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  • Begin with the essentials, covering the basics of workbooks, sheets, and cells. This foundational knowledge is crucial for understanding more complex functions later on. You’ll gain a solid grasp of Excel’s interface and basic operations, setting the stage for more advanced topics.
  • Explore Excel’s interface and learn tips and tricks to navigate it efficiently. Master basic formulas and functions, essential for performing calculations and data analysis. This section bridges the gap between beginner and intermediate Excel skills, preparing you for advanced functionalities.
  • Dive deep into Excel’s sum and average functions, learning how to calculate totals, subtotals, and averages accurately. This section enhances your ability to perform comprehensive data analysis with ease and precision.
  • Learn to use powerful lookup functions like VLOOKUP and HLOOKUP. These tools are indispensable for retrieving and analyzing data across large datasets. Understand the nuances of these functions to avoid common pitfalls and improve data accuracy.
  • Master advanced lookup techniques with INDEX and MATCH functions. Combining these functions allows for more flexible and dynamic data retrieval, essential for handling complex datasets and enhancing analytical capabilities.
  • Explore CHOOSE, OFFSET, and INDIRECT functions. These advanced tools provide greater flexibility in referencing and manipulating data, allowing for sophisticated data models and dynamic reporting solutions.
  • Efficiently manage and analyze data using reference and information functions. Learn to extract and analyze data details, and combine these functions for advanced analysis, improving data management practices.
  • Expand your logical operations with AND, OR, NOT, and TRUE functions. These logical formulas enable complex decision-making processes within Excel, enhancing your ability to perform conditional analyses and data validations.
  • Implement IF, IFERROR and IS function to handle conditional statements and errors effectively. These functions are vital for ensuring data accuracy and integrity in professional scenarios.
  • Manipulate and format text data with advanced text formulas. Combine these with statistical functions to perform comprehensive data analysis, ensuring insightful and meaningful data interpretations.
  • Utilize advanced statistical functions and manage date and time data efficiently. Learn to perform complex date calculations and use statistical tools to analyze data trends and patterns.
  • Master data sorting and filtering techniques to organize large datasets. Create advanced visualisations like gauges, thermometers, milestones, and waterfall charts to present data compellingly and intuitively.
  • Create Gantt charts and analyze data trends with advanced scatter plots and target lines. These skills are essential for project management and in-depth data analysis.
  • Customize Excel’s ribbon and leverage macros and developer tools to automate tasks and enhance functionality. These customizations streamline workflows and improve efficiency.
  • Gain expertise in pivot tables, from basic creation to advanced customization. Learn the advantages and potential drawbacks, and tailor your pivot tables for in-depth data analysis.
  • Create informative and visually appealing pivot table plots. Customize styles to enhance clarity and presentation, making data analysis more intuitive and accessible.

Unlock the full potential of Excel with our comprehensive "Advanced Excel Techniques for Professionals" course, meticulously designed for individuals seeking to elevate their data management, analysis, and visualization skills. Excel, a cornerstone tool in the professional world, offers powerful capabilities that extend far beyond basic spreadsheet functionalities. This course aims to transform you from a proficient user to an advanced Excel expert, capable of leveraging the software's full suite of tools to optimize workflow, enhance productivity, and deliver data-driven insights.

 
Course Overview:
 
In this course, we will delve into the advanced features and functions of Excel that are essential for professionals across various industries, including finance, marketing, project management, and data analysis. Each section is crafted to build upon the previous one, ensuring a structured and comprehensive learning experience.
 
What You Will Learn:
 
Section 1: Introduction to Advanced Excel
Begin with the essentials, covering the basics of workbooks, sheets, and cells. This foundational knowledge is crucial for understanding more complex functions later on. You’ll gain a solid grasp of Excel’s interface and basic operations, setting the stage for more advanced topics.
 
Section 2: Navigating Excel's Interface and Basic Operations
Explore Excel’s interface and learn tips and tricks to navigate it efficiently. Master basic formulas and functions, essential for performing calculations and data analysis. This section bridges the gap between beginner and intermediate Excel skills, preparing you for advanced functionalities.
 
Section 3: Mastering Sum and Average Functions
Dive deep into Excel’s sum and average functions, learning how to calculate totals, subtotals, and averages accurately. This section enhances your ability to perform comprehensive data analysis with ease and precision.
 
Section 4: Understanding and Using Lookup Functions
Learn to use powerful lookup functions like VLOOKUP and HLOOKUP. These tools are indispensable for retrieving and analyzing data across large datasets. Understand the nuances of these functions to avoid common pitfalls and improve data accuracy.
 
Section 5: Advanced Lookup and Reference Techniques
Master advanced lookup techniques with INDEX and MATCH functions. Combining these functions allows for more flexible and dynamic data retrieval, essential for handling complex datasets and enhancing analytical capabilities.
 
Section 6: Comprehensive Guide to Advanced Lookup Functions
Explore CHOOSE, OFFSET, and INDIRECT functions. These advanced tools provide greater flexibility in referencing and manipulating data, allowing for sophisticated data models and dynamic reporting solutions.
 
Section 7: Advanced Reference and Information Functions
Efficiently manage and analyze data using reference and information functions. Learn to extract and analyze data details, and combine these functions for advanced analysis, improving data management practices.
 
Section 8: Logical Formulas for Complex Analysis
Expand your logical operations with AND, OR, NOT, and TRUE functions. These logical formulas enable complex decision-making processes within Excel, enhancing your ability to perform conditional analyses and data validations.
 
Section 9: Advanced Logical Formulas for Professional Use
Implement IF, IFERROR and IS function to handle conditional statements and errors effectively. These functions are vital for ensuring data accuracy and integrity in professional scenarios.
 
Section 10: Mastering Text and Statistical Formulas
Manipulate and format text data with advanced text formulas. Combine these with statistical functions to perform comprehensive data analysis, ensuring insightful and meaningful data interpretations.
 
Section 11: Advanced Statistical and Date/Time Formulas
Utilize advanced statistical functions and manage date and time data efficiently. Learn to perform complex date calculations and use statistical tools to analyze data trends and patterns.
 
Section 12: Data Sorting, Filtering, and Visualization
Master data sorting and filtering techniques to organize large datasets. Create advanced visualisations like gauges, thermometers, milestones, and waterfall charts to present data compellingly and intuitively.
 
Section 13: Advanced Charting Techniques for Professional Use
Create Gantt charts and analyze data trends with advanced scatter plots and target lines. These skills are essential for project management and in-depth data analysis.
 
Section 14: Customizing Excel for Enhanced Functionality
Customize Excel’s ribbon and leverage macros and developer tools to automate tasks and enhance functionality. These customizations streamline workflows and improve efficiency.
 
Section 15: Mastering Pivot Tables for Comprehensive Analysis
Gain expertise in pivot tables, from basic creation to advanced customization. Learn the advantages and potential drawbacks, and tailor your pivot tables for in-depth data analysis.
 
Section 16: Advanced Pivot Table Visualizations
Create informative and visually appealing pivot table plots. Customize styles to enhance clarity and presentation, making data analysis more intuitive and accessible.
 
By the end of this course, you will have mastered advanced Excel techniques, empowering you to handle complex data analysis tasks, streamline workflows, and make data-driven decisions confidently. Whether you're a data analyst, financial professional, marketer, or project manager, this course will provide you with the skills needed to excel in your career. Join us and transform your Excel proficiency to an advanced level, unlocking new opportunities and efficiencies in your professional journey.

  • Basic Understanding of Excel: Familiarity with Basic Excel functions and the interface will help you grasp the more complex concepts more effectively.
  • Access to Microsoft Excel: To fully benefit from the practical exercises and follow along with the tutorials, you should have access to Microsoft Excel.
  • Willingness to Learn and Experiment
  • Excel Beginners Eager to Advance
  • Data Analysts and Professionals
  • Business Managers and Entrepreneurs
  • Students in Business and Finance Fields
  • IT and Software Professionals
  • Freelancers and Consultants
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  • Section 1 : Introduction to Advanced Excel 3 Lectures 00:26:24

    • Lecture 1 :
    • Understanding Excel Basics: Workbooks, Sheets, and Cells Preview
    • Lecture 2 :
    • Exploring Excel's Interface and Basic Functions
    • Lecture 3 :
    • Foundational Aspects of Cells: Building Blocks of Excel
  • Section 2 : Navigating Excel's Interface and Basic Operations 4 Lectures

    • Lecture 1 :
    • Navigating Excel's Interface: Tips and Tricks for Efficiency
    • Lecture 2 :
    • Basic Formulas and Functions: Essential Tools for Calculations
    • Lecture 3 :
    • Mastering Excel Formulas: From Basics to Advanced
    • Lecture 4 :
    • Resources
  • Section 3 : Mastering Sum and Average Functions 3 Lectures

    • Lecture 1 :
    • Using Sum Functions: Calculating Totals and Subtotals
    • Lecture 2 :
    • Leveraging Subtotal Functions for Enhanced Data Analysis
    • Lecture 3 :
    • Average Functions in Excel: Calculating and Interpreting Averages
  • Section 4 : Understanding and Using Lookup Functions 4 Lectures

    • Lecture 1 :
    • Efficient Data Retrieval with Lookup Formulas
    • Lecture 2 :
    • Comprehensive Guide to VLOOKUP Function
    • Lecture 3 :
    • Simplifying Data Lookup with HLOOKUP Function
    • Lecture 4 :
    • Resources
  • Section 5 : Advanced Lookup and Reference Techniques 3 Lectures

    • Lecture 1 :
    • Navigating Complex Data Sets with INDEX Function
    • Lecture 2 :
    • MATCH Function: Finding and Aligning Data
    • Lecture 3 :
    • Powerful Data Retrieval: Combining INDEX and MATCH
  • Section 6 : Comprehensive Guide to Advanced Lookup Functions 4 Lectures

    • Lecture 1 :
    • Dynamically Selecting Data with CHOOSE Function
    • Lecture 2 :
    • Referencing Dynamic Data Ranges with OFFSET Function
    • Lecture 3 :
    • Creating Flexible References Using INDIRECT Function
    • Lecture 4 :
    • Resources
  • Section 7 : Advanced Reference and Information Functions 4 Lectures

    • Lecture 1 :
    • Managing Data Efficiently with Reference Functions
    • Lecture 2 :
    • Analyzing Data Details with Information Functions
    • Lecture 3 :
    • Advanced Analysis: Combining Reference and Information Functions
    • Lecture 4 :
    • Resources
  • Section 8 : Logical Formulas for Complex Analysis 3 Lectures

    • Lecture 1 :
    • Combining Conditions with AND Function
    • Lecture 2 :
    • Expanding Logical Operations with OR Function
    • Lecture 3 :
    • Advanced Logical Techniques: Using NOT and TRUE Functions
  • Section 9 : Advanced Logical Formulas for Professional Use 3 Lectures

    • Lecture 1 :
    • Conditional Statements with FALSE and IF Functions
    • Lecture 2 :
    • Ensuring Data Accuracy: Handling Errors with IFERROR and IS Functions
    • Lecture 3 :
    • Integrating Text and Statistical Formulas for In-Depth Analysis
  • Section 10 : Mastering Text and Statistical Formulas 3 Lectures

    • Lecture 1 :
    • Statistical Analysis with Excel's Functions
    • Lecture 2 :
    • Managing Dates and Times: Basic Date and Time Formulas
    • Lecture 3 :
    • Advanced Date Calculations: Complex Date and Time Formulas
  • Section 11 : Comprehensive Date/Time Formulas for Data Analysis 4 Lectures

    • Lecture 1 :
    • Core Date and Time Functions for Effective Management
    • Lecture 2 :
    • Advanced Business Day Calculations with WEEKDAY and NETWORKDAY Functions
    • Lecture 3 :
    • WORKDAY and NETWORKDAY_INTL Functions: Managing Business Days
    • Lecture 4 :
    • Resources
  • Section 12 : Data Sorting, Filtering, and Visualization 4 Lectures

    • Lecture 1 :
    • Advanced Techniques for Sorting and Filtering Large Data Sets
    • Lecture 2 :
    • Visualizing Performance with Gauge Charts
    • Lecture 3 :
    • Using Thermometer, Milestone, and Waterfall Charts for Advanced Visualization
    • Lecture 4 :
    • Resources
  • Section 13 : Advanced Charting Techniques for Professional Use 2 Lectures

    • Lecture 1 :
    • Project Management and Data Trends with Gantt Charts
    • Lecture 2 :
    • In-Depth Data Analysis with Advanced Scatter Plots and Target Lines
  • Section 14 : Customizing Excel for Enhanced Functionality 4 Lectures

    • Lecture 1 :
    • Tailoring Excel with Custom Ribbon Features
    • Lecture 2 :
    • Automating Tasks with Macros and Developer Tools
    • Lecture 3 :
    • Leveraging Developer Tab Features for Advanced Excel Operations
    • Lecture 4 :
    • Resources
  • Section 15 : Mastering Pivot Tables for Comprehensive Analysis 4 Lectures

    • Lecture 1 :
    • Advanced Techniques for Pivot Tables: Going Beyond Basics
    • Lecture 2 :
    • A Balanced View on the Advantages and Disadvantages of Pivot Tables
    • Lecture 3 :
    • Customizing and Generating Pivot Tables for Tailored Analysis
    • Lecture 4 :
    • Resources
  • Section 16 : Advanced Pivot Table Visualizations 3 Lectures 00:07:06

    • Lecture 1 :
    • Creating Informative Visualizations with Pivot Table Plots
    • Lecture 2 :
    • Advanced Pivot Table Plots: Pie Charts and Statistical Analysis
    • Lecture 3 :
    • Enhancing Visual Appeal and Clarity with Customized Pivot Table Styles
  • Section 17 : Additional Advanced Excel Techniques 3 Lectures 00:08:41

    • Lecture 1 :
    • Dynamic Charting Examples and Custom Ribbon Features
    • Lecture 2 :
    • Mastering Macros and Developer Tools for Advanced Operations
    • Lecture 3 :
    • Resources
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Hello, I'm Akhil, a Senior Data Scientist at PwC specializing in the Advisory Consulting practice with a focus on Data and Analytics.
 
My career journey has provided me with the opportunity to delve into various aspects of data analysis and modelling, particularly within the BFSI sector, where I've managed the full lifecycle of development and execution.
 
I possess a diverse skill set that includes data wrangling, feature engineering, algorithm development, and model implementation. My expertise lies in leveraging advanced data mining techniques, such as statistical analysis, hypothesis testing, regression analysis, and both unsupervised and supervised machine learning, to uncover valuable insights and drive data-informed decisions. I'm especially passionate about risk identification through decision models, and I've honed my skills in machine learning algorithms, data/text mining, and data visualization to tackle these challenges effectively.
 
Currently, I am deeply involved in an exciting Amazon cloud project, focusing on the end-to-end development of ETL processes. I write ETL code using PySpark/Spark SQL to extract data from S3 buckets, perform necessary transformations, and execute scripts via EMR services. The processed data is then loaded into Postgres SQL (RDS/Redshift) in full, incremental, and live modes. To streamline operations, I’ve automated this process by setting up jobs in Step Functions, which trigger EMR instances in a specified sequence and provide execution status notifications. These Step Functions are scheduled through EventBridge rules.
 
Moreover, I've extensively utilized AWS Glue to replicate source data from on-premises systems to raw-layer S3 buckets using AWS DMS services. One of my key strengths is understanding the intricacies of data and applying precise transformations to convert data from multiple tables into key-value pairs. I’ve also optimized stored procedures in Postgres SQL to efficiently perform second-level transformations, joining multiple tables and loading the data into final tables.
 
I am passionate about harnessing the power of data to generate actionable insights and improve business outcomes. If you share this passion or are interested in collaborating on data-driven projects, I would love to connect. Let’s explore the endless possibilities that data analytics can offer!
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