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 • 632,415 learners

Description

Introduction to Data Science Specialization

Data science is a rapidly growing field that combines statistical analysis, computer science, and domain knowledge to extract insights and knowledge from data. With the increasing availability of data in various industries, the demand for skilled data scientists has never been higher. To meet this demand, many universities and online platforms now offer specialized courses and programs in data science.

One such program is the Data Science Specialization, which is designed to provide students with a comprehensive understanding of the core concepts and techniques in data science. This specialization covers a wide range of topics, including data cleaning, visualization, and analysis, as well as machine learning and statistical modeling. By the end of the program, students will have the skills and knowledge needed to work with large and complex datasets, extract meaningful insights, and make informed

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

86,326 already enrolled

Specialization – 4 course series

Get in-depth knowledge of a subject

4.7

(12,421 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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