Business Data Analyst:Excel/VBA/Macros/PowerQuery/PowerPivot
Business Data Analyst:Excel/VBA/Macros/PowerQuery/PowerPivot, available at $59.99, has an average rating of 4.15, with 43 lectures, based on 136 reviews, and has 11350 subscribers.
You will learn about Creating a data models Building relationships with connected data sources Preparing queries Enhancing queries Cleansing data Transforming data Creating Pivot Tables and Pivot Charts Creating Lookups Using DAX to link data Analyzing data with PivotTables and PivotCharts Using Power Query with PowerPivot Refreshing Data Source Creating and editingMacros Debugging Macros VBA Scripting This course is ideal for individuals who are Beginner Business Analyst or Beginner Data Analyst or Beginner Data Scientist It is particularly useful for Beginner Business Analyst or Beginner Data Analyst or Beginner Data Scientist.
Enroll now: Business Data Analyst:Excel/VBA/Macros/PowerQuery/PowerPivot
Summary
Title: Business Data Analyst:Excel/VBA/Macros/PowerQuery/PowerPivot
Price: $59.99
Average Rating: 4.15
Number of Lectures: 43
Number of Published Lectures: 43
Number of Curriculum Items: 43
Number of Published Curriculum Objects: 43
Original Price: $49.99
Quality Status: approved
Status: Live
What You Will Learn
- Creating a data models
- Building relationships with connected data sources
- Preparing queries
- Enhancing queries
- Cleansing data
- Transforming data
- Creating Pivot Tables and Pivot Charts
- Creating Lookups
- Using DAX to link data
- Analyzing data with PivotTables and PivotCharts
- Using Power Query with PowerPivot
- Refreshing Data Source
- Creating and editingMacros
- Debugging Macros
- VBA Scripting
Who Should Attend
- Beginner Business Analyst
- Beginner Data Analyst
- Beginner Data Scientist
Target Audiences
- Beginner Business Analyst
- Beginner Data Analyst
- Beginner Data Scientist
As a data analyst, you are on a journey. Think about all the data that is being generated each day and that is available in an organization, from transactional data in a traditional database, telemetry data from services that you use, to signals that you get from different areas like social media.
For example, today’s retail businesses collect and store massive amounts of data that track the items you browsed and purchased, the pages you’ve visited on their site, the aisles you purchase products from, your spending habits, and much more.
With data and information as the most strategic asset of a business, the underlying challenge that organizations have today is understanding and using their data to positively effect change within the business. Businesses continue to struggle to use their data in a meaningful and productive way, which impacts their ability to act.
The key to unlocking this data is being able to tell a story with it. In today’s highly competitive and fast-paced business world, crafting reports that tell that story is what helps business leaders take action on the data. Business decision makers depend on an accurate story to drive better business decisions. The faster a business can make precise decisions, the more competitive they will be and the better advantage they will have. Without the story, it is difficult to understand what the data is trying to tell you.
However, having data alone is not enough. You need to be able to act on the data to effect change within the business. That action could involve reallocating resources within the business to accommodate a need, or it could be identifying a failing campaign and knowing when to change course. These situations are where telling a story with your data is important.
The underlying challenge that businesses face today is understanding and using their data in such a way that impacts their business and ultimately their bottom line. You need to be able to look at the data and facilitate trusted business decisions. Then, you need the ability to look at metrics and clearly understand the meaning behind those metrics.
Data analysis exists to help overcome these challenges and pain points, ultimately assisting businesses in finding insights and uncovering hidden value in troves of data through storytelling. As you read on, you will learn how to use and apply analytical skills to go beyond a single report and help impact and influence your organization by telling stories with data and driving that data culture.
The Power Query and Power Pivot features in Microsoft Excel can make a powerful combination. Power Query enables you to discover, connect to, and import data, and Power Pivot lets you quickly model that data. You will learn how to use the DAX formula language to provide lookup abilities.
I will walk you through step-by-step how to use Power Query to select data, prepare a query, cleanse data, and prepare data for Power Pivot. Also i will walks you through the Power Pivot workflow, showing how to create a data model, import additional data if needed, build relationships between data, and create calculations and measures.
You will learn hands on real-world scenarios for working together with Power Query and Power Pivot.
Learning objectives
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Preparing queries
-
Cleansing data with Power Query
-
Enhancing queries
-
Creating a data model in Power Pivot
-
Building relationships
-
Creating Pivot Tables and Pivot Charts
-
Creating Lookups
-
Using DAX to link data
-
Creating data model
-
Creating relationship between data sources
-
Analyzing data with PivotTables and PivotCharts
-
Using Power Query with PowerPivot
-
Refreshing Data Source
-
Updating Queries
-
Creating Macros
-
Editing Macros
-
VBA Scripting
Course Curriculum
Chapter 1: Environment Setup
Lecture 1: Introduction
Lecture 2: The Data Analyst
Lecture 3: Please Read
Lecture 4: Office 365 Setup
Lecture 5: Activating Office 365 Apps
Lecture 6: Logging into Office 365
Lecture 7: What is Power Pivot
Lecture 8: Office Versions of Power Pivot
Lecture 9: How to enable Power Pivot in Excel
Chapter 2: Creating Macros
Lecture 1: What are Macros
Lecture 2: Activating Macros and VBA Tools
Lecture 3: What is VBA
Lecture 4: Exploring the VBA Interface
Lecture 5: Creating a basic macro
Lecture 6: Saving a worksheet with a macro
Lecture 7: Creating another macro : Part 1
Lecture 8: Creating another macro : Part 2
Lecture 9: Exploring Macros Code Inside VBA Editor
Lecture 10: Commenting and deleting lines of VBA Code
Lecture 11: Editing Macros in VBA Editor
Lecture 12: Sorting data with macros
Lecture 13: Filter Data Using Macros
Lecture 14: Creating buttons to run macros
Lecture 15: Protecting cells and sheets using macros
Chapter 3: Debugging Macros
Lecture 1: Debugging Macros: Part 1
Lecture 2: Debugging Macros: Part 2
Lecture 3: Debugging Macros: Part 3
Lecture 4: Manually creating a macro from scratch
Chapter 4: Data Preparation and Transformation using Power Query
Lecture 1: What is Power Query
Lecture 2: PLEASE READ
Lecture 3: Connecting to data source
Lecture 4: Preparing your query
Lecture 5: Cleansing Data
Lecture 6: Enhancing your query
Chapter 5: Data Visualization,Analysis and Consumption
Lecture 1: Creating a data model
Lecture 2: Import more data and build relationships
Lecture 3: Create lookups as new fields with DAX
Lecture 4: Analyze data using Pivot Tables
Lecture 5: Analyze data using Pivot Charts
Lecture 6: Refreshing Source Data
Lecture 7: Updating Queries
Lecture 8: Creating new reports
Lecture 9: Thank You
Instructors
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Bluelime Learning Solutions
Making Learning Simple
Rating Distribution
- 1 stars: 2 votes
- 2 stars: 5 votes
- 3 stars: 17 votes
- 4 stars: 42 votes
- 5 stars: 70 votes
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