Data Analysis with Python
Learn to clean, prepare, analyze, and manipulate data with Python, utilize libraries for exploratory data analysis, and develop regression models for prediction and decision-making using scikit-learn.
Description for Data Analysis with Python
Level: Beginner
Certification Degree: Yes
Languages the Course is Available: 22
Offered by: On Coursera provided by IBM
Duration: 15 hours (approximately)
Schedule: Flexible
Pricing for Data Analysis with Python
Use Cases for Data Analysis with Python
FAQs for Data Analysis with Python
Reviews for Data Analysis with Python
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for Data Analysis with Python
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.
Utilizing AI technology, this tool streamlines statistical analysis tasks, automates calculations, supports various data formats, and provides visualization tools for efficient and precise scientific research.
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 tool employs AI to assist users in understanding intricate documents, offering features such as content analysis, summarization, and language analysis, with plans for further enhancements.
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.
The AI Task Manager simplifies project management through features like project cost calculation, automated scheduling, data analysis, and user-friendly interface, enabling efficient planning and timely project completion.
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.
Featured Tools
Infiltrate the field of GANs. Become proficient in the latest GANs techniques by enrolling in three hands-on courses!
Become a machine learning engineer. Enhance your programming abilities with MLOps
Understand and apply statistical techniques to quantify prediction uncertainty, analyze probability distributions, and evaluate machine learning model efficacy using interval estimates and margins of error.
Utilize TensorFlow.js for browser-based model execution, TensorFlow Lite for mobile deployment, TensorFlow Data Services for optimized data management, and TensorFlow Hub, Serving, and TensorBoard for advanced deployment scenarios.
The course's topics including the distinction between deep learning, machine learning, and artificial intelligence, the process of developing machine learning models, the difference between supervised and unsupervised learning, and the use of metrics for evaluating classification models.