Data Analysis
Collect, clean and analyse data with spreadsheets and Python so you can answer business questions.
Data Science training
Combine programming, statistics and visualisation to turn raw data into insight and predictions.
Course overview
Combine programming, statistics and storytelling to get insight from data. You will move through the full data science process, from asking questions to presenting predictions.
Requirements
- Basic Python or willingness to learn it
- School-level maths
- A computer
What you will learn
- Follow the full data science workflow
- Use statistics to understand data
- Build simple predictive models
- Communicate findings clearly
Practical projects
- An exploratory analysis of a public dataset
- A prediction project with a written report
Skills you will gain
- Python
- Statistics
- Data visualisation
- SQL basics
- Predictive modelling
Career and application opportunities
- Junior data scientist
- Data analyst
- Research analyst
Curriculum
1Introduction to data science
- What data science is
- The data science workflow
- Tools and environments
- Types of data problems
2Python for data science
- Python refresher
- NumPy basics
- pandas for data
- Reading data from files and databases
3Statistics for data
- Descriptive statistics
- Probability basics
- Distributions
- Hypothesis testing
4Visualisation and exploration
- Exploratory data analysis
- Charts with matplotlib and seaborn
- Finding patterns
- Dashboards overview
5Modelling and communication
- Intro to machine learning
- Evaluating models
- Presenting results
- Capstone project
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