Yleiskatsaus

Tavoitteet

At course completion After completing this course, students will be able to:

• Explore and extend a classic Excel dashboard.
• Explore and extend an Excel data model.
• Pre-format and import a .CSV file.
• Import data from a SQL Server database
• Import data from a report.
• Create measures using advanced DAX functions.
• Create data visualizations in Excel.
• Create a Power BI dashboard with Excel.

At Insoft, we know your time is valuable. That’s why we give you the opportunity to gain your Analyzing Data with Excel training and certification in just 2 days. We provide the best conditions for you to learn. With us by your side, encouraging and guiding you along the way, you can enjoy 2 intense, focused days of quality learning in a distraction free environment. Your expert instructor will be working with Insoft’s unique accelerated learning methods, which include our exclusive lecture/lab/review methodology with real life cases putting you in the best possible position to learn and retain knowledge. Sitting your Analyzing Data with Excel course with Insoft means:

• You’ll get more hours of training per day, allowing you to get trained and certified faster and more cost-effectively than with any other training provider.
• You will be trained by one of the most expert instructors in the world.
• You can focus purely on learning in our distraction free environment.
• Dedicated onsite support and access to your classroom at all hours.
• The price you pay is all-inclusive and covers all course materials, exam, accommodation, meals and transportation service.
• The Certification Guarantee allows you to train again for free, if you do not pass first time. You only pay for any exams and labs, and accommodation.

Sisältö

Course 20779A: Analyzing Data with Excel

Module 1: Data Analysis in Excel

This module looks at the classic Excel dashboard and at ways to extend it.

Lessons

• Classic Data Analysis with Excel
• Excel Pivot Tables
• Limitations of Classic Data Analysis

Lab : Building a Classic Excel Dashboard

• Filtering and Formatting Data
• Building a Pivot Table
• Building a Pivot Chart
• Building a Dashboard

After completing this module, students will be able to:

• Describe classic data analysis with Excel
• Describe Excel pivot tables
• Describe the limitations of classic data analysis with Excel

Module 2: The Excel Data Model

This module looks at the classic Excel data model and at ways to extend it.

Lessons

• Using an Excel Data Model
• DAX

Lab : Explore an Excel Data Model

• Create Calculated Columns
• Format Data Model Data
• Create Measures
• Analyze the Data

After completing this module, students will be able to:

• Describe an Excel data model
• View data within an Excel data table
• Describe DAX

Module 3: Importing Data from Files

This module looks at pre-formatting and importing CSV files.

Lessons

• Importing Data into Excel
• Shaping and Transforming Data
• Loading Data

Lab : Importing Data from a CSV File

• Import and Transform Data from a CSV File
• Add Data from a Folder

After completing this module, students will be able to:

• Import data into excel.
• Shape and transform data.
• Load data.

Module 4: Importing Data from Databases

This module looks at how to import data into Excel from a SQL Server database.

Lessons

• Available Data Sources
• Previewing, Shaping, and Transforming Data
• Table Relationships and Hierarchies
• Loading Data

Lab : Import Data from Multiple Sources

• Import Data from SQL Server
• Import Data from a CSV File
• Create a Data Table

After completing this module, students will be able to:

• Identify available data sources.
• Preview, shape, and transform data.
• Explain table relationships and hierarchies.
• Load data from various sources.

Module 5: Importing Data from Excel Reports

This module describes how to import data from a report.

Lessons

• Importing Data from Excel Reports
• Transforming Excel report Data

Lab : Importing Data from a Report

• Import Data from Excel
• Transform the Excel Data
• Load the Data into an Excel Data Model

After completing this module, students will be able to:

• Import data from Excel reports.
• Transform Excel report data.

Module 6: Creating and Formatting Measures

This module describes how to create and format measures.

Lessons

• DAX
• Measures
• Advanced DAX Functions

Lab : Creating Measures using Advanced DAX Functions

• Last year comparison
• Year to date
• Market Share

After completing this module, students will be able to:

• Explain what DAX is and when to use it.
• Describe a measure.
• Use some of the advanced functions within DAX.

Module 7: Visualizing Data in Excel

This module describes how to visualize data in Excel.

Lessons

• Pivot Charts
• Cube Functions
• Charts for Cube Functions

Lab : Data Visualization in Excel

• Create a Tabular Report
• Create a Pivot Chart
• Add Slicers to Charts

After completing this module, students will be able to:

• Create and refine a pivot chart.
• Describe cube functions and when to use them.
• Describe a number of charts for use with cube functions.

Module 8: Using Excel with Power BI

This module describes how to use Excel with Power BI.

Lessons

• Power BI
• Uploading Excel Data to Power BI
• Power BI Mobile App

Lab : Creating a Power BI Dashboard with Excel

• Uploading Excel Data
• Creating a Power BI Dashboard

After completing this module, students will be able to:

• Describe Power Bi and the various versions available.
• Upload Excel data to Power BI.
• Describe the Power BI App

Esivaatimukset

Before attending this course, students must have:

• Basic knowledge of the Microsoft Windows operating system and its core functionality.
• Working knowledge of relational databases.
• Extensive knowledge of Excel spreadsheets including formulas, charts, filtering, sorting, and sub-totals.
• Basic knowledge of data analytics.

Do you have what it takes? We´ll help you decide – Call us to discuss your technical background, experience and qualifications to determine how we can help you succeed in this Insoft programme. Just call us and speak to one of our enrolment consultants.