Python: Data Science, AI & Development
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.
Description for Python: Data Science, AI & Development
Level: Beginner
Certification Degree: Yes
Languages the Course is Available: 22
Offered by: On Coursera provided by IBM
Duration: 25 hours (approximately)
Schedule: Flexible
Pricing for Python: Data Science, AI & Development
Use Cases for Python: Data Science, AI & Development
FAQs for Python: Data Science, AI & Development
Reviews for Python: Data Science, AI & Development
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for Python: Data Science, AI & Development
The AI tool specializes in sentiment analysis, competitive analysis, custom analytics, Amazon marketplace analysis, review export, comprehensive help resources, and social media presence to meet diverse user needs effectively.
The AI tool enables organizations to create personalized multi-channel experiences for their clientele, featuring audience segmentation and a user-friendly platform with a complimentary 14-day trial and enterprise pricing options.
The AI tool empowers non-programmers to construct and deploy AI, featuring data transformation, insights generation, identification of critical drivers, and prediction and forecasting functionalities to enhance business decision-making and planning processes.
The AI generator, drawing from various sources, facilitates user interaction to produce content, making it beneficial for startups and individuals seeking to explore and enhance their knowledge across different subjects.
The AI tool utilizes advanced technology to streamline product research and feedback analysis, offering quick insights, collaborative opportunities, integration options, a user-friendly interface, a free tier option, and team collaboration features.
CensusGPT is an AI tool that simplifies access to census data, offering tabular data and visual representations in response to user queries. It targets economists, researchers, and individuals interested in demographic analysis, leveraging the TextSQL framework for seamless interaction with datasets.
NovaceneAI streamlines the organization of unstructured text data with AI algorithms, offering dedicated cloud hosting, adaptability across sectors, and robust data privacy measures.
Posit offers a comprehensive platform with enterprise solutions, cloud applications, community resources, and deployment solutions to enhance productivity in data science teams.
Breadcrumb.ai swiftly converts data into interactive presentations, reports, and interfaces, leveraging AI for intuitive insights exploration and seamless integration with various data sources, facilitating quick decision-making.
Hostcomm CXCortex offers AI-powered quality assurance and CX analytics solutions, leveraging data-driven segmentation and real-time insights to enhance consumer experiences and drive revenue growth for enterprises.
Featured Tools
This course instructs on integrating machine learning into data pipelines utilizing BigQuery ML, AutoML, and Vertex AI, emphasizing model development and deployment on Google Cloud.
Explore the use of generative AI for creating and optimizing code, employing tools like IBM Watsonx Code Assistant and GitHub CoPilot, while addressing associated ethical considerations and challenges.
Improve proficiency in optimizing LLMs by instruction-tuning, RLHF, DPO, and PPO utilizing Hugging Face to enhance model efficacy.
Utilizing Vertex AI Studio for model management, integrating with Gemini multimodal capabilities, employing effective prompts, and optimizing models through tuning methods are all topics addressed on the course page.
Understand Python methodologies like lambdas, csv file manipulation, and prevalent data science features, including cleansing and processing DataFrame structures.