MySQL and Statistics for Data Analysis

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Certificate

Paid

Language

Level

Intermediate

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Free

Last updated on December 19, 2024 3:15 am

Get analytical skills and proficiency in MySQL to boost your career as a data scientist or database administrator with this free course on MySQL and statistics.

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MySQL is a database management system that is used in several applications depending on the need. In most cases, it is used in combination with web development and data science, which is likely the most common use of MySQL. Do you love data and want to be proficient in analytics, data science or business analysis? This course on MySQL and statistics for data analysis will set you up for an exciting journey to become a professional data scientist.

What You Will Learn In This Free Course

  • Explain the basics of MySQL database…
  • Discuss the differences between rela…
  • List the advantages and disadvantage…
  • Explain how to create databases, tab…
  • Explain the basics of MySQL database management
  • Discuss the differences between relational and non-relational databases
  • List the advantages and disadvantages of MySQL
  • Explain how to create databases, tables, columns, and insert data in MySQL
  • Discuss the use of several statements, functions, queries and the likes in MySQL
  • Recall the features of MongoDB
  • Discuss the types and classifications of data
  • Evaluate the forms of data distribution and methods of data presentation
  • Relate how to calculate several notable statistical analyses like standard deviation, P-value and more
  • MySQL Basics and Introduction

    In this module, basic introductions such as what MySQL is all about, its origin, its uses as well as its importance – why we need it as programming for data processing – and its advantages and disadvantages will be discussed. You will examine the basis of databases, in general, to understand their functionalities and learn to install and use MySQL.

    MySQL Practical Examples and Projects

    In this module, you will begin to experiment with MySQL. Starting with the basics of setting up databases, tables, importing files, etc, and advancing onto working with big data and large databases. Several case studies will be examined and projects will be practised. You will also learn to install Mongo Database.

    Data and Statistics

    In this module, basic introductions to data and statistics will be examined. You will learn about data types including their classifications and review several ways in which to present your data. Other topics such as standard deviation, practical statistics, data distribution, hypothesis testing, and machine learning will as well be explained.

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      MySQL and Statistics for Data Analysis
      MySQL and Statistics for Data Analysis
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