Automate SQL queries for Data Analysis and Visualization

Automate SQL queries for Data Analysis and Visualization, available at $19.99, has an average rating of 5, with 33 lectures, based on 1 reviews, and has 352 subscribers.

You will learn about Introduction to MySQL and the Sakila sample database. How to set up Python with MySQL using the pymysql library. How to create a connection to a MySQL database using SQLAlchemy. How to execute SQL queries in Python. How to load SQL query results into pandas DataFrames. How to filter, sort, and aggregate data using pandas. Joining tables in SQL and combining data from multiple sources. Introduction to data visualization using the matplotlib library. Creating various types of plots with matplotlib (e.g., bar charts, line charts) Customizing plot appearance, labels, and legends in matplotlib How to ask meaningful questions and generate insights from the data. Working with time series data and analyzing trends over time. How to explore correlations and relationships between variables. Grouping and aggregating data to explore patterns and trends. This course is ideal for individuals who are Students: College or university students studying computer science, data science, statistics, or related fields who want to learn data analysis and visualization techniques using Python and MySQL. or Professionals: Individuals working in various industries, such as finance, marketing, healthcare, or retail, who want to gain data analysis skills to make data-driven decisions or advance their careers. or Researchers and analysts: Researchers and data analysts looking to expand their toolkit with Python, MySQL, and data visualization libraries such as matplotlib and seaborn. or Data enthusiasts: Individuals with a passion for data and a desire to explore and extract insights from datasets, either for personal or professional growth. or Career changers: Professionals looking to transition into a data-centric role or field, such as data science, business intelligence, or data analytics, and seeking foundational knowledge in data analysis and visualization using Python and MySQL. or Software developers: Programmers with prior coding experience who want to learn how to work with databases, manipulate data, and create visualizations using Python. or Educators: Teachers or instructors who want to learn the course material to incorporate it into their own courses or workshops. or Entrepreneurs and business owners: Individuals who want to leverage data analysis and visualization techniques to make informed decisions, optimize business processes, or identify new opportunities. It is particularly useful for Students: College or university students studying computer science, data science, statistics, or related fields who want to learn data analysis and visualization techniques using Python and MySQL. or Professionals: Individuals working in various industries, such as finance, marketing, healthcare, or retail, who want to gain data analysis skills to make data-driven decisions or advance their careers. or Researchers and analysts: Researchers and data analysts looking to expand their toolkit with Python, MySQL, and data visualization libraries such as matplotlib and seaborn. or Data enthusiasts: Individuals with a passion for data and a desire to explore and extract insights from datasets, either for personal or professional growth. or Career changers: Professionals looking to transition into a data-centric role or field, such as data science, business intelligence, or data analytics, and seeking foundational knowledge in data analysis and visualization using Python and MySQL. or Software developers: Programmers with prior coding experience who want to learn how to work with databases, manipulate data, and create visualizations using Python. or Educators: Teachers or instructors who want to learn the course material to incorporate it into their own courses or workshops. or Entrepreneurs and business owners: Individuals who want to leverage data analysis and visualization techniques to make informed decisions, optimize business processes, or identify new opportunities.

Enroll now: Automate SQL queries for Data Analysis and Visualization

Summary

Title: Automate SQL queries for Data Analysis and Visualization

Price: $19.99

Average Rating: 5

Number of Lectures: 33

Number of Published Lectures: 33

Number of Curriculum Items: 33

Number of Published Curriculum Objects: 33

Original Price: $39.99

Quality Status: approved

Status: Live

What You Will Learn

• Introduction to MySQL and the Sakila sample database.
• How to set up Python with MySQL using the pymysql library.
• How to create a connection to a MySQL database using SQLAlchemy.
• How to execute SQL queries in Python.
• How to load SQL query results into pandas DataFrames.
• How to filter, sort, and aggregate data using pandas.
• Joining tables in SQL and combining data from multiple sources.
• Introduction to data visualization using the matplotlib library.
• Creating various types of plots with matplotlib (e.g., bar charts, line charts)
• Customizing plot appearance, labels, and legends in matplotlib
• How to ask meaningful questions and generate insights from the data.
• Working with time series data and analyzing trends over time.
• How to explore correlations and relationships between variables.
• Grouping and aggregating data to explore patterns and trends.

Who Should Attend

• Students: College or university students studying computer science, data science, statistics, or related fields who want to learn data analysis and visualization techniques using Python and MySQL.
• Professionals: Individuals working in various industries, such as finance, marketing, healthcare, or retail, who want to gain data analysis skills to make data-driven decisions or advance their careers.
• Researchers and analysts: Researchers and data analysts looking to expand their toolkit with Python, MySQL, and data visualization libraries such as matplotlib and seaborn.
• Data enthusiasts: Individuals with a passion for data and a desire to explore and extract insights from datasets, either for personal or professional growth.
• Career changers: Professionals looking to transition into a data-centric role or field, such as data science, business intelligence, or data analytics, and seeking foundational knowledge in data analysis and visualization using Python and MySQL.
• Software developers: Programmers with prior coding experience who want to learn how to work with databases, manipulate data, and create visualizations using Python.
• Educators: Teachers or instructors who want to learn the course material to incorporate it into their own courses or workshops.
• Entrepreneurs and business owners: Individuals who want to leverage data analysis and visualization techniques to make informed decisions, optimize business processes, or identify new opportunities.

Target Audiences

• Students: College or university students studying computer science, data science, statistics, or related fields who want to learn data analysis and visualization techniques using Python and MySQL.
• Professionals: Individuals working in various industries, such as finance, marketing, healthcare, or retail, who want to gain data analysis skills to make data-driven decisions or advance their careers.
• Researchers and analysts: Researchers and data analysts looking to expand their toolkit with Python, MySQL, and data visualization libraries such as matplotlib and seaborn.
• Data enthusiasts: Individuals with a passion for data and a desire to explore and extract insights from datasets, either for personal or professional growth.
• Career changers: Professionals looking to transition into a data-centric role or field, such as data science, business intelligence, or data analytics, and seeking foundational knowledge in data analysis and visualization using Python and MySQL.
• Software developers: Programmers with prior coding experience who want to learn how to work with databases, manipulate data, and create visualizations using Python.
• Educators: Teachers or instructors who want to learn the course material to incorporate it into their own courses or workshops.
• Entrepreneurs and business owners: Individuals who want to leverage data analysis and visualization techniques to make informed decisions, optimize business processes, or identify new opportunities.