Description for Data Science in Python : Introduction
Level: Intermediate
Certification Degree: Yes
Languages the Course is Available: 22
Offered by: On Coursera provided by University of Michigan
Duration: 34 hours (approximately)
Schedule: Flexible
Pricing for Data Science in Python : Introduction
Use Cases for Data Science in Python : Introduction
FAQs for Data Science in Python : Introduction
Reviews for Data Science in Python : Introduction
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for Data Science in Python : Introduction
Learn to use the latest LLM APIs, the LangChain Expression Language (LCEL), and develop a conversational agent.
Acquire practical skills to build a generative AI application by constructing a retrieval augmented generation (RAG) system using data, Qdrant, and LLMs.
Master Python programming for software development and data science, including core logic, Jupyter Notebooks, libraries like NumPy and Pandas, and web data gathering with Beautiful Soup and APIs.
The course highlights the curriculum focused on statistics and machine learning, covering descriptive statistics, data clustering, predictive model development, and analysis capability development.
Learn to perform inferential statistical analysis, assess and improve data visualizations, integrate machine learning into data analysis, and analyze social network connectivity.
Construct the gradient descent algorithm, execute univariate linear regression with NumPy and Python, and create data visualizations with matplotlib.
Gain practical skills and foundational knowledge of generative AI, along with insights from AWS AI practitioners on how companies leverage cutting-edge technology for value generation.
Modern and Practical Statistical Thinking for All. Utilize Python for statistical visualization, inference, and modeling.
Learn to develop a text processing pipeline and understand LSTM and Recurrent Neural Networks to train and assess deep learning models.
Master logistic regression for cancer classification, dataset acquisition via Kaggle API, and cloud-based development with Google Colab.
Featured Tools
Begin your professional journey as an AI Product Manager. Develop generative AI and product management skills that are in high demand to be job-ready in six months or less.
This course will provide you with an understanding of the technical underpinnings and essential terminology associated with generative artificial intelligence (AI).
This learning path provides a thorough overview of generative AI. This specialization delves into the ethical considerations that are essential for the responsible development and deployment of AI, as well as the foundations of large language models (LLMs) and their diverse applications.
Unlock and capitalize on the capabilities of generative AI. Discover how the capabilities of generative AI can be leveraged to improve your work and personal life.
Explore the fundamentals, applications, ethical implications, and future trends of generative AI in human resources.
Compare & Review AI Tool Directory AI Course Marketplace
