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  • Develop real-life spreadsheet challenges with ease
  • Master Pivot tables, eye-catching charts and sparklines to create impressive Google spreadsheets
  • Create interactive & visually effective progress charts and dashboards in Sheets
  • Learn hidden Google Sheets features that even the Experts don't know
  • Import & append data from other Google Spreadsheets across the world
  • Learn advanced functions like QUERY, IMPORTHTML, IMPORTXML and more
  • Secrets to properly use tricky features like Conditional formatting
  • Write BigQuery and Query langue for Big Data sets to get the dynamic results as quickly
  • Apply VLOOKUP, and XLOOPUP formulas to get quick lookup results from your business needs
  • Learn how to collaborate with teams and work in globally protected scenarios

Unlock the full potential of Google Sheets with our comprehensive Google Sheets Masterclass. Whether you're a beginner or an intermediate user, this course is designed to enhance your spreadsheet skills and empower you to tackle complex data analysis, create dynamic reports, and streamline your workflow like a pro.

In this hands-on course, you'll embark on a transformative learning journey, guided by expert instructors who will demystify the powerful features and functionalities of Google Sheets. You'll gain a deep understanding of how to harness the full range of tools available, enabling you to leverage the platform's capabilities to their fullest.

Key Learning Objectives:

Master the Fundamentals: Build a solid foundation by learning essential spreadsheet concepts, formatting techniques, and basic formulas and functions in Google Sheets.

Advanced Formulas and Functions: Take your skills to the next level by exploring complex formulas, logical functions, statistical analysis, and data manipulation techniques.

Data Analysis and Visualization: Discover how to transform raw data into meaningful insights using advanced data analysis tools, pivot tables, charts, and custom data visualization techniques.

Collaboration and Automation: Learn how to collaborate effectively with others using real-time collaboration features, track changes, and automate repetitive tasks with scripts.

Data Import and Integration: Explore methods for importing data from external sources, such as databases and APIs, and learn how to integrate Google Sheets with other Google Workspace applications.

Data Protection and Security: Understand best practices for securing your data, setting permissions, and utilizing data validation to maintain data integrity.

Workflow Optimization: Discover time-saving techniques, shortcuts, and add-ons that will streamline your workflow, boost productivity, and simplify complex tasks

Course Format:

The Google Sheets Masterclass is delivered through a combination of interactive video lessons, practical exercises, and hands-on projects. You'll have access to downloadable resources, cheat sheets, and supplementary materials to reinforce your learning. Our online learning platform allows you to learn at your own pace, and you'll have the opportunity to interact with instructors through discussion forums.

  • No prior spreadsheet knowledge is needed.
  • A free Google account (you can also set one up during the course)
  • Anyone interested in mastering Google Sheets for personal or professional use
  • Professionals seeking to enhance their data analysis and spreadsheet management skills
  • Small business owners and entrepreneurs who want to leverage Google Sheets for efficient data tracking, reporting, and business analysis
  • Students and academics looking to improve their research data management and analysis capabilities
  • By the end of this Google Sheets Masterclass, you'll have the confidence and expertise to unlock the true potential of Google Sheets, enabling you to efficiently organize, analyze, and visualize data, collaborate seamlessly, and make data-driven decisions with ease.
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  • Section 1 : Getting started 4 Lectures 00:07:30

    • Lecture 1 :
    • Lecture 2 :
    • Getting started on Windows, macOS, Android, and IOS
    • Lecture 3 :
    • How to ask great questions
    • Lecture 4 :
    • FAQ’s
  • Section 2 : Google Sheets Basic 7 Lectures 00:42:01

    • Lecture 1 :
    • Sheets Basics to start
    • Lecture 2 :
    • Cells, Rows, and Columns
    • Lecture 3 :
    • Productivity Tips and File Sharing
    • Lecture 4 :
    • Menu and Toolbar options
    • Lecture 5 :
    • Save and print in Sheets
    • Lecture 6 :
    • Language and Spreadsheet settings
    • Lecture 7 :
    • Version recovery and edit History
  • Section 3 : Data Types and Formulas 7 Lectures 00:07:07

    • Lecture 1 :
    • Data Types
    • Lecture 2 :
    • Data Entry
    • Lecture 3 :
    • Autofill in sheets
    • Lecture 4 :
    • Data handling basics (copy, cut and paste)
    • Lecture 5 :
    • Common functionalities in sheets
    • Lecture 6 :
    • Regular Functions in Google Sheets (sum,average,counta and countunique)
    • Lecture 7 :
    • Relative Vs. Absolute referencing
  • Section 4 : Data Formatting and Useful tools 8 Lectures 00:34:52

    • Lecture 1 :
    • Useful tools and Report design
    • Lecture 2 :
    • Split Text into columns
    • Lecture 3 :
    • Conditional formatting
    • Lecture 4 :
    • Create Drop-down lists from data
    • Lecture 5 :
    • Data Validations
    • Lecture 6 :
    • Importing TXT data files into Google Sheets
    • Lecture 7 :
    • Importing .CSV data files into Google Sheets
    • Lecture 8 :
    • Getting Data from Other Google Sheets
  • Section 5 : Reports: Filtering, Sorting, and Cleaning Data 6 Lectures 00:11:55

    • Lecture 1 :
    • Sort Features
    • Lecture 2 :
    • Filter and Filter view in Sheets
    • Lecture 3 :
    • Filtered Results-(SubTotal)
    • Lecture 4 :
    • Remove Duplicates
    • Lecture 5 :
    • Trim White Spaces
    • Lecture 6 :
    • Find and Replace Data
  • Section 6 : Google Sheets: Essential Functions to Analyze Data 7 Lectures 00:46:45

    • Lecture 1 :
    • Unique and Sort Functions
    • Lecture 2 :
    • SUM(IFS) applying on (COUNT,MIN, MAX)
    • Lecture 3 :
    • Logical Functions
    • Lecture 4 :
    • IF Function (IF, Then)
    • Lecture 5 :
    • Nested IF and IFS Functions
    • Lecture 6 :
    • Named Ranges
    • Lecture 7 :
    • Rounding Values
  • Section 7 : Google Sheets: Lookup Functions 3 Lectures 00:16:16

    • Lecture 1 :
    • VLOOKUP Function
    • Lecture 2 :
    • HLOOKUP Function
    • Lecture 3 :
    • HLOOKUP + Match formula
  • Section 8 : XLOOKUP and #NA 2 Lectures 00:10:10

    • Lecture 1 :
    • XLOOKUP Function
    • Lecture 2 :
    • Handling #NA and Approximates match in XLOOKUP
  • Section 9 : Text, Date, and Time Functions 5 Lectures 00:25:32

    • Lecture 1 :
    • Basic Text Functions
    • Lecture 2 :
    • Split and Join Data from multiple columns
    • Lecture 3 :
    • Search and SUBSTITUTE
    • Lecture 4 :
    • Date Time Functions
    • Lecture 5 :
    • Time Calculations(worked hours)
  • Section 10 : Collaborate, Publish, and Protect 8 Lectures 00:36:31

    • Lecture 1 :
    • Collaboration and Sharing files
    • Lecture 2 :
    • Publishing Sheet or chart to Link in a web page
    • Lecture 3 :
    • Publishing Sheet or chart to Embedding in a web page
    • Lecture 4 :
    • Email Google Sheets or chart
    • Lecture 5 :
    • Prepare for Print or PDF with page breaks
    • Lecture 6 :
    • Protect a sheet or range
    • Lecture 7 :
    • Use Google Forms to collect real-time data
    • Lecture 8 :
    • Exercise and Solution for PDF layout
  • Section 11 : Google Sheets: Charts 10 Lectures 00:39:39

    • Lecture 1 :
    • Chart Basics – Column and Line Charts
    • Lecture 2 :
    • Aggregating Data in Charts – Bar and Pie Charts
    • Lecture 3 :
    • Combo charts
    • Lecture 4 :
    • Gauge chart
    • Lecture 5 :
    • Table chart
    • Lecture 6 :
    • Scorecard chart for KPI Dashboards
    • Lecture 7 :
    • Adding Slicers to charts
    • Lecture 8 :
    • Sparklines chart
    • Lecture 9 :
    • Sparklines for Stock and Currency
    • Lecture 10 :
    • Geo charts
  • Section 12 : Pivot Tables in Google Sheets 5 Lectures 00:18:01

    • Lecture 1 :
    • Explore Pivot Features in Google Sheets
    • Lecture 2 :
    • Pivot Table Basics in Google Sheets
    • Lecture 3 :
    • Use Filters and Slicers for Dynamic Pivot Tables
    • Lecture 4 :
    • Grouping items and dates(Month,Year)
    • Lecture 5 :
    • Custom Formulas in Pivot Tables
  • Section 13 : Advanced Google Sheets Functions and Formulas 6 Lectures 00:19:34

    • Lecture 1 :
    • INDEX MATCH for complex lookups
    • Lecture 2 :
    • ARRAYFORMULA function
    • Lecture 3 :
    • Create your own Arrays and Make totals
    • Lecture 4 :
    • INDIRECT Function Lookup
    • Lecture 5 :
    • Create Random Data and Text
    • Lecture 6 :
    • SEQUENCE Function
  • Section 14 : The QUERY Functions 9 Lectures 00:42:26

    • Lecture 1 :
    • QUERY Function Basics
    • Lecture 2 :
    • QUERY Function using Select and Where
    • Lecture 3 :
    • QUERY Function for Aggregation
    • Lecture 4 :
    • Group By Multiple Columns
    • Lecture 5 :
    • Transform Distinct Values using Pivot(Query Function)
    • Lecture 6 :
    • Aggregates and Sorting using Order by clause
    • Lecture 7 :
    • QUERY Function for Dynamic Totals
    • Lecture 8 :
    • QUERY Function to Combine Data from Multiple Sheets
    • Lecture 9 :
    • QUERY Function with IMPORTRANGE to Combine External Sheets
  • Section 15 : Google Sheets: Import Data from Web 2 Lectures 00:06:37

    • Lecture 1 :
    • Import Tables from the Web(IMPORTHTML)
    • Lecture 2 :
    • Import any structured data from Web(IMPORTXML)
  • Section 16 : Google Sheets: QR Code and Images 2 Lectures 00:09:25

    • Lecture 1 :
    • Insert Image on Google Sheets
    • Lecture 2 :
    • Generate QR Code on Required data
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I am M. Sudha Sekhar, I am a Teacher and a Web Developer, and I am also passionate to teach every single real-time step that leads students as well as professionals to become successful with their carrier. What we know about web development and technologies: * Front-End web development: HTML, CSS, Bootstrap, JavaScript, Ajax and more... * Code-End web development: Asp.Net, C#, Python and PHP and more... * Back-End development: MS SQL, MySQL, PostgreSQL, MongoDB, MariaDB and more... * Operating Systems / Servers: RHEL - LINUX, Ubuntu, CentOS, Windows and more... Start solving your challenge now | Enroll today and learn real-time practical courses. I am passionate about: * Teaching students the correct way. * Making things simple and easy to understand. * Offering the best audio and video qualities to my courses. * Real-time Examples who will understand real-time skills easily. * Most of the Lectures will be practical way demonstrations using real-world solutions
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