programming
Python for Data Science Course
- Requirements: No previous knowledge is required.
- Modality: Online classes with practical sessions and room for doubts.
- Duration: 12 hours.
- Price: 300€.
- Material: We provide all the material to download and reuse (presentations, codes and data).
- Software: Python.
- Valid certificate of completion.
Module 1 : Introduction to Python
- Installation Anaconda and Python.
- Environments: PyCharm, Google Colab and Jupyter Notebook.
45min.
Module 2 : Fundamentals of language
- Variables
- Operators
- Text strings
- Conditionals
- Cycles
- Lists
- Dictionaries
- Functions
1hr. 15min.
Module 3 : NumPy Library
- Arrays
- Data generation
- Data manipulation
- Operations
- Universal functions
- Statistical calculation
- Linear algebra
2hr.
Module 4 : Pandas Library
- Series and Dataframes
- Characteristic and selection of elements
- Text strings
- Dates
- Categorical data
- Statistic analysis
2hr.
Module 5 : Visualization with Matplotlib and Seaborn
- Creation of statistical graphs
- Customization and advanced graphics settings
3hr.
Module 6 : Predictive models with Python
- Time series
- Linear regression
- Classification
- Clustering
- Maps
3hr.
PhD. Elisa Cabana
Instructor
Elisa Cabana is a PhD in Mathematical Engineering, specialized in Statistics. She is also a researcher, data scientist and professor of data analysis at CUNEF University.
Available material
Presentations, codes, data, and all the material available for reuse.
Practical courses
Classes focused on the practical aspect, with space to solve doubts.
All ready to go?
Talk to us without obligation to clarify all your doubts.