Track
Back Office
Duration
60 hours
Skill Level
Advanced
Language
English
About this Course
Learn efficient data entry methods, validation, shortcuts, and automated formatting.
Learning Mode: Learn at ALC or at Home
Detailed Course Curriculum
Hands-on module breakdown aligned with MKCL production standards and industry requirements.
- Data Entry Tasks
- Quickly convert hard copy to soft copy
- Changing the layout of data from columns to rows quickly
- Adding forms to the Quick Access Toolbar
- Entering numbers, dates, days, or months serially into cells
- Entering text to specify quantity before or after a numeric value
- Using the summation formula to calculate the total amount in a spreadsheet
- Changing the format of the date entered selected cells
- Calculating the balance amount and displaying negative numbers properly
- Deleting blank or redundant cells from the middle of the spreadsheet
- Entering same data into various cells of the spreadsheet
- Deleting duplicate data from the spreadsheet
- Data Validation: Introducing a dropdown list for entering a fixed or limited range of data into the cells
- Using the data validation feature to quickly introduce more than two kinds of data into the dropdown list for cells
- See the fixed list of values for a column cell
- Conditional Formatting
- Sort & Filter
- File conversion from pdf to word
- What are the key data entry skills
- What is image assisted data entry
- Scanning Image (De-pixelation)
- Resizing images
- Data Validation
- Compression of documents
- Applying page size settings and print settings
- Merge and Split documents
- Report Creation
- Reporting and presentation of data
- Adding Digital Signature
- Formatting Email
- Proofreading your document
- Proofreading your document with auto-correct
- Password-protecting files and documents
- Encrypted PDFs
- Website scrape case study
- Data Entry - collect specific information from website
- Basic DBMS
- What is Apache OpenOffice?
- Why OpenOffice?
- Apache OpenOffice Product Description
- Where is Apache OpenOffice Used?
- Overview of OpenOffice Calc
- Navigating OpenOffice Calc Interface
- Customizing User Interface & Toolbar
- Options under OpenOffice Tools
- Important Properties in Calc
- Worksheet Basics
- Workbook & Worksheet Basics
- Creating, Opening, and Saving Workbooks
- Basic Spreadsheet Operations
- Entering and Editing Data
- Using Clipboard Options Effectively
- Paste Special Features
- Auto-Fill Features
- Create Auto-Fill List
- Working with Cells
- Working with Sheets
- Using Basic Formulas and Functions
- Working with Rows
- Working with Columns
- Case Study: Filling Employee Information
- Things to Remember While Filling Information
- Getting Ready for Data Entry
- Cell References in Calc
- Absolute & Mixed Cell References
- Introduction to Cell Formatting
- Deep Dive into Cell Formatting
- Conditional Formatting
- Advanced Conditional Formatting
- Data Validation & Lists
- Input Messages & Error Prompts
- Case Study: Cleaning Employee Database
- Introduction to Functions and Formulas
- Basic Mathematical Formulas
- Everyday Functions
- Basic Logical Functions
- Text Functions
- Advanced Text Functions
- Commonly used Date Functions
- Advanced Date Functions
- Date Formats in Calc
- Time Formats in Calc
- Calculating Age of a Person
- Advanced Functions in Calc
- Lookup Functions
- Reference Functions
- Index and Match Functions
- Financial Functions
- Statistical Functions
- Advanced Statistical Functions
- Nested Functions in Calc
- Case Study: Formatting Employee Database
- Case Study: Revamping Employee Database
- Data Crunching
- Data Filtering
- Sorting of Data
- Data Arrangement with Outlining
- Data Consolidation
- Getting External Dataset
- Using Goal Seek
- Data Solver
- Advanced Scenarios
- Case Study: Working with Sales Data
- Case Study: Using Formulas
- Introduction to Pivot Tables
- Difference between Table and Pivot Table
- Creating a basic Data Table
- Creating a basic Pivot Table
- Calculations in Pivot Table
- Advanced Calculations
- Filtering Data in Pivot Table
- Formatting in Pivot Table
- Creating Pivot Charts
- Case Study: Analyzing Sales Data
- Built-In Formula Tools
- Keyboard Shortcuts and Productivity Tips
- Tracing Errors in Formulas
- Auditing and Tracing Formulas
- Error Handling in Formulas
- Common Error Functions
- Creating Named Ranges
- Using Named Ranges
- Workbook & Worksheet Protection
- Cell Protection in Calc
- Introduction to OpenOffice Writer
- Overview of OpenOffice Writer
- Navigating the OpenOffice Writer Interface
- Customizing the Interface & Toolbars
- Pages & Views in Writer
- Creating, Opening, and Saving Workbooks
- Opening & Saving Other Formats
- Getting Help on Writer
- Working with Text
- Setting up the Writer
- Choosing Options that affect OOS
- Options for Loading and Saving
- Options for Writer
- Options for HTML Document
- Options for Language Settings
- Auto Correct Options in Writer
- Cut, Copy and Paste
- Alignment in Writer
- Formatting of Pages
- Numbering of Pages
- Headers and Footers
- Footnotes and Endnotes
- Using Tables for Page Layouts
- Using Frames for Page Layouts
- Using Columns to define Page Layouts
- Bullet Points and Numbering
- Case Study: Write an offer Letter for Hiring
- Case Study: Preparing the Offer Letter
- Introduction to Writer Text Styles
- Page Style Setting
- Styles and Formatting
- Modifying and Applying New Styles
- Creating Custom Paragraphs
- Assigning Shortcut keys
- Defining a Hierarchy of Headings
- Using Hyperlinks
- Working with Tables through Calc
- What is Data Management and how it differs from Data Entry?
- Typical Data Management Jobs in the market
- Data Management vs Data Governance
- Define Data
- Where do we use data?
- What is data management?
- How does data management help businesses to achieve their goals?
- What are the various steps involved in data management?
- Importance of Human Factor in Data Management
- How to establish Data Management Culture
- Data Policy
- Data Ownership
- Data Stewardship
- Data Custodianship
- Data Documentation
- Data Quality
- Data Security
- Data Redundancy
- Data Compliance
- Data Auditing
- Benefits of becoming data driven
- Cultivate proper teams of team data leaders
- Involving people in each step of transition process
- Integrating data from all sources
- Adopt technology for success
- Set and monitor key performance indicators
- What is a database?
- What mediums do professionals use for storing data?
- How do professionals organize and store official data?
- What are some good practices for organizing and storing data?
- What is Metadata?
- What are the types of metadata?
- What is Big Data?
- Define Data Analytics
- What course of study can you persue to become an expert in Data Analytics?
- What is social media marketing?
- What exactly is data collection from social media?
- How would you collect data from Facebook?
- How can you collect data from Instagram?
- Data Collection Techniques
- Data Cleaning Techniques: Downloading, Saving, and Cleaning data
- Data Cleaning Techniques: Freezing and Cleaning data
- What are relational data management systems?
- What can you do with SQL Server?
- Databases, Tables and Other objects in SQL server RDBMS
- SQL vs T-SQL
- Data Analysis
- Google Data Studio - An Introduction
- Data Sources
- Data Sources
- Data Blending
- Data Blending
- Data Blending inside
- Data Blending inside
- Google Data Studio-Creating Reports and Chart Types
- Report canvas interface
- Report canvas interface
- Creating chart types- Table, Pivot table
- Creating chart types- Table, Pivot table
- Bar Chart
- Bar Chart
- Line Chart
- Line Chart
- Time series chart
- Time series chart
- Scorecard Pie Maps charts
- Scorecard Pie Maps charts
- Community visualization
- Embed URL in reports
- Creating Groups
- Page and report level
- Creating multi page report with navigation
- Using parameters to get user input
- Copying chart formatting
- Managing data segments
- Regular expressions
- Right chart for your report
- Tips to create effective reports"
- What is Canva?
- What are the features of Canva?
- How can you create a free account in Canva?
- How can you use Canva to make a checklist for data collection?
- Outcome
- Managing Data on the Cloud
- Introduction to Google Drive
- Getting Started with Google Drive
- Google Drive for Web, Mobile and PC
- Creating a New File
- Uploading and Syncing Files
- Managing your Files
- Searching files from Google drive
- Organizing the files in Google drive
- Sharing and Collaboration of Files
- Downloading and Printing Files
- Google Drive vs One Drive
- Introduction to One Drive
- Getting Started with One Drive
- One Drive for Web, Mobile and PC
- Creating a New File
- Uploading and Syncing Files
- Managing your Files
- Searching files from One Drive
- Organizing the files in One Drive
- Sharing and Collaboration of Files
- Downloading and Printing Files
- Introduction Video to Data Entry
- Understand Database Essentials for MySQL
- Get Started: MySQL for Beginners
- Install and Configure MySQL - A Step-by-Step Guide
- Grasp Relational Model Basics for Database Design
- Create and Structure Tables: Rows and Columns Mastery
- Introduction Video to Data Entry
- Execute SQL Commands: SELECT, INSERT, UPDATE, DELETE
- Filter and Sort SQL Queries for Enhanced Data Retrieval
- Simplify Queries: Mastering Aliases and Expressions in SQL
- Manage Data Types in SQL: A Comprehensive Approach
- Utilize Numeric, String, and Date Types in SQL Queries
- Craft Simple SQL Queries for Effective Data Analysis
- Introduction Video to Data Entry
- Query Across Multiple Tables: Mastering SQL Joins
- Apply INNER and OUTER JOINs: Advanced Table Relationships
- Aggregate Data: Using GROUP BY and HAVING in SQL
- Master GROUP BY and HAVING Clauses for Data Segmentation
- Introduction Video to Data Entry
- Advance Your Querying Techniques with SQL
- Utilize CTEs for Complex SQL Query Optimization
- Modify Data with SQL: INSERT, UPDATE, DELETE Mastery
- Manage Transactions in SQL for Data Integrity
- Create and Utilize SQL Views for Simplified Data Management
- Leverage Indexing for Enhanced SQL Query Performance
- Introduction Video to Data Entry
- Develop and Execute Stored Procedures in MySQL
- Implement User-defined Functions for Custom SQL Operations
- Apply Database Design Principles for Efficient Structures
- Master Normalization to Optimize Database Design
- Implementation of Primary Key and Foreign Key
- Introduction Video to Data Entry
- Enforce Data Integrity with Constraints in MySQL
- Manage Users and Permissions for MySQL Security
- Secure MySQL Database Access: Best Practices
- Plan and Execute MySQL Backup Strategies
- Achieve Point-in-Time Recovery for MySQL Databases
- Optimize SQL Queries for Maximum Performance
- Analyze SQL Query Execution Plans for Efficiency
- Introduction to Data Squirrel
- Installation and Setup
- Explaining the interface
- Understanding Data Sources and Connections
- Basic Data Manipulation Techniques
- Introduction to Data Visualization
- Advanced Data Manipulation
- Complex Data Visualization
- Data Analysis with Data Squirrel
- Automation and Scripting in Data Squirrel
- Case Study: Marketing Analytics
- Case Study: Financial Data Analysis
- Case Study: Operational Efficiency
- Best Practices in Data Squirrel
- Troubleshooting Common Issues
- Continuing Your Data Squirrel Journey
- What is TOMAT? An Overview
- Installing TOMAT and Setting Up the Environment
- The Contemporary Relevance of TOMAT
- Navigating the TOMAT Interface
- Basic Operations in TOMAT
- Advanced Data Analysis with TOMAT
- Use Cases and Case Study
- Best Practices and Tips for Efficient Use of TOMAT
- Q&A and How to Contribute to the TOMAT Community
Eligibility Criteria
• Basic knowledge of computers and keen desire to build skills in this field.
• Open to students, job seekers, and working professionals.
• Open to students, job seekers, and working professionals.
Official Certification
• Official MKCL KLiC Certificate upon successful completion of the course and evaluations.
Work-Centric Learning Approach
• Step 1: Learners are given an overview of the course and its connection to life and work
• Step 2: Learners are exposed to the specific tool(s) used in the course through the various real-life applications of the tool(s).
• Step 3: Learners are acquainted with the careers and the hierarchy of roles they can perform at workplaces after attaining increasing levels of mastery over the tool(s).
• Step 4: Learners are acquainted with the architecture of the tool or tool map so as to appreciate various parts of the tool, their functions, utility and inter-relations.
• Step 5: Learners are exposed to simple application development methodology by using the tool at the beginner’s level.
• Step 6: Learners perform the differential skills related to the use of the tool to improve the given ready-made industry-standard outputs.
• Step 7: Learners are engaged in appreciation of real-life case studies developed by the experts.
• Step 8: Learners are encouraged to proceed from appreciation to imitation of the experts.
• Step 9: After the imitation experience, they are required to improve the expert’s outputs so that they proceed from mere imitation to emulation.
• Step 10: Emulation is taken a level further from working with differential skills towards the visualization and creation of a complete output according to the requirements provided. (Long Assignments)
• Step 11: Understanding the requirements, communicating one’s own thoughts and presenting are important skills required in facing an interview for securing a work order/job. For instilling these skills, learners are presented with various subject-specific technical as well as HR-oriented questions and encouraged to answer them.
• Step 12: Finally, they develop the integral skills involving optimal methods and best practices to produce useful outputs right from scratch, publish them in their ePortfolio and thereby proceed from emulation to self-expression, from self-expression to self-confidence and from self-confidence to self-reliance and self-esteem!
• Step 2: Learners are exposed to the specific tool(s) used in the course through the various real-life applications of the tool(s).
• Step 3: Learners are acquainted with the careers and the hierarchy of roles they can perform at workplaces after attaining increasing levels of mastery over the tool(s).
• Step 4: Learners are acquainted with the architecture of the tool or tool map so as to appreciate various parts of the tool, their functions, utility and inter-relations.
• Step 5: Learners are exposed to simple application development methodology by using the tool at the beginner’s level.
• Step 6: Learners perform the differential skills related to the use of the tool to improve the given ready-made industry-standard outputs.
• Step 7: Learners are engaged in appreciation of real-life case studies developed by the experts.
• Step 8: Learners are encouraged to proceed from appreciation to imitation of the experts.
• Step 9: After the imitation experience, they are required to improve the expert’s outputs so that they proceed from mere imitation to emulation.
• Step 10: Emulation is taken a level further from working with differential skills towards the visualization and creation of a complete output according to the requirements provided. (Long Assignments)
• Step 11: Understanding the requirements, communicating one’s own thoughts and presenting are important skills required in facing an interview for securing a work order/job. For instilling these skills, learners are presented with various subject-specific technical as well as HR-oriented questions and encouraged to answer them.
• Step 12: Finally, they develop the integral skills involving optimal methods and best practices to produce useful outputs right from scratch, publish them in their ePortfolio and thereby proceed from emulation to self-expression, from self-expression to self-confidence and from self-confidence to self-reliance and self-esteem!
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