Power Bi Mastery: Zero To Hero Data Skills

Power Bi Mastery: Zero To Hero Data Skills
Published 4/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English

| Size: 3.37 GB[/center]
| Duration: 6h 33m
Learn Data Visualization, Advanced Charts, Power Query, and HR Analytics with Power BI

What you'll learn

Master the basics of Power BI, including its components and workflow.

Efficiently download and install Power BI on your system.

Create and analyze basic to advanced charts and visualizations.

Develop geographical insights using various map features in Power BI.

Utilize tables and matrices for detailed data representation.

Implement and manage dynamic cards and filters for interactive reports.

Customize slicers for effective data segmentation and exploration.

Harness advanced charting techniques like bar chart races and sunbursts.

Link objects to actions for interactive Power BI reports and dashboards.

Publish, share, and manage Power BI reports and dashboards effectively.

Requirements

No prior experience with Power BI required.

Basic understanding of data handling is helpful.

Access to a computer with internet connection.

Power BI Desktop installed (free download from Microsoft).

Description

Dive deep into the world of data with our comprehensive course, "Power BI Mastery: Zero to Hero Data Skills". This meticulously crafted course is tailored for beginners and intermediate users looking to harness the full potential of Power BI for business intelligence and data analysis. Over the span of our modules, you will start with the fundamentals, learning what Power BI is and how it functions. Quickly move from basic concepts to mastering sophisticated data visualization techniques including column charts, maps, and advanced charts like Sankey diagrams and animated bar races.Beyond visuals, the course covers essential Power BI services, teaching you to create and publish comprehensive reports, manage dashboards, and share insights across teams with ease. We also delve deep into Power Query, where you will master text, date, and number functions essential for data manipulation.Practical, real-world applications are central to the learning experience. Engage in projects such as an HR Data Analytics Project to apply what you've learned in a meaningful way. By the end of this course, you will not only understand Power BI inside out but also be able to make informed decisions using your data, present findings effectively, and advance your career in data science or any data-driven field. Join us to transform raw data into compelling stories with Power BI!

Overview

Section 1: Introduction to Power BI

Lecture 1 Introduction to Power BI

Section 2: Download and installation

Lecture 2 Download and installation

Section 3: Basic Charts in Power BI

Lecture 3 Column chart

Lecture 4 Stacked column chart

Lecture 5 Pie chart

Lecture 6 Donut chart

Lecture 7 Funnel chart

Lecture 8 Ribbon chart

Section 4: How to Create a Map in Power BI

Lecture 9 Simple Map

Lecture 10 Filled map

Lecture 11 Map with pie chart

Lecture 12 Formatting in map

Lecture 13 Background changes in map

Section 5: Table & Matrix in Power BI

Lecture 14 Creating a simple table

Lecture 15 Formatting in table

Lecture 16 Conditional formatting in table

Lecture 17 Changing aggregation in table

Lecture 18 Creating a matrix in power bi

Lecture 19 Conditional formatting in matrix

Lecture 20 Automatic hierarchy in matrix

Lecture 21 Subtotal and grand total

Lecture 22 Number formatting in table and matrix

Section 6: Cards & Filters in Power BI

Lecture 23 Number card

Lecture 24 Text card

Lecture 25 Date card

Lecture 26 Multi-row card

Lecture 27 Filter on visual

Lecture 28 Filter on page

Lecture 29 Filter on all pages

Section 7: Slicers in Power BI

Lecture 30 Slicer for text

Lecture 31 Format text slicer

Lecture 32 Slicer for Date

Lecture 33 Format date slicer

Lecture 34 Number slicer

Section 8: Advanced Charts in Power BI

Lecture 35 Clear-RecycleBin -Confirm false

Lecture 36 Drill down donut chart

Lecture 37 Word cloud

Lecture 38 Sankey chart

Lecture 39 Infographic

Lecture 40 Play axis

Lecture 41 Scroller

Lecture 42 Sunburst

Lecture 43 Histogram

Section 9: Objects & Actions (Hyperlinks)

Lecture 44 Insert object

Lecture 45 Insert text

Lecture 46 Insert shapes

Lecture 47 Insert buttons

Lecture 48 Action-web URL

Lecture 49 Page navigation

Lecture 50 Bookmark

Section 10: ower BI Service Introduction

Lecture 51 Creating a superstore report

Lecture 52 Publish report to power bi service account

Lecture 53 Export(PPT,PDF,PBIX)report and share

Lecture 54 Create a dashboard in power bi service

Lecture 55 Problem in power bi dashboard and its solution

Section 11: Text Functions in Power Query

Lecture 56 Merge

Lecture 57 Split and trim

Lecture 58 Upper,lower and proper

Lecture 59 Add suffix and prefix

Lecture 60 Left,right and mid

Lecture 61 Extract text with delimiter

Section 12: Date Functions in Power Query

Lecture 62 Year,quarter,month,day

Lecture 63 Difference between dates,earliest and latest

Lecture 64 Name of day and name of month

Lecture 65 Day of week/month/year & week of month/year

Lecture 66 Extract date from date and time

Lecture 67 Calculate age in 2 button clicks

Lecture 68 Which day of year,quarter,month your date of birth is

Section 13: Number Functions in Power Query

Lecture 69 Add,subtract,divide,multiply

Lecture 70 Percentage,percent of,modulo

Lecture 71 Rounding the numbers

Lecture 72 IsEven,IsOdd and sign

Section 14: Appending Files & Tables in Power BI

Lecture 73 Append multiple csv files from a folder

Lecture 74 Append multiple excel tables/sheets from single file

Lecture 75 Append excel tables with different numbers of columns

Lecture 76 Append multiple excel files from a folder

Lecture 77 Append different data source files in power query

Section 15: HR Data Analytics Project parts 1

Lecture 78 HR Data Analytics Project parts 1

Section 16: HR Data Analytics Project parts 2

Lecture 79 HR Data Analytics Project parts 2

Beginners in Data Science: Ideal for those starting their journey in data analytics.,Business Analysts: Professionals seeking to enhance their data visualization skills.,Project Managers: Managers needing to visualize and report on project data effectively.,Marketing Professionals: Marketers who want to leverage data for strategic decisions.,Small Business Owners: Owners needing to analyze business data without heavy IT support,Students in Business or IT: Academics aiming to bolster their data handling capabilities.