![Learning Einstein Analytics](https://wfqqreader-1252317822.image.myqcloud.com/cover/290/36700290/b_36700290.jpg)
Data preparation
In Einstein, all visualizations are built on datasets. A dataset is a collection of related data in the highly normalized form. You use data source in Einstein Analytics to create reports, dashboards, and business insights. We can create a dataset using the following three different methods:
- CSV
- Salesforce data
- Informatica Rev / external data source
The easiest way is to get a CSV file from reports. Let's take a look at the following steps:
- Create a report on an account, export it to a CSV file named Account_data.csv, and save it to your local drive.
- Let's go to Einstein Analytics. To open Einstein, open the Trailhead Data Manager drop-down list at the top-right corner and select Analytics Studio:
![](https://epubservercos.yuewen.com/4EE7D7/19470398608911706/epubprivate/OEBPS/Images/239341cf-3324-4074-8c9e-e15e5cd29ff1.png?sign=1738902799-dSMzadBoJks61fpKLcoYIylizK10LJcc-0-705f0ffd77d65f43d5b7a1316831bea3)
- If you are in the Lightning mode, select Analytics Studio in the App Launcher section, as shown in the following screenshot:
![](https://epubservercos.yuewen.com/4EE7D7/19470398608911706/epubprivate/OEBPS/Images/4398cc6f-426b-47b6-ae82-9a37d70067bd.png?sign=1738902799-HzJapQkbbtyGwHedfWtlYgTfZ7fHiDXY-0-05ac911c7e4a7a4a19f82a3f6b3f36f4)
Hurrah!!!! You have successfully logged in to Einstein Analytics.
Let's get familiar with the environment and create your first dataset using the dataset builder:
![](https://epubservercos.yuewen.com/4EE7D7/19470398608911706/epubprivate/OEBPS/Images/9128a9f6-6a7a-4a9c-888a-1f03e00ba3c0.png?sign=1738902799-5aqrIBgKbWcEPiuAz3pE5cHnYHSmUGm5-0-e90aa08d00dd07e8c36cb5f16a505920)
Analytics Studio is the area where you can see your Einstein platform applications; you can pin and unpin your applications to personalize your home page. If you click on the ALL tab, you can see all your applications, dashboards, lenses, and datasets on a single page.