- Data Science
- Big Data
- Python Programming
- Github
- Machine Learning
- Deep Learning
- Methodology
- SQL
- Rstudio
- Data Mining
- Jupyter notebooks
IBM Data Science
Completed by Nuno Ramos Carvalho
May 4, 2019
Approximately 5 months at 10 hours a week to completeNuno Ramos Carvalho's account is verified. Coursera certifies their successful completion of IBM IBM Data Science Specialization.
Course Certificates Completed
Machine Learning with Python
Tools for Data Science
Data Science Methodology
Databases and SQL for Data Science with Python
Data Analysis with Python
What is Data Science?
Data Visualization with Python
Applied Data Science Capstone
Python for Data Science, AI & Development
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
Machine Learning with Python
IBM
Taught by: SAEED AGHABOZORGI & Joseph Santarcangelo
Completed by: Nuno Ramos Carvalho by April 21, 2019
5-6 weeks of study, 3-6 hours per week
Tools for Data Science
IBM
Taught by: Aije Egwaikhide, Svetlana Levitan & Romeo Kienzler
Completed by: Nuno Ramos Carvalho by March 20, 2019
3 weeks of study, 2-3 hours/week
Data Science Methodology
IBM
Taught by: Alex Aklson & Polong Lin
Completed by: Nuno Ramos Carvalho by March 31, 2019
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: Nuno Ramos Carvalho by April 12, 2019
6 weeks of study, 2-4 hours/week.
Data Analysis with Python
IBM
Taught by: Joseph Santarcangelo
Completed by: Nuno Ramos Carvalho by April 14, 2019
This course requires approximately two hours a week for six weeks.
What is Data Science?
IBM
Taught by: Rav Ahuja & Alex Aklson
Completed by: Nuno Ramos Carvalho by March 11, 2019
3 weeks of study, 2-3 hours/week, 1 optional week
Data Visualization with Python
IBM
Taught by: Saishruthi Swaminathan & Dr. Pooja
Completed by: Nuno Ramos Carvalho by April 15, 2019
3 weeks of study, 4-5 hours/week
Applied Data Science Capstone
IBM
Taught by: Yan Luo & Joseph Santarcangelo
Completed by: Nuno Ramos Carvalho by May 4, 2019
5 weeks of study, approximately 45 hours in total (10-15 hours/week for the later modules)
Python for Data Science, AI & Development
IBM
Taught by: Joseph Santarcangelo
Completed by: Nuno Ramos Carvalho by April 6, 2019
5 weeks of study, 3-6 hours per week