Applied Data Science with Python Specialization
Applied Data Science with Python Specialization is a £39/mo intermediate-level course from Coursera, typically completed in 5 months (around 150 study hours).
- Price
- £39/mo
- Duration
- 5 months
- Level
- Intermediate
- Study hours
- 150 hours
- Provider
- Coursera
About this course
A hands-on specialisation from the University of Michigan covering the full applied data science workflow in Python. You will manipulate data with pandas, visualise with matplotlib, apply machine learning with scikit-learn, perform text mining, and analyse social networks — building a strong portfolio of real-world data science projects.
What you will be able to do
- Train and evaluate models on a prepared dataset
- Write Python scripts that automate practical tasks
- Analyse model errors, bias and overfitting
- Debug and refactor Python code for clarity and performance
- Assemble portfolio evidence you can explain and defend at interview
Highlights
- Manipulate and clean complex datasets using pandas
- Create insightful visualisations with matplotlib and seaborn
- Apply supervised and unsupervised ML with scikit-learn
- Perform text mining and sentiment analysis
- Analyse social networks and connected data structures
Questions people ask
How much does Applied Data Science with Python Specialization cost?
Applied Data Science with Python Specialization costs £39/mo through Coursera. Prices are checked against the provider's UK listing and can change.
How long does Applied Data Science with Python Specialization take?
The provider lists 5 months. That works out at roughly 150 study hours in total.
Is Applied Data Science with Python Specialization suitable for beginners?
It is pitched at intermediate level, so some prior experience helps.
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