IBM Skillsbuild is offering Data Analyst course for free! Interested participants checkout the details below.
About IBM Skillsbuild
IBM SkillsBuild is a free education program focused on underrepresented communities that helps adult learners, high school and university students, and faculty develop valuable new skills and access career opportunities.
The program includes an online platform complemented by customized practical learning experiences that aim to respond to learners’ needs as they progress through their education and career journeys. This effort is in collaboration with a network of world-class education partners, including public high schools, non-profit organizations, governments, and corporations.
Most importantly, IBM Skillsbuild learners can earn IBM-branded digital credentials recognized by the market. Digital credentials from IBM Skillsbuild are secure, web-enabled credentials that contain granular, verified information that employers can use to validate an individual’s potential.
About the Course
To thrive, companies must leverage data to understand trends, predict outcomes, and innovate. Data analysts are instrumental to helping companies achieve this. This course will help to gain skills and apply analytic tools to analyze data, predict outcomes, and visualize results professionally. Among other things, you will learn how to:
- Understand data science and methodologies, and the data scientist profession
- Import and clean data sets, analyze visual data, and build machine learning models with Python
- Use common data science tools, languages, and libraries
- Apply data science skills, techniques, and tools to a final project and report
- Describe fundamental data concepts including types of data, big data, analytics techniques, typical steps in the data analytics process, and data visualization
- Identify widely adopted data science methodologies and explain the activities in a typical data science project
- Identify applications of data science across industries in the world
- Describe the role of a data analyst, data scientist, and data engineer
- Identify the purpose and use of some common data analysis and visualization tools
- Clean, refine, and visualize data using IBM Watson Studio with the data refinery tool
- Recognize the job market, responsibilities and skill sets of a data analyst and data scientist, and resources and learning opportunities to explore
Eligibility
The course doesn’t have any eligibility criteria. All enthusiastic learners can sign up.
Timeline
The course is self-paced. There are no deadlines and requirements
How to Apply?
Interested candidates can apply directly via this link.
