- Data Science
- Big Data
- Python Programming
- Github
- Machine Learning
- Deep Learning
- Methodology
- SQL
- Rstudio
- Data Mining
- Jupyter notebooks
IBM Data Science
Completed by CHRISTIAN PAW DAHL HERMANSEN
November 15, 2018
Approximately 5 months at 10 hours a week to completeCHRISTIAN PAW DAHL HERMANSEN's account is verified. Coursera certifies their successful completion of IBM IBM Data Science Specialization.
Course Certificates Completed
Tools for Data Science
Databases and SQL for Data Science with Python
Data Visualization with Python
Machine Learning with Python
Data Analysis with Python
Data Science Methodology
Python for Data Science, AI & Development
What is Data Science?
Applied Data Science Capstone
What you will learn
Master the most up-to-date practical skills and knowledge that data scientists use in their daily roles
Learn the tools, languages, and libraries used by professional data scientists, including Python and SQL
Import and clean data sets, analyze and visualize data, and build machine learning models and pipelines
Apply your new skills to real-world projects and build a portfolio of data projects that showcase your proficiency to employers
Skills you will gain
Course Certificates
Earned after completing each course in the Specialization
Tools for Data Science
IBM
Taught by: Aije Egwaikhide, Svetlana Levitan & Romeo Kienzler
Completed by: CHRISTIAN PAW DAHL HERMANSEN by September 13, 2018
3 weeks of study, 2-3 hours/week
Databases and SQL for Data Science with Python
IBM
Taught by: Rav Ahuja & Hima Vasudevan
Completed by: CHRISTIAN PAW DAHL HERMANSEN by September 22, 2018
6 weeks of study, 2-4 hours/week.
Data Visualization with Python
IBM
Taught by: Saishruthi Swaminathan & Dr. Pooja
Completed by: CHRISTIAN PAW DAHL HERMANSEN by September 24, 2018
3 weeks of study, 4-5 hours/week
Machine Learning with Python
IBM
Taught by: SAEED AGHABOZORGI & Joseph Santarcangelo
Completed by: CHRISTIAN PAW DAHL HERMANSEN by October 16, 2018
5-6 weeks of study, 3-6 hours per week
Data Analysis with Python
IBM
Taught by: Joseph Santarcangelo
Completed by: CHRISTIAN PAW DAHL HERMANSEN by September 27, 2018
This course requires approximately two hours a week for six weeks.
Data Science Methodology
IBM
Taught by: Alex Aklson & Polong Lin
Completed by: CHRISTIAN PAW DAHL HERMANSEN by September 16, 2018
3 weeks of study, 2 - 3 hours/week
Python for Data Science, AI & Development
IBM
Taught by: Joseph Santarcangelo
Completed by: CHRISTIAN PAW DAHL HERMANSEN by September 17, 2018
5 weeks of study, 3-6 hours per week
What is Data Science?
IBM
Taught by: Rav Ahuja & Alex Aklson
Completed by: CHRISTIAN PAW DAHL HERMANSEN by September 4, 2018
3 weeks of study, 2-3 hours/week, 1 optional week
Applied Data Science Capstone
IBM
Taught by: Yan Luo & Joseph Santarcangelo
Completed by: CHRISTIAN PAW DAHL HERMANSEN by November 15, 2018
5 weeks of study, approximately 45 hours in total (10-15 hours/week for the later modules)