Advanced Excel Techniques for Professionals
Advanced Excel Techniques for Professionals
Business,Business Analytics and Intelligence,Excel
Lectures -49
Duration -3.5 hours
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Course Description
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.
Goals
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.

Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction to Advanced Excel
3 Lectures
-
Basics of Excel: Workbooks, Sheets, and Cells 08:40 08:40
-
Navigating Excel's Interface and Basic Features 08:12 08:12
-
Core Concepts of Cells: The Building Blocks of Excel 09:32 09:32
Navigating Excel's Interface and Basic Operations
3 Lectures

Mastering Sum and Average Functions
3 Lectures

Understanding and Using Lookup Functions
3 Lectures

Advanced Lookup and Reference Techniques
3 Lectures

Comprehensive Guide to Advanced Lookup Functions
3 Lectures

Advanced Reference and Information Functions
3 Lectures

Logical Formulas for Complex Analysis
3 Lectures

Advanced Logical Formulas for Professional Use
3 Lectures

Mastering Text and Statistical Formulas
3 Lectures

Comprehensive Date/Time Formulas for Data Analysis
3 Lectures

Data Sorting, Filtering, and Visualization
3 Lectures

Advanced Charting Techniques for Professional Use
2 Lectures

Customizing Excel for Enhanced Functionality
3 Lectures

Mastering Pivot Tables for Comprehensive Analysis
3 Lectures

Advanced Pivot Table Visualizations
3 Lectures

Additional Advanced Excel Techniques
2 Lectures

Instructor Details

AKHIL VYDYULA
Data Scientist | Data & Analytics Specialist | EntrepreneurHello, 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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