Data science is an interdisciplinary field of study that not only dominates the digital world, but is an integral part of our daily lives as statistics are used in various professional fields, such as flight paths and more because of its ability to generate valuable insights to deal with and solve complex problems comprehensively.
“Data scientists are better statisticians than any programmer and better at coding than any statistician,” said Josh Wells, former head of data engineering at Slack.
Job projections indicate that economic demand for data science jobs will increase in the coming years, with the U.S. Bureau of Labor Statistics projecting employment in this field to grow 36% through 2031, much faster than the average for all occupations.
Therefore, many global universities and large technology companies offer courses to help you develop skills in this field, and today we are going to review IBM courses:
IBM Data Science Professional Certification:
This course is offered by IBM through Coursera, which is one of the largest online education platforms in the world offering thousands of courses in partnership with over 200 world-renowned universities and companies including: University of London, John Hoe Burkins University, Oxford , Yale, University of Pennsylvania and University of Illinois in addition to some major companies such as: Google, Amazon, IBM etc.
The IBM Data Science Professional Specialist Certificate includes 10 courses, giving you everything you need to study this field.
During this major, you will learn the fundamentals of data science, how to develop your practical skills in this field using the tools, languages, and libraries used by professional data scientists, how to import and organize datasets, analyze and visualize data, and create and evaluate machine learning models using the Python programming language. In addition to implementing projects with real data sets.
You will learn data science using real data science tools and real datasets in (IBM Cloud) and by the end of the program, you will have created a series of data science projects that will help you start your career with confidence.
The duration of study for this major is 5 months and the expected study time is about 4 hours per week, including 10 training courses, which are:
- (What is data science?) What is data science?
- (Data Science Tools) Data Science Tools.
- Data science methodology.
- (Python for Data Science, Artificial Intelligence, and Development) Python for Data Science, Artificial Intelligence, and Development.
- (Python data science project)
- Databases and SQL for Data Science with Python.
- Use Python to analyze the data.
- Data visualization using Python.
- Machine learning using Python.
- (Advancement of Applied Data Science)
Course details:
- Free.
- Specialization period: 5 months.
- Number of courses: 10 courses.
- Level: suitable for beginners.
- With a certificate: Yes, but not for free.
Coursera offers financial support to those who cannot afford the certification. The course supports the (available financial support) option offered by the platform, where you can find the (available financial support) option under the course title as shown in the image below:
Click on the “Financial Aid Available” option and fill out the application form. The verification process may take up to 15 days. When your application has been reviewed, you will receive an email telling you whether it has been approved or rejected.
In addition to earning a Professional Certificate from Coursera, you will also receive a digital badge from IBM themselves, recognizing your proficiency in data science.
