| 1- What is data science? Linux intro. |
Wednesday, 18, Ordibehesht, 98 |
We'll know data science and the road map of these courses.
We'll know more about useful commands in Linux. |
Linux Bash Shell Cheat Sheets |
more...
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| 2- Python (I): basics |
Wednesday, 25, Ordibehesht, 98 |
We need to learn a programming language.
Python is our recommendation. We'll begin to work with python. |
Any python tutorial is fine! |
more...
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| 3- Python (II): IDEs, package managers, Anaconda, pandas, simple |
Wednesday, 1, Khordad, 98 |
Python interactive development environments.
We'll know about Anaconda and pandas.
We'll learn about simple statistical analysis on some real data.
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Anaconda
Jupyter
Pandas
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more...
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| 4- Probability and statistics (I) |
Wednesday, 8, Khordad, 98 |
Statistical inference, significant difference, CL estimation,
developing and evaluating hypotheses, probability, best fitting, correlations |
Think Stats
scipy-lectures
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more...
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| 5- Probability and statistics (II), Symbolic programming |
Wednesday, 5, Tir, 98 |
preliminary statistical analysis to mine a data set,
How programming languages are able to deal with analytical mathematics |
An Introduction to Statistical Learning
ISLR-python
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more...
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| 6- Intro. to signal/image processing |
Wednesday, 12, Tir, 98 |
Bayesian inference (from session 5), how we are able to analyze sound/image/video |
Introduction to Time Series Forecasting
OpenCV tutorial
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more...
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| 7- Machine learning intro. (I) |
Wednesday, 26, Tir, 98 |
OOP, ML concepts, features, classification, regression,
overfitting problem, regulators |
Introduction to Machine Learning with Python
SciKit Learn
|
more...
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| 8- Machine learning intro. (II), Project development |
Wednesday, 2, Mordad, 98 |
Cross validation, hyper parameter optimization, how we are able to how to manage and track
progress of a project. What will happen after project delivery? |
Scrum
GitHub
Trello
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more...
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| DIVE |
Thursday, 3, Mordad, 98 |
Presetation of the projects by product owners. |
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more...
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| SAKKOU |
Sunday, 10, Shahrivar, 98 |
Presentation of the teams after 5 weeks. |
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more...
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| 9- The art of data visualization and presentation |
Wednesday, 27, Shahrivar, 98 |
You'll learn about data visualization and presentation importance
and related techniques. |
Search about matplotlib, seaborn, bokeh, plotly and dash. |
more...
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| 10- Neural networks |
Wednesday, 3, Mehr, 98 |
Perceptron, CNN, GD, SGD |
TBA |
more...
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| 11- Neural networks intro. |
Wednesday, 10, Mehr, 98 |
Basics; train, save, restore, tune up a model |
TBA |
more...
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| 12- TensorFlow (I) |
Wednesday, 17, Mehr, 98 |
RNNs, autoencoders, variational autoencoders, GANs |
TBA |
more...
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