• Master core statistical concepts and techniques

• Learn to make data-driven business decisions

• Build a strong foundation for advanced analytics

• Understand SQL syntax and query structure

• Use joins, sub-queries, and functions effectively

• Manage databases and scale data operations

• Learn ETL fundamentals for data integration

• Work with tools like NiFi, Talend, and more

• Optimize batch and real-time ETL processes

• Schedule and monitor workflows efficiently

• Build interactive dashboards and reports

• Use Quick Insights and practical Power BI features

• Enhance business decision-making with data visualization

• Learn procedural and object-oriented programming

• Understand loops, data types, OOP, and threading

• Navigate Jupyter and explore Python's use cases

• Work with Python libraries: NumPy, pandas, matplotlib

• Perform EDA, hypothesis testing, and data visualization

• Analyze text and categorical data

• Understand ML and Generative AI foundations

• Explore neural networks, GANs, Transformers, LLMs

• Hands-on tools: ChatGPT, Stable Diffusion, and more

• Practice prompt engineering for chatbots and image generation

• Use generative AI for data augmentation and visualization

• Explore AI-driven ETL, forecasting, and modeling

• Address integration challenges and future trends

• Learn real-world business applications of AI

• Understand career and business opportunities in AI

• Gain hands-on project experience with custom GPTs

• Solve an industry-relevant business problem

• Apply knowledge from all courses in a hands-on project

• Showcase your skills with a portfolio-ready solution

Gain insights into the latest advancements in Data Science, AI, and ML through live interactive sessions led by Purdue faculty.

Engage with industry leaders to explore cutting-edge Data Analytics techniques and trends.

• Build compelling visualizations

• Create interactive dashboards and learn advanced features

• Emphasize data storytelling for better decision-making

• Understand ethical and legal responsibilities in data handling

• Learn bias mitigation, security, and privacy principles

• Apply ethical decision-making frameworks in real-world contexts

• Master prompt techniques like zero-shot and few-shot prompting

• Work with tools such as IBM watsonx Prompt Lab

• Gain hands-on experience through guided labs and demos

• Explore challenges like bias, deepfakes, and privacy risks

• Understand responsible AI governance and transparency

• Learn from real-world use cases and interactive exercises

Create a model to forecast sales and product demand across Walmart stores in the U.S., incorporating economic indicators to enhance retail planning.

Use Microsoft Excel to analyze and visualize sales data across different product categories through an interactive dashboard.

Design a web-based car rental system that allows users to browse and rent vehicles based on categories such as type, availability, and pricing.

Develop a dashboard to compare sales performance across various regions and provide actionable insights for strategic improvements.

Analyze healthcare data to identify risk factors and build a predictive model that effectively forecasts heart attacks, supporting early intervention strategies.

In today’s data-centric world, every industry—from retail to logistics—is powered by data. Data analysts play a vital role in turning vast, unstructured data into actionable insights. Their work involves collecting, cleaning, and interpreting large datasets to solve business challenges. By leveraging tools like statistics, data mining, mathematics, and machine learning, analysts uncover patterns and trends that drive smarter decisions. This PG program equips learners with these essential skills, enabling them to manage and interpret data effectively.

Designed for both newcomers and experienced professionals, this postgraduate program in data analytics offers:

• A dual certificate from Purdue University Online and Nvidya
• Masterclasses by IBM experts and Purdue faculty
• Exclusive IBM courses with individual certificates
• Live sessions on cutting-edge topics such as Generative AI, Prompt Engineering, and Explainable AI
• Hands-on experience through 14+ real-world projects and a capstone project spanning three domains, with datasets from Google Play Store, Lyft, and the World Bank

The field of data analytics includes a wide range of specialized roles, such as:

• Business Intelligence Analyst
• Data Analyst
• Data Scientist
• Data Engineer
• Data Visualizer
• Quantitative Analyst
• Operations Analyst
• Data Analytics Consultant

Professionals in this field are responsible for:

• Extracting data from databases, APIs, or cloud platforms
• Preparing and cleaning data for analysis
• Performing statistical analysis and predictive modeling

Creating compelling visualizations using tools like Power BI or Tableau

The demand for data analysts is surging, with job postings increasing by over 50% in the last five years. Organizations are no longer content with just collecting data—they need skilled professionals to turn that data into intelligent, strategic insights.

The instructors for this PG program are carefully chosen based on their academic and industry expertise. Each brings a deep understanding of data analytics and a proven ability to teach both foundational and advanced concepts effectively.

Enrolling in the program is simple:

1. Click the ‘Enroll Now’ button and fill out the online application.
2. Complete the payment process to confirm your seat in the upcoming cohort.
3. You’ll receive a payment confirmation along with LMS access details via email.

Salaries vary by country and experience. Here are the average annual earnings:

• USA: $68,359
• UK: £34,508
• Canada: C$63,030
• Australia: AU$77,279
• India: ₹523,861

No prior experience is needed. The course covers all the basics to get you started, along with advanced modules for those looking to enhance existing skills.

Top industries leveraging data analytics include:

• Retail & E-commerce
• Healthcare & Pharmaceuticals
• Finance & Banking
• Telecommunications
• Education
• Real Estate

Yes, you’ll retain access to the self-paced learning content even after completing the course.

Learners receive 24/7 support via chat, email, and phone. You’ll also gain lifetime access to our active learner community.

Explore more data analytics offerings:

• Data Analyst Certificate Program
• Professional Certificate in Data Analytics & Generative AI
• Intro to Data Analytics Course

No worries. With our flexible learning model, you can catch up with the recorded sessions anytime and still maintain course progress.

Yes. Upon enrollment, you’ll get access to preparatory content featuring 8–10 hours of self-paced video material.

Nvidya for Business offers customized training solutions for organizations, including unlimited access to our Learning Hub+, skill-based certification paths, and consulting support for workforce development.