Udemy - Tableau 9 For Data Science: REAL-Life Data Science Exercises
MP4 | Video: 1280x720 | 59 kbps | 44 KHz | Duration: 7 Hours | 1.38 GB
Genre: eLearning | Language: English
Learn Tableau 9 for Data Science step-by-step. Apply Tableau to Real-Life exercises and case-studies. Learn by doing!
A lot of Tableau courses on the web claim to be step-by-step. However, what you will find is that they tend to overwhelm you with information, making it difficult to build a coherent understanding of Tableau.
For example, when I learned Tableau I never needed to know how to Blend Data until my 3rd or even 4th project. And that's exactly how I teach this tutorial.
This course is truly step-by-step. The modules are structured in the form of simple-to-follow exercises. Each new exercise uses skills you learned in the previous one (allowing you to cement in the knowledge) and adds up to five new techniques in an easy-to-digest manner.
In this course you will LEARN BY DOING. You will find the course has a spiral structure. You will be performing exercise after exercise concreting in the fundamentals and learning more advanced techniques along the way.
You choose how deep you want to go and when you get to the end you will be able to consider yourself a highly proficient Tableau Analyst. By the end of this course will confidently add Tableau to your CV.
PS: This course will be updated with brand new sections as Tableau release new versions of their software in the future. So when you enroll - you enroll for life!
What are the requirements?
Basic knowledge of computers
What am I going to get from this course?
Over 51 lectures and 6 hours of content!
Install Tableau Desktop
Connect Tableau to various Datasets: Excel and CSV files
Create Area Charts
Create Interactive Dashboards
Understand Types of Joins and how they work
Work with Data Blending in Tableau
Create Table Calculations
Work with Parameters
Create Dual Axis Charts
Create Calculated Fields
Create Calculated Fields in a Blend
Export Results from Tableau into Powerpoint, Word, and other software
Work with Timeseries Data (two methods)
Creating Data Extracts in Tableau
Understand Aggregation, Granularity, and Level of Detail
Adding Filters and Quick Filters
Create Data Hierarchies
Adding Actions to Dashboards (filters & highlighting)
Assigning Geographical Roles to Data Elements
Advanced Data Preparation (including latest updates in Tableau 9)
What is the target audience?
You should take this course if want to learn Tableau completely from scratch
You should take this course if you know some Tableau skills but want to get better
You should take this course if you are good in Tableau and want to take your skills to the next level and truly leverage the full potential of Tableau