What is Data Science
The field of data science has existed since ancient times, with examples like the ancient Egyptians using census data to improve tax collection and predict Nile river floods. This course provides an overview of modern data science and features interviews with practitioners in the field. Completion of this course can be applied towards multiple Specializations or Professional Certificate programs, including the IBM AI Foundations for Business Specialization, Key Technologies for Business Specialization, IBM Data Science Professional Certificate, and Introduction to Data Science Specialization.
per person
Level
Duration
Training Delivery Format
Face-to-face / Virtual Class
per person
Level
Duration
Training Delivery Format
Face-to-face (F2F) / Virtual Class
Class types
Public Class
Private Class
In-House Training
Bespoke
About this course
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.
- Key Technologies for Business Specialization
- IBM AI Foundations for Business Specialization
- IBM Data Science Professional Certificate
- Introduction to Data Science Specialization
Who should attend?
Suitable for anyone who is interested in learning about the field of data science, including its history, applications, and techniques. It is particularly relevant for individuals who are considering a career in data science, as well as professionals who work with data and want to expand their knowledge and skills.
Learning Outcome
- Define what data science is and explain its significance in today’s world.
- Identify the key components of data science, including data collection, analysis, and visualization.
- Understand how data science is applied in various industries and domains.
- Identify the key skills and tools used by data scientists, such as programming languages and machine learning techniques.
- Explore potential career paths in data science and understand the qualifications and experience needed to pursue them.
- Gain exposure to real-world examples of data science projects and applications.
Prerequisites
No prior experience in data science is required, making it accessible to beginners as well.
Course Content
Module 1: Defining Data Science and What Data Scientist Do
- What is Data Science?
- Fundamentals of Data Science
- The Many Paths to Data Science
- Advice for New Data Scientists
- A day in the Life of a Data Scientist
- Old problems, new problems, Data Science solutions
- Data Science Topics and Algorithms
- Data Science Topics and Algorithms
Module 2: Data Science Topics
- Foundations of Big Data
- What is Hadoop?
- How Big Data is Driving Digital Transformation
- Data Science Skills & Big Data
- Data Scientists at New York University
- What’s the difference?
- Neural Networks and Deep Learning
- Applications of Machine Learning
Module 3: Data Science in Business
- How Should Companies Get Started in Data Science?
- Applications of Data Science
- How Can Someone Become a Data Scientist?
- Recruiting for Data Science
- Careers in Data Science
At this time, this course is available for private class and in-house training only. Please contact us for any inquiries.