In this module, you will have a refresher on dependent and independent variables and how they are used in Data Analysis. You’ll also learn exploratory and explanatory data analysis with case studies. We will also look into the different types of graphs possible and possible use cases Dependent & independent variables Dimensions & Measures Exploratory and explanatory analysis Different Types of Graphs (Refresher)
In this module, we will get everyone set up with installing Tableau on their laptops to get started.
Since this course is practical, you will learn how to import real data into Tableau. We will provide the data sources. You’ll be able to connect your data to Tableau.
We will explore the different chart types in Tableau Cross Tabs Pie and bar charts Geographic maps Dual axis and combo charts with different mark types Heat maps Highlight tables Tree maps Scatter plots
In this module we will look into the following: Slicing your data by date Mapping data geographically Using multiple measures in a view Simplifying and sorting of data You will learn how to customize and organize your data as allowed by Tableau. You will also learn how to simplify and sort your data.
In this module you will learn how to analyse your data and perform the following: Quick table calculations Calculating percentages Basic arithmetic calculations, Custom aggregations and ratios, Date math, and quick table calculations. Showing breakdowns
In this module you will learn how to do the following: Creating dashboards Making your views available
|1||Level 1||Basic Data Visualisation with Tableau graduates at this level will have knowledge and skills for initial work, community involvement and/or further learning.||Certificate I|