• Program Fees

    $3,500

    As low as $350/month

  • Application closes on

    14 Jul, 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

Data Analytics Certificate Program Overview

This Data Analytics certification program is ideal for all working professionals and prior programming knowledge is not required. It covers job-critical topics like data analysis, data visualization, regression techniques, and supervised learning in-depth via our applied learning model with live sessions by leading practitioners and industry projects.

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 Certificate 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 Certificate 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

  • Induction Session for Purdue Data Analytics Program

    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.

  • PC DA - Business Analytics with Excel
    • 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
  • PC DA - Data Acquisition and Manipulation using SQL
    • 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
  • PC DA - Extract, Transform, and Load (ETL)
    • 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
  • PCDA - PL-300 Microsoft Power BI Certification
    • 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
  • PC DA - Fundamentals of Python Programming
    • 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
  • PC DA - Data Analytics with Python
    • Python packages for data analytics​
    • Statistical functions
    • Categorical data and working with text data
    • Explorative Data Analysis (EDA)
    • Hypothesis testing mechanism
    • Data visualization
  • PC DA - Generative AI Literacy
    • 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.
  • PC DA - Applications of Generative AI in Data Analytics
    • 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
  • PC DA - IBM - Generative AI for Business Professionals
    • 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
  • PC DA - Capstone Project
    • 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:
  • Academic Masterclass by Purdue University Online

    Attend an online interactive masterclass and get insights about advancements in technology/techniques in Data Science, AI, and Machine Learning.

  • Industry Master Class – Data Analytics

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

  • PC DA - Data Visualization using Tableau
    • 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
  • PC DA - Data Ethics
    • 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
  • PC DA - IBM Prompt Engineering Essentials
    • 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
  • PC DA - IBM Responsible and Ethical Generative AI
    • 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

Contact Us

1-844-532-7688

( Toll Free )

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.

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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.

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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

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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 Certificate Program caters to working professionals across industries. Learner diversity adds richness to class discussions and interactions.

  • Industry
    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
    course learners from Amazon, San Jose
    course learners from Ernst & Young, San Jose
    course learners from Fidelity Investments, San Jose
    course learners from Johnson and Johnson, San Jose
    course learners from Vodafone, San Jose
    course learners from Broadcom, San Jose
    course learners from Accenture, San Jose
    course learners from Nomura Holdings, San Jose
    course learners from Ericsson, San Jose
    course learners from Infosys, San Jose
    course learners from Nvidia, San Jose
    course learners from Tata Consultancy Services, San Jose

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 Certificate Program, 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 Certificate Program 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 Certificate Program FAQs

  • What is the salary of a Data Analytics Expert in San Jose?

    The expected average salary for a professional who has done Data Analytics courses in San Jose is $110962. One of the fastest-growing courses, the basic qualifications include SQL, critical thinking, data management, analysis, and fluid communication skills. One may attain a highly compensated Data Analytics specialist in San Jose by constantly expanding one's knowledge, talents and acquiring work experience.

  • What are the major companies hiring Data Analytics Expert in San Jose?

    The Data Analytics Expert is one of the jobs that are highly in demand. The prominent companies hiring Data Analytics Experts in San Jose are Nextaff, Realtor.com, San Jose State University, PayPal, Inc., Auticon, and many more. On completing the Data Analytics courses in San Jose, the learner can land up in various industries depending on the interest and skills.

  • What are the major industries in San Jose?

    Financial services, healthcare, information technology, digital media, social services, and manufacturing are the key industries of San Jose that contribute the most to GDP. Being the point of technological advancement and capital, the demand for Data Analytics training in San Jose is high. The San Jose Data Analytics course provides a fantastic opportunity to learn more and explore better choices.

  • What is the salary of a Data Analytics Expert in San Jose?

    The expected average salary for a professional who has done data analytics courses in San Jose is $110962. One of the fastest-growing courses, the basic qualifications include SQL, critical thinking, data management, analysis, and fluid communication skills. One may attain a highly compensated data analytics specialist in San Jose by constantly expanding one's knowledge, talents and acquiring work experience.

  • What are the major companies hiring Data Analytics Expert in San Jose?

    The Data Analytics Expert is one of the jobs that are highly in demand. The prominent companies hiring Data Analytics Experts in San Jose are Nextaff, Realtor.com, San Jose State University, PayPal, Inc., Auticon, and many more. On completing the data analytics courses in San Jose, the learner can land up in various industries depending on the interest and skills.

  • What are the major industries in San Jose?

    Financial services, healthcare, information technology, digital media, social services, and manufacturing are the key industries of San Jose that contribute the most to GDP. Being the point of technological advancement and capital, the demand for data analytics training in San Jose is high. The San Jose data analytics course provides a fantastic opportunity to learn more and explore better choices.

  • What are the different roles in data analytics?

    As more companies rely on data for their decision-making process, the field of data analytics has evolved into several specialized roles. Some of these roles include:

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

  • What are the top responsibilities of a data analytics expert?

    Data analytics professionals help organizations make informed and data-driven decisions.  Their key responsibilities include:

    • Extracting data from databases, APIs, or cloud services
    • Preprocessing and normalizing data for analysis
    • Performing statistical analysis and building predictive models
    • Designing data visualizations using tools like Tableau or Power BI

  • How do I enroll in this Data Analytics Certificate Program?

    The enrollment for the Data Analytics Certificate Program can be done in the following steps:

    • Candidates can click the 'Enroll Now' button and complete the online application form. The form will then redirect to a payment checkout 
    • Completing the payment will ensure enrollment in the next cohort 
    • Candidates will receive a payment receipt and LMS access information once payment is confirmed

  • What is the salary of a data analyst?

    The average salary of a data analyst depends on experience, education, geographic location, industry, and the specific job role. Below are the average annual salaries in different countries

  • What are the top industries implementing data analytics?

    Many industries use data analytics to make better decisions, reduce costs, and improve customer experience. Here are some of the top industries utilizing data analytics:

    • Retail and e-commerce
    • Healthcare and pharmaceuticals
    • Finance and banking
    • Telecommunications
    • Education
    • Real estate

Post Graduate Program In Data Analytics, San Jose

San Jose is the most populous city and is well-known for its cultural, economic, and political significance. San Jose is the tenth most populous city in the powerful country of the United States, with a total population of 1021795 people, according to 2019 statistics. San Jose, California, is a gorgeous city with a land area of 179.97 square miles. The CSA of San Jose and San Francisco work together, with a total GDP of $1 billion in 2018.

San Jose, the Silicon Valley's capital, has a Mediterranean climate. San Jose is nestled in the Santa Clara Valley, sandwiched between the Diablo and Santa Cruz mountain ranges to the east and west, adding to its attractiveness. It contains around 15,950 acres of parks inside its municipal boundaries. San Jose has the most millionaires and billionaires in the country, making it the most economically powerful city.

San Jose is a lovely city with a thriving performing arts scene. The city is loaded with beautiful sites to visit, including parks, museums, observatories, monuments, statues, and much more. Exploring the city is a fascinating experience, made even more exciting by the ideal temperature and pleasant people. The following are the finest sites to visit in San Jose:

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