Unlocking Dax Secrets: Elevate Your Dashboard Design

Unlock the Potential of Data Analysis Expressions (DAX) in Power BI - Elevate Your Skills, Craft Engaging Dashboards.

What you'll learn

DAX Fundamentals: Students will be introduced to the fundamental concepts of DAX, including syntax, data types, and operators.

Real-world DAX Applications: They will apply their DAX skills to real-world data analysis scenarios, such as sales forecasting, inventory management, and custom

Conditional Logic with DAX: Students will understand how to apply conditional logic in DAX to create dynamic calculations based on specific conditions.

Time Intelligence Functions: They will explore DAX time intelligence functions to analyze data over time, including functions for year-to-date, quarter-to-date,

Measures and Aggregations: Students will apply DAX to create key performance indicators (KPIs) such as total sales, average sales, and year-over-year growth.

Students will gain practical experience in using DAX to create business-critical metrics.

They will develop skills in data visualization and storytelling, which are essential in the field of data analytics.

This project can serve as a valuable addition to their portfolio, showcasing their abilities to potential employers.

Requirements

Basic Data Analysis Knowledge: While not mandatory, it's helpful if students have a foundational understanding of data analysis concepts. This can include knowledge of data types, data manipulation, and basic statistics.

Familiarity with Power BI: Some prior exposure to Power BI, even at a basic level, can be advantageous. Students should know how to navigate the Power BI interface and perform basic tasks like data import and visualization.

Microsoft Excel Proficiency: Since you mentioned a strong interest in Microsoft Excel, it would be beneficial if students have some experience with Excel, as there are similarities between Excel functions and DAX.

Access to Power BI: Students should have access to Power BI Desktop, which they can download for free from Microsoft's website. Having the software installed on their computer is essential for hands-on practice.

A Computer with Adequate Specifications: Power BI can be resource-intensive, so students should have access to a computer with sufficient processing power and memory to run Power BI smoothly

A Willingness to Learn: Above all, a strong desire and commitment to learning about DAX and Power BI are essential. Students should be motivated to dive into the world of data analysis and visualization.

Description

Unlock the Power of Data: Elevate Your Skills with Power BI DAX! Are you ready to embark on a transformative journey into the world of data analysis and visualization? Our Power BI DAX course is your key to unlocking the full potential of data-driven decision-making. What You Will Learn:By enrolling in this course, you'll master Data Analysis Expressions (DAX) and gain the ability to:1. Craft captivating dashboards that tell compelling data stories.2. Harness the power of DAX formulas for advanced calculations.3. Dive into real-world case studies and hands-on exercises.4. Develop the skills to write your custom DAX expressions. Challenge Your Knowledge:Test your understanding with quizzes at the end of each section. These assessments ensure you're not just learning but truly mastering each concept. The Power of Power BI:Discover why Power BI is indispensable in today's business landscape:1. Data-Driven Insights: Leverage data to make informed decisions.2. Visual Storytelling: Create engaging reports that captivate stakeholders.3. Real-Time Analytics: Stay ahead with up-to-the-minute insights.4. Competitive Edge: Gain a skill sought after by top employers.Don't miss this opportunity to elevate your career and become a data-driven decision-maker. Enroll now, and let's embark on a journey to unlock the secrets of DAX in Power BI!

Overview

Section 1: Download Resources (All Files)

Lecture 1 Download

Section 2: Student Assessment

Section 3: Introducing You To DAX Language

Lecture 2 Calculated Columns

Lecture 3 Understanding Measures

Lecture 4 0.2 Power BI Conditional Functions

Lecture 5 Measures vs Calculated Columns

Lecture 6 Aggregation function vs Iterator functions

Lecture 7 Where Calculated Columns wins over Measures

Lecture 8 Understanding the Power BI Counts Function

Lecture 9 0.1 Power BI Conditional Functions

Lecture 10 Error Handling Functions

Lecture 11 Intro to Power BI Variables

Lecture 12 Understanding the Related Functions

Section 4: Understand The Table Functions

Lecture 13 Intro to Table Function

Lecture 14 Intro to Filter Function (Filter and Filters Function in Calculated Table)

Lecture 15 Intro to Filter Function (Filter Function in Measure)

Lecture 16 Understand the All

Lecture 17 How to Mix Table Functions

Lecture 18 Understand the Allselected Function

Lecture 19 Understand the Related Functions

Lecture 20 Edit Remove ending part Distinct Function

Section 5: Inside Evaluation Contexts

Lecture 21 Intro to Evaluation Context

Lecture 22 Understand the Filter Context

Lecture 23 Row Context

Lecture 24 filtering a Table

Lecture 25 How Filter and Relationship work

Section 6: Understanding The Calculate Function In Power BI

Lecture 26 Intro to Calculate Function

Lecture 27 Calculate Function (Gender Revenue)

Lecture 28 Calculate Function (All function)

Lecture 29 Calculate Function (filter Table)

Lecture 30 Calculate Function (Allselected function)

Lecture 31 Calculate Function (Keepfilter function)

Lecture 32 Calculate Function (And Function)

Section 7: All You Need To Know About Iterator Function

Lecture 33 Intro to Iterators and Context Transition

Lecture 34 Understand the Iterator Function

Lecture 35 Understand the MaxX, MinX and the AverageX

Lecture 36 Understand the RankX Iterator Function

Lecture 37 Intro to ISINSCOPE Function

Section 8: Build An Advance Power BI Date Table

Lecture 38 Adding more columns to the Calendar

Lecture 39 Importing Data for Date Table

Lecture 40 The use of CalendarAuto

Lecture 41 Filter CalendarAuto

Lecture 42 Adding Start of Month

Lecture 43 Advanced way to add Week of Month and End of Month

Lecture 44 Full Date Table Built in Power Query

Section 9: DAX Time Intelligence

Lecture 45 Intro to Time Intelligence Function in Power BI

Lecture 46 DateAdd and SameperiodLastYear Time Intelligence Function

Lecture 47 Use of Parallelperiod and DatesYTD

Lecture 48 How to calculate Running Total without Time Intelligence Function

Lecture 49 Seasonality Sales analysis using DatesBetween Function

Lecture 50 How to calculate 7 days Rolling Total

Lecture 51 How to calculate 3 Month Average Sales

Section 10: Understand Segmentation In Power BI

Lecture 52 Intro to Segmentation

Lecture 53 Product Segmentation 01

Lecture 54 Product Segmentation 02

Lecture 55 Product Segmentation 03

Section 11: Hierarchies in DAX

Lecture 56 Intro to Hierarchy in Power BI

Lecture 57 Default Hierarchies

Lecture 58 Creating Hierarchies from One-Table

Lecture 59 How to make changes or Delete your Hierarchy

Lecture 60 Hierarchy over Multiple Tables

Lecture 61 Advanced way to create Percentage Over Hierarchy

Section 12: Dashboard Project (How to create dashboard using Power BI DAX)

Lecture 62 Understanding the Dataset

Lecture 63 Data Cleaning and Transformation

Lecture 64 Dashboard with HIT Map

Lecture 65 Formatting HIT Map Dashboard

Lecture 66 Creating the Compliance and None Compliance Dashboard

Lecture 67 Adding Commentary to Compliance and None Compliace Dashboard

Lecture 68 Formatting and creating Field Parameter.

Lecture 69 Dashboard with Tooltips

Lecture 70 Creating Background for Dashboard with Tooltips

Lecture 71 Formatting Dashboard with ToolTips

Lecture 72 Adding toolTips to Line Chart on Dashboard with Tooltips

Lecture 73 Creating Other ToolTips on Dashboard with ToolTips

Lecture 74 Adding Page Navigation

Lecture 75 Congratulations we just finish the project

Aspiring Data Analysts: This course is ideal for individuals who aspire to work as data analysts or are considering a career change into the field of data analysis.,Data Enthusiasts: It's suitable for anyone with a passion for working with data, even if they are not currently in a data-related role. This includes individuals from various backgrounds who want to enhance their data skills.,Business Professionals: Business professionals, including managers, marketers, and decision-makers, can benefit from this course as it empowers them to make data-driven decisions and better understand their organization's data.,Students and Recent Graduates: Students pursuing degrees in fields related to data science, business analytics, or similar disciplines can gain valuable skills from this course to complement their academic studies.,Professionals Seeking Career Advancement: Professionals who want to advance their careers by improving their data analysis and visualization skills can use this course to upskill and stand out in their current roles or job applications.,Excel Users: Since you have a strong background in Microsoft Excel, this course can be appealing to Excel users looking to expand their skills into Power BI and DAX,Self-Learners: Individuals who are self-driven and motivated to learn can also benefit. This course provides structured guidance and hands-on experience in a supportive learning environment.