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Diploma in MySQL and Statistics for Data Analysis
MySQL is a database management system used in multiple applications for several purposes. In most cases it is used in combination with web development and data science. Are you excited every time you manage and manipulate data and dream of having more operations you can use? This course on MySQL and statistics will provide you with insights and broaden your knowledge. The lessons start with the basics of MySQL such its origin uses and importance for data analyses. Then the logic behind SQL and SQL queries along with database management systems (DBMS) will be discussed. The importance of DBMS will be reviewed as well as the differences between relational (SQL) and non-relational (NoSQL) databases. You will also learn which programming language is used in these databases. Next we discuss the advantages and disadvantages of MySQL and have an overview of what is to be expected as the outcome after data analyses. The detailed process for installing MySQL - from downloading the required applications to installing them on your computer and using them - will be explained.We then explore various activities in MySQL where you will learn to start and stop the MySQL server from within the integrated development environment (IDE) as well as using the command prompt. You will make use of several MySQL items such as statements queries operators functions clauses variables tables and the foreign and primary keys to carry out simple data tasks. You will also learn to create MySQL databases and columns modify tables arrange sort change data and much more. Afterwards an analysis of data types will be done and you will experiment with practical examples from several case studies. You will also examine a brief summary of MongoDB such as its importance benefits and disadvantages. Lastly you will get deeper insights concerning data by exploring data types range and classifications as well as the centre of numerical data and its importance. Several ways to present your data will be explained along with the principles of standard deviation and how to calculate it using ranges of data. You will also compare symmetric and skewed data shapes and learn about outliers and how to deal with them. Subsequently we will discuss the distribution of data such as the normal distribution sampling distribution as well as T and Z distribution. The confidence level interval will also be broken down with examples showing how to calculate it manually. Additionally you will study hypothesis testing with examples and case studies. You will learn to calculate P-Values manually and using Microsoft Excel. A bonus lesson on machine learning is included in the latter section of the course. If youβre eager to master data analytics and enhance your MySQL proficiency then seize this exciting opportunity and sign up today.
Disclaimer: Product information, including title, description, and images, is sourced/provided by our affiliate partner, Alison US CA.
Disclaimer: Some of the links on this website are affiliate links, meaning we may earn a commission if you click through and make a purchase. This comes at no additional cost to you.
By clicking the button above, you acknowledge that you will be redirected to a third-party website and agree to their terms and conditions.
Product information, including title, description, and images, is sourced/provided by our affiliate partner, Alison US CA.
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Share this product with a friend:
Refer a friend and earn 0.05 CEC when they click the link, plus an additional 1.00 CEC if they register. Share this Product and boost your earnings together!
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