About this learning plan
Do you love to discover meaning in facts and numbers? Learn the concepts and methods of data science and how its discoveries change the world. Then get hands-on practice cleaning, refining, and visualizing data, in a series of simulations, using IBM Watson Studio with the data refinery tool. Finish by gathering tips and resources that can help you launch a great career in data science.
Complete the following required courses to earn an industry-recognized IBM SkillsBuild digital credential called Data Fundamentals:
- Introduction to Data Concepts
- Data Science in Our World
- Overview of Data Tools and Languages
- Clean, Refine, and Visualize Data with IBM Watson Studio
- Your Future in Data: The Job Landscape
What you’ll learn
After completing Data Fundamentals, you should be able to:
- 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
The knowledge and skills in these courses build on each other, so SkillsBuild recommends that you complete the courses in the order in which they are presented.
Duration: 7 Hours
Language: English, French
New Collar Talent, LLC is an authorized collaboration partner of IBM SkillsBuild.
Target audiences
- Ages 17+
- Beginner: Comprehension