Data Analysts Toolbox: Excel, Python, Power BI, PivotTables , Learn Advanced Pivot Tables, Power Query, Power Pivot, Power BI, and Python in this four-course bundle.
Course Description
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.
Here’s what each course covers:
Introduction to Python
- The basic data types in Python – Strings, Integers, Floats, and Boolean
- All about Pythons built-in functions
- How Variables and Functions work in Python
- How to debug errors in Python
- All about Python Keywords
- How to use IF-Else Statements in Python
- All about storing complex data, including Lists and Dictionaries
- All about Python Modules and how to install them
- How to install Python locally
- How to write your first script in Python
- To complete your first Python project
Advanced PivotTables
- How to do a PivotTable (a quick refresher)
- How to combine data from multiple worksheets for a PivotTable
- Grouping, ungrouping and dealing with errors
- How to format a PivotTable, including adjusting styles
- How to use the Value Field Settings
- Advanced Sorting and Filtering in PivotTables
- How to use Slicers, Timelines on multiple tables
- How to create a Calculated Field
- All about GETPIVOTDATA
- How to create a Pivot Chart and add sparklines and slicers
- How to use 3D Maps from a PivotTable
- How to update your data in a PivotTable and Pivot Chart
- All about Conditional Formatting in a PivotTable
- How to create amazing looking dashboards
Power Pivot, Power Query and DAX
- How to get started with Power Query
- How to connect Excel to multiple workbooks
- How to get data from the web and other sources
- How to merge and append queries using Power Query
- How the Power Pivot window works
- How to set up and manage relationships in a data model
- How to create a PivotTable to display your data from the Power Pivot data model
- How to add calculated columns using DAX
- How to use functions such as CALCULATE, DIVIDE, DATESYTD in DAX
- All about creating Pivot Charts and PivotTables and using your data model
- How to use slicers to adjust the data you display
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.
***Exercise and demo files and project files included***
This mega-value bundle includes:
- 21+ hours of video tutorials
- 200+ individual video lectures
- Exercise files to practice what you learned
- Certificate of completion
Here’s what our students are saying…
“The instructors have explained everything amazing and the resources are super helpful.”
– Oscar
“This course is very relevant in my line of work. The facilitators are detailed in their explanation & don’t rush through the information.”
– Thulani
“My name is Kenvis and I have a knowledge in IT but never thought of specializing in Data Analytics before. This was so exciting and I am now anxious to learn more.”
– Kenvis
“Thank you for such a wonderful teaching. This is a great learning experience for me.”
– Ankush
