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Data Analysts' Toolbox - Excel, Python, Power BI, Alteryx, Qlik Sense, R, Tableau
Data Analysts' Toolbox - Excel, Python, Power BI, Alteryx, Qlik Sense, R, Tableau

Data Analysts' Toolbox - Excel, Python, Power BI, Alteryx, Qlik Sense, R, Tableau: Learn modern ways to analyze huge buckets of data to make informed business decisions

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Profile Icon Simon Sez IT
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$19.99 per month
Video Nov 2022 46hrs 14mins 1st Edition
Video
$134.99
Subscription
Free Trial
Renews at $19.99p/m
Arrow left icon
Profile Icon Simon Sez IT
Arrow right icon
$19.99 per month
Video Nov 2022 46hrs 14mins 1st Edition
Video
$134.99
Subscription
Free Trial
Renews at $19.99p/m
Video
$134.99
Subscription
Free Trial
Renews at $19.99p/m

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Key benefits

  • 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

Description

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-Power-BI-Alteryx-Qlik-Sense-R-Tableau

Who is this book for?

This course is aimed at intermediate Excel users who want to learn Python, Power BI, Power Pivot, and advanced pivot tables to analyze and visualize data. This course is also designed to get introduced to Alteryx, Qlik Sense, R programming, and Tableau Desktop. Working knowledge of Excel and understanding of data analytics are required to get started with this course.

What you will learn

  • 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

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Last updated date : Nov 29, 2022
Publication date : Dec 23, 2020
Length: 46hrs 14mins
Edition : 1st
Language : English
ISBN-13 : 9781801075329
Category :
Languages :
Concepts :
Tools :

What do you get with a Packt Subscription?

Free for first 7 days. $19.99 p/m after that. Cancel any time!
Product feature icon Unlimited ad-free access to the largest independent learning library in tech. Access this title and thousands more!
Product feature icon 50+ new titles added per month, including many first-to-market concepts and exclusive early access to books as they are being written.
Product feature icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Product feature icon Thousands of reference materials covering every tech concept you need to stay up to date.
Subscribe now
View plans & pricing

Product Details

Last updated date : Nov 29, 2022
Publication date : Dec 23, 2020
Length: 46hrs 14mins
Edition : 1st
Language : English
ISBN-13 : 9781801075329
Category :
Languages :
Concepts :
Tools :

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Frequently bought together


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Total $ 304.97
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Table of Contents

47 Chapters
Advanced Pivot Tables: Introduction Chevron down icon Chevron up icon
Advanced Pivot Tables: Importing Data Chevron down icon Chevron up icon
Advanced Pivot Tables: Preparing Data for Analysis Chevron down icon Chevron up icon
Advanced Pivot Tables: Creating and Manipulating Pivot Tables Chevron down icon Chevron up icon
Advanced Pivot Tables: Formatting a Pivot Table Chevron down icon Chevron up icon
Advanced Pivot Tables: Value Field Settings Chevron down icon Chevron up icon
Advanced Pivot Tables: Sorting and Filtering Chevron down icon Chevron up icon
Advanced Pivot Tables: Interacting with a Pivot Table Chevron down icon Chevron up icon
Advanced Pivot Tables: Calculations Chevron down icon Chevron up icon
Advanced Pivot Tables: Pivot Charts Chevron down icon Chevron up icon
Advanced Pivot Tables: Conditional Formatting Chevron down icon Chevron up icon
Advanced Pivot Tables: Dashboards Chevron down icon Chevron up icon
Advanced Pivot Tables: Summary Chevron down icon Chevron up icon
Introduction to Power Pivot and Power Query Chevron down icon Chevron up icon
Getting Started with Power Query Chevron down icon Chevron up icon
Useful Power Query Features Chevron down icon Chevron up icon
Creating a Data Model Chevron down icon Chevron up icon
Introduction to Data Analysis Expressions (DAX) Chevron down icon Chevron up icon
More Data Analysis Expressions (DAX) Measures Chevron down icon Chevron up icon
Using Pivot Tables and Slicers Chevron down icon Chevron up icon
Power Pivot, Power Query, and Data Analysis Expressions (DAX): Summary Chevron down icon Chevron up icon
Introduction to Power BI Chevron down icon Chevron up icon
Power BI: Getting and Transforming Data Chevron down icon Chevron up icon
Power BI: Data Modelling Chevron down icon Chevron up icon
Introduction to Data Analysis Expressions (DAX) Measures Chevron down icon Chevron up icon
Power BI: Adding Visualizations to Your Report Chevron down icon Chevron up icon
Power BI: Report Design Chevron down icon Chevron up icon
Power BI: Editing Interactions and Filters Chevron down icon Chevron up icon
Power BI Service Chevron down icon Chevron up icon
Power BI: Summary Chevron down icon Chevron up icon
Python: The Workplace Tech Divide Chevron down icon Chevron up icon
Introduction to Python Chevron down icon Chevron up icon
Basic Data Types Chevron down icon Chevron up icon
Python Built-In Functions Chevron down icon Chevron up icon
Variables and Functions Chevron down icon Chevron up icon
Errors and Debugging Chevron down icon Chevron up icon
Python Keywords Chevron down icon Chevron up icon
If-Else Statements Chevron down icon Chevron up icon
Storing Complex Data Chevron down icon Chevron up icon
Python Modules Chevron down icon Chevron up icon
Installing Python and Modules Chevron down icon Chevron up icon
Project: Automating Data Updates in a Spreadsheet Chevron down icon Chevron up icon
Summary Chevron down icon Chevron up icon
Introduction to Alteryx for Beginners Chevron down icon Chevron up icon
Getting Started in Qlik Sense - Beginner to Master Chevron down icon Chevron up icon
R Programming for Beginners: Includes R Mini-Project! Chevron down icon Chevron up icon
Welcome!
Course Overview
Why R?
R for Data Science
Preparing Workspace
Guide to RStudio
Exercise 1 - Introduction to R
Operations-and-Variables
Data Types in R
Coding Style
Comments
Exercise 2 - Basics of R programming
Vector Creation
Selecting Components from a Vector
Labeling Vector Elements
Calculations with Vectors
Base R Functions to Use with Vectors
Comparing Two Vectors
Modifying Vector Components
Exercise 3 - Vectors
Matrix Introduction and Creation
Matrix Metrics and Naming
Selecting Elements
Matrix Arithmetic
Matrices Operations
Matrix Modification
Exercise 4 - Matrices
Array Introduction and Creation
Array Similarities to Matrices
Other Array Operations
Exercise 5 - Arrays
List Introduction and Creation
List Naming
Selecting List Elements
List Manipulation
List Operations
Exercise 6 - Lists
Factor Introduction and Creation
Setting Factor Levels
Ordering Factors
Converting Factors
Other Considerations
Exercise 7 - Factors
Loop Introduction and Creation
If-Else Statements
For Loops
While Loops
Repeat Loops
Loop Comparison
Exercise 8 - Loops
Function Introduction and Creation
Function Arguments
Nested Functions
Global Versus Local Variables
Exercise 9 - Function
Dataframe Introduction and Creation
Tidyverse
Tibbles
Tidy Data
Dplyr and Data Transformation
Summarizing Dataframes
Introduction to Mini-Project
Importing Data
Comprehending the Dataset
Tidying Data
Grouping Time Series Analysis Data
Data Visualization
Statistical Analysis
Exercise 11 Mini-Project
Great Job and Farewell!
Tableau for Beginners - Getting Started in Tableau Chevron down icon Chevron up icon
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