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Data Science
INTERMEDIATE
Data Science
This professional Data Science program takes learners through Data Science Workflow, Python for Analysis, Cleaning Messy Data, Exploratory Analysis, Statistical Inference, Predictive Modeling, Experiment Design, Data Science Case Study. Target audience: Learners turning raw data into defensible business insights.
Jane Instructor8 chapters36 hoursCertificate included
What you'll learn
Apply data science workflow to a practical Data Science project.
Apply python for analysis to a practical Data Science project.
Apply cleaning messy data to a practical Data Science project.
Apply exploratory analysis to a practical Data Science project.
Apply statistical inference to a practical Data Science project.
Apply predictive modeling to a practical Data Science project.
Skills covered
Python
Pandas
Statistics
Visualization
Machine Learning
Experimentation
Prerequisites
- Python basics and high-school mathematics
Who this is for
Learners turning raw data into defensible business insights.
Course modules
3Cleaning Messy Data
4Exploratory Analysis
5Statistical Inference
6Predictive Modeling
7Experiment Design
8Data Science Case Study
Assessments and certification
Data Science Practice Quiz
8 questions · 20 min · Pass mark 70%
Quiz
Data Science Certification Exam
8 questions · 60 min · Pass mark 70%
Final exam
Earn your AMNEXT ACADEMY certificate
Complete the course and pass its certification assessment to receive a verifiable certificate.