Business Analytics Excelerator : Excel Wizardry Revealed
Business Analytics Excelerator : Excel Wizardry Revealed, available at $69.99, has an average rating of 4.9, with 20 lectures, based on 129 reviews, and has 2241 subscribers.
You will learn about 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. This course is ideal for individuals who are This course is for all levels, from beginners to experts. It is particularly useful for This course is for all levels, from beginners to experts.
Enroll now: Business Analytics Excelerator : Excel Wizardry Revealed
Summary
Title: Business Analytics Excelerator : Excel Wizardry Revealed
Price: $69.99
Average Rating: 4.9
Number of Lectures: 20
Number of Published Lectures: 20
Number of Curriculum Items: 20
Number of Published Curriculum Objects: 20
Original Price: $79.99
Quality Status: approved
Status: Live
What You Will 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.
Who Should Attend
- This course is for all levels, from beginners to experts.
Target Audiences
- This course is for all levels, from beginners to experts.
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.
Course Curriculum
Chapter 1: Introduction
Lecture 1: Section 1_ Introduction to Business Analytics and Excel
Chapter 2: Section 2_ Data Preparation and Cleaning
Lecture 1: 2.2 Data Cleaning Essentials
Lecture 2: 2.3 Data Transformation Techniques
Chapter 3: Section 3_ Descriptive Statistics and Data Visualization
Lecture 1: 3.4 Exploring Descriptive Statistics
Lecture 2: 3.5 Effective Data Visualization
Chapter 4: Section 4_ Exploratory Data Analysis (EDA)
Lecture 1: 4.6 Introduction to EDA
Lecture 2: 4.7 Pivot Tables for Data Exploration
Chapter 5: Section 5_ Statistical Analysis in Excel
Lecture 1: 5.8 Hypothesis Testing and Confidence Intervals
Lecture 2: 5.9 Correlation and Regression Analysis
Chapter 6: Section 6_ Time Series Analysis
Lecture 1: 6.10 Introduction to Time Series Data
Lecture 2: 6.11 Forecasting Techniques in Excel
Chapter 7: Section 7_ Scenario Analysis and Sensitivity Modeling
Lecture 1: 7.12 Creating Data Tables for Scenarios (1)
Lecture 2: 7.13 Sensitivity Analysis and Goal Seeking
Chapter 8: Section 8_ Advanced Excel Tools for Analytics
Lecture 1: 8.14 Introduction to Power Query
Lecture 2: 8.15 Data Analysis ToolPak
Chapter 9: Section 9_ Applying Analytics to Real-world Business Scenarios
Lecture 1: 9.16 Sales and Marketing Analytics
Lecture 2: 9.17 Financial Analysis and Reporting
Chapter 10: Section 10_ Ethical Considerations and Future Trends
Lecture 1: 10.18 Ethical Handling of Business Data
Lecture 2: 10.19 Emerging Trends in Business Analytics
Chapter 11: Section 11_ Capstone Project and Conclusion
Lecture 1: 11. Capstone Project and Conclusion
Instructors
-
Isabelle Arrieta
Instructor at Cornell Literacy -
Isabelle Arrieta Support
Instructor at Cornell Literacy
Rating Distribution
- 1 stars: 0 votes
- 2 stars: 1 votes
- 3 stars: 4 votes
- 4 stars: 7 votes
- 5 stars: 117 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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