Data Analysts Toolbox: Excel, Python, Power BI /

Discover how to use Excel, Python, and Power BI, to perform complex data analysis About This Video Become confident in cleaning, sorting, and linking data from various sources Learn how to write flawless Python scripts for updating the data in a spreadsheet Get ready to create amazing visuals, such...

Full description

Saved in:
Bibliographic Details
Main Author: IT, Simon (Author)
Corporate Author: Safari, an O'Reilly Media Company
Format: Electronic Video
Language:English
Published: Packt Publishing, 2020.
Edition:1st edition.
Subjects:
Online Access:CONNECT
Description
Summary:Discover how to use Excel, Python, and Power BI, to perform complex data analysis About This Video Become confident in cleaning, sorting, and linking data from various sources Learn how to write flawless Python scripts for updating the data in a spreadsheet Get ready to create amazing visuals, such as clustered column charts, maps, and trend graphs In Detail Being able to understand, harness, and use data is no longer a skill reserved for a handful of well-paid data analysts. It's becoming an essential part of many roles. Learning data analysis can sound daunting, but don't worry. This video 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 grips with Power Pivot, Power Query, and Data Analysis Expressions (DAX) and discover how to use Power BI to create striking data visualization. Towards the end, you will learn the Python programming concepts that will help you to write error-free Python scripts for automatically updating data in a spreadsheet. By the end of this course, you will be able to confidently analyze and visualize huge sets of data using Python, Power Query, Power Pivot, and Power BI.
Physical Description:1 online resource (1 video file, approximately 21 hr., 13 min.)
ISBN:9781801075329
1801075328