University of London
IBM
Data Science Foundations Specialization
University of London
IBM

Data Science Foundations Specialization

Unlock Academic & Career Success with Data Science. Build the foundational knowledge and hands-on skills you need to forge new career opportunities, with no technical experience required.

Romeo Kienzler
Robert Zimmer
Joseph Santarcangelo

Instructors: Romeo Kienzler

Included with Coursera Plus

Get in-depth knowledge of a subject
4.7

(10 reviews)

Beginner level
No prior experience required
3 months
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
4.7

(10 reviews)

Beginner level
No prior experience required
3 months
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Foundational knowledge and practical understanding of data science that unlocks academic and career opportunities

  • Basic hands-on skills in Python, R, SQL, and tools like GitHub and Jupyter Notebooks, including their essential features and uses in data science

  • Foundational data science processes, including data collection, simple model building, and algorithm concepts using flowcharts and pseudocode.

  • Basic data analysis with Python, using libraries like Pandas and Numpy, creating simple dashboards, and working with clustering algorithms.

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Taught in English
Recently updated!

October 2024

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Specialization - 8 course series

What you'll learn

  • In this course you learn how Data Science is applied in the real world, what we mean by data, and what we mean by machine learning.

Skills you'll gain

Category: Data Science
Category: Python Programming
Category: Github
Category: Rstudio
Category: Jupyter notebooks

What is Data Science?

Course 211 hours4.7 (72,640 ratings)

What you'll learn

  • Define data science and its importance in today’s data-driven world.

  • Describe the various paths that can lead to a career in data science.

  • Summarize  advice given by seasoned data science professionals to data scientists who are just starting out.

  • Explain why data science is considered the most in-demand job in the 21st century.

Skills you'll gain

Category: Data Science
Category: Data Analysis
Category: Python Programming
Category: Numpy
Category: Pandas

Tools for Data Science

Course 318 hours4.5 (29,106 ratings)

What you'll learn

  • Describe the Data Scientist’s tool kit which includes: Libraries & Packages, Data sets, Machine learning models, and Big Data tools 

  • Utilize languages commonly used by data scientists like Python, R, and SQL 

  • Demonstrate working knowledge of tools such as Jupyter notebooks and RStudio and utilize their various features  

  • Create and manage source code for data science using Git repositories and GitHub. 

Skills you'll gain

Category: Mean and Deviations
Category: One and two-dimensional data
Category: Pandas and K-means

What you'll learn

  • In this course you will learn the history of algorithms, discretisation and pseudocode and Euclidean algorithm in pseudocode.

Skills you'll gain

Category: What is Data?
Category: Introduction to machine learning
Category: Preparing your data
Category: How the K-mean clustering algorithm works

Python for Data Science, AI & Development

Course 525 hours4.6 (38,386 ratings)

What you'll learn

  • Learn Python - the most popular programming language and for Data Science and Software Development.

  • Apply Python programming logic Variables, Data Structures, Branching, Loops, Functions, Objects & Classes.

  • Demonstrate proficiency in using Python libraries such as Pandas & Numpy, and developing code using Jupyter Notebooks.

  • Access and web scrape data using APIs and Python libraries like Beautiful Soup.

Skills you'll gain

Category: Correlation
Category: Project Life Cycle
Category: Regression
Category: Project Life Cycle

What you'll learn

  • In this course you will engage in a variety of mathematical and programming exercises while completing a data clustering project.

Skills you'll gain

Category: Data Science
Category: Data Analysis
Category: Python Programming
Category: Pandas
Category: Jupyter notebooks

What you'll learn

  • In this course you will tackle a prediction problem: forecasting the number of bicycles that will be rented on a given day.

Skills you'll gain

Category: Data Science
Category: Big Data
Category: Machine Learning
Category: Deep Learning
Category: Data Mining

Python Project for Data Science

Course 88 hours4.5 (4,307 ratings)

What you'll learn

  • Play the role of a Data Scientist / Data Analyst working on a real project.

  • Demonstrate your Skills in Python - the language of choice for Data Science and Data Analysis.

  • Apply Python fundamentals, Python data structures, and working with data in Python.

  • Build a dashboard using Python and libraries like Pandas, Beautiful Soup and Plotly using Jupyter notebook.

Skills you'll gain

Category: The history of algorithms
Category: Conversion between flowcharts and pseudocode
Category: Introduction to loops in pseudocode
Category: Problems in Computer Science

Instructors

Romeo Kienzler
IBM
10 Courses694,960 learners
Robert Zimmer
University of London
5 Courses4,123 learners
Joseph Santarcangelo
IBM
33 Courses1,642,523 learners

Offered by

IBM

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