IBM Data Science Professional Certificate (175 hours) FUNDAE

01.- What is Data Science? (11 hours) (2024_08_25)

• 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.

02.- Tools for Data Science (18 hours) (2024_09_22)

• 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.

03.- Data Science Methodology (6 hours) (2024_11_17)

04.- Python for Data Science, AI & Development (25 hours) (2024_12_31)

05.- Python Project for Data Science (8 hours) [2025_01_01]

06.- Databases and SQL for Data Science with Python (20 hours) (2025_04_27)

07.- Data Analysis with Python (15 hours) (2025_06_11)

08.- Data Visualization with Python (20 hours) (2025_08_08)

09.- Machine Learning with Python (13 hours) []

10.- Applied Data Science Capstone (13 hours) []

11.- Generative AI: Elevate Your Data Science Career (12 hours) []

12.-Data Scientist Career Guide and Interview Preparation (9 hours) []