• Application closes on

    4 Nov, 2026

  • Program Duration

    15 weeks

  • Learning Format

    Live, Online, Interactive

Why Join this Program

  • icons
    Prestigious Credentials

    Earn a certificate from Columbia Engineering Executive Education and Simplilearn upon completion

    Earn a certificate from Columbia Engineering Executive Education and Simplilearn upon completion

  • icons
    AI-First Curriculum

    Apply AI across analytics, workflow automation, agent development, and responsible decision-making

  • icons
    Learn from Global Tech Experts

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

  • icons
    Mentor-Led Learning

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

Corporate Training

Enroll your employees into this program, NOW!

Program Overview

Today’s analytics professionals are expected to uncover patterns, reduce manual work, and turn data into faster business decisions. This AI-powered program builds those capabilities through modern analytics, workflow automation, agent development, and responsible practices.

Key Features

  • Simplilearn Career Service helps you get noticed by top hiring companies
  • Translate business questions into structured analytical workflows that support clearer, data-backed decisions
  • Apply exploratory, statistical, predictive, and machine learning techniques to real-world business problems
  • Apply AI throughout the curriculum, from Copilot-assisted analysis to workflow automation
  • Build AI agents for data analysis, visualization, and insight generation using hands-on tools and workflows
  • Build end-to-end analytics skills across Excel, SQL, Python, Tableau, and Power BI in one learning path
  • Go beyond dashboards by using Zapier, Make, and n8n to streamline modern analytics workflows
  • Use Google Analytics 4 and Gemini to analyze performance, generate insights, and support forecasting
  • Address privacy, fairness, compliance, and governance considerations in data and AI-driven decision-making
  • Explore real AI use cases and hands-on labs every 15 days at AI-Impact Studio by Simplilearn

Program Advantage

Earn a credential from Columbia Engineering Executive Education and Simplilearn as proof of your applied analytics skills

  • Illustrative certificate only

    Earn Professional Certificate

    • Curriculum reviewed & approved by Columbia Engineering faculty
    • Apply analytics, AI, and automation to business challenges through a portfolio of projects and a capstone

Program Details

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.

Learning Path

  • 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
    • Understand the foundations and different types of data analytics
    • Explore the role of a data analyst, business KPIs, data quality, and ETL
    • Translate business questions into structured data questions
    • Understand traditional and AI-enabled analytics workflows
  • AI-Enhanced Business Analytics with Excel and Copilot
    • Prepare, clean, structure, and analyze business data in Excel
    • Work with functions, PivotTables, Power Pivot, DAX, and visualizations
    • Use Copilot to support AI-assisted analysis
    • Analyze sales, profitability, customers, products, discounts, returns, and trends
  • SQL for Data Extraction and Transformation
    • Use MySQL to extract, filter, join, aggregate, and transform business data
    • Work with window functions, nested queries, and CTEs
    • Apply query optimization techniques
    • Use Copilot to support SQL querying, improvement, and debugging
  • Python for Exploratory Data Analysis
    • Develop Python fundamentals for data analysis
    • Work with programming concepts, data structures, and functions
    • Use environments such as Jupyter Notebook
    • Establish the programming foundation needed to explore and analyze data
  • Applied Data Analytics with Python
    • Apply Python to data cleaning and exploratory analysis
    • Use NumPy and Pandas to prepare analytics-ready datasets
    • Apply statistical analysis to uncover patterns in business data
    • Create meaningful visual insights from analyzed data
  • Power BI for Data Visualization and Storytelling
    • Learn data preparation with Power Query and data modeling
    • Work with DAX and interactive visualization
    • Explore built-in AI capabilities and report design
    • Learn 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 and enrich records with AI
    • Route requests, trigger alerts, and generate reports
    • Apply testing and error handling to analytics workflows
  • AI Agents for Intelligent Data Analytics
    • Understand AI agents, prompt engineering, and multi-agent systems
    • Use agents for data analysis and visualization
    • Explore intelligent approaches to analytics workflows
    • Evaluate and deploy workflows using LangSmith
  • Designing Ethical AI: Privacy, Compliance, and Governance
    • Examine data ethics, privacy, fairness, and compliance
    • Evaluate bias and fairness in AI-driven work
    • Understand responsible AI considerations
    • Develop governance-focused recommendations for compliant AI decision-making
  • AI Powered Data Analytics Capstone

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
  • Predictive Analytics and Machine Learning Essentials
    • Apply regression, classification, ensemble, and clustering models
    • Learn model validation techniques and performance metrics
    • Work with supervised and unsupervised learning methods
    • Apply predictive approaches 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
    • Explore reports and analysis using Google Analytics 4
    • Use Gemini for insight generation and forecasting
    • Create role-based smart dashboards
    • Analyze marketing performance, validate insights, and develop 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
    • Create interactive visualizations, dashboards, and data stories
    • Work with filters, multiple datasets, and calculated fields
    • Apply table calculations, advanced charts, and LODs
    • Explore AI insights and performance optimization in Tableau

Contact Us

1-844-532-7688

(Toll Free)

16+ Skills Covered

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

14+ Tools Covered

LSU_Microsoft CopilotLSU_GeminiLSU_ExcelLSU_PythonUCSD_PM_Power_BILSU_MySQLLSU_TableauLSU_JupyterColumbia_LangSmithLSU_ZapierMake_FColumbia_n8nUCSD_PM_Google_AnalyticsMS-AGI-Visual-Studio-Code

Projects

  • Project 1

    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.

  • Project 2

    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.

  • Project 3

    Exploratory Data Analysis with Python

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

  • Project 4

    Predictive Analytics and Machine Learning

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

  • Project 5

    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.

  • Project 6

    AI Powered Lead Intake Automation

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

  • Project 7

    AI Assisted Marketing Analysis

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

  • Project 8

    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.

  • Project 9

    Loan Approval Fairness Audit

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

  • Project 10

    Sales Intelligence in Tableau

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

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

prevNext

Program Advisors and Trainers

Program Advisors

  • 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.

  • Thomas Plunkett

    Thomas Plunkett

    Senior Principal Engineer

    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

    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

    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

    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

    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

    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.

  • 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.

prevNext

Program Trainers

  • 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

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

Access to workshops, networking tools, and community support

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

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

Build an ATS-friendly resume using the AI Resume Builder

Build an ATS-friendly resume using the AI Resume Builder

Practice anytime with the AI-powered Mock Interview Coach

Practice anytime with the AI-powered Mock Interview Coach

Future-Ready Data Analytics

Strong analytical thinking and technology skills are becoming essential for working with data. This program helps professionals move beyond traditional reporting and build capabilities in modern analytics, AI-enabled tools, and data-driven decision-making.

Job Icon39% Skills Shift by 2030

Core skills are expected to evolve significantly across the workforce.

Source: WEF
Job Icon35% Data Science Growth

U.S. data scientist jobs are projected to grow through 2035.

Source: BLS
Job Icon21% Analytics Growth

Operations research roles are projected to expand through 2034.

Source: BLS

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
    Sector
    IT & Software - 30%BFSI - 20%Healthcare & Pharma - 15%Retail & E-commerce - 12%Manufacturing - 10%Others - 13%
    Companies
    142-Microsoft
    142-Meta
    142-Pwc
    142-Amazon
    142-Netwest
    142-JP Morgan & Chase
    142-Databricks
    142-Audi
    142-Broadridge
    142-Google

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

Apply for the program by completing a simple online application form

STEP 2

Reserve Your Seat

Secure your seat by completing the program fee payment

STEP 3

Start Learning

Begin your learning journey on the designated cohort start date

Eligibility Criteria

For admission to the AI-Powered Data Analytics: From Data to Decisions, candidates should:

Preferably have 2+ years of professional work experience
Have a strong interest in data analytics and AI
A STEM background is preferred

Admission Fee & Financing

The admission fee for this program is $2,690.

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

$2,690

Pay In Installments, as low as

$269/month

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

Apply Now

Program Benefits

  • Master the end-to-end data analytics lifecycle
  • Apply AI across analysis, automation, and agents
  • Turn data into stakeholder-ready business insights
  • Gain exposure to 14+ analytics and AI tools
  • Complete 10+ projects and a capstone

Program Cohorts

Next Cohort

Got Questions Regarding Cohort Dates?

FAQs

  • Why is AI-powered data analytics becoming an important skill now?

    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.

  • Does this AI-Powered Data Analytics: From Data to Decisions program offer any financial aid?

    To ensure that money is not a barrier to learning, we offer various financing options to help make this program financially manageable. Please refer to our “Admissions Fee and Financing” section for more details.

  • How has the role of the data analyst evolved with AI?

    Analysts used to focus mainly on reports that explained what had already happened. Today’s analysts increasingly use AI assistants to write queries and code, apply predictive models to anticipate what comes next, and work with automated workflows and AI agents that surface insights and recommend action.

  • Why is trustworthy AI-driven analysis harder to deliver?

    AI makes it easy to generate a plausible-looking chart or insight, but not every output is accurate. Clean data, clear business definitions, human validation, and attention to privacy, bias, and governance all become critical. Without them, AI-generated insights can lead to poor decisions.

  • What skills are becoming important for data analytics professionals?

    Professionals increasingly need to combine core skills like SQL, Python, statistics, and data visualization with newer abilities: framing business problems, automating workflows, working with AI agents, validating AI outputs, and applying responsible AI practices.

  • How does this program prepare me for this shift?

    Over 15 weeks of live, mentor-led learning, the program takes you through the complete analytics lifecycle:

    • Framing business questions and preparing and analyzing data with Excel and Copilot, SQL, and Python
    • Building dashboards and data stories in Power BI
    • Automating workflows with Zapier, Make, and n8n
    • Building AI agents with LangChain, CrewAI, and Flowise
    • Assessing privacy, fairness, and governance risks

    You apply these skills through hands-on projects and a capstone, so you can deliver stakeholder-ready recommendations you can trust.

Related Programs

Recommended Learning Materials for Upskilling

Explore free webinars, tutorials, career guides, and practical reads to go deeper

Upcoming Webinars - Free Masterclasses

  • Acknowledgement
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, OPM3 and the PMI ATP seal are the registered marks of the Project Management Institute, Inc.
  • *All trademarks are the property of their respective owners and their inclusion does not imply endorsement or affiliation.
  • Career Impact Results vary based on experience and numerous factors.