Alteryx Certified Course

Alteryx is a powerful data analytics and automation platform designed to help users prepare, blend, analyze, and visualize data with ease. It provides a no-code/low-code workflow interface, enabling both beginners and advanced analysts to transform raw data into meaningful insights quickly. With its drag-and-drop tools, Alteryx simplifies complex processes like data cleaning, predictive analytics, and reporting—making it a top choice for data analysts, business analysts, and data-driven teams.

Key Features of Course Divine:

• Collaboration with E‑Cell IIT Tirupati
• 1:1 Online Mentorship Platform
• Credit-Based Certification
• Live Classes Led by Industry Experts
• Live, Real-World Projects
• 100% Placement Support
• Potential Interview Training
• Resume-Building Activities

Career Opportunities After Learning Alteryx:

• Data Analyst
  Work with data cleaning, preparation, reporting, and insights.
• Business Analyst
  Use Alteryx workflows to optimize business processes and support decision-making.
• Data Engineer
  Build automated pipelines and manage large datasets using Alteryx.
• ETL Developer
  Design and automate Extract-Transform-Load processes.
• Reporting Analyst / BI Analyst
  Create analytics workflows integrated with Tableau, Power BI, and other BI tools.
• Process Automation Specialist
  Automate repetitive business tasks and improve efficiency using Alteryx Automation tools.
• Analytics Consultant
  Solve client problems using Alteryx for analytics, cleansing, blending, and predictive modeling.
• Machine Learning Analyst (Entry-Level)
  Use Alteryx predictive tools to build and deploy ML workflows.
• Data Quality Analyst
  Ensure data accuracy and manage data governance workflows

Essential Skills You Will Develop After Learning Alteryx:

• 1. Data Preparation & Cleaning
• You’ll gain the ability to cleanse, structure, and prepare raw data for analysis using drag-and-drop tools.
• 2. Data Blending & Integration
• Learn to combine data from multiple sources—databases, Excel, cloud platforms—into a single workflow.
• 3. Workflow Automation
• Develop skills to automate repetitive processes, saving time and increasing accuracy.
• 4. ETL (Extract, Transform, Load) Processes
• Understand how to design and manage ETL pipelines for enterprise data management.
• 5. Analytical Thinking
• Strengthen your ability to interpret data patterns and extract meaningful insights.
• 6. Predictive Analytics
• Use built-in Alteryx predictive tools to perform statistical modeling and forecasting.
• 7. Problem-Solving Skills
• Learn to build end-to-end solutions for business challenges using Alteryx workflows.
• 8. Reporting & Visualization Prep
• Prepare data for visualization tools like
  Tableau and
  Power BI.
• 9. SQL & Database Handling
• Enhance your understanding of SQL queries and database connections inside Alteryx.
• 10. Data Quality & Governance
• Develop skills in data validation, accuracy checks, and error-free pipeline creation.

Tools Covered:

• 1. Alteryx Designer
• Core platform for building workflows, preparing data, blending datasets, and performing analytics.
• 2. Alteryx Server
• Enterprise-level automation, scheduling, sharing, and collaboration of workflows.
• 3. Alteryx Gallery
• Cloud-based platform to publish, share, and manage analytic apps and workflows.
• 4. Alteryx Connect
• Data cataloging tool to discover, understand, and manage organizational data assets.
• 5. Alteryx Promote
• Tool used for deploying and managing predictive models in real-time.
• 6. Alteryx Intelligence Suite
• Advanced package for machine learning, text mining, and computer vision capabilities.
• 7. SQL Databases
• Integration with popular databases such as MySQL, SQL Server, Oracle, and PostgreSQL.
• 8. BI Tools Integration
• Works with visualization tools like
  Tableau and
  Power BI for reporting.
• 9. Cloud Platforms
• Connectors for AWS, Azure, Google Cloud Storage, and S3 environments.
• 10. APIs & Automation Tools
• Ability to connect with REST APIs and automate workflows across systems.

Syllabus:

Module 1: Introduction to Alteryx

• What is Alteryx?
• Workflow Interface Overview
• Designer Tools & Navigation
• Data Types and Basic Functions

Module 2: Data Input & Output

• Importing Data (Excel, CSV, Databases, Cloud)
• Output Formats and Methods
• Directory & Wildcard Inputs
• Best Practices for Data Connectivity

Module 3: Data Preparation Tools

• Select, Filter, Sort
• Formula, Multi-Field Formula
• Data Cleansing & Imputation
• Multi-Row Tools

Module 4: Data Blending Techniques

• Join, Union, Append
• Fuzzy Matching
• Find & Replace
• Blending Multiple Data Sources

Module 5: Transformations & Parsing

• Transpose, Crosstab
• Text to Columns
• RegEx Parsing
• Summarize Tool

Module 6: Advanced Analytics

• Predictive Tools
• Linear & Logistic Regression
• Time Series Analysis
• Clustering & Classification

Module 7: Spatial Analytics (Optional)

• Spatial Objects & Tools
• Distance Calculations
• Trade Area Analysis
• Mapping Outputs

Module 8: Automation & Macros

• Building Macros (Standard, Batch, Iterative)
• Scheduling Workflows
• Interface Tools
• Creating Analytic Apps

Module 9: Working with APIs & Cloud

• REST API Integration
• Connecting with Cloud Platforms (AWS, Azure, GCP)
• Data Upload/Download Automation

Module 10: Integration with BI Tools & Databases

• Preparing Data for
  Tableau
  Power BI
• SQL Basics Inside Alteryx
• Connecting with PostgreSQL, Oracle, MySQL, SQL Server
• Publishing to Alteryx Gallery / Server

Industry Projects:

1. Sales Performance Dashboard Automation

• Clean and blend sales data from multiple regions
• Automate monthly reporting workflows
• Prepare output for visualization in Tableau/Power BI
• Build a reusable analytics app

2. Customer Segmentation Using Predictive Analytics

• Use demographic & transactional data
• Apply clustering techniques in Alteryx
• Identify high-value customer groups
• Generate actionable marketing insights

3. Financial Risk Analysis Project

• Import and cleanse loan or credit datasets
• Use logistic regression to predict default risk
• Build automated scoring workflows
• Export insights for real-time decision-making

4. Retail Demand Forecasting

• Use historical sales data
• Apply time-series predictive tools
• Forecast demand for product categories
• Automate weekly forecast updates

Who is this program for?

1. Students & Fresh Graduates

• Those who want to start a career in data analytics, BI, or business analysis with strong practical skills.

2. Working Professionals

• Employees in IT, finance, operations, supply chain, HR, or consulting who want to upgrade their data handling and automation skills.

3. Data Analysts & Business Analysts

• Professionals who want to enhance their data preparation, blending, workflow automation, and predictive analytics capabilities.

4. ETL Developers & Data Engineers

• Those looking to streamline ETL pipelines with a no-code/low-code tool.

5. BI & Reporting Professionals

• Anyone working with dashboards and reports in tools like Tableau or Power BI who needs clean, ready-to-use data.

6. Managers & Decision Makers

• Professionals who want to automate manual reports and improve data-driven decision-making.

How To Apply:

Mobile: 9100348679

Email: coursedivine@gmail.com