Introduction to Data Science Specialization

Introduction to Data Science Specialization

Introduction to Data Science Specialization Launch your career in data science. Gain foundational data science skills to prepare for a career or further advanced learning in data science. Taught in English 22 languages available Some content may not be translated Instructors: Romeo Kienzler +6 more Close Instructors Romeo Kienzler IBM 10 Courses • 630,650 learners

Description

Data science is a rapidly growing field that combines statistical analysis, programming, and domain expertise to extract valuable insights from data. As organizations across all industries seek to harness the power of data to make informed decisions, the demand for skilled data scientists continues to rise. To meet this demand, numerous online platforms offer data science specialization programs to help individuals develop the necessary skills and knowledge.

One such program is the Data Science Specialization offered by Coursera. This specialization, developed by leading experts in the field, provides a comprehensive introduction to data science concepts, techniques, and tools. It is designed to equip learners with the fundamental skills needed to analyze data, derive meaningful insights, and communicate findings effectively.

The Data Science Specialization consists of a series of courses that cover topics such as data manipulation, exploratory data analysis

IBM

Introduction to Data Science Specialization

Launch your career in data science. Gain foundational data science skills to prepare for a career or further advanced learning in data science.

Taught in English

Some content may not be translated

Romeo Kienzler
Polong Lin
Alex Aklson

Instructors: Romeo Kienzler

86,156 already enrolled

Specialization – 4 course series

Get in-depth knowledge of a subject

4.7

(12,408 reviews)

Beginner level
No prior experience required
1 month at 10 hours a week
Flexible schedule
Learn at your own pace
Earn degree credit

What you’ll learn

  • Describe what data science and machine learning are, their applications & use cases, and various types of tasks performed by data scientists  

  • Gain hands-on familiarity with common data science tools including JupyterLab, R Studio, GitHub and Watson Studio 

  • Develop the mindset to work like a data scientist, and follow a methodology to tackle different types of data science problems

  • Write SQL statements and query Cloud databases using Python from Jupyter notebooks

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