When you enroll through our links, we may earn a small commission—at no extra cost to you. This helps keep our platform free and inspires us to add more value.
Data Analysis and Business Intelligence with Python & SQL
Practical Data Analytics & Business Intelligence with: SQL Matplotlib Python Excel Power BI Pandas
This Course Includes
udemy
3.2 (4 reviews )
10.5 total hours 
english
Online - Self Paced
course
Udemy
About Data Analysis and Business Intelligence with Python & SQL
In business, being able to understand, harness, and use data is no longer a skill reserved for a handful of well-paid analysts. It's becoming an essential part of many roles.
If that sounds daunting, don't worry. There is a growing set of tools designed to make data analysis accessible to everyone, in this huge-value, four-course Data Analysts Toolbox bundle we look in detail at three of those tools: Excel, Python, and Power BI.
In isolation Excel, Python, and Power BI are useful and powerful. Learn all three and you are well on your way to gaining a much deeper understanding of how to perform complex data analysis.
This Data Analysts Toolbox bundle is aimed at intermediate Excel users who are new to Python and Power BI. All courses include practice exercises so you can put into practice exactly what you learn.
What Can SQL do?
SQL can execute queries against a database
SQL can retrieve data from a database
SQL can insert records into 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
Power BI
What is Power BI and why you should be using it?
To import CSV and Excel files into Power BI Desktop.
How to use Merge Queries to fetch data from other queries.
How to create relationships between the different tables of the data model.
All about DAX including using the COUTROWS, CALCULATE, and SAMEPERIODLASTYEAR functions.
All about using the card visual to create summary information.
How to use other visuals such as clustered column charts, maps, and trend graphs.
How to use Slicers to filter your reports.
How to use themes to format your reports quickly and consistently.
How to edit the interactions between your visualizations and filter at visualization, page, and report level.
What You Will Learn?
- Core SQL - the INTO statement for creating new tables and using the CASE statement to compute new columns based on conditions.
- Intermediate SQL - using window functions such as ROW_NUMBER, RANK, PARTITION, and learning running totals to increase the functionality of datasets.
- Perform Data Analysis with Microsoft SQL.
- Intermediate SQL - understanding the importance of subquerying, views, and variables in SQL data analysis as well as the importance of stored procedures.
- Core SQL - the SQL interface, navigation, importing data for analysis.