Tableau & Tableau Prep for Data Preparation & Visualization
Tableau & Tableau Prep for Data Preparation & Visualization, available at $54.99, has an average rating of 4.68, with 117 lectures, 11 quizzes, based on 128 reviews, and has 9983 subscribers.
You will learn about Master the art of data preparation and cleaning with Tableau Prep Explore the Tableau interface and workflow for data preparation and visualization Learn how to use Tableau to explore and analyze data to make data-driven decisions Explore data blending techniques to integrate data from multiple sources Master the use of data hierarchies and groupings to organize and filter data Build your skills in using calculated fields and parameters to create advanced visualizations Learn how to use advanced mapping techniques to visualize geographic data This course is ideal for individuals who are Business analysts who want to improve their data visualization and analysis skills or Students and professionals who are new to data analysis and want to learn Tableau and Tableau Prep from scratch. or Data analysts who want to learn how to use Tableau prep for data preparation and Tableau for visualization It is particularly useful for Business analysts who want to improve their data visualization and analysis skills or Students and professionals who are new to data analysis and want to learn Tableau and Tableau Prep from scratch. or Data analysts who want to learn how to use Tableau prep for data preparation and Tableau for visualization.
Enroll now: Tableau & Tableau Prep for Data Preparation & Visualization
Summary
Title: Tableau & Tableau Prep for Data Preparation & Visualization
Price: $54.99
Average Rating: 4.68
Number of Lectures: 117
Number of Quizzes: 11
Number of Published Lectures: 116
Number of Published Quizzes: 10
Number of Curriculum Items: 128
Number of Published Curriculum Objects: 126
Original Price: $49.99
Quality Status: approved
Status: Live
What You Will Learn
- Master the art of data preparation and cleaning with Tableau Prep
- Explore the Tableau interface and workflow for data preparation and visualization
- Learn how to use Tableau to explore and analyze data to make data-driven decisions
- Explore data blending techniques to integrate data from multiple sources
- Master the use of data hierarchies and groupings to organize and filter data
- Build your skills in using calculated fields and parameters to create advanced visualizations
- Learn how to use advanced mapping techniques to visualize geographic data
Who Should Attend
- Business analysts who want to improve their data visualization and analysis skills
- Students and professionals who are new to data analysis and want to learn Tableau and Tableau Prep from scratch.
- Data analysts who want to learn how to use Tableau prep for data preparation and Tableau for visualization
Target Audiences
- Business analysts who want to improve their data visualization and analysis skills
- Students and professionals who are new to data analysis and want to learn Tableau and Tableau Prep from scratch.
- Data analysts who want to learn how to use Tableau prep for data preparation and Tableau for visualization
If you are looking to take your data preparation and visualization skills to the next level, then Tableau & Tableau Prep for Data Preparation & Visualization is the course for you! Are you tired of spending hours wrangling your data, only to be left with less than satisfactory visualizations? Do you struggle to tell a compelling data story to your stakeholders? Look no further!
In this course, you will develop advanced analytics skills and become a data storytelling expert. You will master the art of data preparation and visualization using the powerful Tableau and Tableau Prep tools. Here are some of the key benefits you will gain from this course:
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Develop sophisticated data visualizations that will impress your stakeholders
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Master the art of data storytelling and effectively communicate your insights
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Build interactive dashboards that will allow your stakeholders to easily explore and understand your data
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Streamline your data preparation process with Tableau Prep
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Automate repetitive data preparation tasks to save time and increase efficiency
Data is the backbone of decision making, and the ability to effectively analyze and communicate data is a highly sought-after skill in today’s job market. In this course, you will complete hands-on activities such as building interactive dashboards, cleaning and transforming data, and crafting compelling data narratives.
This course is different because it combines the power of Tableau and Tableau Prep, giving you a holistic approach to data preparation and visualization. You’ll learn from industry experts who have years of experience in data analytics and visualization. Join us now to accelerate your analytics skills and become a pro at preparing and visualizing data.
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Chapter 2: Installation and getting started
Lecture 1: Tableau prep Installation
Lecture 2: Course Resources
Lecture 3: This is a Milestone!
Lecture 4: The example problem statement
Lecture 5: Demonstration of Tableau transformation
Chapter 3: Basic concepts – Theory for foundational understanding
Lecture 1: What is ETL
Lecture 2: Data Warehouse, Ops Database
Lecture 3: Inmon vs Kimble
Lecture 4: ETL vs ELT
Chapter 4: The ETL process: The practical part begins here
Lecture 1: Data and the ETL process
Chapter 5: DATA EXTRACTION: Extracting tabular data
Lecture 1: Inputting Data from a TXT (text) file
Lecture 2: Inputting Data from CSV file
Lecture 3: Inputting Data from Excel file
Chapter 6: Extracting data from an SQL table
Lecture 1: Plan for importing sales data
Lecture 2: Installing and setting up postgreSQL
Lecture 3: Creating sales table in SQL
Lecture 4: Exporting from an SQL table
Chapter 7: Storing and Retrieving Data from Cloud storage
Lecture 1: Storing and Retrieving Data on Google Drive
Lecture 2: Importing Product data
Chapter 8: Merging Data streams
Lecture 1: Merging customer table
Lecture 2: Merging Sales Data
Chapter 9: Data Cleansing
Lecture 1: Introduction to Data Cleansing
Lecture 2: Value Mapping
Lecture 3: Replacing Strings
Lecture 4: Fuzzy Matching Concepts
Lecture 5: Fuzzy Matching in Tableau Prep
Lecture 6: Changing data format
Lecture 7: Common data Cleaning steps
Chapter 10: Data Validation
Lecture 1: Introduction to Data validation
Lecture 2: Data validation 1 – String to Int and integer and range validations
Lecture 3: Data validation 2 – Checking Reference Values
Lecture 4: Data validation 3 – Order date < shipping date
Lecture 5: Common data validation
Chapter 11: Error Handling
Lecture 1: Correcting the errors
Lecture 2: Writing the error to separate file
Chapter 12: Transformation and Analytics steps
Lecture 1: Concatenation
Lecture 2: Aggregation
Lecture 3: Normalization and Denormalization
Lecture 4: Cateorising customers with Age
Chapter 13: Conceptual understanding for Loading Data
Lecture 1: Facts and dimension table
Lecture 2: Surrogate key in dimension table
Chapter 14: Loading the data into a Data Mart
Lecture 1: Creating tables in Database
Lecture 2: Loading Customer Data
Lecture 3: Loading Product Data
Lecture 4: Loading Sales Data
Lecture 5: Moving to Tableau Desktop
Chapter 15: Tableau Desktop and Tableau Public
Lecture 1: Why Tableau
Lecture 2: Tableau Products
Chapter 16: Installation and getting started
Lecture 1: Installing Tableau desktop and Public
Lecture 2: About the data
Lecture 3: Connecting to data
Lecture 4: Live vs Extract
Chapter 17: Combining data to create Data model
Lecture 1: Combining data from multiple tables
Lecture 2: Relationships in Tableau
Lecture 3: Joins in Tableau
Lecture 4: Types of Joins in Tableau
Lecture 5: Union in Tableau
Lecture 6: Physical Logical layer and Data models
Lecture 7: The visualization screen – Sheet
Chapter 18: Data categorization in Tableau
Lecture 1: Types of Data – Dimensions and Measures
Lecture 2: Types of Data – Discreet and Continuous
Lecture 3: Changing Data type in Tableau
Chapter 19: Most used charts
Lecture 1: Bar charts
Lecture 2: Line charts
Lecture 3: Scatterplots
Chapter 20: Customizing charts using Marks shelf
Lecture 1: Marks cards
Lecture 2: Dropping Dimensions and Measures on marks card
Lecture 3: Adding marks in scatterplot
Chapter 21: Other important charts
Lecture 1: Text tables, heat map and highlight tables
Lecture 2: Pie charts
Lecture 3: Area charts
Lecture 4: Creating custom hierarchy
Lecture 5: Tree map
Instructors
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Start-Tech Trainings
Analytics and ML academy -
Start-Tech Academy
5,000,000+ Enrollments | 4.5 Rated | 160+ Countries
Rating Distribution
- 1 stars: 3 votes
- 2 stars: 4 votes
- 3 stars: 9 votes
- 4 stars: 45 votes
- 5 stars: 68 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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