Business Analytics Excelerator : Excel Wizardry Revealed
Published 10/2023
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.94 GB | Duration: 3h 49m
Published 10/2023
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.94 GB | Duration: 3h 49m
Empowering Decision-Making Excellence: Excel for Business Analytics - Master Data Insights and Drive Strategic Success
What you'll learn
Master Excel functions for data analysis and visualization.
Build dynamic dashboards for insightful business reporting.
Utilize PivotTables for efficient data summarization and interpretation.
Apply advanced Excel techniques for forecasting and trend analysis.
Develop proficiency in statistical analysis using Excel tools.
Construct financial models and perform scenario analysis.
Automate repetitive tasks with Excel macros for enhanced efficiency.
Translate data insights into strategic business recommendations.
Requirements
Must be ready to learn
Must have access to Excel
Description
Welcome to "Excel for Business Analytics," the ultimate course designed to empower you with the indispensable skills to harness the full potential of Microsoft Excel for data-driven decision-making. In today's dynamic business environment, the ability to transform raw data into actionable insights is a key competency, and this course is your gateway to mastering that skill.The journey begins with a comprehensive exploration of essential Excel functions, equipping you with the tools to manage, clean, and structure data effectively. Dive into the art of data visualization as you learn to create compelling charts and graphs that convey complex information with clarity.Unlock the power of PivotTables for dynamic data summarization and interpretation. Navigate advanced Excel techniques for forecasting and trend analysis, essential for predicting future business trajectories. Delve into statistical analysis, using Excel's built-in functions to derive meaningful conclusions from data sets.The course goes beyond theory by guiding you in constructing financial models and performing scenario analysis, providing a practical understanding of how analytics drives strategic decision-making. Learn to automate repetitive tasks with Excel macros, enhancing your efficiency and productivity.By the end of this course, you'll be adept at translating data insights into actionable business recommendations. Whether you're a business professional, analyst, or aspiring data scientist, "Excel for Business Analytics" empowers you to navigate the analytics landscape with confidence, making you an invaluable asset in any business setting. Join us on this transformative journey where Excel becomes not just a spreadsheet tool but a strategic instrument for business success.
Overview
Section 1: Introduction
Lecture 1 Section 1_ Introduction to Business Analytics and Excel
Section 2: Section 2_ Data Preparation and Cleaning
Lecture 2 2.2 Data Cleaning Essentials
Lecture 3 2.3 Data Transformation Techniques
Section 3: Section 3_ Descriptive Statistics and Data Visualization
Lecture 4 3.4 Exploring Descriptive Statistics
Lecture 5 3.5 Effective Data Visualization
Section 4: Section 4_ Exploratory Data Analysis (EDA)
Lecture 6 4.6 Introduction to EDA
Lecture 7 4.7 Pivot Tables for Data Exploration
Section 5: Section 5_ Statistical Analysis in Excel
Lecture 8 5.8 Hypothesis Testing and Confidence Intervals
Lecture 9 5.9 Correlation and Regression Analysis
Section 6: Section 6_ Time Series Analysis
Lecture 10 6.10 Introduction to Time Series Data
Lecture 11 6.11 Forecasting Techniques in Excel
Section 7: Section 7_ Scenario Analysis and Sensitivity Modeling
Lecture 12 7.12 Creating Data Tables for Scenarios (1)
Lecture 13 7.13 Sensitivity Analysis and Goal Seeking
Section 8: Section 8_ Advanced Excel Tools for Analytics
Lecture 14 8.14 Introduction to Power Query
Lecture 15 8.15 Data Analysis ToolPak
Section 9: Section 9_ Applying Analytics to Real-world Business Scenarios
Lecture 16 9.16 Sales and Marketing Analytics
Lecture 17 9.17 Financial Analysis and Reporting
Section 10: Section 10_ Ethical Considerations and Future Trends
Lecture 18 10.18 Ethical Handling of Business Data
Lecture 19 10.19 Emerging Trends in Business Analytics
Section 11: Section 11_ Capstone Project and Conclusion
Lecture 20 11. Capstone Project and Conclusion
This course is for all levels, from beginners to experts.