Corso Data Fundamentals

Course delivered in English
Lessons: 5
Livello: Foundational
Access: Free Online Course (Credential)

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:

1. Introduction to Data Concepts - Duration is 1 hr 15 mins
2. Data Science in Our World - Duration is 2 hrs
3. Overview of Data Tools and Languages - Duration is 1 hr 30 mins
4. Clean, Refine, and Visualize Data with IBM Watson Studio - Duration is 1 hr 35 mins
5. Your Future in Data: The Job Landscape - Duration is 50 mins

Complete all of 5 courses, including the quizzes and assessments, and earn the Data Fundamentals Professional Skills badge.

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.

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.

Language: English, French

Select Enroll to enroll in this learning plan and get started!

Explore IBM SkillsBuild digital credentials
Next generation of learning recognition designed for aspiring career seekers and professionals

Digital credentials open new pathways to employment and are an important tool in today’s competitive job market. They are industry-recognized and represent skill, knowledge, and competency achievements that are meaningful for their earners, and essential to employers.

Why you should consider it

1. Expand talent pool
   Employers can identify talented professionals from a variety of backgrounds, including those who may have traditionally been undervalued.
2. Skills validation
   Provides a standardized and verified way to assess a candidate's skills and knowledge, making it easier for employers to identify qualified candidates.
3. Better matching
   Allows employers to more effectively match the right candidate with the right job, ensuring that they have the necessary skills and qualifications to perform the role.
4. Portability
   Stored online and accessed from anywhere. Earners can share their credentials with potential employers, educational institutions, or anyone who needs to verify their achievements.
5. Security
   More secure than paper certificates or transcripts. They can't be lost or damaged. They incorporate encryption and verification measures to ensure they are authentic and cannot be forged.
6. Increased visibility
   Can be shared on social media, professional networking sites, or personal websites, increasing the visibility of the earner's achievements.All organizations deal with data in one way or another. You’ll be able to apply this highly-valued skillset to a variety of sectors in various analytics capacities.

Some examples of jobs that require expertise in working with data:

• Data analyst
• Business intelligence analyst
• Data scientist
• Quantitative analyst
• Operations analyst
• Data analytics consultant

This course is managed by the external partner Skill Build IBM platform. In order to take this course you will need to register on their Academy platform where you can take advantage of this and many other courses on offer.

Complete all three courses and earn the Data Fundamental badge!

Once you have finished the course, go back to the course page in Guilds42 to upload proof of completion (jpg / png / pdf). Your document will be evaluated and if appropriate and verifiable, you will find this certification validated in the dashboard.

Create a Credly Account

Digital credentials are industry-recognized and represent your achievement of skills, knowledge, and competencies.

IBM SkillsBuild issues digital credentials using Credly, so it's important to set up a Credly account to claim your credentials.

If you don't have a Credly account, complete these steps to create one now and claim the credentials you've worked hard to earn:

1. Access Credly.
2. Locate and select Sign in.
3. Select Create account.
4. Enter your details in the required fields.
5. Use the same email address for Credly as you do for SkillsBuild.
6. Check your inbox for a verification email from Credly and follow the instructions.

Tip: After you earn your first credential, enable the Auto-Accept feature so that future credentials from IBM SkillsBuild are automatically accepted and displayed on your Credly profile.

By signing up for a Credly account, you are unlocking the value of credentials and ensuring your accomplishments are registered, recognized, and shareable!