• Program Fees

    $3,500

    As low as $350/month

  • Application closes on

    21 Apr, 2025
  • Program duration

    8 months
  • Learning Format

    Live, Online, Interactive

Why Join this Program

  • icons
    Purdue’s Academic Excellence

    Joint certificate from Simplilearn and Purdue University Online

    Joint certificate from Simplilearn and Purdue University Online

  • icons
    IBM’s Industry Prowess

    Obtain IBM certificates for IBM courses and get access to masterclasses by IBM

  • icons
    Career Assistance

    Build your Resume and highlight your profile to recruiters with the career assistance services

  • icons
    Hands-on Experience

    14+ industry-relevant projects from the likes of Google,Zomato and IBM and many more

Corporate Training

Enterprise training for teams

Data Analytics And GenAI Program Overview

This Professional Certificate in Data Analytics and Generative AI program is ideal for professionals from all backgrounds. It covers Excel, SQL, Python, Tableau, Power BI, and generative AI techniques via hands-on projects, live sessions with industry experts, and case studies to ensure real-world relevance

Key Features

  • Simplilearn Career Service helps you get noticed by top hiring companies
  • Professional Certificate in Data Analytics and Generative AI and Purdue University Online Alumni Association membership
  • Exclusive hackathons and Ask me Anything sessions by IBM
  • Live sessions on the latest AI trends, such as generative AI, prompt engineering, explainable AI, and more
  • Capstone from 3 domains and 14+ Data Analytics Projects with Industry datasets from Google PlayStore, Lyft, World Bank etc.
  • Master Classes delivered by Purdue faculty and staff and IBM experts
  • Hands-on projects across the data analytics lifecycle and generative AI
  • Generative AI modules covering foundational concepts and applications

Data Analytics And GenAI Program Advantage

The Professional Certificate in Data Analytics & Generative AI course leverages Purdue’s academic excellence and Simplilearn’s collaboration with IBM, providing extensive theoretical knowledge and applied learning.

  • Data Analytics Certificate

    Partnering with Purdue University

    • Receive a joint Purdue-Simplilearn certificate
    • Masterclasses by Purdue faculty and staff
    • Purdue University Alumni Association membership
  • Data Analytics IBM Certificate

    Program in Collaboration with IBM

    • Industry-recognized certificates from IBM
    • Industry masterclasses conducted by IBM
    • Exclusive hackathons and Ask Me Anything (AMA) Sessions with IBM leadership

Data Analytics And GenAI Program Details

Fast-track your career with comprehensive coverage of Excel, SQL, ETL, Power BI, Python programming, data visualization, generative AI literacy, real-world AI applications, and a capstone project, supplemented by electives in data ethics and industry masterclasses.

Learning Path

  • Get started with this Data Analytics Program in partnership with Purdue University Online and explore everything about this Data Analytics certification. Start your journey with the preparatory courses on Statistics and an Introduction to Data Analytics along with SQL training.

    • Build a strong foundation in Data Analytics with statistics
    • Learn core statistical concepts and techniques
    • Understand the role of statistics in data-driven decision-making
    • Gain essential skills for advanced analytics workflows
    • Start your Data Analytics journey with the right fundamentals
    • Learn to work with SQL databases from the ground up
    • Understand fundamental SQL statements and syntax
    • Use conditional statements and commands effectively
    • Apply joins, sub-queries, and functions in real-world scenarios
    • Manage and scale SQL databases for application development
    • Build a strong foundation for database-driven applications
    • Learn ETL fundamentals in data analysis
    • Extract structured/unstructured data incrementally
    • Create transformation rules
    • Use ETL tools: Nifi, Talend, etc.
    • Load data into repositories
    • Distinguish between batch vs. real-time ETL
    • Implement real-time processing
    • Optimize with parallel processing
    • Schedule, monitor ETL workflows
    • Analyze data for valuable business insights with Power BI
    • Create interactive dashboards for effective decision-making
    • Enhance operational efficiency
    • Develop dashboards from published reports
    • Utilize Quick Insights for rapid data pattern discovery
    • Adopt practical approaches within Power BI
    • Learn procedural and object-oriented programming 
    • Install and navigate Jupyter 
    • Learn data types, loops, scope, OOP principles, methods, attributes, and threading
    • Understand Python's benefits and use cases
    • Python packages for data analytics​
    • Statistical functions
    • Categorical data and working with text data
    • Explorative Data Analysis (EDA)
    • Hypothesis testing mechanism
    • Data visualization
    • Foundations of Machine Learning and Generative AI.
    • Generative AI Algorithms: Neural Networks, GANs, and Transformers.
    • Large Language Models (LLMs) and Their Applications in Chatbots.
    • Image Generation Techniques: GANs, Diffusion Models, and VAEs.
    • Hands-On Practice with AI Tools: Chat GPT, Stable Diffusion, and more.
    • Explore Video Generation using Generative AI.
    • Prompt Engineering for Chatbots and AI-Driven Image Generation.
    • Overview of generative AI in data analytics
    • Data augmentation using generative AI
    • Generative AI for tailored data visualization
    • Generative AI in data exploration
    • AI-optimized ETL processes
    • Generative AI in data modeling and forecasting
    • Challenges in integrating generative AI
    • Future directions in generative AI
    • Learn to apply generative AI for business growth and career advancement
    • Explore industry-specific AI applications and opportunities
    • Prepare businesses for successful generative AI adoption
    • Identify career paths and skill enhancement with generative AI
    • Gain hands-on experience through labs and projects
    • Understand custom GPTs and AI personalization
    • Learn from industry experts about trends and real-world use cases
    • Apply your Data Analytics skills in a hands-on capstone project
    • Work on an industry-relevant, real-world scenario
    • Integrate concepts from all program courses into one project
    • Build a portfolio-worthy outcome to showcase your expertise
    • Demonstrate end-to-end problem-solving in data analytics
Electives:
  • Attend an online interactive masterclass and get insights about advancements in technology/techniques in Data Science, AI, and Machine Learning.

  • Attend this interactive, online industry master class to gain insights about cutting edge Data Analytics advancements and techniques.

    • Gain Tableau visualization expertise
    • Emphasize data organization for insightful visuals
    • Learn combo charts, stories, filters, parameters, and sets
    • Learn interactive dashboard creation
    • Take a practical approach to informed decision-making
    • Learn ethical responsibilities in data analytics
    • Understand privacy concerns and security protocols
    • Explore legal frameworks and regulatory standards
    • Identify and mitigate biases in data handling
    • Apply ethical decision-making frameworks
    • Ensure responsible data visualization practices
    • Analyze the societal impact of data analytics
    • Learn effective prompting for generative AI tools
    • Explore zero-shot, few-shot, and Interview Pattern techniques
    • Understand Chain-of-Thought and Tree-of-Thought prompting
    • Use tools like IBM watsonx Prompt Lab, Spellbook, and Dust
    • Gain hands-on experience through labs and demos
    • Learn from practitioner insights and expert guidance
    • Designed for professionals, executives, developers, and students
    • Explore ethical concerns in Generative AI: privacy, security, bias
    • Understand workforce impacts, deepfakes, and socioeconomic effects
    • Learn responsible AI practices and governance
    • Gain insights into transparency and accountability
    • Analyze real-world cases and practical scenarios
    • Engage in hands-on, interactive modules and projects

11+ Skills Covered

  • Data Analytics
  • Generative AI
  • Data Storytelling
  • Data Ethics
  • SQL
  • Python
  • ETL
  • Statistical Analysis Using Excel
  • Data Analytics Using Python
  • Data Visualization With Tableau
  • Data Visualization With PowerBI

21+ Tools Covered

Microsoft ExcelSQLtableaupythonMatPlotlibNumPypandasJUPYTERAWS GLUEamazon s3ChatGPTZapierInvideo.aiUizardOtter AIJulius.aiMIRODescriptGeminiClaude3PowerBI

Industry Projects

  • Project 1

    Rating Prediction for Apps on Google Play Store

    Make a model to predict the app rating, with other information about the app provided to boost its visibility.

  • Project 2

    Demand Forecast for Walmart

    Predict store sales and demand, factoring in economic conditions for the retail giant Walmart’s stores across the United States.

  • Project 3

    Designing a Sales dashboard in Excel

    Explore Excel to analyze sales based on various product categories.

  • Project 4

    Online Car Rental Platform

    Build an online car rental platform where customers should be able to view the available cars that can be rented based on categories

  • Project 5

    Comparison of Regions Based on Sales

    Build a dashboard to visualize the region-wise sales performance and suggest the necessary improvements.

  • Project 6

    Healthcare

    Identify the causes and develop a system to predict heart attacks in an effective manner using the datasets on the factors that might have an impact on cardiovascular health.

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 Advisors and Trainers

Program Advisors

  • Patrick J. Wolfe

    Patrick J. Wolfe

    Frederick L. Hovde Dean of the College of Science at Purdue University

    Patrick J. Wolfe, an award-winning researcher in the mathematical foundations of data science, is the Frederick L. Hovde Dean of the College of Science at Purdue University and was named the 2018 Distinguished Lecturer in Data Science by the IEEE.

prevNext

Program Trainers

  • Christopher Hemmel

    Christopher Hemmel

    20+ years of experience

    Business Data Analyst

  • Sonal Ghanshani

    Sonal Ghanshani

    10+ years of experience

    Consultant and Corporate Trainer

  • Shubham Pandey

    Shubham Pandey

    11+ years of experience

    Strategy Consultant

  • Sayan Dey

    Sayan Dey

    11+ years of experience

    Data Scientist | Corporate Trainer

prevNext

Career Support

Simplilearn Career Assistance

Simplilearn’s Career Assist program, offered in partnership with Talent Inc, is a service that helps you to be career-ready for the workforce and land your dream job in U.S. markets.
One-on-one Interview Service by TopInterview

One-on-one Interview Service by TopInterview

Get a Resume Makeover from TopResume

Get a Resume Makeover from TopResume

Reach numerous employers with ResumeRabbit

Reach numerous employers with ResumeRabbit

30-day premium subscription to career.io

30-day premium subscription to career.io

Join the Data Analytics industry

The global data analytics market is valued at $69.54B in 2024 and is projected to grow at a 28.7% CAGR from 2025 to 2030, driven by rising adoption of big data tools across industries. (Source: Grand View Research)

Job Icon11.5 M

Expected New Jobs For Data Science And Analytics

Source: US bureau of Labor
Job Icon28%

Annual Job Growth By 2026

Source: Dice 2020 report
Job Icon$46K-$100K

Average Annual Salary

Source: Glassdoor

Batch Profile

This Data Analytics Course caters to working professionals across industries. Learner diversity adds richness to class discussions and interactions.

  • The class consists of learners from excellent organizations and diverse industries
    Industry
    Information Technology - 32%BFSI - 19%Software product - 13%Pharma & Healthcare - 11%Retail - 10%Others - 15%
    Companies
    Amazon
    Ernst & Young
    Fidelity Investments
    Johnson and Johnson
    Vodafone
    Broadcom
    Accenture
    Nomura Holdings
    Ericsson
    Infosys
    Nvidia
    Tata Consultancy Services

Alumni Review

I had a great learning experience, and the faculty was very encouraging. The projects were vital in helping me understand whatever I learned during the course. I have also gained a lot of great professional contacts through this course. The course was very well structured, too.

Rose Ashford

Business Consultant

What other learners are saying

Admission Details

Eligibility Criteria

For admission to this Data Analytics Certification Course, candidates:

Have a High School Diploma/ Bachelor's Degree or equivalent
Prior work experience is not mandatory
Can be from programming or non-programming background

Admission Fee & Financing

The admission fee for this Data Analytics Course is $3,500, which covers applicable certification charges & Alumni Association membership fee.

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

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.

Program Cohorts

Next Cohort

Got questions regarding upcoming cohort dates?

Data Analytics And GenAI Program FAQs

  • What is a data analytics certificate?

    A data analytics certificate is a professional credential demonstrating an individual's proficiency in collecting, organizing and analyzing data to derive insights and make data-driven decisions. It typically involves completing a course curriculum focused on various aspects of data analytics, such as data collection, cleaning, visualization, and interpretation. 

    It provides comprehensive training in essential skills and tools, offering practical experience and industry-recognized validation of your abilities to analyze and interpret data effectively. Once earned, this certification is a powerful endorsement of your skills and knowledge in data analytics.

  • What does a data analyst do?

    Just about everything is data-driven these days, from market research and sales figures to expenses and logistics. While it can be overwhelming to most people, this is where data analysts come into play. The aim of data analysts is to analyze data and extract meaningful insights from raw data. This is done by collecting, cleaning, and interpreting large and complex data sets to answer a business question or solve a problem.

    Analysts are required to have data analysis skills be well-versed in using basic data analytics concepts like statistics, data mining, core math, and machine learning models to do this. This data analytics course provides the skills to navigate this data overload, make it a manageable and valuable resource and finally, derive logical insights.

  • What are the benefits of enrolling in this data analytics course?

    This data analytics course is ideal for newcomers as it covers enough information for entry-level positions while catering to more experienced professionals, providing an added layer of learning to enhance their proficiency. Some of the benefits of enrolling in this course include:

    • Joint program completion certificate from Purdue University Online and Simplilearn
    • Master classes delivered by Purdue faculty and IBM experts
    • Dedicated courses and separate certificates from IBM
    • Live sessions on the latest AI trends, such as generative AI, prompt engineering and explainable AI
    • A capstone project from three domains and 14+ Data Analytics Projects with Industry datasets from Google PlayStore, Lyft, and the World Bank

  • What are the different roles in data analytics?

    With data analytics growing in prominence and complexity, the domain has broken down into more specific roles. Some of these roles include:

    • Business intelligence analyst
    • Data analyst
    • Data scientist
    • Data engineer
    • Data visualizer
    • Quantitative analyst
    • Operations analyst
    • Data analytics consultant

    And more

  • What are the top responsibilities of a Data Analytics Expert?

    Data analytics experts are integral to organizations today, transforming raw data into meaningful insights that drive business strategy and operations, helping them gain competitive advantages, optimize processes, and achieve business objectives. Some of their top responsibilities include:

    • Gathering data from different sources and preparing it for analysis by cleaning and organizing it
    • Analyzing the data and identifying patterns, trends, and any connections
    • Creating visual representations of data, such as charts, graphs, and dashboards.
    • Deriving insights and conclusions and making them more presentable and accessible
    • Collaborating with other stakeholders to make insight-driven decisions for the organization

  • What is the demand for Data Analytics Experts?

    According to Allied Market Research, the global big data and business analytics market was valued at $198.08 billion in 2020 and is projected to reach $684.12 billion by 2030. Today, data collection and processing remain essential parts of any organization's process. This value growth underscores the increasing importance and urgent demand for data analytics to gain a competitive edge.

    As a result, data analysis has also become an important task in determining any organization's future. Companies are constantly searching for qualified professionals skilled at analyzing complex sets of data, making sense of it and leveraging it for business benefit.

  • Who are the instructors for this data analytics course, and how are they selected?

    Our highly qualified instructors are data analytics and business intelligence experts with years of relevant industry experience. Each has gone through a rigorous selection process that includes profile screening, technical evaluation, and a training demo before they are certified to train for us. We also ensure that only trainers with a high alumni rating remain part of our faculty.

  • How do I enroll in this data analytics course?

    The admission process for the data analytics course consists of three simple steps:

    • All interested candidates are required to apply through the online application form
    • An admission panel will shortlist the candidates based on their application
    • An offer of admission will be made to the selected candidates and is accepted by paying the program fee.

  • What is the salary potential of a data analytics professional?

    Data analytics professionals generally enjoy competitive salaries due to the high demand for their skills. That said, the salary potential of a data analytics professional can vary widely based on factors such as experience, education, geographic location, industry, and the specific job role. A data analyst's average annual salary over a year is USD 67,574.

  • Can I enroll in a Data Analytics Course if I don't have any prior knowledge in Data Analysis?

    Yes, you can enroll in this data analytics course even if you have no prior knowledge. This course will take you from the fundamentals to the top of the ladder, where you will learn all the advanced skills to handle any critical task as a data analytics professional.

  • What are the top industries implementing data analytics?

    Data analytics is widely implemented across different industries to leverage data-driven insights to optimize operations, enhance customer experiences, and drive strategic decisions. Here are some of the top industries utilizing data analytics:

    • Retail and ecommerce
    • Healthcare and pharmaceuticals
    • Finance and banking
    • Telecommunications
    • Education
    • Real estate

  • Will I be able to access the content after completion of the Data Analytics Course?

    Yes, you can access the self-paced course content even after the completion of the Data Analytics Course.

  • What is covered under the 24/7 support promise?

    We offer 24/7 support through chat for urgent issues. For other queries, we have a dedicated team that offers email assistance and callbacks on request.

  • What is the refund policy for this Data Analytics Course?

    To learn more about cancellation refunds, please read our refund policy

  • Are there any other online courses Simplilearn offers under Data Science?

    Absolutely! Simplilearn offers plenty of options to help you upskill in Data Science. You can take advanced certification training courses or niche courses to sharpen specific skills. Whether you want to master new tools or stay ahead with the latest trends, there's something for everyone. These courses are designed to elevate your knowledge and keep you competitive in the Data Science field.

    Similar programs that we offer under Data Science:

  • Will missing a live class affect my ability to complete the course?

    No, missing a live class will not affect your ability to complete the course. With our 'flexi-learn' feature, you can watch the recorded session of any missed class at your convenience. This allows you to stay up-to-date with the course content and meet the necessary requirements to progress and earn your certificate. Simply visit the Simplilearn learning platform, select the missed class, and watch the recording to have your attendance marked.

  • Will any preparation material be provided for this data analytics course?

    Once you pay the course fee or the first installment, you will be given access to a preparatory program with eight to ten hours of self-paced learning content in the form of videos.

  • Does Simplilearn have corporate training solutions?

    Simplilearn for Business works with Fortune 500 and mid-sized companies to provide their workforce with digital skills solutions for talent development. We offer diverse corporate training solutions, from short skill-based certification training to role-based learning paths. We also offer Simplilearn Learning Hub+ - a learning library with unlimited live and interactive solutions for the entire organization. Our curriculum consultants work with each client to select and deploy the learning solutions that best meet their teams’ needs and objectives.

  • Are Simplilearn’s courses eligible for reimbursement by my employer?

    Yes, Simplilearn’s Post Graduate Program in Data Analytics, offered in collaboration with Purdue University, is eligible for employer reimbursement. We'd recommend confirming the specific terms of educational benefits or tuition assistance programs with your HR department or employer. Purdue University also accepts tuition vouchers, which can streamline reimbursement.

    To claim your reimbursement, Simplilearn offers completion certificates, detailed receipts, and course breakdowns, which can be submitted to your employer or HR department.

  • 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.