IBM Data Science Professional Certificate - Coursera
IBM Data Science Professional Certificate. Prepare for a career as a data scientist. Build job-ready skills – and must-have AI skills – for an in-demand career. Earn a credential from IBM. No prior experience required.
Introduction to Data Science Specialization (IBM) - Coursera
Describe what data science and machine learning are, their applications & use cases, and various types of tasks performed by data scientists. Gain hands-on familiarity with common data science tools including JupyterLab, R Studio, GitHub and Watson Studio.
Best Data Science Courses Online with Certificates [2024] | Coursera
IBM Data Science. Skills you'll gain: Python Programming, Machine Learning, Data Science, R Programming, Data Analysis, Professional Development, Algorithms, Big Data, Cloud Computing, Computer Programming, Data Mining, Data Model, Data Visualization, Databases, Deep Learning, Exploratory Data Analysis, General Statistics, Human Learning, IBM ...
IBM Data Analyst Professional Certificate - Coursera
Prepare for a career in Data Analytics. Receive professional-level training from IBM. Demonstrate your proficiency in portfolio-ready projects. Earn an employer-recognized certificate from IBM. Qualify for in-demand job titles: Data Analyst, Associate Data …
What is Data Science? Course (IBM) | Coursera
Discover why data science is the 21st century's sexiest profession. Learn what data scientists do, explore career paths, and understand how machine learning and deep learning are applied in business. Enroll in IBM's introductory course on Coursera today.
Applied Data Science Specialization [5 courses] (IBM) | Coursera
Demonstrate proficiency in data science and machine learning techniques using a real-world data set and prepare a report for stakeholders. Apply your skills to perform data collection, data wrangling, exploratory data analysis, data visualization model development, and …
Python for Data Science, AI & Development Course (IBM) | Coursera
Kickstart your Python journey with this beginner-friendly course by IBM on Coursera. Learn Python basics, data structures, and libraries like Pandas and Numpy. Gain hands-on experience in data collection, web scraping, and automation using Jupyter Notebooks.
Data Analyst vs. Data Scientist: What’s the Difference?
2024年10月2日 · Analyzing data sets to spot trends and patterns that can be translated into actionable insights. Presenting findings in an easy-to-understand way to inform data-driven decisions. Data scientists often deal with the unknown by using more advanced data techniques to make predictions about the future.
Data Science Methodology - Coursera
You’ll explore two notable data science methodologies, Foundational Data Science Methodology, and the six-stage CRISP-DM data science methodology, and learn how to apply these data science methodologies.
Tools for Data Science - Coursera
This course teaches you about the popular tools in Data Science and how to use them. You will become familiar with the Data Scientist’s tool kit which includes: Libraries & Packages, Data Sets, Machine Learning Models, Kernels, as well as the various Open source, commercial, Big Data and Cloud-based tools.