Business Data Analyst:Excel/VBA/Macros/PowerQuery/PowerPivot

Unlock Business Insights with Data Analysis: A Practical Guide

In today's data-driven world, organizations are generating massive amounts of information – from transactional databases and telemetry to social media signals. Retail businesses, for example, collect extensive data on browsing behavior, purchases, website activity, and spending habits. However, the real challenge lies in transforming this data into actionable intelligence. Businesses struggle to effectively understand and utilize their data to drive meaningful change and make timely decisions.

The key to success is data storytelling. Crafting compelling reports that communicate clear narratives empowers business leaders to take decisive action. Accurate data stories are essential for informed decision-making, providing a competitive advantage in today's fast-paced market. Without a clear story, the true potential of your data remains hidden.

But data alone isn't enough. You need to be able to act on it. This means identifying opportunities for resource reallocation, spotting failing campaigns, and proactively adjusting strategies. Data analysis helps businesses overcome these challenges by uncovering hidden value and facilitating trusted business decisions. Understanding metrics and their underlying meaning is crucial for driving positive outcomes and improving the bottom line.

This course will equip you with the skills to leverage data analysis to go beyond simple reports and influence your organization by telling data stories and fostering a data-driven culture.

Mastering Power Query and Power Pivot

This course focuses on the powerful combination of Microsoft Excel's Power Query and Power Pivot.

• Power Query: Discover, connect to, and import data from various sources.
• Power Pivot: Quickly model and analyze large datasets.
• DAX Formula Language: Implement lookup abilities and create powerful calculations.

What You Will Learn:

• Data Preparation:
  • Selecting Data: Learn techniques for efficiently selecting the right data.
  • Query Creation: Master the process of building effective queries.
  • Data Cleansing with Power Query: Cleanse and transform data for accuracy.
  • Enhancing Queries: Improve query performance and functionality.
• Data Modeling with Power Pivot:
  • Building a Data Model: Create a robust data model for analysis.
  • Importing Additional Data: Integrate data from multiple sources.
  • Building Relationships: Establish relationships between data tables.
  • Creating Calculations and Measures: Develop custom calculations and measures using DAX.
• Data Visualization & Analysis:
  • Creating Pivot Tables and Pivot Charts: Summarize and visualize data.
  • Using DAX to Link Data: Create dynamic relationships between data.
  • Analyzing Data with PivotTables and PivotCharts: Gain deeper insights from your data.
• Power Query Advanced Techniques:
  • Refreshing Data Sources: Keep your data up-to-date.
  • Updating Queries: Modify and refine your queries.
  • Creating Macros: Automate repetitive tasks.
  • Editing Macros: Customize existing macros.
  • VBA Scripting: Extend Power Query functionality with VBA.