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

Data Analysts' Toolbox - Excel, Python, Power BI, PivotTables, Alteryx, Qlik Sense, R, Tableau: Build End-to-End Data Analytics Skills with Excel, Python, Power BI, Tableau & More

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Profile Icon Simon Sez IT
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zł600.99
Video Dec 2020 46hrs 18mins 1st Edition
Video
zł600.99
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Free Trial
Arrow left icon
Profile Icon Simon Sez IT
Arrow right icon
zł600.99
Video Dec 2020 46hrs 18mins 1st Edition
Video
zł600.99
Subscription
Free Trial
Video
zł600.99
Subscription
Free Trial

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Key benefits

  • All-in-one training across Excel, Power BI, Python, Tableau, R, Alteryx, and Qlik Sense
  • Real-world projects with hands-on practice for every major data analytics tool
  • Structured modules from basics to advanced for career-ready data skills

Description

This course offers a complete journey through the modern data analyst’s toolset, covering Excel PivotTables, Power BI, Power Query, Python, Alteryx, Tableau, Qlik Sense, and R. Start with advanced Excel techniques—from data importing and cleaning to dashboards and charts—then move into Power Query and DAX to automate and model data. Python is introduced step by step, guiding learners through basic programming, error handling, and scripting for data tasks. Next, explore Alteryx for workflow automation and predictive analytics, build interactive dashboards in Power BI, and use DAX measures for dynamic reporting. Learn Qlik Sense for associative data modeling and storytelling, and R programming for data science basics and mini-projects. Visual storytelling is reinforced through Tableau, teaching data blending, expressions, and dashboard design. With practical exercises and real-world scenarios, this course ensures learners build cross-platform fluency and confidence in transforming raw data into meaningful insights across industries.

Who is this book for?

This course is designed for aspiring data analysts, business intelligence professionals, and upskilling professionals from finance, marketing, HR, or operations. Learners should have basic familiarity with Excel and data handling. No prior programming experience is needed, making it suitable for beginners and intermediates alike.

What you will learn

  • Create advanced PivotTables and dashboards in Excel
  • Automate tasks using Python scripts and functions
  • Build interactive Power BI and Tableau visualizations
  • Design workflows and models with Alteryx tools
  • Develop data queries and measures using DAX
  • Analyze datasets using R programming techniques

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Dec 23, 2020
Length: 46hrs 18mins
Edition : 1st
Language : English
ISBN-13 : 9781801075329
Category :
Languages :
Concepts :
Tools :

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Product Details

Publication date : Dec 23, 2020
Length: 46hrs 18mins
Edition : 1st
Language : English
ISBN-13 : 9781801075329
Category :
Languages :
Concepts :
Tools :

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Table of Contents

47 Chapters
Advanced PivotTables: Introduction Chevron down icon Chevron up icon
Advanced PivotTables: Importing Data Chevron down icon Chevron up icon
Advanced PivotTables: Preparing Data for Analysis Chevron down icon Chevron up icon
Advanced PivotTables: Creating and Manipulating PivotTables Chevron down icon Chevron up icon
Advanced PivotTables: Formatting PivotTables Chevron down icon Chevron up icon
Advanced PivotTables: Value Field Settings Chevron down icon Chevron up icon
Advanced PivotTables: Sorting and Filtering Chevron down icon Chevron up icon
Advanced PivotTables: Interacting with PivotTables Chevron down icon Chevron up icon
Advanced PivotTables: Calculations Chevron down icon Chevron up icon
Advanced PivotTables: Pivot Charts Chevron down icon Chevron up icon
Advanced PivotTables: Conditional Formatting Chevron down icon Chevron up icon
Advanced PivotTables: Dashboards Chevron down icon Chevron up icon
Advanced PivotTables: Summary Chevron down icon Chevron up icon
Introduction to PowerPivot and PowerQuery 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 the Data Model Chevron down icon Chevron up icon
Introduction to DAX Chevron down icon Chevron up icon
More DAX Measures Chevron down icon Chevron up icon
Using PivotTables and Slicers Chevron down icon Chevron up icon
PowerPivot, PowerQuery and DAX: Closing 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 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
Python: 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: Automate Data Updates For 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
Exercise 10 - Dataframe
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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