Being able to understand, harness, and use data is no longer a skill reserved for a handful of well-paid data analysts. It is becoming an essential part of many roles. This course unboxes the data analyst toolbox bundle, enabling you to learn the tools needed for data analysis.
The course starts by taking you through the topics of advanced pivot tables. You will learn how to create and manipulate pivot tables, import data from Access and Excel into the tables, prepare data for analysis, sort and filter the data, create an interactive dashboard, and a lot more. Next, you will get to grips with Power Pivot, Power Query, and Data Analysis Expressions (DAX) and discover how to use Power BI to create striking data visualization.
You will then learn the Python programming concepts that will help you write error-free Python scripts for automatically updating data in a spreadsheet.
Next, you will get introduced to Alteryx, Qlik Sense, R programming, and finally, learn how to create stunning visualizations in Tableau Desktop.
By the end of this course, you will be able to confidently analyze and visualize huge sets of data using Excel, Python, Power BI, Alteryx, Qlik Sense, R, and Tableau.
All the resources for this course are available at: https://github.com/PacktPublishing/Data-Analysts-Toolbox-Excel-Python-P…
Discover how to use 3D maps in a pivot table
Create pivot charts and pivot tables using your data model
Create stunning and interactive dashboards with Power BI
Learn to master Qlik Sense
Learn R programming using R and R Studio
Learn to create stunning visualizations in Tableau Desktop