Description:

Advanced Excel for Data Science is a comprehensive course that equips learners with advanced skills in Excel for effective data analysis and manipulation. With a focus on data science applications, this course covers various advanced Excel functionalities and techniques that are indispensable for data scientists and analysts. Through hands-on exercises and real-world examples, participants will gain a deeper understanding of Excel's capabilities for data science projects.

Key Highlights:

• Master advanced Excel functions and formulas
• Explore data visualization techniques in Excel
• Create dynamic dashboards and reports
• Perform advanced data cleaning and transformation
• Learn statistical analysis and predictive modeling in Excel
• Utilize Excel add-ins and automation tools for data science tasks

What you will learn:

• Advanced Excel functions and formulas:
  Gain mastery over advanced functions such as INDEX-MATCH, SUMIFS, VLOOKUP, and more. Learn to create complex formulas for data analysis and manipulation.
• Data visualization techniques in Excel:
  Discover various visualization techniques, including charts, graphs, and pivot tables, to effectively communicate data insights.
• Dynamic dashboards and reports:
  Learn how to create interactive dashboards and reports using advanced Excel features like slicers, conditional formatting, and data validation.
• Advanced data cleaning and transformation:
  Explore techniques to clean and transform messy data using Excel functions and tools, ensuring data quality and accuracy.
• Statistical analysis and predictive modeling:
  Understand statistical analysis concepts and how to apply them in Excel. Learn to perform regression analysis, hypothesis testing, and build predictive models.
• Excel add-ins and automation tools:
  Discover powerful Excel add-ins and automation tools like Power Query and VBA for efficiently handling large datasets and automating repetitive tasks.