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Practical Data Analytics & Business Intelligence with: MySQL SQL MicrosoftSQL PostgreSQL Excel Power BI Tableau
Data analysis is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information,informing conclusions, and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science, and social science domains.In today's business world, data analysis plays a role in making decisions more scientific and helping businesses operate more effectively.
Business intelligence (BI) combines business analytics, data mining, data visualization, data tools and infrastructure, and best practices to help organisations to make more data-driven decisions. In practice, you know you’ve got modern business intelligence when you have a comprehensive view of your organisation’s data and use that data to drive change,eliminate inefficiencies and quickly adapt to market or supply changes.
SQL is a standard language for accessing and manipulating databases.
What is SQL?
SQL stands for Structured Query Language
SQL lets you access and manipulate databases
SQL became a standard of the American National Standards Institute (ANSI) in 1986, and of the International Organization for Standardization (ISO) in 1987
What Can SQL do?
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
Microsoft SQL Server is a relational database management system developed by Microsoft.
Transact-SQL (T-SQL) is Microsoft's proprietary extension to the SQL (Structured Query Language) used to interact with relational databases
MySQL is a DBMS, or database management system. It is developed, supported and distributed by Oracle, but since it is open-source it is freely available to anyone under the GPL. MySQL databases are relational, meaning that the data is split up between tables. MySQL is very fast and lightweight so you can run it alongside your other applications on a desktop or laptop. It can also be scaled up to take advantage of all the CPU power and memory available on a dedicated machine.
PostgreSQL is a powerful, open source object-relational database system that uses and extends the SQL language combined with many features that safely store and scale the most complicated data workloads.
Microsoft Excel is one of the top tools for data analysis and the built-in pivot tables are arguably the most popular analytic tool.
Power BI is Microsoft's interactive data visualization and analytics tool for business intelligence (BI).
Tableau is a powerful and fastest data visualization tool used in the Business Intelligence Industry. It helps in simplifying raw data in a very easily understandable format.
In this course we will be performing data analysis and business intelligence using MySQL, SQL, Microsoft SQL ,PostgreSQL , Excel, Power BI and Tableau.