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Content
15.0 hours
Lessons
163

Microsoft Power BI: The Complete Master Class

Professionally Analyze Data & Turn Them Into Meaningful Reports

By Nikolai Schuler | in Online Courses

Learn, step-by-step, everything that is important in Power BI from scratch. You will learn how to work with Power BI, how to connect the various data sources with Power BI, how to transform and structure the data up to the creation of impressive reports with practical tips on storytelling with data. After reporting, you will learn how to publish your reports in the Power BI Cloud and how to effectively share your results with the right people. This course takes you by the hand and leads you from a Power BI beginner to advanced.

4.6/5 average rating: ★ ★ ★ ★

  • Access 163 lectures & 15 hours of content 24/7
  • Create professional, high-quality reports from scratch
  • Confidently use the tools in Power BI
  • Develop your skills on your own project
  • Understand the entire work workflow from start to finish
  • Learn from a professional data scientist & BI consultant
  • Have the knowledge you need to delve deeper into Power BI & deal with even more advanced features
  • Integrate various data sources from Excel to databases
NOTE: Software NOT included.
Nikolai Schuler | Professional Data Scientist und BI Consultant
4.6/5 Instructor Rating: ★ ★ ★ ★

In his work as a data scientist and BI consultant, Nikolai saw that there's a lot of new tools that bring a lot of benefits. Yet it is not always easy to learn working with these tools beside the daily other tasks we have to do. For that reason, he decided to create these courses that are high quality on the one hand and easy to learn with on the other hand. These courses now have reached people in more than 130 countries and he is really glad to help spread these IT skills and enable people to pursue the career they are after.

Important Details

  • Length of time users can access this course: lifetime
  • Access options: desktop & mobile
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels
  • Have questions on how digital purchases work? Learn more here

Requirements

  • Microsft Power BI Desktop & Cloud

Course Outline

  • Your First Program
  • Getting started
    • Welcome! - 0:22
    • What is Power BI? - 3:01
    • Download & Installing - 4:06
    • The interface (Quick Tour) - 2:43
    • Mini Project - Transform Data - 6:52
    • Mini Project - Visualizing Data - 5:07
    • Mini Project - Data Model - 7:21
    • What will you learn in this course? - 5:02
    • All source files & course slides
  • Preparing the course project
    • Working with the attached project files - 3:51
  • Data Transformation - Beginner to Intermediate
    • Exploring the Query Editor - 6:11
    • Connecting to our data source - 6:48
    • Editing and removing rows - 8:10
    • Changing data types - 8:24
    • Replace Values - 3:27
    • Close & Apply - 3:29
    • Connecting Power BI to a csv file - 3:21
    • Connecting to a Web Page - 5:04
    • Extract Characters - 6:18
    • Splitting & Merging Columns - 9:22
    • Create a conditional column - 5:52
    • A little note on the next lecture!
    • Columns from examples - 8:38
    • Merging Queries - 17:23
    • Pivoting & Unpivoting - 5:43
    • Appending Tables - 8:20
    • Practise & Solution: PopulationTable - 14:30
    • Fact Dimension Model - 9:19
    • Practise: Load Dimension Table - 3:48
    • Organizing our Queries in Groups - 2:59
    • Text used in the next lecture
    • Entering data manually - 4:43
    • Creating an index column - 3:04
    • Workflow & more transformations - 4:38
    • Module Summary - 5:05
    • Excersice: Instructions - 1:41
    • Exercise: Solution - 11:09
  • Data Transformation - Advanced
    • Advanced Editor - Best practise - 8:43
    • References vs. Duplicates - 9:50
    • Enable Disable Load & Report Refresh - 4:31
    • Group by - 4:47
    • Mathematical Operations - 4:54
    • Run R Script - 14:36
    • Using Parameters to dynamically transform data - 6:28
    • M-language Basics - 6:40
    • M-Language Values, Lists & Tables - 13:57
    • M-Language Functions - 13:13
    • M-Language More functions & steps - 5:02
    • Exercise: Instructions - 0:55
    • Exercise: Solution - 4:31
  • Creating the Data Model
    • Understanding relationships - 5:07
    • Create & Edit relationships - 6:16
    • One-to-Many and One-to-One Relationship - 5:49
    • Many-to-Many relationship & Crossfilter direction - 8:15
    • Cross filter direction - 5:56
    • Activate & Deactivate relationships - 5:52
    • Section Summary - 3:04
    • Exercise 3 - Create Model - 2:27
    • Exersice 3 - Solution - 1:37
  • Data Visualization
    • Our first visual - 7:57
    • The format tab - 11:52
    • Tables - 9:53
    • Conditional Formatting - 8:48
    • The pie chart - 5:32
    • All about the Filter visual - 12:32
    • Filter pane for developers - 8:52
    • Cross filtering & Edit interactions - 3:56
    • Exercise 4 - Instructions - 1:00
    • Exercise 4 - Solution - 6:10
    • Syncing slicers across pages - 7:06
    • Drill down - 8:29
    • Drill through - 6:50
    • Tree map visual - 7:06
    • Decomposition tree - 5:23
    • Matrix visual - 5:17
    • Edit pages - 7:15
    • Buttons & Actions - 9:28
    • Bookmarks to customize your report - 9:31
    • Analytics and Forecast with Line Charts - 10:12
    • Working with Custom Visuals - 7:17
    • R scripts for the next lecture
    • Get data using R & R Script Visual - 8:26
    • Asking Questions - Q & A Visual - 3:45
    • Wrap up Data Visualization - 8:09
  • Power BI & Python
    • Python in Power BI: Plan of attack - 2:57
    • Setting up Python for Power BI - 3:03
    • Transforming data using Python scripts - 11:24
    • Python script I (for the next lecture)
    • Creating visualizations using Python - 7:55
    • Python script II (for the next lecture)
    • Violine plots, ridge plots & correlation analysis plots - 7:13
    • Python script III (for the next lecture)
    • Machine Learning & Text Analysis using Python - 9:53
    • Performance & Troubleshooting - 3:27
  • DAX - The Essentials
    • Welcome to DAX - 2:32
    • Let's look at our data - 4:09
    • DAX Cheat Sheet
    • All files for the DAX sections
    • Measures vs. Calculated columns - 14:37
    • Automatically create a date table - 8:17
    • CALENDAR - 5:08
    • Complete date table with additional features - 3:43
    • Script to be used in your future projects
    • Key Measures Table - 3:19
    • Aggregation functions - 6:07
    • COUNT and its variations - 14:05
    • SUMX - How does it work - 8:32
    • DAX Exercise 1
    • DAX Solutions 1
  • DAX - CALCULATE function
    • CALCULATE Basics - 10:53
    • FILTER - 6:31
    • ALL - 7:53
    • ALLSELECTED - 3:13
    • ALLEXCEPT - 7:24
    • DAX Exercise 2
    • DAX Solution 2
  • DAX - Time Intelligence
    • TimeIntelligence & DATEADD - 11:18
    • Year-to-Date & Month-to-Date - 5:19
    • TOTALYTD VS DATESYTD - 8:54
    • DATESBEETWEEN - 5:15
  • DAX - Operators, Variables & Quickmeasures
    • Logical Operators - 9:27
    • Commenting and Formatting - 5:48
    • Variables - 9:47
    • Quickmeasures - How to use them in a smart way - 4:46
  • Visualize effectively & Tell a story with your data
    • Intro - Best Practises - 1:01
    • Best practise #1 - Show Empathy & Identify the requirements - 2:37
    • Best practise #2 - Finding the most suitable KPIs - 2:18
    • Best Practise #3 - Choose an effective visualization - 3:39
    • Best Practise #4 Make use of natural reading pattern - 2:58
    • Best practise # 5 - Tell a story using visual cues - 5:21
    • Best practise # 6 - Avoid Chaos & Group information - 2:17
    • Wrap up - Stroytelling with data - 1:41
  • Power BI Cloud - Power BI Service
    • How to go from here? - 3:13
    • Power BI Pro vs. Premium & Registration - 3:48
    • An alternative if you don't have a business email
    • Exploring the Workspaces - 4:10
    • Discovering the workspaces - 2:31
    • Note on the next lecture
    • Connecting Power BI Desktop & Cloud - 4:00
    • Understanding Datasets & Reports - 3:24
    • Working with the reports - 3:53
    • Updating the reports from Power BI Desktop - 4:29
    • Creating and working with Workspaces - 7:13
    • Installing & Using a Data Gateway - 12:53
    • Get Quick Insights - 2:33
    • Creating Dashboards - 4:05
    • Sharing our results through Apps - 10:09
    • Power BI Mobile App - 5:26
    • Creating the layout for the Mobile App - 3:46
    • Cloud Wrap up - 7:13
  • Row-Level Security
    • Intro - 3:20
    • Creating a Row-Level Security - 4:51
    • Row-Level Security in the Cloud - 3:31
    • Row-Level Security & Data Model - 4:38
    • Dynamic Row-Level Security - 7:28
    • Dynamic Many-to-Many RLS - 4:04
    • Hierarchical Row-Level Security - 12:55
  • Additional data sources
    • JSON & REST API - 9:57
    • Setting up a local MySQL database - 14:01
    • Connecting to a SQL database - 4:59
    • Power BI & SQL database (PostgreSQL) - 5:01
  • Congratulations & how to stay up to date
    • Congratulations & Next steps - 6:24
    • More data to practise

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11.0 hours
Lessons
89

Statistics & Mathematics for Data Science and Data Analytics

Quickly & Easily Learn the Statistical Knowledge You Need for a Career as a Data Scientist or a Data Analyst

By Nikolai Schuler | in Online Courses

Would you like to develop in the direction of data science or data analytics? Good news, you don't need a degree in math - this course gives you the hands-on knowledge you need for data science in statistics and math. If you intend to become a data scientist or data analyst, it is necessary that you have a solid foundation in statistics and probability theory. This course gives you the chance to master the most important concepts in statistics and probability theory in a systematic way. In real application examples, you will quickly and easily learn the statistical knowledge you need for a career as a data scientist or data analyst.

4.6/5 average rating: ★ ★ ★ ★

  • Access 89 lectures & 11 hours of content 24/7
  • Master statistics for data science & data analysis
  • Master descriptive statistics & probability theory
  • Learn more about descriptive statistics, hypothesis tests, regression analysis, analysis of variance, & a lot more
Nikolai Schuler | Professional Data Scientist und BI Consultant
4.6/5 Instructor Rating: ★ ★ ★ ★

In his work as a data scientist and BI consultant, Nikolai saw that there's a lot of new tools that bring a lot of benefits. Yet it is not always easy to learn working with these tools beside the daily other tasks we have to do. For that reason, he decided to create these courses that are high quality on the one hand and easy to learn with on the other hand. These courses now have reached people in more than 130 countries and he is really glad to help spread these IT skills and enable people to pursue the career they are after.

Important Details

  • Length of time users can access this course: lifetime
  • Access options: desktop & mobile
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: beginner
  • Have questions on how digital purchases work? Learn more here

Requirements

  • Any device with basic specifications

Course Outline

  • Let's get started!
    • Welcome! - 2:05
    • What will you learn in this course - 5:50
    • Download: Formula cheat sheet
  • Descriptive Statistics
    • Intro - 2:37
    • Mean - 6:00
    • Median - 4:57
    • Mode - 3:42
    • Mean or Median? - 7:30
    • Skeweness - 8:22
    • Skewness Practise - 1:19
    • Skewness Solution - 3:25
    • Range and IQR - 9:40
    • Sample vs. population - 5:01
    • Variance & Standard Deviation - 10:39
    • Impact of scaling & shifting - 18:33
    • Statistical Moments - 5:48
  • Distributions
    • What is a distribution - 9:52
    • Normal distribution - 8:53
    • Z-Scores - 12:46
    • Exercise - Normal distribution - 3:42
    • Solution - Normal distribution - 7:12
    • More distributions
  • Probability Theory
    • Intro - 0:50
    • Probability - Basics - 9:47
    • Calculating Simple Probability - 5:20
    • Exercise: Simple Probability - 1:23
    • Quick solution: Simple Probability - 0:39
    • Detailed solution: Simple probability - 6:11
    • The addition rule - 12:45
    • Exercise: Addition rule - 2:20
    • Quick solution: Addition rule - 0:55
    • Detailed solution: Addition rule - 7:20
    • Multiplication rule - 10:50
    • Exercise: Multiplication rule - 0:39
    • Solution: Multiplication rule - 3:19
    • Bayes Theorem - 9:37
    • Bayes Example - 6:42
    • Expected value - 10:49
    • Exercise: Expected value - 1:07
    • Solution: Expected value - 2:44
    • Law of large numbers - 7:53
    • Central Limit Theorem - Theory - 10:07
    • Central Limit Theorem - Intuition - 7:31
    • Central Limit Theorem - Challenge - 10:55
    • Exercise: Central Limit Theorem - 1:49
    • Solution: Central Limit Theorem - 14:12
    • Binomial distribution - 15:49
    • Poisson distribution - 16:37
    • Real life problems - 15:29
  • Hypothesis testing
    • Intro - 1:12
    • What is an hypothesis? - 18:50
    • Significance level and p-value - 6:12
    • Type I and type II error - 5:02
    • Confidence interval and margin of error - 14:46
    • Excursion: Calculating the sample size & power - 10:55
    • Performing the hypothesis test - 19:38
    • Exercise: Hypothesis test - 1:19
    • Solution: Hypothesis test - 5:35
    • t-test and t-distribution - 13:29
    • Hypothesis proportion testing - 10:03
    • Important p-z pairs - 8:09
  • Regressions
    • Regression intro - 2:06
    • Linear Regression - 10:46
    • Correlation coefficient - 10:08
    • Exercise: Correlation - 1:46
    • Solution: Correlation - 7:32
    • Exercise: Regression - 0:31
    • Solution: Regression - 6:36
    • Residual, MSE & MAE - 7:32
    • Exercise: MSE & MAE - 0:52
    • Solution: MSE & MAE - 3:19
    • Coefficient of determination - 12:16
    • Root mean square error - 6:24
    • Exercise: RMSE - 1:00
    • Solution: RMSE - 2:08
  • Advanced regression & machine learning algorithms
    • Multiple Linear Regression - 16:02
    • Overfitting - 5:19
    • Polynomial regression - 13:05
    • Logistic regression - 9:27
    • Decision Trees - 21:06
    • Regression Trees - 14:21
    • Random Forests - 12:38
    • Strategies to deal with missing data - 10:16
  • ANOVA (Analysis of Variance)
    • ANOVA Basics & Assumptions - 5:31
    • One-way ANOVA - 12:25
    • F-Distribution - 10:19
    • Two-way ANOVA - Sum of squares - 15:44
    • Two-way ANOVA - Calculating the f-ratio & conclusions - 11:24
  • Wrap up
    • Congratulations! - 0:40

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9.0 hours
Lessons
133

Alteryx: The Complete Master Class

Everything About Alteryx! Professionally Build Workflows & Analyze Data

By Nikolai Schuler | in Online Courses

Do you want to learn the skills to professionally build workflows and analyze data with Alteryx? Then this is the right course for you. In this course, you will learn everything that is important in Alteryx to become advanced and professional working with the Alteryx Designer.

4.5/5 average rating: ★ ★ ★ ★

  • Understand Alteryx, everything from scratch
  • Learn all the important tools & know when and how to use them properly
  • Connect different data sources, from basics to advanced
  • Create your own workflows & understand how to configure them properly
  • Transform, clean, & analyze data
  • Learn how to create professional reports; automate them & send via email
  • Do advanced analysis using R tools
  • Learn predictive analytics & time series
  • Implement the workflows to extract, transform & load data
Nikolai Schuler | Professional Data Scientist und BI Consultant
4.6/5 Instructor Rating: ★ ★ ★ ★

In his work as a data scientist and BI consultant, Nikolai saw that there's a lot of new tools that bring a lot of benefits. Yet it is not always easy to learn working with these tools beside the daily other tasks we have to do. For that reason, he decided to create these courses that are high quality on the one hand and easy to learn with on the other hand. These courses now have reached people in more than 130 countries and he is really glad to help spread these IT skills and enable people to pursue the career they are after.

Important Details

  • Length of time users can access this course: lifetime
  • Access options: desktop & mobile
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: beginner
  • Have questions on how digital purchases work? Learn more here

Requirements

  • Basic IT knowledge

Course Outline

  • Let's get started!
    • Welcome - 0:30
    • Course overview - 3:19
    • What is Alteryx? - 1:52
    • Download & Installation - 4:15
    • Getting to know the interface - 4:55
  • Data Input & Output
    • Import csv file - 6:14
    • Import multiple files - 3:57
    • Quiz 1: Input Data
    • Browse Tool - 5:37
    • Exercise 1 - 2:48
    • Solution 1 - 2:45
    • Import Excel - 6:24
    • Import txt - 2:48
    • Quiz 2: Importing data
    • Import ZIP - 3:27
    • Manual Input - 3:17
    • Annotations - 2:42
    • Data Output - 6:56
    • DateTime Input - 2:11
    • Quiz 3: Input & Output
    • Exercise 2 - 1:00
    • Solution 2 - 1:35
  • Data Preparation
    • Intro - 1:23
    • Data Cleansing - 4:35
    • Select - 3:27
    • Auto Field - 2:37
    • Quiz 4: Data Preparation
    • Convert Date - 2:44
    • Formula - 7:06
    • Quiz 5: More Data Preparation
    • Record ID - 1:56
    • Exercise 3 - 1:01
    • Solution 3 - 7:28
  • Filtering, Sorting & Grouping
    • Intro - Sorting, Filtering & Sampling - 0:29
    • Sorting - 3:59
    • Filter - 5:26
    • Multi-Row Formula - 5:58
    • Multi-Row Formula - Second example - 5:16
    • Sampling - 5:35
    • Quiz 6: Filter & Sample
    • Unique - 2:50
    • Multi-Field Formula - 4:28
    • Tiles - 8:13
    • An alternative way of filtering & sorting - 3:38
    • Multi-field binning - 7:15
    • Create Samples - 3:39
    • Exercise 4 - 0:39
    • Solution 4 - 5:47
  • Joins
    • Intro & Preparation - 2:51
    • Join - 8:03
    • Join Multiple - 6:54
    • Union - 4:58
    • Find and Replace - 8:04
    • Quiz 7: Join & Union
    • Fuzzy Match - 7:41
    • Make Group Tool - 4:15
    • Append Fields - 2:48
    • Assignment 5 - Instructions - 1:32
    • Assignment 5 - Solution - 10:50
  • Transform
    • Summarize - 5:17
    • Running Total - 3:14
    • Weighted Average - 5:10
    • Cross Tab - 4:57
    • Transpose - 5:05
    • Arrange - 4:30
    • Quiz 8: Transform
    • Assignment 6 - Instructions - 0:52
    • Assignment 6 - Solution - 9:02
  • Reporting
    • Intro - 1:57
    • Table Tool - 8:32
    • Pie Chart - 5:46
    • Bar chart - 5:33
    • Combining multiple visuals in a layout - 6:23
    • Header & Footer - 4:22
    • Render the report - 6:56
    • Images & Text - 5:46
    • Alternative Visual Layout - 6:01
    • Email - 7:55
    • Quiz 9: Reporting
  • Spatial Analysis
    • Create Points - 4:50
    • Trade area - 5:35
    • Find nearest - 6:45
    • Distance - 2:43
    • Spatial Matching - 4:29
    • Spatial Process - 6:37
    • Spatial Analysis - 4:29
  • Working with Databases
    • Intro Databases - 1:08
    • Setting up SQL database - 6:54
    • Creating a table - 4:15
    • Loading SQL table - 6:50
    • Write to database - 5:55
    • Connect In-DB - 5:53
    • Filter In-DB - 2:01
    • Formula In-DB - 1:41
    • Select In-DB - 1:17
    • Union In-DB - 7:29
    • Join InDB - 6:48
    • Data Stream In - 3:37
    • Data Stream Out - 1:55
    • Write Data In-DB - 3:56
    • Quiz 10: Working In-DB
  • Working on AWS
    • AWS Intro - 0:40
    • Sign up for free account - 2:23
    • Create bucket - 3:32
    • Upload file to S3 - 2:31
    • Download from S3 - 3:47
  • Macros
    • Intro - 1:59
    • Standard Macro - 11:28
    • Batch Macro - 8:09
    • Iterative Macro - 13:50
    • Quiz 11: Understanding Macros
    • Assignment 7 - Instructions - 1:32
    • Assignment 7 - Solution - 4:57
  • Documentation
    • Comment - 3:25
    • Tool Container - 4:25
    • Explorer Box - 1:34
  • Installing Predictive with R Tools
    • Relevant for the subsequent lectures
    • Installing the Predictive Tools - 4:21
  • Data Investigation
    • Data Investigation & Field Summary - 7:45
    • Pearson Correlation - 4:23
    • Violine Plot - 5:05
    • Scatterplot - 3:34
  • Predictive Tools
    • Linear Regression - 7:22
    • Score & Evaluate - 4:45
    • Decision Forest - 3:57
    • Model Comparison - 4:54
    • Assignment 8 - Instructions - 1:24
    • Assignment 8 - Solution - 5:35
  • Time Series
    • ARIMA Model - 5:55
    • ETS & TS Compare - 3:54
    • TS Forecast - 3:43
    • Assignment 9 - Instructions - 1:18
    • Assignment 9 - Solution - 4:51

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Lessons
20

Excel Pro Tips: Data Visualization

Think Outside the Pie Chart & Explore Some of Excel’s Most Powerful Visualization Tools

By Chris Dutton | in Online Courses

This Excel Data Visualization course is all about bringing data to life, using some of Excel's most powerful visualization tools. The 18 lectures of this course won't be talking about your basic pie charts and line graphs. You will be introduced to Excel's unique features like filled maps, sparklines, custom templates, dynamic visuals, interactive form controls, and much more. If you want to create clear and effective charts and graphs and interactive reports and dashboards, this course is for you.

4.6/5 average rating: ★ ★ ★ ★

  • Access 20 lectures & 1 hour of content 24/7
  • Explore Excel's most powerful visualization tools
  • Know about Excel's unique features like filled maps, sparklines, custom templates. dynamic visuals, interactive form controls & more
  • Create clear & effective charts and graphs as well as interactive reports and dashboards
NOTE: Software NOT included.
Chris Dutton | Founder, Maven Analytics
4.6/5 Instructor Rating: ★ ★ ★ ★

Chris Dutton is a certified Microsoft Excel Expert, analytics consultant, and best-selling instructor with more than a decade of experience specializing in business intelligence, marketing analytics, and data visualization. He founded Excel Maven in 2014 to provide high-quality, applied analytics training and consulting to clients around the world, and now mentors 150,000+ students in more than 190 countries. He has developed award-winning data analytics and visualization tools, featured by Microsoft, the New York Times, and the Society of American Baseball Research.

Important Details

  • Length of time users can access this course: lifetime
  • Access options: desktop & mobile
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels
  • Have questions on how digital purchases work? Learn more here

Requirements

  • Microsoft Excel 2007-2019 or Office 365 recommended
  • Designed for Windows users (some tools may not be available for Mac)

Course Outline

  • Getting Started
    • Course Structure & Outline - 1:41
    • DOWNLOAD: Course Resources
    • Setting Expectations - 1:45
    • Important Note for StackSkills Students
  • Visualization Tips
    • Introduction - 0:24
    • Chart Properties (Move & Size) - 5:08
    • Hidden Chart Source Data - 2:43
    • Filled Maps (Excel 2016+) - 5:10
    • Customizing Charts to Tell a Story - 8:53
    • Adding Sparklines - 7:44
    • Custom Chart Templates - 6:06
    • Heat Maps with Color Scales - 7:11
    • Analyzing Distribution with Histograms - 9:28
    • Goal Pacing with Gauge Charts - 10:26
    • Highlighting Time Periods - 8:05
    • Dynamic Source Ranges - 12:08
    • Interactive Form Controls - 11:48
    • QUIZ: Visualization Tips
  • Wrapping Up
    • Resources & Next Steps
    • More from Maven Analytics

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10.0 hours
Lessons
117

Up & Running with Power BI Desktop

Transform, Analyze & Visualize Data Using Microsoft Power BI Desktop

By Chris Dutton | in Online Courses

If you're looking for a comprehensive, hands-on guide to learning Microsoft Power BI Desktop, you've come to the right place. Power BI is quickly becoming the world's most powerful self-service business intelligence platform, and an absolutely essential tool for data professionals and beginners alike. With Power BI you can connect to hundreds of data sources, build complex relational models, and design stunning, interactive dashboards from scratch.

4.6/5 average rating: ★ ★ ★ ★

  • Access 117 lectures & 10 hours of content 24/7
  • Build professional-quality business intelligence reports from the ground up
  • Understand the business intelligence workflow from end-to-end
  • Blend and transform raw data into beautiful interactive dashboards
  • Design and implement the same B.I. tools used by professional analysts & data scientists
  • Chris Dutton | Founder, Maven Analytics
    4.6/5 Instructor Rating: ★ ★ ★ ★

    Chris Dutton is a certified Microsoft Excel Expert, analytics consultant, and best-selling instructor with more than a decade of experience specializing in business intelligence, marketing analytics, and data visualization. He founded Excel Maven in 2014 to provide high-quality, applied analytics training and consulting to clients around the world, and now mentors 150,000+ students in more than 190 countries. He has developed award-winning data analytics and visualization tools, featured by Microsoft, the New York Times, and the Society of American Baseball Research.

    Important Details

    • Length of time users can access this course: lifetime
    • Access options: desktop & mobile
    • Redemption deadline: redeem your code within 30 days of purchase
    • Experience level required: all levels
    • Have questions on how digital purchases work? Learn more here

    Requirements

    • Microsoft Power BI Desktop (NOT included)
    • Experience with Excel Power Query, Power Pivot & DAX is a plus, but not required/li>

    Course Outline

    • Getting Started
      • Course Structure & Outline - 1:43
      • DOWNLOAD: Course Resources
      • Introducing the Adventure Works Project - 3:02
      • Setting Expectations - 2:21
    • Introducing Power BI Desktop
      • Introduction - 0:26
      • Meet Power BI - 5:30
      • Downloading Power BI & Adjusting Settings - 4:05
      • IMPORTANT: Regional Settings
      • The Power BI Interface & Workflow - 2:34
      • Helpful Resources - 1:44
      • UPDATE: New Power BI Ribbon (2020) - 7:15
      • QUIZ: Introducing Power BI Desktop
    • Connecting & Shaping Data
      • Introduction - 0:30
      • Types of Data Connectors - 3:53
      • The Query Editor - 4:28
      • Basic Table Transformations - 10:03
      • Text-Specific Tools - 14:54
      • Number-Specific Tools - 8:37
      • Date-Specific Tools - 8:53
      • PRO TIP: Creating a Rolling Calendar - 7:08
      • Index & Conditional Columns - 8:30
      • Grouping & Aggregating Data - 7:33
      • Pivoting & Unpivoting - 8:04
      • Merging Queries - 6:41
      • Appending Queries - 6:29
      • PRO TIP: Appending Files from a Folder - 7:38
      • Data Source Settings - 5:05
      • Query Refresh Settings - 3:06
      • Additional Data Types & Categories - 7:19
      • Defining Hierarchies - 4:35
      • PRO TIP: Importing Models from Excel - 5:40
      • Data Connection Best Practices - 2:09
      • QUIZ: Connecting & Shaping Data
      • HOMEWORK: Connecting & Shaping Data
      • HOMEWORK SOLUTION: Connecting & Shaping Data - 12:36
    • Creating a Data Model
      • Introduction - 0:19
      • What is a "Data Model"? - 5:17
      • Database Normalization - 4:07
      • Data Tables vs. Lookup Tables - 7:25
      • Relationships vs. Merged Tables - 2:31
      • Creating Table Relationships - 4:34
      • "Snowflake" Schemas - 3:09
      • Managing & Editing Relationships - 2:44
      • Active vs. Inactive Relationships - 2:45
      • Relationship Cardinality - 5:08
      • Connecting Multiple Data Tables - 8:26
      • Understanding Filter Flow - 6:33
      • Two-Way Filters (Use with Caution!) - 13:16
      • Hiding Fields from Report View - 4:15
      • UPDATE: New Model View - 8:32
      • Data Model Best Practices - 1:34
      • QUIZ: Creating a Data Model
      • HOMEWORK: Creating a Data Model
      • HOMEWORK SOLUTION: Creating a Data Model - 14:09
    • Adding Calculated Fields with DAX
      • Introduction - 0:32
      • Meet DAX - 1:03
      • Intro to Calculated Columns - 7:33
      • Intro to Measures - 2:51
      • RECAP: Calculated Columns vs. Measures - 1:34
      • Adding Columns & Measures - 3:12
      • Implicit vs. Explicit Measures - 6:27
      • Filter Context Examples - 8:07
      • Step-by-Step Measure Calculation - 2:39
      • DAX Syntax & Operators - 3:49
      • Common DAX Function Categories - 3:16
      • Basic Date & Time Functions - 12:24
      • Logical Functions - 10:06
      • Text Functions - 9:24
      • Joining Data with RELATED - 8:54
      • Basic Math & Stats Functions - 14:01
      • COUNT Functions - 7:46
      • IMPORTANT: Order Line Items - 6:21
      • The CALCULATE Function - 13:06
      • CALCULATE & ALL - 9:25
      • CALCULATE & FILTER - 9:37
      • Iterator ("X") Functions - 12:27
      • DAX Time Intelligence Formulas - 12:29
      • DAX Best Practices - 2:57
      • QUIZ: Adding Calculated Fields
      • HOMEWORK: Adding Calculated Fields
      • HOMEWORK SOLUTION: Adding Calculated Fields - 15:05
    • Visualizing Data with Reports
      • Introduction - 0:29
      • The "Report" View - 5:33
      • Adding Simple Objects - 3:07
      • Inserting Basic Charts & Visuals - 5:47
      • UPDATE: Conditional Formatting - 2:58
      • Formatting Options - 9:51
      • Report Filtering Options - 11:09
      • DEMO: Matrix Visuals - 6:38
      • DEMO: Date Slicers - 7:14
      • DEMO: Cards & KPIs - 9:24
      • DEMO: Text Cards - 6:14
      • DEMO: Map Visuals - 7:15
      • DEMO: Treemaps - 3:21
      • DEMO: Line & Area Charts - 6:23
      • DEMO: Trend Lines & Forecasts - 5:36
      • DEMO: Gauge Charts - 6:43
      • Editing Report Interactions - 6:38
      • Adding Drillthrough Filters - 5:08
      • Adding Report Bookmarks - 5:49
      • "What-If" Parameters - 11:47
      • Managing & Viewing Roles - 5:27
      • PREVIEW: Custom Visuals (Log-In Required) - 2:05
      • PREVIEW: Designing for Phone vs. Desktop - 2:54
      • PREVIEW: Publishing to Power BI Service - 2:27
      • Data Visualization Best Practices - 1:35
      • QUIZ: Visualizing Data with Reports
      • HOMEWORK: Visualizing Data with Reports
      • HOMEWORK SOLUTION: Visualizing Data with Reports - 7:22
    • NEW: Artificial Intelligence (AI) Visuals
      • The Q&A Visual - 10:54
      • The Key Influencers Visual (Part 1) - 12:34
      • The Key Influencers Visual (Part 2) - 5:11
      • IMPORTANT: Correlation vs. Causation - 4:24
      • The Decomposition Tree Visual - 8:59
    • Wrapping Up
      • Resources & Next Steps - 1:41
      • More from Maven Analytics
      • REFERENCE: Monthly Power BI Updates

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    62

    Microsoft Excel: Data Visualization with Charts & Graphs

    Master 20+ Charts & Graphs in Excel with Hands-On Demos

    By Chris Dutton | in Online Courses

    Ask people what comes to mind when they think of Excel and odds are they'll say, "spreadsheets". However, Excel is an incredibly powerful, robust, and dynamic data visualization platform. This course will give you a deep, comprehensive understanding of Excel's latest data visualization tools and techniques. You'll learn when, why, and how to use each chart type, discover key data visualization best practices, and learn through interactive, hands-on demos and exercises every step of the way.

    4.6/5 average rating: ★ ★ ★ ★

    • Access 62 lectures & 4 hours of content 24/7
    • Understand when, why & how to use 20+ chart types in Excel
    • Learn advanced Excel tools like automated dashboards, scrolling charts, dynamic formats, & more
    • Master unique tips, tools, & case studies that you won't find in any other Excel course
    • Build 10+ Excel projects designed to take your data visualization skills to the next level
    NOTE: Software NOT included.
    Chris Dutton | Founder, Maven Analytics
    4.6/5 Instructor Rating: ★ ★ ★ ★

    Chris Dutton is a certified Microsoft Excel Expert, analytics consultant, and best-selling instructor with more than a decade of experience specializing in business intelligence, marketing analytics, and data visualization. He founded Excel Maven in 2014 to provide high-quality, applied analytics training and consulting to clients around the world, and now mentors 150,000+ students in more than 190 countries. He has developed award-winning data analytics and visualization tools, featured by Microsoft, the New York Times, and the Society of American Baseball Research.

    Important Details

    • Length of time users can access this course: lifetime
    • Access options: desktop & mobile
    • Redemption deadline: redeem your code within 30 days of purchase
    • Experience level required: all levels
    • Have questions on how digital purchases work? Learn more here

    Requirements

    • Microsoft Excel

    Course Outline

    • Getting Started
      • Course Structure & Outline - 1:27
      • Bonus Homework Exercises
      • Setting Expectations - 2:02
      • Important Note for StackSkills Students
    • Data Visualization Best Practices
      • Key Principles & The 10-Second Rule - 2:45
      • The Good, The Bad & The Ugly - 3:44
      • Three Key Questions - 1:49
    • Chart Formatting & Customization
      • Chart Elements, Layouts & Styles - 6:20
      • Chart Formatting Options - 5:26
      • Changing Chart Types & Adding a Secondary Axis - 3:03
      • Creating, Modifying & Applying Custom Templates - 4:06
      • QUIZ: Chart Customization
    • Mastering Basic Charts & Graphs
      • Bar & Column Charts - 8:49
      • HOMEWORK: Bar & Column Charts
      • Histogram & Pareto Charts - 5:58
      • HOMEWORK: Histogram & Pareto Charts
      • Line Charts & Trendlines - 5:16
      • HOMEWORK: Line Charts & Trendlines
      • Area Charts - 4:41
      • HOMEWORK: Area Charts
      • Pies, Donuts & Race Tracks - 12:04
      • HOMEWORK: Pies, Donuts & Race Tracks
      • Scatter Plots - 7:30
      • Bubble Charts - 6:36
      • HOMEWORK: Scatter Plots & Bubble Charts
      • Box & Whisker Charts - 6:05
      • HOMEWORK: Box & Whisker Charts
      • Tree Maps & Sunbursts - 6:36
      • HOMEWORK: Tree Maps & Sunbursts
      • Waterfall Charts - 3:17
      • Funnel Charts - 3:42
      • HOMEWORK: Waterfall & Funnel Charts
      • Radar Charts - 7:56
      • HOMEWORK: Radar Charts
      • Stock Charts - 7:18
      • HOMEWORK: Stock Charts
      • Heat Maps - 4:41
      • HOMEWORK: Heat Maps
      • Surface & Contour Charts - 7:35
      • HOMEWORK: Surface & Contour Charts
      • Geospatial Maps with Power Map - 5:28
      • HOMEWORK: Power Map
      • Basic Combo Charts - 7:57
      • HOMEWORK: Combo Charts
      • Sparklines - 2:07
      • HOMEWORK: Sparklines
      • QUIZ: Basic Charts & Graphs
    • Next-Level Data Viz Demos
      • Setting Expectations - 1:40
      • DEMO: Custom Image Overlay Charts - 6:01
      • DEMO: Adding Binary Values to Highlight Ranges - 5:02
      • DEMO: Automation with OFFSET & COUNTA - 7:08
      • DEMO: Adding Interactive Elements with Form Controls - 12:30
      • DEMO: Animating Changes Over Time - 14:20
      • DEMO: Building a Dynamic Dashboard (Part 1) - 16:10
      • DEMO: Building a Dynamic Dashboard (Part 2) - 12:08
      • DEMO: Dynamic Value-Based Formatting - 10:09
      • DEMO: Dynamically Highlighting a Data Series - 10:26
      • DEMO: Building a Custom Pacing Chart - 10:22
      • DEMO: Building a Custom Gauge Chart - 9:58
      • DEMO: Visualizing Percentages with Arrays - 7:16
      • QUIZ: Next-Level Data Viz
    • Wrapping Up
      • More from Maven Analytics

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    4.0 hours
    Lessons
    11

    Data Visualization with R

    Full Introduction to Data Visualization in R with Hands-On, Step-by-Step Training

    By Juan Galvan | in Online Courses

    In this practical, hands-on course, the main objective is to give you the foundational educations on how to implement Data Visualization in R. And we understand that theory is important to build a solid foundation, we understand that theory alone isn’t going to get the job done so that’s why this course is packed with practical hands-on examples that you can follow step by step.

    • Access 11 lectures & 4 hours of contact 24/7
    • Get started with data visualization in R
    • Learn aesthetic mappings
    • Work with single & two variable plots
    • Create reports with R markdown
    Juan E. Galvan | Top Instructor | Digital Entrepreneur
    4.5/5 Instructor Rating: ★ ★ ★ ★

    Juan Galvan has been an Entrepreneur since grade school. He has started several companies, created many products, and sold on various online marketplaces with great success. He founded Sezmi SEO, an agency based out of Seattle, Washington.

    His collection of principles, thoughts, and sayings has grown over the years. These have come from the teachings of powerful and famous people like Warren Buffett, Charlie Munger, Peter Drucker, Jim Rohn, and his personal mentors.

    Important Details

    • Length of time users can access this course: lifetime
    • Access options: desktop & mobile
    • Redemption deadline: redeem your code within 30 days of purchase
    • Experience level required: beginner
    • Have questions on how digital purchases work? Learn more here

    Requirements

    • Any device with basic specifications

    Course Outline

    • Data Visualization in R
      • Data Visualization in R Overview - 17:12
      • Getting Started with Data Visualization in R - 15:37
      • Aesthetics Mappings - 24:44
      • Single Variables Plots - 36:50
      • Two Variable Plots - 20:33
      • Facets Layering and Coordinate System - 17:56
      • Styling and Saving - 11:33
      • Creating Reports with R Markdown - 28:54
      • Introduction to R Shiny - 26:05
      • Creating a Basic R Shiny App - 31:18
      • R Shiny Other Examples - 34:05

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    1.0 hours
    Lessons
    12

    Mathematics for Data Science

    Learn about Mathematics for Data Science

    By Juan Galvan | in Online Courses

    Welcome to the Mathematics for Data Science course. In this practical hands-on course, the main objective is to provide you with foundational education regarding Mathematics for Data Science. As we all know and understand that theory is important to build a solid foundation, that theory alone will not get the job done; that's why this course is packed with practical, hands-on examples that you can follow step by step.

    • Access 12 lectures & 1 hour of content 24/7
    • Know more about descriptive statistics
    • Understand the measure of variability
    • Understand inferential statistics
    • Learn about probability & hypothesis testing
    Juan E. Galvan | Top Instructor | Digital Entrepreneur
    4.5/5 Instructor Rating: ★ ★ ★ ★

    Juan Galvan has been an Entrepreneur since grade school. He has started several companies, created many products, and sold on various online marketplaces with great success. He founded Sezmi SEO, an agency based out of Seattle, Washington.

    His collection of principles, thoughts, and sayings has grown over the years. These have come from the teachings of powerful and famous people like Warren Buffett, Charlie Munger, Peter Drucker, Jim Rohn, and his personal mentors.

    Important Details

    • Length of time users can access this course: lifetime
    • Access options: desktop & mobile
    • Redemption deadline: redeem your code within 30 days of purchase
    • Experience level required: beginner
    • Have questions on how digital purchases work? Learn more here

    Requirements

    • Any device with basic specifications

    Course Outline

    • 1. Statistics for Data Science
      • Intro to Statistics - 7:10
      • Descriptive Statistics - 6:35
      • Measure of Variability - 12:19
      • Measure of Variability Continued - 9:35
      • Measures of Variable Relationship - 7:37
      • Inferential Statistics - 15:18
      • Measures of Asymmetry - 1:57
      • Sampling Distribution - 7:34
    • 2. Probability & Hypothesis Testing
      • What Exactly Probability - 3:44
      • Expected Values - 2:38
      • Relative Frequency - 5:15
      • Hypothesis Testing Overview - 9:09

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    8.0 hours
    Lessons
    114

    Fullstack Web Development Master Class 2022

    Build Websites with Node & MongoDB NoSQL Databases and Snag the Most In-Demand Role in the Tech Field Today

    By John Bura | in Online Courses

    This course will teach you how to build a website from the ground up. Node.js is a back-end JavaScript runtime environment that runs JavaScript code outside of a web browser. It is open-source and cross-platform. You may improve your skills, find a new career, and build powerful, robust web apps by learning NodeJS, a rapidly rising web server technology. MongoDB is a document-oriented NoSQL database that runs on any platform. You may create a modern application database for your projects by utilizing MongoDB. This course offers a fast-paced approach to provide you with the most comprehensive website creation experience possible.

    4.5/5 average rating: ★ ★ ★ ★

    • Access 114 lectures & 8 hours of content 24/7
    • Know what a MongoDB NoSQL database is
    • Review & improve your JavaScript knowledge and skills
    • Work with JS variables, data types, variable mutation, type coercion, & more
    • Use conditional statements, functions & arrays, objects, loops, and more
    • Build a local MongoDB database
    • Count site visitors with MongoDB, Node, Express & EJS
    Mammoth Interactive
    4.2/5 Instructor Rating: ★ ★ ★ ★

    Mammoth Interactive produces XBOX 360, iPhone, iPad, Android, HTML 5, ad-games, and more. It's owned by top-rated instructor John Bura. Mammoth Interactive recently sold a game to Nickelodeon! John has been contracted by many different companies to provide game design, audio, programming, level design, and project management. To this day John has 40 commercial games that he has contributed to. Several of the games he has produced have risen to number 1 in Apple's app store. In his spare time, John likes to play ultimate Frisbee, cycle, and work out.

    Important Details

    • Length of time users can access this course: lifetime
    • Access options: desktop & mobile
    • Redemption deadline: redeem your code within 30 days of purchase
    • Experience level required: beginner
    • Have questions on how digital purchases work? Learn more here

    Requirements

    • Any device with basic specifications

    Course Outline

    • 00 Course overview
      • 00 Course Overview - MongoDB - 2:43
      • 01 What You'll Need - 2:27
      • 02 What Is A MongoDB NoSQL Database - 5:51
      • Source files
    • 02 (Prerequisite) Introduction to JavaScript - 01. Introduction to the Course
      • 01 01 Introduction To The Course - 3:43
      • Source Files
    • 02 - 02. Variables and Data Types
      • 02 01 What Will We Learn In This Section - 0:44
      • 02 02 Variables - 10:21
      • 02 03 Data Types - 5:41
      • 02 04 Variable Mutation - 6:53
      • 02 05 Type Coercion - 6:52
      • 02 06 Coding Challenge - 1:36
      • 02 07 Coding Challenge Solution - 2:43
      • 02 08 Section Summary - 0:46
      • Source Files
    • 02 - 03. Operators
      • 03 01 What Will We Learn In This Section - 0:35
      • 03 02 Basic Operators - 15:32
      • 03 03 Operator Precedence - 5:41
      • 03 04 Coding Challenge - 2:11
      • 03 05 Coding Challenge Solution - 5:52
      • 03 06 Section Summary - 0:56
      • Source Files
    • 02 - 04. Conditional Statements
      • 04 01 What Will We Learn In This Section - 0:36
      • 04 02 If Else Statements - 11:43
      • 04 03 Boolean Logic- - 7:57
      • 04 04 Switch Statements - 10:54
      • 04 05 Truthy And Falsie Values - 6:03
      • 04 06 Equality Operators - 4:38
      • 04 07 Coding Challenge - 2:25
      • 04 08 Coding Challenge Solution - 4:54
      • 04 09 Section Summary - 1:07
      • Source Files
    • 02 - 05. Functions and Arrays
      • 05 01 What Will We Learn In This Section
      • 05 02 Functions - 9:46
      • 05 03 Function Statements And Expressions - 7:37
      • 05 04 Arrays - 10:09
      • 05 05 Coding Challenge
      • 05 06 Section Summary - 1:26
      • Source Files
    • 02 - 06. Objects
      • 06 01 What Will We Learn In This Section - 0:38
      • 06 02 Objects And Properties - 9:49
      • 06 03 Objects And Methods - 12:25
      • 06 04 Objects Vs Primitives - 16:17
      • 06 05 Coding Challenge - 0:51
      • 06 06 Coding Challenge Solution - 5:13
      • 06 07 Section Summary - 0:42
      • Source Files
    • 02 - 07. Loops
      • 07 01 What Will We Learn In This Section - 0:34
      • 07 02 Loops - 15:03
      • 07 03 Iteration - 12:35
      • 07 04 Coding Challenge - 1:01
      • 07 05 Coding Challenge Solution - 6:32
      • 07 06 Section Summary - 0:45
      • Source Files
    • 02 - 08. JavaScript Execution
      • 08 01 What Will We Learn In This Section - 0:52
      • 08 02 JavaScript Parsers And Engines - 5:19
      • 08 03 Execution Contexts And Execution Stack - 2:26
      • 08 04 Creation And Execution Phases - 6:23
      • 08 05 Hoisting - 2:13
      • 08 06 Scoping - 4:52
      • 08 07 Scope Chain - 3:20
      • 08 08 This Keyword - 4:16
      • 08 09 Coding Challenge
      • 08 10 Coding Challenge Solution - 3:21
      • 08 11 Section Summary - 0:47
      • Source Files
    • 03 Install MongoDB on Mac and Windows
      • 01 Install Mongodb On Mac - 8:07
      • 02 Install Mongodb On Windows - 9:58
    • 04 Build a local MongoDB database
      • Source Code
      • 01 Build A Mongo Database Via The Terminal - 11:18
    • 05 Install npm and Node on Mac, Windows and Linux
      • 00 What Is Node JS - 8:22
      • 01 Install Node And NPM On Mac Or Windows - 3:14
    • 06 Connect to MongoDB with a Node server, native driver and Mongoose
      • 01 Connect With A Node Server And MongoDB Native Driver - 12:42
      • 02 Connect To MongoDB With Mongoose - 9:35
      • Source files
    • 07 Count site visitors with MongoDB, Node, Express and EJS
      • 00 Project Preview - Count Site Visitors - 1:37
    • 08 Build a new MongoDB Express project
      • 00 What Is Express JS - 4:23
      • 01 Build A New Express Project Template - 13:33
      • 02 Build A Mongoose Model - 6:54
      • 03 Build A New Mongo Database To Track Site Visits - 4:37
      • Source files
    • 09 Increment counter with each visit
      • 01 Increment Counter With Each Visit - 7:48
      • 02 Send MongoDB Data To The Homepage - 7:25
      • 03 Connect App To Mongo - 9:22
      • Source files
    • 10 Build the homepage template with EJS
      • 00 What Is EJS - 4:30
      • 01 Build The Homepage Template With EJS - 8:23
      • Source files
    • 11 Build a CRUD app with MongoDB, EJS, Node, Express
      • 00 Project Preview - Build A Crud App - 2:38
    • 12 Build web server with Node and Express
      • 01 Set Up Project With Node And Express - 6:12
      • 02 Send An HTML Page - 4:44
      • 03 Install Nodemon To Auto Restart Server - 4:01
      • Source files
    • 13 Create data with POST requests to server
      • 01 Build An HTML Form - 7:12
      • 02 Read Data With Body Parser - 4:32
      • Source files
    • 14 Connect to MongoDB
      • 01 Build A Local Mongo Database - 6:39
      • 02 Use Database In Express Request Handlers - 2:10
      • 03 Insert Item Into Database Collection - 5:13
      • Source files
    • 15 Read and show all database items to client with EJS
      • 01 Get Items From Database Collection - 4:17
      • 02 Generate Html With EJS Templating - 4:55
      • 03 Show All Database Items With EJS - 7:22
      • Source files
    • 16 Update data on the database via client
      • 01 Build An Update Button - 7:00
      • 02 Accept Put Request On The Server - 6:09
      • 03 Auto Refresh Page Upon Handled Put Request - 5:41
      • Source files
    • 17 Delete data from database via client
      • 01 Build A Delete Button - 4:28
      • 02 Handle Delete Event On The Server - 3:21
      • 03 Handle Nothing To Delete - 6:36
      • Source files
    • 18 Quickly style the site with Bootstrap
      • 01 Add Bootstrap Styling - 3:31
      • Source Files

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