Alteryx Advanced Certification

Alteryx Advanced Certification is a data analysis tool that empowers you to import, analyze and manipulate challenging datasets. It is a powerful data transformation tool that helps users build data of any size by building workflows. Alteryx Online Training helps you to understand the tools and overview of the course. It enables the user to maintain a vast amount of data in the best and automated way. Many industries are now using the Alteryx tool to make their process easier and faster.

Alteryx online course includes features like Data Analysis and Interaction, Data source access, Data Exporting, Data connectivity, API connectivity, Data Modelling, joining and sharing, Language Support, Pre-Built Algorithms, Offers artificial neural networks and Scalability.

Alteryx Training consists of three products:

• Desktop Designer Tool.
• Server
• Gallery

Why should you choose Nisa For Alteryx Advanced Certification?

Nisa Trainings is the best online training platform for conducting one-on-one interactive live sessions with a 1:1 student-teacher ratio. You can gain hands-on experience by working on near-real-time projects under the guidance of our experienced faculty. We support you even after the completion of the course and happy to clarify your doubts anytime. Our teaching style at Nisa Trainings is entirely hands-on. You’ll have access to our desktop screen and will be actively conducting hands-on labs on your desktop.

Job Assistance

If you face any problem while working on Alteryx Course, then Nisa Trainings is simply a Call/Text/Email away to assist you. We offer Online Job Support for professionals to assist them and to solve their problems in real-time.

The Process we follow for our Online Job Support Service:

• We receive your inquiry for Online Job
• We will arrange a telephone call with our consultant to grasp your complete requirement and the tools you’re
• If our consultant is 100% confident in taking up your requirement and when you are comfortable with our consultant, we will only agree to provide service. And then you have to make the payment to get the service from
• We will fix the timing for Online Job Support as mutually agreed by you and our consultant.

Course Information

Alteryx Online Training

Duration: 25 Hours

Timings: Weekdays (1-2 Hours per day) [OR] Weekends (2-3 Hours per day)

Training Method: Instructor Led Online One-on-One Live Interactive Sessions.

COURSE CONTENT :

1. Advanced Data Preparation and Transformation

• Multi-Table Joins: Handling complex join conditions, including inner, left, outer, and union joins.
• Data Blending: Using tools like Join, Union, and Find Replace to blend data from multiple sources effectively.
• Formula Tool (Advanced Expressions): Writing more complex expressions with advanced functions (e.g., conditional logic, string manipulation, date/time functions, etc.).
• Multi-Row Formula: Using the Multi-Row Formula tool to perform calculations that require data from previous or future rows.
• Text Parsing and Parsing Techniques: Advanced techniques using the Text to Columns, Regex, and Data Cleansing tools to manipulate and structure text data.

2. Working with Spatial Data

• Spatial Tools: Using tools such as Create Points, Spatial Match, and Distance Calculation to perform spatial data analysis.
• Coordinate Systems and Projections: Understanding and converting between different spatial coordinate systems and projections.
• Buffering and Spatial Aggregations: Performing spatial analysis like creating buffers, determining spatial overlap, and spatial aggregation.

3. Advanced Analytical Techniques

• Predictive Analytics: Introduction to predictive tools (e.g., Linear Regression, Logistic Regression, Time Series, and Decision Trees).
• Cluster Analysis: Using the K-Centroids Cluster Analysis tool for grouping data into clusters.
• Association Analysis: Using the Market Basket Analysis tool to discover item associations in large datasets.
• R Integration: Advanced integration with R to run custom scripts for more sophisticated analytics and statistical modeling.

4. Macros and Custom Tools

• Building Macros: Creating Standard, Batch, and Iterative Macros to make workflows more dynamic and reusable.
• Analytic App Development: Creating applications with user inputs using Interface Tools like Text Box, Drop Down, Radio Buttons, and others.
• In-Database Analytics: Using Alteryx’s In-Database tools to perform computations directly within databases for efficiency and performance.

5. Optimization and Performance Tuning

• Performance Optimization: Understanding how to optimize workflows for speed and resource usage, using tools like Cache, Parallel Processing, and Data Sampling.
• Workflow Optimization: Best practices for designing efficient workflows, managing large datasets, and optimizing for scalability.

6. Error Handling and Debugging

• Debugging Tools: Using the Browse, Data Cleansing, and Error Handling tools to debug workflows and manage errors.
• Test Workflow Outputs: Ensuring that outputs are consistent, accurate, and reliable through various testing techniques.

7. Data Output and Reporting

• Reporting Tools: Advanced use of reporting tools like Table, Charting, and Layout for creating professional reports from Alteryx.
• Output Formats: Writing data to different formats (e.g., Excel, CSV, Database, HTML).
• Dynamic File Outputs: Using dynamic file names and paths to output data dynamically (e.g., creating reports that are saved with the current date/time).

8. Server and Gallery Integration

• Publishing Workflows: Best practices for publishing workflows to the Alteryx Server or Alteryx Gallery for collaboration and scheduling.
• Scheduling and Automation: Automating workflows using Alteryx Scheduler or running workflows in batch mode.
• Workflow Dependencies: Understanding and managing dependencies between workflows in a collaborative environment.