create Advanced Charts
▲
- Basic Excel Charts
- Use Area, Scatter & Stock Charts
- Use Surface, Radar & Combination Charts
- Create Custom Chart Templates
- Work with Sparkline’s
Pivot tables and charts
▲
- Pivot Tables
- Use Pivot Charts
- Create Dashboard using Pivot Table
- Using Power Query
Data Visualisation and Data Analysis
▲
- Use of Macros
- Using Data Tables
- Create Dashboard using Pivot Tables
- Using Power Query
Use Scenarios
▲
- Use What-If Analysis Tools
- Create Scenarios
- Merge Scenarios
- Create Scenario Summaries
- Use Data Tables
Manage and Share Workbooks
▲
- Manage Workbook Versions
- Copy Styles between Workbooks
- Copy Macros between Workbooks
- Use Track Changes and Comments
- Merge Workbooks
- Protect Workbooks for Sharing
- Connect To External Data
Typical Data Entry Projects
▲
- File Conversion from PDF to Word
Create advanced formulas
▲
- Functions
- Apply functions in formulas
- Mathematical Functions
- Financial functions
- Useful Data Functions
- Some Other Useful Functions
- Look up data by using functions
- Apply advanced date and time functions
- Functions for Manipulating Text
- Arrays
Free and Open-Source Tools for Data management
▲
- Working with Google Sheets
- Working with Google Forms
- Working with Google Keep
- Using OpenOffice.org Writer
- Using OpenOffice.org Calc
- Using Komprehend
- Using Google Data Studio
Different Data Entry Methods and Data Cleaning
▲
- Using Komprehend
- Excel Shortcuts
- Mail Merge in MS Word
- Compare Docs using MS Word
Introduction to DBMS
▲
- What is a DBMS and its purpose?
- Types of DBMS
- Examples of DBMS - MySQL, Oracle, etc.
