Data Scientist Career Path
From your first line of Python to a model running in production.
- Tracks
- 5
- Modules
- 36
- Lessons
- 88
- Total time
- 25h 54m
5 tracks worth $45, 40% off. Paid once, yours for life.
Five tracks in the order real data work uses them: Python to wrangle data, statistics and visualization to stop misreading numbers, machine learning to predict, deep learning for data that is not a table, and MLOps so the model actually gets used. Every idea comes with a simulation you can play with.
Where this path takes you
- Analyse real datasets with Python and pandas
- Draw statistical conclusions you can defend
- Train, evaluate and explain machine-learning models
- Take a model to production and monitor it
The tracks inside, in order
5 tracksTake them in this order — each builds on the one before. Every track is yours for life, including lessons added later.
- 1
1. Python for Data Science
$9The language as a data practitioner uses it, not as a software engineer does.
3 modules4 lessons - 2
2. Data Analytics: Statistics & Data Visualization
$9Enough statistics to stop misreading numbers, and charts that tell the truth about them.
9 modules23 lessons - 3
3. Introduction to Machine Learning
$9From what supervised learning is, to SHAP, K-means, recommenders and forecasting.
12 modules21 lessons - 4
4. Introduction to Deep Learning & Neural Networks
$9Neural networks, from a single neuron to the transformer.
6 modules21 lessons - 5
5. MLOps: Deploying Machine Learning & Deep Learning Models
$9A model that only lives in a notebook is not finished.
6 modules19 lessons
- +1
- 5 tracks bought one by one
- $45
- Bundle discount (40%)
- −$18
- Bundle price
- $27