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Best Machine Learning Book for Beginners

You need a mixof different technologies for Data Science projects. Instead of learning many skills, just learn a few. The four main steps of any project are extracting the data, model development, artificial intelligence, and presentation. Attending interviews with many skills is not so easy. So keep the skills short.
A person with many skills can't perform all the work. You had better learn a few skills like Python, MATLAB, Tableau, and RDBMS. So that you can get a job quickly in the data-science project.
Out of Data Science skills, Machine learning is a new concept. Why because you can learn Python, like any other language. Tableau also the same. Here is the area that needs your 60% effort is Machine learning.  Machine Learning best book to start.

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5 Useful Tableau Features for Data Analytics

Below are the top Tableau features for data analytics. Tableau 9 for Data Science engineers.


5 Useful Tableau Features for Data Analytics
5 Useful Tableau Features for Data Analytics

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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