• Program Duration44 weeks
  • Learning FormatOnline Bootcamp
  • Admission closes on
    Jun 19th, 2024

Data Science Course Highlights

Unleash your potential with this top-rated online Data Science program. Acquire cutting-edge skills to propel your career in the dynamic field of data science and artificial intelligence.

  • Purdue’s Prestige and Academic Eminence

    Program certificate from Purdue University Online and Simplilearn

    Become eligible for a membership at the Purdue University Alumni Association

  • Gain Generative AI Mastery

    Dedicated course on Generative AI, Prompt Engineering, ChatGPT and more

    Gain exposure to ChatGPT, Gemini, Claude, and other prominent tools

  • Real-World Practical Application

    Apply concepts to 25+ real-world projects with access to integrated labs

    8X higher live interaction with capstone projects in 3 industry domains

  • Simplilearn Career Service

    Strengthen your resume and get career guidance from industry specialists

    Attend mock interview sessions to help you ace the hard technical questions



Career Opportunities After Data Science Training

    • Data Scientist

      A Data Scientist collects, analyzes, and interprets complex data to inform business decisions. They employ statistical techniques, machine learning, and data visualization to uncover insights and trends. Strong programming, data manipulation & domain knowledge are crucial for success in this role

      Average Salaries
      $ 87K - $ 173K
      Hiring Companies
      Ernst & Young
      JP Morgan Chase
    • Data Architect
    • Database Administrator

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Program Outcomes

Program CertificateProgram Certificate
  • Program certificate from Purdue University Online and Simplilearn
  • Industry-recognized IBM certificates for IBM courses
  • Gain exposure to Generative AI, ChatGPT, LLMs, and more
  • Become eligible for a membership at the Purdue Alumni Association

Data Science Course Curriculum

  • Get started with the Post Graduate Program in Data Science in partnership with Purdue University Online and explore everything about the domain. Kickstart your Data Science journey with the preparatory courses on Statistics and Programming.

  • In this course, you will develop essential Python skills that are a crucial foundation for your progress throughout the program.

  • Join this course to gain vital skills for proficiently handling SQL databases in your applications. You'll grasp SQL statements, conditional statements, commands, joins, subqueries, and functions, enabling effective management for scalable growth.

  • The course provides the necessary skills to leverage Python for data science. By the course's conclusion, participants will be proficient in writing Python scripts and performing hands-on data analysis using a Jupyter-based lab environment.

  • This course comprehensively explores data science essentials, covering data preparation, model building, and evaluation. Participants will delve into fundamental Python concepts, including strings, Lambda functions, and lists. Additionally, they will gain proficiency in essential topics such as NumPy, linear algebra, and statistical concepts, which include measures of central tendency and dispersion, skewness, covariance, and correlation.

  • This course comprehensively explores diverse machine learning types and their practical applications. Participants will gain insights into the machine learning pipeline, delving into supervised learning, regression models, and classification algorithms. Additionally, the course covers unsupervised learning, clustering techniques, and ensemble modeling. Participants will also evaluate well-known machine learning frameworks like TensorFlow and Keras.

  • This course equips you with skills to deploy deep learning tools using AI/ML frameworks. It ensures a solid foundation by covering fundamental concepts, neural networks, TensorFlow 2, Keras, CNNs, RNNs, and more. By the end of the course, you'll proficiently build and optimize models with Keras and TensorFlow.

  • In this course, participants will comprehensively study generative AI models, with a special emphasis on ChatGPT. The curriculum covers essential principles of generative AI, prompt engineering, explainable AI, conversational AI, ChatGPT, and other large language models.

  • Explore the crucial role of generative AI in data science, spanning various industries from data generation to analysis. Overcome lifecycle challenges, gain insights into leveraging generative AI, and master industry-specific tools for successful data science endeavors.

  • The data science and machine learning capstone project provides a unique opportunity to apply skills in real-world scenarios. Guided by industry mentors, you'll address industry challenges, from data processing to presenting results. Using Python or SAS, implement regression, decision trees, and AI algorithms for accurate models. Ensure model robustness with k-fold cross-validation. Utilize Tableau for insightful result visualization.

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

  • Attend this online interactive industry master class to gain insights about Data Science advancements and AI techniques.

  • This course helps to gain a comprehensive understanding of the R Programming language. R Programming is a vital tool for data analysis and is essential for aspiring data science professionals. This course teaches you how to write R code, explore R's data structures, and create custom functions. By the end of the course, you will be well-prepared to embark on your first data analysis project.

  • Leverage Power BI to extract valuable business insights through data analysis. Craft interactive dashboards to facilitate informed decision-making. Streamline operations for enhanced efficiency. Construct dashboards from published reports and utilize Quick Insights for swift data pattern identification. Embrace pragmatic methodologies within Power BI.

  • Delve into an immersive course on computer vision, mastering advanced Deep Learning methods. From image processing to CNNs and object detection, explore every facet. Dive into generative models, OCR, and distributed computing. Understand Explainable AI and deploy models adeptly to tackle diverse vision challenges.

  • Embark on a dynamic course delving into ML applied to natural language data. Learn the intricacies of natural language understanding, feature engineering, and generation. Master automated speech recognition, including speech-to-text and text-to-speech conversion. Create voice assistance devices and Alexa skills. Develop advanced NLP and speech recognition abilities to address complex challenges in language and speech applications.

  • Immerse yourself in a course on data ethics, covering relevance, legal frameworks, and privacy concerns. Delve into security protocols, biases, and visualization techniques. Grasp decision-making practices and comprehend the societal impacts of data analytics.

Skills Covered

  • ChatGPT
  • Computer Vision
  • Data Visualization
  • Deep Learning
  • Descriptive Statistics
  • Ensemble Learning
  • Explainable AI
  • Exploratory Data Analysis
  • Generative AI
  • Inferential Statistics
  • Machine Learning Algorithms
  • Model Building and Finetuning
  • Model Evaluation and Validation
  • Model Training and Optimization
  • Natural Language Processing
  • Prompt Engineering
  • Reinforcement Learning
  • Speech Recognition
  • Supervised and Unsupervised Learning

Tools Covered


Industry Project


    Data Science Course Program Advisor

    Data Science Course Fee

    Program Fee $ 3,800

    Pay in Installments

    As low as

    You can pay monthly installments using Splitit, Climb Credit and Klarna.These plans are offered with low APR and no hidden fees.

    Program Cohorts

    Next Cohort

    Eligibility Criteria

    • A bachelor's degree with an average of 50% or higher marks
    • Basic understanding of programming concepts and mathematics
    • 2+ years of work experience preferred

    Best Suited For

    • Software Engineers
    • IT Professionals
    • Aspiring Data Scientists
    • Business Analysts
    • Data Professionals
    • Product Managers

    How to Apply For Data Science Course

    • STEP 1Submit Application

      Tell us why you want to enroll in the Post Graduate Program in Data Science

    • STEP 2Application Review

      An admission panel will shortlist candidates based on their application

    • STEP 3Admission

      Selected candidates can start within 1-2 weeks

    Apply Now

    Demand for Data Science Course in 2024

    Organizations, regardless of their size or industry, are increasingly leaning into data-driven insights to inform their strategic decisions. This shift has consequently propelled the demand for adept data science professionals to an unprecedented level. According to the "Jobs of Tomorrow: Mapping Opportunity in the New Economy" report by the World Economic Forum, data science and its associated roles are projected to be among the most in-demand job categories in the coming years.

    Our Post Graduate Program in Data Science is strategically designed to prepare you for this data-centric future. With an extensive curriculum encompassing data visualization tools, Python, SQL, and hands-on projects, you'll not only meet industry demands but exceed them. As businesses increasingly rely on data for competitive advantage, you'll become an indispensable asset, poised for a successful and lucrative career in data science. Join this program to embark on your journey to becoming a sought-after data professional.

    Data Science Course FAQs

    • What differentiates the Purdue-Simplilearn data science program from other options?

    • What core components are covered in the Purdue-Simplilearn data science program curriculum?

    • What are the main features of the PGP data science program offered by Purdue-Simplilearn?

    • What career paths can the Purdue-Simplilearn data science program graduates pursue in the US?

    • What are the prerequisites to enroll in Purdue-Simplilearn Post Graduate Program in Data Science?

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