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How to Show Data science Project in Resume

In any project, the Data analyst role is to deal with data. The data for data science projects come from multiple sources. This post will explain how to put in data science project in Resume.
Data Science project for Resume The first step for an interview of any project is you need Resume. You need to tell clearly about your resume.

In interviews, you will be asked questions about your project. So the second step is you need to be in a position explain about project.

The third point is you need to explain the roles you performed in your data science project. If you mention the roles correctly, then, you will have 100% chance to shortlist your resume. Based on your experience your resume can be 1 page or 2 pages.
How to show Technologies used in Data science projects In interviews, again they will be asked how you used different tools to complete your data science project.

So, you need to be in a position to explain about how you used different options present in the tools. Sometime…

Five Tableau functions you need for awesome data analytics

Tableau Commands
Tableau Commands
The below are the few things that you need to do when you are very beginner with Tableau. Tableau 9 for Data Science engieers.

CONNECTING TO LOCAL FILE 
Tableau can connect to any local file or database such as
  • Excel 
  • Text File
  • Access 
  • Statistical File, or 
  • Other Database file
CONNECTING TO SERVER
Tableau can connect to your data server too. It can connect to almost any type of data server.
Below are some of the most popular databases that Tableau can connect:
  • Tableau Server
  • Google Analytics
  • Google BigQuery
  • Hortonworks Hadoop Hive
  • MapR Hadoop Hive
  • IBM DB2
  • IBM BigInsights
  • IBM Netezza
  • Microsoft SQL Server
  • Microsoft Analysis Services
  • Oracle
  • Oracle Essbase
  • MySQL
  • PostgreSQL
  • SAP
While working on Tableau, data can have Live Connection where any change in the source data will be automatically updated in Tableau. On the other hand, data can be Extracted to Tableau repository so that any change made here will not affect the original source data.


CONNECTING TO EXCEL FILE

To connect to an excel file, click “Excel” on the left hand side. Navigate to the file on your computer and double click to open it. For this tutorial, I will use a sample file that comes with the installation called “superstore”. You should open the appropriate file that you will be working with. 

Now you are in the data connection window. It looks like the following Notice that I have three sheets in this file Orders,People, and Returns. I can simply drag the table I want. If I drag more than one table,Tableau automatically creates the join between the tables.

Creating charts

Based on the data we connected is easy. At the bottom of the page, Click on a sheet, Tableau automatically separates the data into Dimensions and Measures. 

Dimensions are the categorical fields. These fields will create labels in the chart. Measures are the quantitative fields. These are the numbers we want to analyze. They create axis in the chart. Sometimes, it might be confusing what type of chart should be used for a specific data. Tableau has an interesting feature called “Show me”. “Show me” is the list of the possible charts that can be created using different combination of data.

CREATING DASHBOARD

Tableau Dashboard contains all the related features intuitively interconnected to provide interactive and real-time dashboard experience for non-technical users. To create a dashboard, click “New Dashboard” icon at the bottom the page. 

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