Data science experts expect that Python will be their language of choice, taking into account that it dominates in Deep Learning and Artificial Intelligence applications. And while your journey to learn Python programming may be just beginning, it’s nice to know that employment opportunities are abundant (and growing) as well.
- Learn to program in Python at a good level
- Learn how to code in Jupyter Notebooks
- Gain deeper insights into data
- Use Python to solve common and complex statistical and Machine Learning-related projects
- How to interpret and visualize outcomes, integrating visual output and graphical exploration
- Learn hypothesis testing and how to efficiently implement tests in Python
- Visualise data using methods from histograms to dimensionality reduction.
- Create, save and serialise data frames in and out of multiple formats.
- Intersplice, summarise and investigate time series data.
- Merge data sources into a beautiful whole.
