Data is like ideas, they're everywhere and useless, unless you know how to use them.
I do believe that every detail in our daily life can, should, and will be captured somehow through many techniques like: SNS, DNS history, spiders and robots, hopefully aliens, sensors, and security cameras...
That data will be stored somewhere, sadly mostly by multi-billion corporates.
At some point they can, if they have not already, do some data lineage, trace it, and open it. Then they will have the truth of everything, laying there.
Luckily, they need someone to lead those teams who will do the cleaning and the visualization of that data. So I will be ready for that, just send me a message.
Data Analysis in Excel
The Excel Data Model
Importing Data from a CSV File
Importing Data from Databases
Create a Date Table in Excel Data Model
Creating and Formatting Measures
Using Advanced DAX Functions
Importing Data from a Formatted Excel Report
Lab: Advanced Text Query
Visualizing Data in Excel
Using Excel with Power BI
DAT205x Introduction to Data Analysis using Excel
1. Introduction to Reporting in Excel
2. Excel Tables
3. Basic Pivot Tables
5. Profitability Analysis and Finding Anomalies
6. Comparing Year over Year in Pivot Tables
7. Reporting Hierarchical Data
8. Introduction to multi-table pivot tables and the data model
DAT201x Querying with Transact-SQL
Module 1: Introduction to Transact-SQL
Module 2: Querying Tables with SELECT
Module 3: Querying Multiple Tables with Joins
Module 4: Using Set Operators
Module 5: Using Functions and Aggregating Data
Module 6: Using Subqueries and APPLY
Module 7: Using Table Expressions
Module 8: Grouping Sets and Pivoting Data
Module 9: Modifying Data
Module 10: Programming with Transact-SQL
Module 11: Error Handling and Transactions
Windows 10: Must think before click.
Internet (Social Media)
A Review about Windows 10.
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