Advanced Data Science with IBM Specialization
Proficient in the fields of artificial intelligence, machine learning, and data science. Become an IBM-approved Expert in Artificial Intelligence, Machine Learning, and Data Science.
Description for Advanced Data Science with IBM Specialization
Features of Course
Level: Advanced
Certification Degree: Yes
Languages the Course is Available: 22
Offered by: On IBM provided by IBM
Duration: 2 months at 10 hours a week
Schedule: Flexible
Pricing for Advanced Data Science with IBM Specialization
Use Cases for Advanced Data Science with IBM Specialization
FAQs for Advanced Data Science with IBM Specialization
Reviews for Advanced Data Science with IBM Specialization
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for Advanced Data Science with IBM Specialization
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.
Utilize generative AI to advance in the field of data science. Develop hands-on generative AI skills that are in high demand to accelerate your data science career in under one month.
Learn to use generative AI tools to improve data science workflows, enhance datasets, and refine machine learning models through practical projects.
Use AI skills to advance your engineering career. Acquire practical knowledge regarding deep learning methodologies for computer vision.
Gain a comprehensive understanding of AI's potential, ethical considerations, and applications in efficient programming and common coding tasks using various 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.
Understand AI, its applications, concepts, ethical concerns, and receive expert career guidance.
The Deep Learning Specialization offers a comprehensive foundation in deep learning, practical skills in constructing neural networks, and prepares individuals to integrate machine learning into professional endeavors, advancing careers in AI.
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.
Featured Tools
Achieve a professional status as an AI Engineer. Acquire the knowledge necessary to develop next-generation applications that are propelled by generative AI, a skill that is indispensable for startups, agencies, and large corporations.
Generative AI facilitates daily tasks, decision-making, and idea generation, emphasizing responsible use, leveraging prompting techniques, and staying updated on AI advancements.
Explore the use of generative AI tools to enhance data preparation, querying, and machine learning model development in data science workflows through hands-on projects.
Learn to evaluate, enhance, and customize chatbots and Generative AI for marketing, customer service, and engagement.
Advance your career by acquiring in-demand skills such as IT automation, Git, and Python.