About this Course

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Learner Career Outcomes

17%

started a new career after completing these courses

20%

got a tangible career benefit from this course
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Beginner Level

Anyone can complete this course in a self-paced manner without any prior programming or Data Science experience. 

Approx. 20 hours to complete
English

What you will 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 will gain

  • Data Science
  • Github
  • Python Programming
  • Jupyter notebooks
  • Rstudio

Learner Career Outcomes

17%

started a new career after completing these courses

20%

got a tangible career benefit from this course
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Beginner Level

Anyone can complete this course in a self-paced manner without any prior programming or Data Science experience. 

Approx. 20 hours to complete
English

Offered by

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IBM Skills Network

Start working towards your Bachelor's degree

This course is part of the 100% online Bachelor of Science in Computer Science from IBM Skills Network. If you are admitted to the full program, your courses count towards your degree learning.

Syllabus - What you will learn from this course

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Week
1
Week 1
3 hours to complete

Data Scientist's Toolkit

3 hours to complete
17 videos (Total 84 min)
Week
2
Week 2
10 hours to complete

Open Source Tools

10 hours to complete
12 videos (Total 54 min)
Week
3
Week 3
5 hours to complete

IBM Tools for Data Science 

5 hours to complete
15 videos (Total 72 min)
Week
4
Week 4
2 hours to complete

Final Assignment: Create and Share Your Jupyter Notebook

2 hours to complete
1 reading

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