Skip to content Skip to sidebar Skip to footer

SQL Data Exploration for beginner Data Analyst

SQL Data Exploration for beginner Data Analyst

SQL Data Exploration for beginner Data Analyst

Hands-on Beginner Data Exploration Project for Aspiring Data Analyst.

  • New


Preview this Course

What you'll learn

  • Create Database Table Joins
  • Create Common table expression - CTE
  • Use Windows function to perform calculations on data
  • Use Aggregate functions to return aggregated data
  • Create and query views
  • Perform data type conversions
  • Explore Real World Covid DataSets
  • Write SQL Queries to get answers from the database

Description

SQL stands for Structured Query Language.  SQL lets you access and manipulate databases



SQL can execute queries against a database

SQL can retrieve data from a database

SQL can insert records in a database

SQL can update records in a database

SQL can delete records from a database

SQL can create new databases

SQL can create new tables in a database

SQL can create stored procedures in a database

SQL can create views in a database

SQL can set permissions on tables, procedures, and views



Data exploration is the initial step in data analysis, where users explore a large data set in an unstructured way to uncover initial patterns, characteristics, and points of interest. This process isn’t meant to reveal every bit of information a dataset holds, but rather to help create a broad picture of important trends and major points to study in greater detail. Data exploration can use a combination of manual methods and automated tools such as data visualizations, charts, and initial reports.



Exploratory Data Analysis (EDA) is the first step in your data analysis process. Here, you make sense of the data you have and then figure out what questions you want to ask and how to frame them, as well as how best to manipulate your available data sources to get the answers you need.  You do this by taking a broad look at patterns, trends, outliers, unexpected results and so on in your existing data, using visual and quantitative methods to get a sense of the story this tells. You’re looking for clues that suggest your logical next steps, questions or areas of research.



Who this course is for:

  • Beginner Data Analyst
  • Beginner Data Scientist
100% Off Udemy Coupon . Free Udemy Courses . Online Classes

Post a Comment for "SQL Data Exploration for beginner Data Analyst"