What topics are covered in this AI-powered Data Analytics course?

This AI-powered Data Analytics program covers the full analytics cycle, starting from ETL workflows and SQL to Python-based analysis, Excel with Copilot, Power BI, and Tableau. It also includes predictive modeling, cloud-based analytics, generative AI tools, automation platforms, AI agents, responsible AI, and a capstone project based on real business problems.

Who is this data analytics certificate program intended for?

This data analytics program is suitable for early to mid-level professionals who want to build strong analytics skills with AI support. It is designed for learners from business, technology, and analytics roles who want structured learning and guided practice to advance toward AI-driven analytics positions.

What career opportunities can this program prepare me for?

This data analytics program prepares learners for in-demand roles such as: Data Analyst Business Analyst Data Scientist Quantitative Analyst Business Intelligence Developer Data Engineer Analytics Consultant Data Architect AI Product Manager Analytics Manager Technology Specialist The course helps learners build practical skills required for AI-supported analytics functions across industries.

Do I need previous experience in data analytics to join the course?

No prior experience in data analytics is required. The curriculum is structured to introduce core concepts clearly and then progress into advanced tools, automation techniques, and AI-powered analytics workflows.

How do learner reviews help me?

Learner reviews give you a broader view of the learning experience of Data Analytics programs at Simplilearn, including feedback on live classes, instructors, hands-on projects, support, and career-focused outcomes. They help you understand what learners value most across their learning journeys.

Do I need a paid Claude subscription for this Build with Claude Code, OpenClaw & Claude Design workshop?

Yes. This workshop uses the latest Claude tools, so learners are required to obtain their own paid Claude subscription. The basic Claude Pro plan ($20/month) is sufficient for all workshop activities.

Professional Certificate in Data Analytics and Generative AI

Industry Partner:

Application closes on
17 Jul, 2026
Program Duration
7 months (8–10 hrs/week)
Learning Format
Live, Online, Interactive

Why Join this Program

Certificate of Completion
Earn a certificate of completion from UCSB PaCE and Simplilearn

Earn a certificate of completion from UCSB PaCE and Simplilearn
Hands-On Learning
Work on 12+ real-world projects with live expert-led sessions
AI-Focused Curriculum
Learn through applied AI tools and industry-relevant case studies
Career Support Services
Access Simplilearn’s Career Services for interview preparation

Corporate Training

Enroll your employees into this program, NOW!

Talk to Our Advisor

Program Overview

Develop end-to-end expertise in AI-powered data analytics through a comprehensive, industry-aligned curriculum. Master SQL and Python for data manipulation, leverage Power BI and cloud AI tools for intelligent insights, and build AI agents to automate modern data analysis workflows.

Key Features

Master the data analytics lifecycle from acquisition through visualization and AI-driven insights
Build interactive dashboards with Power Bl and Tableau with Al integrations
Build and apply predictive analytics and machine learning models across business use cases
Learn through a structured curriculum that combines live interactive sessions with self-paced modules
Understand data analytics with AI integration using 20+ tools including Excel, MySQL, Visualization tool, GA4, n8n,LangChain and more
Gain 13+ job-relevant skills spanning ETL workflows, data visualization, web analytics, and AI-powered analytics automation
Build the skills to identify AI opportunities, automate workflows, and build intelligent AI solutions
Simplilearn Career Service helps you get noticed by top hiring companies
Benefit from a Job Tracker & Job Board centralizing all the latest job listings, AI LinkedIn Analyzer and Resume Builder with interactive Career Workshops and more

AI-powered Data Analytics Advantage

Future-proof your career with an AI-powered Data Analytics Program. Master Excel, SQL, Python, Visualization tools, Predictive models and Cloud AI tools. Build automated AI agents and real-world projects and earn industry-recognized certificates.

Program Certificate
University Certificate
- Certificate of completion from UCSB PaCE and Simplilearn
- Learn through a curriculum approved by UCSB PaCE to ensure academic rigor and relevance
Microsoft Certificate
Industry Certificate
- Microsoft Learn Badges on the MS Learn Portal for the MS-branded courses
- Introduction to AI and data analytics course content by Microsoft

Program Details

The journey begins with ETL, shaping raw data for analysis. You master SQL and Python, then build AI-enhanced dashboards in Excel, Power BI, and Tableau. You advance into predictive models, cloud and GenAI tools, Copilot-driven analytics, and autonomous AI agents through hands-on projects.

Learning Path

Program Induction
- Introduction to the program structure and curriculum
- Overview of learning journey and expected outcomes
- Understanding the support system available to learners
- Key concepts and skills covered throughout the program
Foundations of Data Analytics & ETL Workflows
- Understand data collection and storage mechanisms
- Differentiate between data types and structures
- Analyze business intelligence use cases
- Understand the collaborative roles of analytics and engineering teams
AI-Powered Business Analytics with Excel & Copilot
- Build AI-driven Excel models
- Automate business narratives
- Perform advanced forecasting
- Apply “what-if” analysis for decision-making
- Create performance dashboards
Data Manipulation and Acquisition with SQL
- Write SQL statements for data manipulation
- Understand relational and NoSQL databases
- Design efficient relational schemas
- Optimize queries using AI tools
- Apply SQL to solve real business problems
Data Analysis & Visualization with Python
- Manipulate data using Python libraries
- Perform statistical analysis
- Create publication-quality visualizations
- Apply regression and correlation techniques
- Conduct multivariate analysis
Data Visualization & Storytelling using Power BI
- Design interactive BI dashboards
- Use Smart Narratives to generate insights- Analyze KPIs and trends
- Apply storytelling best practices
- Deploy dashboards to enable data-driven decision-making
Predictive Analytics & Machine Learning
- Build predictive models
- Understand supervised vs unsupervised learning
- Apply feature scaling and encoding
- Evaluate model performance
- Deploy ML models for real-world applications
Introduction to AI in Azure (Microsoft)
- Understand core artificial intelligence concepts
- Explore Azure services for building AI solutions
AI Automation for Data Workflows
- Build AI-based automation
- Integrate multi-agent systems
- Optimize analytic processes
- Manage workflow orchestration
- Implement automation frameworks
Analytics Integration with Cloud AI Platforms
- Integrate with cloud AI APIs
- Automate report generation
- Monitor analytics pipelines
- Deploy cloud-based AI
- Implement cross-platform analytics workflows
AI Agents for Data Analytics
- Develop autonomous AI agents
- Implement iterative planning
- Use LangChain and CrewAI
- Integrate external tools/APIs
- Manage autonomous workflows
Data Ethics, Privacy & Responsible AI
- Understand AI ethics
- Apply fairness metrics
Capstone Project: AI-Driven Analytics Lifecycle
- Implement a comprehensive analytics project
- Integrate AI into analytics workflows
- Build dashboards and apply storytelling techniques
- Demonstrate mastery of key program concepts

Electives:

AI Impact Studio
- Explore the latest advancements in Generative AI, Agentic AI & intelligent automation
- Learn hands-on through live expert-led AI workshops on Claude Code, OpenClaw & more
- Learn through expert-led technical and business workshops with real-world use cases
- Build practical AI capabilities to drive productivity, innovation, and business impact
Agentic AI Masterclass
- Step into the future of AI with this masterclass on AI agents that can plan, reason, and execute complex tasks with minimal human input.
- Learn how to design and build AI-driven agents that take automation and decision-making to the next level.
Introduction to Microsoft Azure in Data Analytics
- Build large-scale analytics solutions that leverage the latest technologies
- Learn techniques for data ingestion, storage, modeling, and visualization
- Prepare for the Azure Data Fundamentals certification
Data Visualization & Storytelling (Tableau)
- Create interactive Tableau dashboards
- Learn to apply storytelling techniques
- Manage data sources
- Perform visual analytics
- Customize visuals

Programme Syllabus

13+ Skills Covered

Data Analytics Lifecycle
ETL Workflow Understanding
SQL
Python
Data Visualization
Predictive Analytics
Machine Learning
Generative AI
AI Automation for Data Analysis
Cloud AI Platforms
Data Storytelling
AI Powered Excel and Copilot
AI Agents

22+ Tools Covered

Industry Projects

Project 1
AI Powered Lead Management Automation
Automate lead management with AI-based categorization, email alerts, and weekly reporting using tools like n8n.
Project 2
AI Powered Business Optimizer Capstone
Develop an end-to-end AI analytics solution using ML, agents, and visualization to solve real business challenges.
Project 3
Cloud AI Business Insights and Automation
Design cloud-powered dashboards using Google Gemini and RowsAI for forecasting, anomaly detection, and insights.
Project 4
Marketing Campaign Impact Analysis
Analyze marketing data using Python, build regression models, and visualize insights to optimize campaign performance.
Project 5
Airline Operations and Delay Analysis
Create interactive Power BI dashboards with Smart Narratives to track airline performance and delay causes.
Project 6
Telecom Customer Churn Prediction
Build churn prediction models for telecom data using supervised ML and interpret results with SHAP and ROC-AUC metrics.
Project 7
Retail Sales Performance Analysis
Build AI-driven Excel dashboards to analyze retail sales, profit, and customer trends using Microsoft 365 Copilot.
Project 8
AI Agent Driven Sales and Marketing Analytics
Build autonomous analytics agents using LangChain and CrewAI for data cleaning, summarization, and report automation.
Project 9
Customer Conversion and Sales Intelligence Dashboard
Design AI-powered Tableau dashboards with Einstein Analytics to track conversions and forecast sales performance.
Project 10
Loan Approval Fairness Analysis
Conduct bias audits on ML models, apply fairness metrics, and document governance artifacts like model cards and datasheets.
Project 11
Retail POS Data Analysis with SQL
Use SQL to clean, query, and analyze POS data for customer insights, product trends, and data-driven business decisions.

Disclaimer - The projects have been built leveraging real publicly available datasets from organizations.

prevNext

An Immersive Learning Experience

Peer to Peer engagement

Get the real classroom experience. Interact with learners and engage with mentors in real-time via Slack.

Flexi Learn

Missed a class? Access recordings to always maintain learning progress and keep up with your cohort.

Mentoring session(s)

Expert guidance sessions from mentors for doubt clarifications, project assistance, and learning support.

Learning Support

Get a dedicated Cohort Manager for all your queries and help you succeed at every learning step.

Peer to Peer engagement

Get the real classroom experience. Interact with learners and engage with mentors in real-time via Slack.

Flexi Learn

Mentoring session(s)

Learning Support

Program Trainers

Christopher Himmel
32+ Years of Experience
Senior AI & Data Science Leader
Dalila Glover
15+ Years of Experience
Senior Data Analytics Lead
Juan Herrera
7+ Years of Experience
Data Engineer
Joseph Comeaux
34+ Years of Experience
Data Scientist & ETL Engineer

prevNext

Career Support

Simplilearn Career Assistance

Simplilearn’s Career Services program, offered in partnership with Prentus, is a service that helps you to be career-ready for the workforce and land your dream job in the U.S. markets.

Access to workshops, networking tools, and community support

Stay on top of your job hunt with a smart tracker and job board

Build an ATS-friendly resume using the AI Resume Builder

Practice anytime with the AI-powered Mock Interview Coach

Data Analytics Industry Trends

The global data analytics market is projected to reach approximately US$83.79 billion in 2026 and grow to US$785.62 billion by 2035, at a CAGR of 28.35% from 2026 to 2035.

$1.5 trillion

The data analytics market is expected to grow rapidly,underscoring demand.

Source: Glassdoor

$10 billion

AI investments in analytics platforms are accelerating globally.

Source: IDC

$20 billion

Increasing adoption of cloud AI platforms fuels analytics automation.

Source: Forrester

Companies Hiring

Batch Profile

This program caters to working professionals from a variety of industries and backgrounds; the diversity of our students adds richness to class discussions and interactions.

Industry
The class consists of learners from excellent organizations and diverse industries
Where Learners Come From
Information Technology - 35%Software Product - 29%BSFI - 15%E-Commerce - 12%Others - 9%
Companies

Learner Reviews

Admission Details

Application Process

The application process consists of three simple steps. An offer of admission will be made to the selected candidates and accepted by the candidates by paying the admission fee.

STEP 1

Submit Application

Tell us a bit about yourself and why you want to do this program

STEP 2

Reserve Your Seat

An admission panel will shortlist candidates based on their application

STEP 3

Start Learning

Selected candidates can begin the program within 1-2 weeks

Eligibility Criteria

For admission to this Post Graduate Program in Data Science, candidates should have:

2+ years of work experience preferred

A bachelor's degree with an average of 50% or higher marks

Basic understanding of programming concepts and mathematics

Admission Fee & Financing

The admission fee for this program is $3,500

Financing Options

We are dedicated to making our programs accessible. We are committed to helping you find a way to budget for this program and offer a variety of financing options to make it more economical.

Total Program Fee

$3,500

10% off

$3,899

Pay In Installments, as low as

$350/month

You can pay monthly installments for Post Graduate Programs using Splitit or Klarna payment option with low APR and no hidden fees.

Admission Closes on :

Apply now

Apply Now

Program Benefits

Earn Industry-Recognized Certificates
Explore cutting-edge AI analytics tools
Get 12+ Hands-on Industry projects
Access to career assistance with interview prep.
Attend Masterclass on Agentic AI

Program Cohorts

Next Cohort

UCSB PaCE Data Analytics and GenAI Aug 2026 Cohort 2
- Date
  Time
  Batch Type
- Program Induction
  17 Jul, 2026
  10:00 CDT
- Regular Classes
  29 Aug, 2026 - 28 Mar, 2027
  09:00 - 12:00 CDT
  WeekendSaSu
- Apply Now

Got Questions Regarding Cohort Dates?

FAQs

What topics are covered in this AI-powered Data Analytics course?
This AI-powered Data Analytics program covers the full analytics cycle, starting from ETL workflows and SQL to Python-based analysis, Excel with Copilot, Power BI, and Tableau. It also includes predictive modeling, cloud-based analytics, generative AI tools, automation platforms, AI agents, responsible AI, and a capstone project based on real business problems.
Who is this data analytics certificate program intended for?
This data analytics program is suitable for early to mid-level professionals who want to build strong analytics skills with AI support. It is designed for learners from business, technology, and analytics roles who want structured learning and guided practice to advance toward AI-driven analytics positions.
What career opportunities can this program prepare me for?
This data analytics program prepares learners for in-demand roles such as:
- Data Analyst
- Business Analyst
- Data Scientist
- Quantitative Analyst
- Business Intelligence Developer
- Data Engineer
- Analytics Consultant
- Data Architect
- AI Product Manager
- Analytics Manager
- Technology Specialist
The course helps learners build practical skills required for AI-supported analytics functions across industries.
Do I need previous experience in data analytics to join the course?
No prior experience in data analytics is required. The curriculum is structured to introduce core concepts clearly and then progress into advanced tools, automation techniques, and AI-powered analytics workflows.
How do learner reviews help me?
Learner reviews give you a broader view of the learning experience of Data Analytics programs at Simplilearn, including feedback on live classes, instructors, hands-on projects, support, and career-focused outcomes. They help you understand what learners value most across their learning journeys.
Do I need a paid Claude subscription for this Build with Claude Code, OpenClaw & Claude Design workshop?
Yes. This workshop uses the latest Claude tools, so learners are required to obtain their own paid Claude subscription. The basic Claude Pro plan ($20/month) is sufficient for all workshop activities.