IBM Data Science Professional Certificate
Foundational data science program covering Python, data analysis, machine learning, and data visualization. Hands-on projects with real data.
Provider
IBM/Coursera
Level
Foundational
Duration
3–6 months
Cost
$300
Passing Score
Pass/Fail
Validity
Lifetime
Salary Impact
+$5,000–$12,000 avg
Prerequisites
No prerequisites—beginner-friendly
Basic programming helps but not required
Exam Format
Hands-on projects and quizzes, no traditional exam
Exam Topics & Weights
Python for data science
25%
Data analysis with pandas and NumPy
25%
Machine learning basics
25%
Data visualization and capstone
25%
8-Week Study Plan
Weeks 1-4
Focus: Python fundamentals for data science
Python basics
Jupyter Notebooks
Data types and structures
Weeks 5-12
Focus: Pandas, NumPy, and exploratory data analysis
Pandas documentation
Data manipulation
EDA techniques
Weeks 13-18
Focus: Machine learning with scikit-learn
Supervised learning
Unsupervised learning
Model evaluation
Weeks 19-24
Focus: Data visualization and capstone project
Matplotlib and Seaborn
Interactive dashboards
Project work
Exam Tips & Strategies
Python proficiency is essential—practice coding daily
The capstone project is your portfolio piece—make it impressive
Focus on real datasets from Kaggle and UCI ML repository
Data visualization storytelling is as important as the analysis
Career guidance and job preparation resources are included
Peer learning and community support are strong points
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