Tags
Language
Tags
June 2025
Su Mo Tu We Th Fr Sa
1 2 3 4 5 6 7
8 9 10 11 12 13 14
15 16 17 18 19 20 21
22 23 24 25 26 27 28
29 30 1 2 3 4 5
    Attention❗ To save your time, in order to download anything on this site, you must be registered 👉 HERE. If you do not have a registration yet, it is better to do it right away. ✌

    ( • )( • ) ( ͡⚆ ͜ʖ ͡⚆ ) (‿ˠ‿)
    SpicyMags.xyz

    Power Bi And Tableau For Data Visualization [2-In-1 Bundle]

    Posted By: ELK1nG
    Power Bi And Tableau For Data Visualization [2-In-1 Bundle]

    Power Bi And Tableau For Data Visualization [2-In-1 Bundle]
    Published 1/2024
    MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
    Language: English | Size: 7.68 GB | Duration: 17h 30m

    Learn the top 2 data visualization tools - Power BI and Tableau in 1 course | Beginner friendly | Basic to Advance Level

    What you'll learn

    Connect and Integrate various data sources into Power BI and Tableau, including CSV files, SQL databases, and cloud storage services

    Manipulate and Transform Data using Power Query in Power BI, mastering skills such as merging, appending, and pivoting data for optimal analysis

    Create Advanced Data Models in Power BI, understanding relationships, cardinality, and different schema types like Star and Snowflake

    Design Comprehensive Dashboards using both Power BI and Tableau, learning to effectively communicate data insights through visual storytelling

    Develop Complex Charts and Graphs, including bar, line, and scatter plots in Power BI and Tableau, enhancing the ability to illustrate data trends and patterns

    Perform In-depth Data Analysis using DAX functions in Power BI and calculated fields in Tableau, enabling sophisticated data manipulation and insight generation

    Utilize Advanced Visualization Techniques in Tableau, such as creating custom hierarchies, dual combination charts, and Geo charts etc.

    Implement Effective Data Filtering and Sorting Techniques in both Power BI and Tableau, allowing for focused and precise data exploration

    Publish and Share Interactive Reports and Dashboards, gaining skills in saving, sharing, and presenting data visualizations in professional formats

    Requirements

    A PC with internet connection. Installation instructions for the tools used are covered in the course.

    Description

    Are you an aspiring data professional, business analyst, or someone looking to master the art of data visualization? Have you been searching for a comprehensive course that will take you from a novice to an expert in the world's leading data visualization tools? If your goal is to make impactful, data-driven decisions, then this course is tailor-made for you.This unique 2-in-1 bundle course offers a high-level overview of both Power BI and Tableau, the leading tools in data visualization. The course is designed to provide you with the skills to create compelling, insightful visualizations, and dashboards that make data come alive.In this course, you will:Develop proficiency in using Power BI and Tableau, starting from the basics and progressing to advanced techniques.Master the art of connecting to various data sources, data preparation, and transformation using Power Query in Power BI.Create sophisticated data models and understand relationships, cardinality, and schema types.Design and customize interactive charts, graphs, and reports that tell compelling data stories.Explore the powerful DAX functions in Power BI and calculated fields in Tableau for in-depth data analysis.Harness the full potential of Tableau by learning data categorization, creating custom hierarchies, and mastering different types of visualizations.Why is Data Visualization Crucial? In today’s data-driven world, the ability to visualize and communicate data effectively is essential. It's not just about presenting data; it's about unlocking the story that the data holds. This course will equip you with the necessary skills to transform raw data into visually appealing and understandable formats that drive strategic decision-making.Course Activities and Highlights:Hands-on projects including building dashboards, creating custom charts, and performing complex data analysis.Real-world case studies to apply your learning in practical scenarios.Quizzes and exercises for self-assessment and deeper understanding.Why Choose This Course? This course stands out because of its comprehensive coverage of both Power BI and Tableau, detailed practical examples, and a step-by-step approach that ensures all students, regardless of their starting skill level, can gain mastery.Ready to Embark on Your Data Visualization Journey? Enroll now and take the first step towards mastering Power BI and Tableau, and elevating your data visualization skills. Transform your career and become an in-demand data visualization expert today!

    Overview

    Section 1: Introduction

    Lecture 1 Introduction

    Lecture 2 Course resources

    Lecture 3 This is a milestone

    Section 2: Installation and Setting up Power BI Desktop

    Lecture 4 Installation and Setting up Power BI Desktop

    Lecture 5 About the data and the way forward

    Section 3: Connecting Power BI to different Data Sources

    Lecture 6 Connecting to a CSV file

    Lecture 7 Connecting to an SQL database

    Lecture 8 Getting data from all files in a folder

    Lecture 9 Getting data from an XML file

    Section 4: Preparing and Manipulating data using Power Query

    Lecture 10 Introduction to Power Query Editor

    Lecture 11 Important checks before we transform data

    Lecture 12 Merging and Appending Queries - Theory

    Lecture 13 Appending queries in Power Query

    Lecture 14 Merging queries in Power Query

    Lecture 15 Manage table rows and columns

    Lecture 16 Split Column tool

    Lecture 17 Replace Values tool

    Lecture 18 Group By tool

    Lecture 19 Pivoting and unpivoting - Theory

    Lecture 20 Pivoting and unpivoting in Power Query

    Lecture 21 Extract tool

    Lecture 22 Format Text options

    Lecture 23 Number transformations

    Lecture 24 Date and Time transformations

    Section 5: Adding new columns using Power Query

    Lecture 25 Add column from examples

    Lecture 26 Add a custom column

    Lecture 27 Add conditional and Index column

    Section 6: Creating a data model using relationships

    Lecture 28 Introduction to Model View

    Lecture 29 Creating and modifying relationships

    Lecture 30 Cardinality and cross filter direction

    Lecture 31 Fact and Dimension tables

    Lecture 32 Star and Snowflake schemas

    Lecture 33 Data Pane and the Properties Pane

    Section 7: Creating Charts and Visuals in Power BI

    Lecture 34 Bar chart and Column chart

    Lecture 35 Clustered Bar chart and Stacked Bar chart

    Lecture 36 Chart formatting options

    Lecture 37 Small multiples, Tooltips and Drill Through

    Lecture 38 Line chart and Area chart

    Lecture 39 Combination chart or a combo chart

    Lecture 40 Pie chart and Donut chart

    Lecture 41 Scatter chart and Bubble chart

    Lecture 42 Applying filters

    Lecture 43 'Add Further Analysis' tab

    Lecture 44 Table and Matrix Visuals

    Lecture 45 Card and Multi-row cards

    Lecture 46 Hierarchies in Power BI

    Lecture 47 Tree map

    Lecture 48 Map charts for showing geographical data

    Lecture 49 Conditional formatting of charts

    Section 8: Advanced Charts

    Lecture 50 Gauge Chart

    Lecture 51 KPI Chart

    Lecture 52 Funnel Chart

    Lecture 53 Ribbon Chart

    Section 9: Data analysis using DAX

    Lecture 54 Introduction to DAX

    Lecture 55 DAX syntax and Row context vs Filter context

    Lecture 56 Types of operators and functions

    Lecture 57 Demonstration of new columns and new measures

    Lecture 58 Using explicit measures to create new measures

    Lecture 59 IF function with Logical operators

    Lecture 60 COUNT and DISTINCTCOUNT functions

    Lecture 61 RELATED function

    Lecture 62 CALCULATE function

    Lecture 63 All Function

    Lecture 64 Filter function

    Lecture 65 SUMX Iterator function

    Lecture 66 DATESYTD and DATEADD- Time intelligence function

    Section 10: Creating Beautiful and Interactive Reports in Power BI

    Lecture 67 Introduction to reports

    Lecture 68 Formatting report page and creating a template

    Lecture 69 Slicers on report page

    Lecture 70 Drill-through for report pages

    Lecture 71 Adding a page navigator

    Lecture 72 Adding Bookmarks to the report

    Section 11: TABLEAU STARTS HERE!

    Lecture 73 Comparision between Power BI vs Tableau

    Section 12: Installation and getting started With Tableau

    Lecture 74 Tableau Products

    Lecture 75 Installing Tableau desktop and Public

    Lecture 76 About the data

    Lecture 77 Connecting to data

    Lecture 78 Live vs Extract

    Section 13: Combining data to create Data model

    Lecture 79 Relationships in Tableau

    Lecture 80 Combining data from multiple tables

    Lecture 81 Joins in Tableau

    Lecture 82 Types of Joins in Tableau

    Lecture 83 Union in Tableau

    Lecture 84 Physical Logical layer and Data models

    Lecture 85 The visualization screen - Sheet

    Section 14: Data categorization in Tableau

    Lecture 86 Types of Data - Dimensions and Measures

    Lecture 87 Types of Data - Discreet and Continuous

    Lecture 88 Changing Data type in Tableau

    Section 15: Most used charts

    Lecture 89 Bar charts

    Lecture 90 Line charts

    Lecture 91 Scatterplots

    Section 16: Customizing charts using Marks shelf

    Lecture 92 Marks cards

    Lecture 93 Dropping Dimensions and Measures on marks card

    Lecture 94 Dropping Dimensions on Line chart

    Lecture 95 Adding marks in scatterplot

    Section 17: Other important charts

    Lecture 96 Text tables, heat map and highlight tables

    Lecture 97 Pie charts

    Lecture 98 Area charts

    Lecture 99 Creating custom hierarchy

    Lecture 100 Tree map

    Lecture 101 Dual combination charts

    Lecture 102 Creating Bins

    Lecture 103 Histogram

    Section 18: Grouping and Filtering data

    Lecture 104 Grouping Data

    Lecture 105 Filtering data

    Lecture 106 Dimension filters

    Lecture 107 Measure filters

    Lecture 108 Date-Time filters

    Lecture 109 Filter options

    Lecture 110 Types of filters and order of operation

    Lecture 111 Customizing visual filters

    Lecture 112 Sorting options

    Section 19: Map chart in Tableau

    Lecture 113 How to make a map chart

    Lecture 114 Considerations before making a Map chart

    Lecture 115 Marks card for customizing maps

    Lecture 116 Customizing maps using map menu

    Lecture 117 Layers in a Map

    Lecture 118 Visual toolbar on a map

    Lecture 119 Custom background images

    Lecture 120 Territories in maps

    Lecture 121 Data blending for missing geocoding

    Section 20: Calculations and Analytics

    Lecture 122 Calculated fields in Tableau

    Lecture 123 Functions in Tableau

    Lecture 124 Table calculations theory

    Lecture 125 Table calculations in Tableau

    Lecture 126 Understanding LOD expressions

    Lecture 127 LOD expressions examples

    Lecture 128 Analytics pane

    Section 21: Sets and Parameters

    Lecture 129 Understanding sets in Tableau

    Lecture 130 Creating Sets in Tableau

    Lecture 131 Parameters

    Section 22: Dashboard and Story

    Lecture 132 Dashboard part -1

    Lecture 133 Dashboard part - 2

    Lecture 134 Story

    Section 23: Saving and Sharing your work

    Lecture 135 Saving and sharing tableau workbook

    Lecture 136 Saving and sharing data

    Lecture 137 Saving and sharing views and dashboards

    Section 24: Appendix

    Lecture 138 Connecting to SQL data source

    Lecture 139 Connecting to cloud storage services

    Lecture 140 The final milestone!

    Section 25: Congratulations and about your certificate

    Lecture 141 Bonus lecture

    Students or beginners who are new to the field of data visualization and want to learn about the top tools in the market.,Business professionals who want to gain advanced skills in data visualization using the 2 most popular tools.,Analysts or managers who work with large sets of data and need to present them in an easy-to-understand manner to others.,Data enthusiasts who want to broaden their knowledge in data visualization and learn about the latest features in these tools.,Career Changers Targeting Data Visualization Roles