IBM’s Applied Data Science Specialization is a solid beginner-level program, with practical labs on the IBM Cloud and a focus on Python and data science skills. The instructors are top-notch, and the content includes real-world projects. The certification is valuable, and while it may not make you job-ready, it’s a great way to dive deep into data science. Overall, it’s a worthy program, especially for those with some Python experience. π©βπ»ππ #DataScience #IBM #BeginnerFriendly
Overview π
The IBM Applied Data Science Specialization is a beginner level learning program with over 50,000 students enrolled and a high rating of 4.6 out of 5. Throughout this review, we will explore the course overview, content, price, certification, career opportunities, and student reviews.
Course Structure π
The specialization program consists of five courses, including Python for Data Science, AI and Development, data analysis with Python, data visualization with Python, and the final Applied Data Science Capstone project. With a total duration of 9 to 26 hours, the program offers both theoretical knowledge and hands-on experience through interactive labs and real-world projects.
Course Content π
The program is designed to help analyze data for smarter business decisions using Python and statistical methods, covering topics such as predictive modeling, data visualization, and creating data stories. The courses include practical Labs on the IBM Cloud, providing hands-on experience in solving real data challenges.
| Course Name | Duration |
|---|---|
| Python for Data Science | 9-12 hrs |
| AI and Development | 9-16 hrs |
| Python Project for Data Science | 9-16 hrs |
| Data Analysis with Python | 16-24 hrs |
| Data Visualization with Python | 9-16 hrs |
Capstone Project π
The final Capstone project allows students to apply the skills gained from the earlier courses, including working with real-world data and using key data science tools to build machine learning models.
Pricing and Certification π΅
The program requires a monthly subscription and does not fall under Coursera Plus. Successful completion of the courses leads to an IBM badge and an additional option for college credit from American Council of Education.
Career Opportunities π
While the program does not guarantee immediate job readiness, it provides a beginner-friendly approach to delve deeper into data science. The certificate adds value to LinkedIn profiles and resumes, but continuous skill enhancement and learning are vital for job prospects.
Student Reviews π
Students appreciate the hands-on experience but have noted the lack of detailed explanations in certain areas. While it may not be perfect, the program offers a great beginner course instructed by top-level professionals.
In conclusion, the IBM Applied Data Science Specialization on Coursera provides a structured program for beginners to enhance data science skills and gain practical experience. The course offers ample opportunities for hands-on learning and building a strong portfolio. While not without its flaws, it is a valuable addition for those seeking to further their data science knowledge.
Key Takeaways:
- Structured program for beginners
- Hands-on learning and real-world projects
- Additional option for college credit
- Emphasis on continuous skill enhancement
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