IBM Data Science vs IBM Data Analyst

IBM Data Science and IBM Data Analyst are the certification programs for data science available on Coursera. Both certification programs have their own identification and popularity.

That’s why many people get confused about which one to choose?.

So if you are not sure and stuck between IBM Data Science and IBM Data Analyst, read this comparison- IBM Data Science vs IBM Data Analyst. This comparison will help you to decide which one is better for you.

Before going into details, let’s have a quick comparison between both certification programs-

IBM Data Science

Rating- 4.6/5
Time to Complete– 11 Months (If you spend 5 hours/week)
NOTE- The time, I mentioned here is according to Coursera, but you can finish the whole specialization in less time.
Price– 7 Day Free Trial & then $39/month
Programming Language Used- Python
Suitable for– Those who want to learn Data Science skills with no previous programming knowledge.
No. of Courses- 9 Courses
Pros

• Well Structured Content.
• Provides a free IDE on IBM Cloud (limited).
• Great course for beginners

Cons

• The first course What is Data Science? is elementary, and you may get bored if you have some previous understanding of data science.
• The Python for Data Science and AI course is not a complete Python course. This course teaches only the required knowledge of Python for data science.

Check IBM Data Science Professional Certificate

IBM Data Analyst

Rating- 4.7/5
Time to Complete– 11 Months (If you spend 3 hours/week)
Price– 7 Day Free Trial & then $39/month
Programming Language Used- Python
Suitable for– Those who want to learn Data Analytics with no programming knowledge but some familiarity with high school level math.
No. of Courses- 8 Courses
Pros

• The content of this program is well structured and provides a foundational base in data analytics.
• Perfect program for complete beginners to gain hands-on skills practice by working with a variety of data sources, project scenarios, and data analysis tools, such as Excel, SQL, Python, Jupyter Notebooks, and Cognos Analytics.

Cons

• The final assignment of the course Data Visualization with Python is tough to complete because the instructor didn't explain too much about the assignment concepts.
•The Python for Data Science and AI is not a well-sequenced and complete course to learn Python. You need some python textbooks to supplement your learning.

Check IBM Data Analyst Professional Certificate

So, this is a quick comparison between IBM Data Science vs IBM Data Analyst. Now let’s see the topics covered in both Certification programs-
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