Introduction to Data Science
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Course
Introduction to Data Science
Discover the world of data science, its applications and use cases. Explore key data science concepts including big data, data mining, machine learning, and deep learning.
Take this important first step towards a rewarding career in data science.
Self-Paced
Mentored
BEGINNER
Duration
3-6 hours/week
This course is part of a program:
If you wish, you can enroll for the program also or enroll this course individually.
With the power of data science to hand, businesses are gleaning valuable insights that give them a competitive edge. Through the manipulation of large pools of data, data scientists are also presenting organizations with critical information that enables them to carve out a path to the future. Individuals building the necessary skills to excel in data science, therefore, are moving into an exciting field that offers an interesting and rewarding career.
In this course, you will learn about the fundamentals of data science and discover how organizations are using data science to solve problems. You will explore important concepts including big data, data mining, machine learning and deep learning, and you will look at use cases and applications of data science. Plus, you will learn from big data science professionals and practitioners how to start a career in this exciting field.
If youre keen to take your first step in the world of data science, this Introduction to Data Science course will teach you the key concepts you need to move forward. Plus, it will provide you with the necessary foundation you need to progress through the remaining courses of the IBM Data Science Professional Certificate to enable you to earn professional certification.
This course comprises six purposely designed modules that take you on a carefully defined learning journey. If you are thinking about taking the course separately, it is worth noting that it is part of the IBM Data Science Professional Certificate Program and you may want to consider enrolling for the whole program rather than just enrolling for one course at a time.
It is a self-paced course, which means it is not run to a fixed schedule with regard to completing modules or submitting assignments. To give you an idea of how long the course takes to complete, it is anticipated that if you work 3-6 hours per week, you will complete the course in 6 weeks. However, as long as the course is completed by the end of your enrollment, you can work at your own pace. And dont worry, youre not alone! You will be encouraged to stay connected with your learning community and mentors through the course discussion space.
The materials for each module are accessible from the start of the course and will remain available for the duration of your enrollment. Methods of learning and assessment will include discussion space, videos, reading material, quizzes, exercise and final assignment.
Once you have successfully completed the course, you will earn your IBM Certificate.
As part of our mentoring service you will have access to valuable guidance and support throughout the course. We provide a dedicated discussion space where you can ask questions, chat with your peers, and resolve issues. Depending on the payment plan you have chosen, you may also have access to live classes and webinars, which are an excellent opportunity to discuss problems with your mentor and ask questions. Mentoring services may vary package wise.
You will:
- Have a good understanding of the fundamentals of data science.
- Have an understanding of how organizations are using data science to solve problems.
- Have knowledge of use cases and the applications of data science.
- Individuals looking for a good introduction to data science.
- Individuals who would like to explore the tools and technologies used in data science.
- Invididuals who would like to begin understanding how to apply a particular data science approach to their work.
No prerequisites are required for taking this course
Course Outline
Why Learn with SkillUp Online?
We believe every learner is an individual and every course is an opportunity to build job-ready skills. Through our human-centered approach to learning, we will empower you to fulfil your professional and personal goals and enjoy career success.
Reskilling into tech? We’ll support you.
Upskilling for promotion? We’ll help you.
Cross-skilling for your career? We’ll guide you.
Personalized Mentoring & Support
1-on-1 mentoring, live classes, webinars, weekly feedback, peer discussion, and much more.
Practical Experience
Hands-on labs and projects tackling real-world challenges. Great for your resumé and LinkedIn profile.
Best-in-Class Course Content
Designed by the industry for the industry so you can build job-ready skills.
Job-Ready Skills Focus
Competency building and global certifications employers are actively looking for.
Course Offering
Type of certificate
IBM Certificate
About this course
06 Modules
06 Skills
Includes
Discussion space
01 Exercise
06 Quizzes
23 Videos
01 Final assignment
Exercises to explore
Visual recognition with IBM Watson
This course has been created by
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FAQs
Data science, as a field, combines programming tools, statistical analysis, algorithms, and machine learning principles to extract meaningful insights from large amounts of information. It involves applying a variety of disciplines, including statistics, scientific methodologies, artificial intelligence (AI), and data analysis.
Some examples of careers in data science include:
Data analyst: A data analyst analyzes data and draws meaningful findings from their analysis. They help to build a clear image of the company's market position through data extraction utilizing high-tech computer models, data cleaning, and first-data analysis. They also assess data quality, plus they present their findings to management.
Data engineers: Data Engineers are the backbone of a company, for they control database design and management. They oversee the construction of data pipelines and ensure that data reaches the proper departments. They also collaborate with other data professionals and share findings with the enterprise via data visualization.
Business intelligence analyst: A business intelligence analyst analyzes data to help a firm become more efficient and profitable. They must be familiar with a wide range of specialized machines and tools. They also act as a bridge between business and technology, helping both improve performance.
Marketing analyst: A marketing analyst supports a company's marketing department. They undertake research and advise on what should be mass-produced and what should be discarded. Customer satisfaction surveys are also used to improve current products and services and to select new products to offer to target customers.
Once you have completed Introduction to Data Science, you will earn your IBM Certificate and you will be one step closer to earning IBM Professional Certification if you are working towards the IBM Data Science Professional Certificate Program.
Yes. Introduction to Data Science is 100% online. You will not be required to attend any classes in person. To enable this, however, you do need to have appropriate access to the internet to be able to use the course materials. The materials for the course are in the form of articles, videos, and knowledge checks.
Yes. As long as you have access to the internet and the necessary technology to use the course materials you be able to start looking at the course material as soon as you enroll. You will access them through your dashboard.
Course Offering
Type of certificate
IBM Certificate
About this course
06 Modules
06 Skills
Includes
Discussion space
01 Exercise
06 Quizzes
23 Videos
01 Final assignment
Exercises to explore
Visual recognition with IBM Watson
This course has been created by
Newsletters & Updates
Subscribe to get the latest tech career trends, guidance, and tips in your inbox.