• Program Fees

    $2,790

    EMI Starting at $279/mo

  • Application closes on

    1 May, 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

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    IBM’s Industry Prowess

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

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    Career Assistance

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

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    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

With our Data Analytics courses in Johannesburg, students gain a thorough understanding of critical data analytics and data science technologies. The course covers Tableau, statistics, Python, R, Power BI, and SQL. This Data Analytics training in Johannesburg gives graduates the skills needed to market themselves as data analytics professionals.

Key Features

  • 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.

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

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 $2,790, 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

$2,790

Pay In Installments, as low as

$279/mo

You can pay monthly installments for Post Graduate Programs using Splitit payment option with 0% interest and no hidden fees.

Program Cohorts

Next Cohort

Got questions regarding upcoming cohort dates?

Data Analytics And GenAI Program FAQs

  • Why is there a demand for Data Analytics courses South Africa?

    Data analytics has spread its wings across sectors and industries, including, healthcare, finance, retail, education, eCommerce, and more, making it a lucrative field. And in order to grab the best opportunities in the field, a world-renowned Data Analytics course Johannesburg (especially from a prestigious university) acts as a career catalyst, making this course one of the most in-demand certification courses.

  • 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

  • Is there any minimum education qualification required to apply for this Data Analytics course Johannesburg?

    Yes, you are supposed to have a bachelor’s degree with an average of 50% (or higher) if you wish to enroll in this Data Analytics course Johannesburg.

  • Will I become an alumni of Purdue University after completion of the Data Analytics courses South Africa?

    You will get a Purdue Alumni Association Membership after completing the Data Analytics courses  South Africa.

  • 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 course?

    The enrollment for the postgraduate program in data analytics 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 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

  • 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.