Enroll for Caltech's intensive online Data Science Bootcamp. Designed for aspiring data scientists, this course teaches industry-relevant skills & provides certification to boost your career.
Bootcamp certificate and up to 14 CEU credits from Caltech CTME
Masterclasses delivered by distinguished Caltech instructors
Dedicated course on Generative AI, Prompt Engineering, ChatGPT and much more
Gain exposure ChatGPT, DALL-E, Midjourney & other prominent tools
Application-based practical training from leading industry experts
6 months of applied learning with 25+ hands-on projects and 20+ tools
Strengthen your resume and get career guidance from industry specialists
Attend mock interview sessions to help you ace the hard technical questions
Data Scientists extract insights from complex data. They apply statistical, machine learning, and analytical techniques to solve critical business problems. Mastery of programming languages like Python or R is essential. Experience with big data tools and databases is a bonus.
This course aims to establish a strong grasp of mathematical and statistical principles while nurturing critical thinking and problem-solving abilities. By the end of this course, learners will be equipped to analyze data, make informed decisions, and apply mathematical and statistical techniques in practical scenarios relevant to their respective industries. This course marks the initial step in your program journey.
This course will equip you with essential Python skills that form a crucial foundation for your journey throughout the program.
Enroll in this course to gain the essential knowledge to work with SQL databases and utilize them in your applications effectively. Throughout the course, you will learn the fundamentals of SQL statements, conditional statements, commands, joins, subqueries, and various functions — empowering you to manage your SQL database for scalable growth.
Discover the core of data science in this all-inclusive course, exploring data preparation, model building, and evaluation. Learn Python essentials like strings, Lambda functions, and lists, alongside NumPy, linear algebra, and statistical concepts such as central tendency, dispersion, skewness, covariance, and correlation. Hypothesis testing techniques like Z-test, T-test, and ANOVA are also covered, along with data manipulation using pandas.
This course presents a comprehensive exploration of 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.
Enroll in this Tableau course to gain a comprehensive understanding of building compelling visualizations, organizing data effectively, and designing informative charts and dashboards to facilitate more insightful business decisions. Throughout the course, you will explore Data Visualization concepts, learn to create various combo charts and stories, and acquire proficiency in working with filters, parameters, and sets. Additionally, you will master the art of building interactive dashboards.
The Data Science Capstone project offers an excellent opportunity to apply the skills acquired throughout this program. Under the guidance of dedicated mentors, you will tackle a real-world, industry-aligned data science problem, covering everything from data processing and model building to reporting business results and insights. This project serves as the culminating step in your learning journey and allows you to showcase your expertise in data science to prospective employers.
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Tell us a bit about yourself & why you want to do Data Science Bootcamp
An admission panel will shortlist candidates based on their application
Qualified candidates can accept the offer by paying the Bootcamp fee
Dive into the dynamic world of data science with Caltech's online Data Science Bootcamp. With reports suggesting an average 36% growth in data science roles from 2021 to 2031, there has never been a better time to acquire such in-demand skills. This Data Science Bootcamp prepares you to leverage data, draw insights, and make data-driven decisions in this data-centric world. You will be uniquely positioned to capitalize on the wave of opportunities in various industries.
Caltech’s Data Science Bootcamp is designed to suit beginners & experienced professionals. With a focus on real-world applications, this course equips you with a broad range of skills, including data cleaning, statistical modeling, machine learning, and data visualization. Industry experts craft the curriculum to ensure it aligns with the fast-paced changes and demands of the data science industry. Immerse yourself in our interactive and practical approach to learning and secure a prosperous future in data science today!
This course will give you a holistic understanding of the essentials of generative AI, prompt engineering, explainable AI, conversational AI, ChatGPT, and other LLMs.
The key learning objectives of this course are:
Understand the fundamentals of generative AI models, including the working principles and various types of generative AI models
Grasp the concept of explainable AI, recognize its significance, and identify different approaches to achieve explainability in AI systems
Apply effective prompt engineering techniques to improve the performance and control the behavior of generative AI models
Gain an understanding of ChatGPT, including its working mechanisms, notable features, and limitations
Identify and explore diverse applications and use cases for ChatGPT
Gain exposure to fine-tuning techniques to customize and optimize ChatGPT models
Recognize the ethical challenges of generative AI models like ChatGPT to ensure responsible usage, mitigate bias, and prevent misuse
Understand the potential of generative AI to revolutionize industries and explore prominent generative AI tools
Gain insights into the future of generative AI, its challenges, and the necessary steps to unlock its full potential
Some of the key topics covered in the “Essentials of Generative AI, Prompt Engineering and ChatGPT” course include:
Generative AI and Its Landscape
Explainable AI
Conversational AI
Prompt Engineering
Designing and Generating Effective Prompts
Large Language Models
ChatGPT and its Applications
Fine-tuning ChatGPT
Ethical Considerations in Generative AI Models
Responsible Data Usage and Privacy
The Future of Generative AI
AI Technologies for Innovation
When evaluating data science bootcamps, key factors to consider include the curriculum and topics covered, the expertise and qualifications of the instructors, the hands-on projects and practical experience offered and the job placement or career support provided by the bootcamp. Cost, duration, and alumni reviews can also be important in the decision-making process.
Yes, a data scientist bootcamp can help you transition to a career in data science without a technical background. These bootcamps typically provide intensive training in data science concepts, tools, and techniques, allowing individuals to develop the necessary skills. However, it's important to note that a solid foundation in mathematics and statistics and self-study, and practical experience are also crucial for success in the field.
There are various ways in which Data scientist bootcamps stay abreast of industry trends and advancements. Regularly updating the curriculum to incorporate the latest tools, techniques, and technologies is common. They maintain strong industry connections, invite guest speakers, and collaborate with professionals to provide real-world insights. They also often invite guest speakers from the industry to share their knowledge and experiences with the participants. Students are encouraged to participate in real-world projects and internships, allowing them to gain practical experience and exposure to current industry practices.
The cost difference between online data science bootcamps and in-person programs can vary. Online bootcamps are more cost-effective, require no physical infrastructure, and can reach a larger audience. In-person programs may cost more due to classroom rentals, equipment, and instructor travel. However, the program's specific features, quality of instruction, and reputation can influence the cost disparity.
Founded in 1891, Caltech is a world-renowned science and engineering institute that marshals some of the world’s brightest minds and most innovative tools. The contributions of Caltech’s faculty and alumni have earned national and international recognition, including 45 Nobel Prizes and 71 National Medals of Science.
Caltech CTME has chosen to team with Simplilearn to co-deliver these online professional programs. Simplilearn's award-winning immersive learning model delivered via live virtual classes focuses on applied learning to create immediate career impact.