
Learn to compute the average purchase price per customer while ignoring zeros, using transpose and summarize tools, join data, and round results for clear insights.
Apply the unique tool to the lots, then use the summarize tool to group by test month and sum the sample size, yielding the total samples tested per month.
Learn how to repeat a unique ID for each security type in Alteryx by filtering, joining, and renaming fields to create a repeated unique ID column.
Please use the formula in the resource file "First Day Month.xlsx".
Explore string identifiers in Alteryx by testing case sensitivity to determine if values are uppercase or lowercase, using text inputs, contains formulas, and custom filters to filter results.
Learn to count uppercase letters and remove all-cap values in Alteryx, using regex to tokenize letters, a formula to detect uppercase, and a filter to isolate non-uppercase data.
Transform data from wide to tall by transposing budgets and months, then join and append records to produce a single budget field and corresponding month values.
Create a minute-by-minute data set with the generate tool, then define 15-minute time segments and summarize start and end times using min, max, and time formatting.
Apply a log transformation to household income and housing value in Alteryx to reduce skewness, improve interpretability, and meet inferential statistics assumptions after cleansing whitespace.
Learn to compute and format percentage rates in alteryx by dividing numerator by denominator, multiplying by 100, rounding to two decimals, and appending a percent sign.
Navigate real-life exercises in Alteryx to extract numbers from addresses and pull out strings using the formula tool, left, length, and regular expressions.
Explore missing values in each row using an Alteryx workflow, including transposing data, creating a count of empty fields, and joining results for analysis.
Join customer data with a postcode area lookup, split range fields, and generate rows to summarize customers by region, sales rep, and responder.
Count keywords in quotes by joining quotes with a keywords reference, splitting text into words, normalizing case, and summarizing keyword counts across quotes.
Explore the data parse method in Alteryx to convert entry dates, filter overdue bills, and compute the oldest entry to generate a readable bill description.
Master delimiter cleansing by parsing a single field into id and date using comma delimiters, trimming quotes, and applying date-time parsing to produce clean, separate fields.
Standardize dates from diverse formats using regex-driven workflows in Alteryx. Extract day, month, and year, pad days, and output a single four-digit date.
Compute the path between airport centroids using spatial tools to measure distance in miles, visualize the traveled route, and sort results to identify the agent with the most miles.
Learn to convert Excel rate calculations into Alteryx workflows by building formulas for ACV USD, sales productivity, and USD/GBP contract values using exchange rates and duration years.
Learn to set up an in-database connection to Oracle with Connect NDB, configure a new data source, supply username and password, and read or write data via the connection string.
Learn Alteryx through Real-Life Exercises and deliver deeper insights for key business decision-making in hours, not weeks.
In this hands-on Alteryx training you'll experience and solve real-world analytics problems easily and quickly that will allow you to cleanse, prepare, fix, and explore data and the endless opportunities of self-service data analytics.
An era where organizations are focused on real-time data to solve problems, a vital business decision relies on four key factors: Identify the problem, analyze the possible solutions, evaluate the possibilities that are likely to bring you closer to your goal, and make the decision. This decision can be streamlined to the hands of stakeholders by utilizing advanced analytics through the powerful data preparation and blending capabilities within Alteryx.
Use Alteryx and Analyze Data to answer complex business questions
Contents and Overview
This course is meant for all skill levels. You will be on a data analytics journey from exploring the tools and the workflow canvas to robust tool utilization that will empower your data. Each section provides new tools to use and apply what you're learning immediately.
This is your step-by-step actionable guide to solving real-life exercises and real-life use cases. Every lecture is independent, you can start in whatever section you desire.
The course is broken out in multiple sections with quizzes included. You'll learn when to transpose and join your data, how to convert string to date formats and vise-versa, which parsing methods are best for the use case scenarios, why batch macros are useful, and much more.
You'll be fully prepared to data prep, analyze, examine, and present data for deeper and faster insights.