I got IBM´s Coursera Applied Data Science Specialization (V2): https://www.coursera.org/specializations...ta-science
![[Image: Captura-de-pantalla-2024-04-01-232047.png]](https://i.ibb.co/qF4ycXr/Captura-de-pantalla-2024-04-01-232047.png)
It includes the following courses:
Data Visualization with Python
Python Project for Data Science
Python for Data Science, AI & Development
Data Analysis with Python
Applied Data Science Capstone
It took some time to complete all the activities. The Applied Data Science Capstone final assignment took me many hours, as it required many different specific tasks to be performed in Python and SQL, and then put them all in a PPT. You are also required to be linking the different processes to a Github account, and you would also need to work with Jupyter notebooks.
You work with the following packages:
pandas
numpy
matplotlib
seaborn
sklearn
I used PyCharm Community Edition, as I liked the interface.
The ACE recommendation for that specialization is the following:
Course Number: IBM-0024 (v.1)
Total Credits: 12
Grade: Pass
Credit Recommendation
• 3 semester hours in data analytics in the lower-division undergraduate category
• 3 semester hours in data visualization in the lower-division undergraduate category
• 3 semester hours in data mining in the lower-division undergraduate category
• 3 semester hours in python for data science in the lower-division undergraduate category
I did it as some people have been able to transfer it as CS 4407 Data Mining and Machine Learning at UoPeople, I just sent my Credly transcript to the UoPeople to see what can I get.
In addition to that, the WIKI mentions that this specialization transfers to TESU as:
COS-205 Python Programming
DSI-200 Interpretive Data Analysis
DSI-299 Special Topics Data Sci/Analytics (9 credits total)
So, inadvertently, I completed my last pending course for TESU´s Certificate in CIS, as my COS-1110 Intro to Programming, obtained from an edX microbachelor, only works for the BSCS. Therefore, I won´t need to take Saylor´s Intro to Python.
![[Image: Captura-de-pantalla-2024-04-01-232047.png]](https://i.ibb.co/qF4ycXr/Captura-de-pantalla-2024-04-01-232047.png)
It includes the following courses:
Data Visualization with Python
Python Project for Data Science
Python for Data Science, AI & Development
Data Analysis with Python
Applied Data Science Capstone
It took some time to complete all the activities. The Applied Data Science Capstone final assignment took me many hours, as it required many different specific tasks to be performed in Python and SQL, and then put them all in a PPT. You are also required to be linking the different processes to a Github account, and you would also need to work with Jupyter notebooks.
You work with the following packages:
pandas
numpy
matplotlib
seaborn
sklearn
I used PyCharm Community Edition, as I liked the interface.
The ACE recommendation for that specialization is the following:
Course Number: IBM-0024 (v.1)
Total Credits: 12
Grade: Pass
Credit Recommendation
• 3 semester hours in data analytics in the lower-division undergraduate category
• 3 semester hours in data visualization in the lower-division undergraduate category
• 3 semester hours in data mining in the lower-division undergraduate category
• 3 semester hours in python for data science in the lower-division undergraduate category
I did it as some people have been able to transfer it as CS 4407 Data Mining and Machine Learning at UoPeople, I just sent my Credly transcript to the UoPeople to see what can I get.
In addition to that, the WIKI mentions that this specialization transfers to TESU as:
COS-205 Python Programming
DSI-200 Interpretive Data Analysis
DSI-299 Special Topics Data Sci/Analytics (9 credits total)
So, inadvertently, I completed my last pending course for TESU´s Certificate in CIS, as my COS-1110 Intro to Programming, obtained from an edX microbachelor, only works for the BSCS. Therefore, I won´t need to take Saylor´s Intro to Python.


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