
Start with why data cleaning matters and how Alteryx makes ETL tasks easy for beginners, enabling you to clean and prepare data without coding in a practical case study.
Explore the Alteryx designer interface, dragging and dropping tiles onto a canvas, connecting tools, and running workflows to preview data in the results window.
Consolidate twelve monthly transaction files into a single table, join product and sales representative data, validate data types, and count records to analyze insights in Alteryx.
Learn to import data into Alteryx using the input data tool and text input, then stack files with the union tool and wildcards.
Learn how to import and preview data, then enrich transactions by joining product information using left, inner, and right joins in Alteryx.
Master datatype conversions and formulas in Alteryx, using the formula tool to replace commas with dots and the select tool to batch-change data types.
Enrich data by removing duplicates with the unique tool, filter out negative and zero quantities, then join with sales area and product data; learn workflow caching to speed up runs.
Calculate revenue and gross profit in Alteryx using quantity, price paid, and production costs, then save the cleaned dataset as Tableau Hyper and yx2 files for visualization.
Aggregate data and group by product names to create a unique product list, then sum quantities and sort to reveal top-selling items using the summarize tool in Alteryx.
Learn to calculate each area's share of revenue as a percentage of total revenue in Alteryx, using group by, sum, append fields, and a formula.
Filter data by region west, group by product, and use summarize to find each product's first order date, then count distinct sales days in 2019.
Group by sales area and state, then summarize revenue in Alteryx to identify performance by region. Sort within each area and select the top three states by revenue.
Alteryx masterclass demonstrates segmenting sales managers into three equal-sized groups based on total revenue, then labeling tiles as high performance or low performance and joining results for clear ranking.
Learn to pivot data in Alteryx by using the cross tab tool to group by country, set products as headers, and sum revenue across all countries.
learn to compute a running total and cumulative revenue in alteryx using summarize and running total, and identify the date when revenue surpasses 100 million (feb 23, 2019).
Alteryx Masterclass - a crashcourse for beginners
A case study the fun and easy way!
You are interested in data analytics and business intelligence? Great! You have chosen not only a highly rewarding profession but also one of the most interesting ones of the future. Data is the oil of our century and getting the right insights at the right time will be the key competitive advantage for businesses.
This is why you are here. Companies need highly skilled people to help them analyzing their data. During this process the data aggregation and cleaning is the most challenging part. 80% of the time of data analysts and data scientists are spend with data preparation. This can be cumbersome but is crucial to derive valuable insights. Because:
"Trash in trash out!"
This is why we need to explore fast and efficient ways to prepare our data which we then want to visualize in powerful tools like Tableau or Power BI.
And now the most interesting question? How exactly can we achieve this? What are the best tools to do that, which do not require extreme programming skills?
Meet Alteryx! One of the best ETL / data preparation tools on the market. This awesome tool with an "Apple flair design" and drag and drop functionality will help us to prepare and combine even the worst kinds of data sources
This is the first of 3 courses (second one Alteryx MasterClass - lets get started, third one Alteryx Masterclass - solving real world business challenges)
Here we start from scratch and a fully functional version of the software can be downloaded for free. The only thing you need to bring with you is your personal interest and willingness to learn in a data driven age.
If that sound like you then..
Let's dive into the case study together
Are you ready?