IBM – Introduction to Data Science

Perform your career with Data Science Professional Certificate With IBM.

The art of uncovering the insights and trends in data has been around since ancient times. The ancient Egyptians used census data to increase efficiency in tax collection and they accurately predicted the flooding of the Nile river every year. Since then, people working in data science have carved out a unique and distinct field for the work they do. This field is data science. In this course, we will meet some data science practitioners and we will get an overview of what data science is today. IBM Developer Skills Network. In this course you will: Meet people who work in data science, Explore definitions of data science, Learn about data science in a business context & Discover some use cases and applications of data science: IBM – Introduction to Data Science Certificate Program!

Are the financial investment and the entry requirements justified? All in all, is an Master degree worth it? If you’re preparing to enter the competitive technological world of today, we believe it is.

So, what can you do with a Professional Certificate? A basics AI Certificate Program will offer you a wealth of advantages, especially when it’s from a well-regarded school. Getting a high Master salary after graduation, landing a management position, developing a strong professional network, or even becoming your own boss are just a few of the advantages of studying a Professional Program abroad.



Defining Data Science
1- What is Data Science
2- Fundamentals of Data Science
3- The Many Paths to Data Science
4- Advice for New Data Scientists
Data Science: The Sexiest Job in the 21st Century
What Data Scientists Do?
5- A day in the Life of a Data Scientist
6- Old Problems, New Data Science Solutions
7- Data Science Topics and Algorithm
8- Cloud for Data Science
What Makes Someone a Data Scientist?
Big Data and Data Mining
9- Foundations of Big Data
10- How Big Data is driving Digital Transformation
11- What is Hadoop?
12- Data Science Skills and Big Data
13- Data Scientists at New York University
Establishing Data Mining Goals
Deep Learning and Machine Learning
14- What’s the Difference?
15- Neural Networks and Deep Learning
16- Applications of Machine Learning



Duration of the course:

The duration depends on the time that the student can allocate. On the basis of 4 hours of work per week, the course can be completed, including the report, in 1 to 2 months.

Course fees:

There are no application fees.
The course fee is only 19.99 Euros!

What are the dates for the next session?

Our campus is accessible throughout the year. You can start on any date that suits you.
You will have an entire calendar year (12 months) to complete the course.

Hi, I’m Abdullah Z., from United States

It was amazing to learning data science. It is the sexiest job ever.

With Artificial Intelligence course, I can perform!


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