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PowerBl Formulas Course

Interactive Video Lessons | Free E-Certificate | Tutor Support


Princeton X

Summary

Price
£12 inc VAT
Study method
Online, On Demand What's this?
Duration
1.4 hours · Self-paced
Qualification
No formal qualification
Certificates
  • Reed Courses Certificate of Completion - Free
Additional info
  • Tutor is available to students

Add to basket or enquire

Overview

Power BI Formulas Course: Gain mastery over Power BI formulas with our comprehensive course designed to elevate your analytical skills. Whether you're a novice or an experienced user, this course provides in-depth instruction on DAX and M code, empowering you to manipulate and analyze data efficiently. Learn to create dynamic calculations, sophisticated measures, and intricate queries to extract valuable insights from your datasets. With practical examples and hands-on exercises, you'll sharpen your proficiency in crafting powerful formulas tailored to your specific business needs. Unlock the full potential of Power BI and transform raw data into actionable intelligence with our expert-led formulas course.

Certificates

Reed Courses Certificate of Completion

Digital certificate - Included

Will be downloadable when all lectures have been completed.

Curriculum

4
sections
17
lectures
1h 26m
total
    • 1: power pivot power query - 1 01:17
    • 2: power pivot power query - 2 02:10
    • 3: power pivot power query - 3 06:21
    • 4: power pivot power query - 4 07:11
    • 5: power pivot power query - 5 02:21
    • 6: power pivot power query - 6 05:18
    • 7: power pivot power query - 7 04:40
    • 8: power pivot power query - 8 03:43
    • 9: power pivot power query - 9 02:53
    • 10: power pivot power query - 10 01:47
    • 11: power pivot power query - 11 03:40
    • 12: power pivot power query - 12 07:47
    • 13: power pivot power query - 13 03:57
    • 14: power pivot power query - 14 02:43
    • 15: power pivot power query - 15 13:22
    • 16: power pivot power query - 16 03:27
    • 17: power pivot power query - 17 12:56

Course media

Description

1. **Starting PowerBI**
- Introduction to PowerBI
- Understanding the interface
- Setting up data connections

2. **Viewing the Excel Data**
- Exploring data in Excel
- Understanding data structure

3. **Importing Non-formatted Data from Excel**
- Data import process
- Handling non-standard data formats

4. **Splitting & Merging Columns**
- Data transformation techniques
- Splitting and merging columns for better analysis

5. **Age Calculation in PowerQuery**
- Calculating age from birthdates
- Date functions in PowerQuery

6. **Basic Math Calculations in PowerQuery**
- Performing basic mathematical operations on data
- Applying arithmetic formulas

7. **Replacing Data in PowerQuery**
- Data cleaning and normalization
- Replacing values in the dataset

8. **Importing Formatted Tables from Excel**
- Importing structured Excel tables
- Handling formatted data import

9. **Age Part 2**
- Advanced age calculation scenarios
- Handling exceptions and edge cases

10. **More Formulas in PowerQuery**
- Advanced transformation techniques
- Custom formulas and expressions

11. **Conditional Columns in PowerQuery**
- Creating conditional logic in PowerQuery
- Filtering and adding columns based on conditions

12. **Managing Relationships in PowerBI**
- Understanding data relationships
- Establishing and managing relationships between tables

13. **Calculating Subtotals in PowerQuery**
- Subtotal calculations for aggregated data
- Grouping and summarizing data in PowerQuery

14. **Table & Matrix Visuals in PowerBI**
- Creating table and matrix visuals
- Formatting and customizing visuals

15. **Calculated Columns in PowerBI**
- Adding calculated columns to the data model
- Utilizing DAX expressions for calculated columns

16. **Measures in PowerBI**
- Introduction to measures
- Aggregating data using measures

17. **Quick Measures in PowerBI**
- Using built-in quick measures
- Simplifying complex calculations with quick measures

Each module builds upon the previous one, providing a comprehensive understanding of PowerBI formulas and functionalities for analyzing sales data effectively.

Requirements

No prior knowledge or experience required

Questions and answers

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FAQs

Interest free credit agreements provided by Zopa Bank Limited trading as DivideBuy are not regulated by the Financial Conduct Authority and do not fall under the jurisdiction of the Financial Ombudsman Service. Zopa Bank Limited trading as DivideBuy is authorised by the Prudential Regulation Authority and regulated by the Financial Conduct Authority and the Prudential Regulation Authority, and entered on the Financial Services Register (800542). Zopa Bank Limited (10627575) is incorporated in England & Wales and has its registered office at: 1st Floor, Cottons Centre, Tooley Street, London, SE1 2QG. VAT Number 281765280. DivideBuy's trading address is First Floor, Brunswick Court, Brunswick Street, Newcastle-under-Lyme, ST5 1HH. © Zopa Bank Limited 2024. All rights reserved.