AI-Powered Data Analytics: From Data to Decisions

Transform from beginner to AI-powered analyst

  • Analyze business data with Excel, SQL, Python, and Copilot
  • Build dashboards and deliver stakeholder-ready insights
  • Automate recurring workflows with Zapier, Make, n8n, and more
  • Build 10+ analytics projects and a capstone for your portfolio

Talk to an advisor :

+1-844-532-7688
AI-Powered Data Analytics: From Data to Decisions
Top Ivy Engineering School

Talk to an advisor :

+1-844-532-7688
  • Admission closes
    Nov 10, 2026
  • Program Duration
    15 weeks(6-8 hrs / week)
  • Program Fee
    $ 2,690(incl. of taxes)
  • Learning Format
    Mentor-led, Live, Online

Key Features

Your AI edge | Built by Minds from Global Tech Giants

Curated content, designed and delivered by experts at Amazon, Oracle, and EY

Go beyond the curriculum with weekly live mentorship by seasoned industry practitioners

AI Across the Curriculum

Apply AI at every stage of data analysis, not in a standalone module

Explore real use cases and hands-on labs at AI-Impact Studio by Simplilearn

Business-Focused Analytics

Frame business questions and structure the right approach to solve them

Uncover patterns and translate findings into clear business decisions

Simplilearn Career Service

Strengthen your resume and get career guidance from industry specialists

Attend mock interview sessions to help you ace the hard technical questions

Need to know more?

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Need to know more?

Talk to an Advisor

Toll Free : +1-844-532-7688

Corporate Training

Enroll your employees into this program, NOW.

Corporate training

Talk to an Advisor

Toll Free : +1-844-532-7688

Career Opportunities

Data Analyst

Cleans, explores, and interprets datasets to identify patterns and answer specific business questions.

Hiring Companies
Average Salary

Essential Skills You Will Develop

  • Excel Analytics
  • Exploratory Data Analysis
  • Dashboard Development
  • Statistical Analysis
  • Data Storytelling
  • AI Agent Development
  • Business Problem Framing
  • Cloud Analytics
  • Machine Learning
  • Predictive Analytics
  • Python Analytics
  • SQL Analysis
  • Stakeholder Recommendations
  • Workflow Automation
  • Responsible AI and Governance
  • Data Preparation Cleaning

Earn a certificate

Build job-ready data analytics skills with Columbia Engineering Executive Education, delivered by Simplilearn, and prepare to solve real business problems with data, AI, and automation.

A Hallmark of Excellence
A Hallmark of Excellence
  • Curriculum reviewed & approved by Columbia Engineering faculty
  • Build a portfolio of analytics projects and a capstone by completion

Program Curriculum

Master the complete analytics lifecycle, from framing business problems and preparing data to visualization, automation, AI agents, and responsible AI. Over 15 weeks, build skills in Excel, SQL, Python, and Tableau while completing a Data Analytics and AI Capstone.

  • Data Analytics Program Onboarding
    Begin with an introduction to the program structure, curriculum, learning outcomes, and support system. This induction outlines the key concepts and skills learners will develop throughout the program.
  • Getting Started with Data Analytics and AI
    The Getting Started section is your first stop in the LMS, designed to help you understand the program structure, learning experience, and what to expect before you begin.
  • Unlocking Business Value with Data Analytics
    Explore the foundations of data analytics, including types of analytics, the role of a data analyst, business KPIs, data quality, and ETL. Learn to translate business questions into data questions and understand how data moves through traditional and AI-enabled analytics workflows.
  • AI-Enhanced Business Analytics with Excel and Copilot
    Prepare, clean, structure, and analyze business data in Excel using functions, PivotTables, Power Pivot, DAX, and visualization techniques. Use Copilot for AI-assisted analysis and apply these skills to sales, profitability, customer, product, discount, return, and trend analysis.
  • SQL for Data Extraction and Transformation
    Build SQL skills using MySQL to extract, filter, join, aggregate, and transform business data. Work with window functions, nested queries, CTEs, and query optimization while using Copilot to support SQL querying, improvement, and debugging.
  • Python for Exploratory Data Analysis
    Develop Python fundamentals for data analysis using environments such as Jupyter Notebook. Learn core programming concepts, work with data structures and functions, and build the foundation required to explore and analyze data with Python.
  • Applied Data Analytics with Python
    Apply Python to data cleaning, exploratory analysis, visualization, and statistical analysis. Use NumPy and Pandas to prepare analytics-ready datasets, uncover patterns in business data, and create meaningful visual insights.
  • Power BI for Data Visualization and Storytelling
    Learn Power BI fundamentals, data preparation with Power Query, data modeling, DAX, and interactive visualization. Explore built-in AI capabilities, dashboard and report design, performance optimization, publishing, sharing, and security in Power BI Service.
  • AI Automation for Modern Data Workflows
    Design automated data workflows with Zapier, Make, and n8n. Capture and validate data, enrich records with AI, route requests, trigger alerts, send notifications, generate reports, and apply testing and error handling to modern analytics workflows.
  • AI Agents for Intelligent Data Analytics
    Explore the foundations of AI agents for data analytics, including prompt engineering and multi-agent systems. Use agents for data analysis and visualization, then learn how analytics workflows can be evaluated and deployed using LangSmith.
  • Designing Ethical AI: Privacy, Compliance, and Governance
    Examine data ethics, privacy, fairness, compliance, and responsible AI. Apply these concepts by evaluating bias and fairness and developing governance-focused recommendations for responsible and compliant AI decision-making.
  • AI Powered Data Analytics Capstone

ELECTIVES

  • AI Impact Studio
    AI Impact Studio by Simplilearn is an exclusive live AI workshop series that helps learners stay ahead in Generative AI, Agentic AI, automation, and emerging AI technologies. Access one or both learning tracks: AI Builder Studio focuses on AI development, automation, and deployment, while AI Business Impact Studio explores AI-powered productivity, decision-making, workflow transformation, and business innovation.
  • Predictive Analytics and Machine Learning Essentials
    Develop predictive analytics skills using regression, classification, ensemble, and clustering models. Learn model validation techniques and performance metrics, and apply supervised and unsupervised learning methods to real-world business problems.
  • Demand and Supply Analytics
    Identify opportunities to apply analytics to demand and supply decisions, estimate price elasticity to optimise static and dynamic pricing, implement price differentiation and customer segmentation strategies, and model revenue management scenarios, including overbooking, through practical case studies.
  • Cloud AI for Scalable Analytics Solutions
    Work with GA4 to explore reports and analysis, use Gemini for insight generation and forecasting, and build role-based smart dashboards. Apply AI-enabled tools to analyze marketing performance, validate insights, and develop business recommendations.
  • Marketing Analytics I
    Utilize statistical models and optimization tools to inform marketing decisions, apply marketing analytics to understand consumer behaviour, implement market segmentation and consumer choice models, and evaluate customer lifetime value to guide marketing strategy.
  • Tableau for Data Visualization and Storytelling
    Build interactive visualizations, dashboards, and data stories in Tableau. Work with filters, multiple datasets, calculated fields, table calculations, advanced charts, LODs, AI insights, and performance optimization to communicate business insights.

Tools Covered

LSU_Microsoft Copilot
LSU_Gemini
LSU_Excel
LSU_Python
UCSD_PM_Power_BI
LSU_MySQL
LSU_Tableau
LSU_Jupyter
Columbia_LangSmith
LSU_Zapier
Make_F
Columbia_n8n
UCSD_PM_Google_Analytics
MS-AGI-Visual-Studio-Code

Projects

  • Retail Sales Analysis with Excel and Copilot

    Analyze retail data to uncover trends in sales, profitability, customers, discounts, returns, and product performance using Excel and Copilot.

    Skills learned
    • Excel Analytics | Copilot
    Retail Sales Analysis with Excel and Copilot

  • Point of Sale Analytics with SQL

    Build a MySQL database from raw POS data, analyse customer, revenue, transaction and product trends, and present the insights in a report.

    Skills learned
    • MySQL | SQL Analysis
    Point of Sale Analytics with SQL

  • Exploratory Data Analysis with Python

    Use Python, NumPy, Pandas, and Jupyter Notebook to prepare data, apply statistical techniques, and uncover patterns through visual analysis.

    Skills learned
    • Python | Pandas
    Exploratory Data Analysis with Python

  • Predictive Analytics and Machine Learning

    Build regression, classification, ensemble, and clustering models, then evaluate performance using validation techniques and key metrics.

    Skills learned
    • Machine Learning | Model Evaluation
    Predictive Analytics and Machine Learning

  • Executive Sales Dashboard with Power BI

    Prepare and model sales data, create DAX-based metrics, and build interactive Power BI dashboards with clear business recommendations.

    Skills learned
    • Power BI | DAX
    Executive Sales Dashboard with Power BI

  • AI Powered Lead Intake Automation

    Automate lead intake and request handling with Zapier and n8n using data validation, AI enrichment, routing, alerts, and reporting.

    Skills learned
    • Zapier | n8n
    AI Powered Lead Intake Automation

  • AI Assisted Marketing Analysis

    Analyze marketing performance, validate AI-generated insights, assess business priorities, and develop clear executive recommendations.

    Skills learned
    • GA4 | Gemini
    AI Assisted Marketing Analysis

  • AI Agent Driven Sales and Marketing Analytics

    Bring together sales, leads, and marketing data to build KPI dashboards, automate insights with AI agents, and support lead prediction.

    Skills learned
    • AI Agents | LangSmith
    AI Agent Driven Sales and Marketing Analytics

  • Loan Approval Fairness Audit

    Audit a loan approval model for bias, assess fairness metrics, and create governance recommendations for responsible AI use.

    Skills learned
    • AI Governance | Fairness
    Loan Approval Fairness Audit

  • Sales Intelligence in Tableau

    Integrate sales data, create advanced calculations and visualizations, and build interactive Tableau dashboards and data stories.

    Skills learned
    • Tableau | Data Storytelling
    Sales Intelligence in Tableau

Program Advisors & Instructors

  • Sean Wiggins

    Sean Wiggins

    Executive Director, CVN, Columbia Engineering

    As a leader at CVN, Sean guides remote and hybrid curricular offerings, specializing in human-centered instructional design, faculty development, and teaching innovation. He collaborates with industry and academic partners to develop programs focused on emerging technologies.

  • Stephen Hobbs

    Stephen Hobbs

    Senior Analyst, Data & Reporting, Wells Fargo

    Data and reporting professional specializing in SQL, Power BI and business intelligence. Creates Power BI training content for Simplilearn covering data modeling, DAX and dashboard design.

  • Thomas Plunkett

    Thomas Plunkett

    Senior Principal Engineer, Oracle

    AI expert combining engineering, authorship, and patent-law expertise, with enterprise experience across GenAI, NLP, computer vision, and deep learning. 1st place, 2026 NVIDIA GTC Hack to Create.

  • Lisa Stuart

    Lisa Stuart

    Staff Data Scientist, Thermo Fisher Scientific

    Builds end-to-end machine learning solutions on Databricks. Delivered predictive analytics at Amazon, Starbucks and Expedia. Teaches data science and machine learning at DataCamp and QVersity.

  • Brandon Keith Vaughan

    Brandon Keith Vaughan

    Senior Data Scientist, Western Governors University | Ex-Dell Technologies

    Ph.D. statistician with 31+ years of experience. Builds production AI systems and predictive models serving 10,000+ students. Previously chaired WGU's data analytics degree programs.

  • Ginger Grant

    Ginger Grant

    Principal Consultant, Desert Isle Group

    Microsoft Data Platform MVP and Microsoft Certified Trainer who teaches certification classes on Fabric and Power BI. Authors LinkedIn Learning courses on data and machine learning.

  • Ojoswi Basu

    Ojoswi Basu

    Founder & Principal Consultant, Data2Vizuals, Millionaire Mastermind

    3x Tableau Ambassador and Founder of Data2Vizuals, delivering BI solutions for clients including OpenAI and CrowdStrike. Previously a BI Architect at RBC. Trained teams in self-serve analytics.

  • Dr Chester Ismay

    Dr Chester Ismay

    AI & Data Science Consultant and Educator | Portland State University

    Ph.D. statistician who teaches AI, machine learning and data analytics for O'Reilly, Udacity, Data Society and Portland State University. Previously led data science education at Flatiron School.

Program Mentors

  • Joseph E Wilson

    Joseph E Wilson

    20+ Years of Experience

    Founder & CEO

  • Dalila Glover

    Dalila Glover

    10+ Years of Experience

    Data Analytics & BI Trainer

  • Juan Herrera

    Juan Herrera

    6+ Years of Experience

    Power BI & Data Analytics Instructor

Still have questions?

Our dedicated team is prepared to answer them.

Total Program Fee

Program Fee $ 2,690

Pay in Installments

You can pay monthly installments using our payment partners with low APR and no hidden fees.

Program Cohorts

  • Limited seats Left

    Columbia EEE: AI-Powered Data Analytics: From Data to Decision Dec 2026

    • cohort date12 Dec, 2026 - 18 Apr, 2027
    • cohort calendarWeekendSa
    • cohort clock09:00 - 11:00 CST
    • InductionInduction on 10 Nov, 2026

Who Is This Program For?

Eligible student for this program
  • Working Analysts
  • Business & Operations Professionals
  • Technology Professionals
  • Career Switchers

Eligibility Criteria

  • Preferably 2+ years of professional work experience
  • Strong interest in data analytics and AI is recommended
  • A STEM background is preferred

How To Apply

  • 1
    Submit Application

    Apply for the program by completing a simple online application form

  • 2
    Reserve Your Seat

    Secure your seat by completing the program fee payment

  • 3
    Start Learning

    Begin your learning journey on the designated cohort start date

Start Application

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Demand For Program

According to the World Economic Forum’s Future of Jobs Report 2025, nearly 40% of skills required on the job are expected to change by 2030. For professionals already working with reports, dashboards, business data, or operational decisions, this shift is already taking shape. Companies increasingly expect analysts to go beyond reporting what happened. They need people who can uncover patterns, explain what matters, automate repetitive work, and help teams act faster.

That requires a broader mix of analytical thinking, AI, automation, and modern data skills. This program is built for that shift. It helps you strengthen core analytics skills, work across the full data lifecycle, and use AI responsibly to turn data into clear, business-ready insights.
 

Growing demand

Program FAQs

  • AI can now handle much of the routine work of pulling, cleaning, and charting data. As a result, the value of analytics is shifting from producing reports to asking the right questions, validating AI-generated insights, and turning data into decisions.

About Columbia Engineering Executive Education

Columbia Engineering Executive Education offers customized online programs designed to upskill working professionals and help organizations achieve their strategic goals. The institution addresses the evolving demands of today’s technology landscape by preparing future engineering leaders and fostering technical expertise across industries.

Columbia Engineering Executive Education has partnered with Simplilearn to offer comprehensive online programs designed to equip learners with practical, industry-relevant skills. These programs combine Simplilearn’s award-winning learning model with applied pedagogy to create immediate career impact.

About Columbia Engineering Executive Education