Course Content
Total learning: 50 lessons
Orientation
0/3
Python Basic
0/8
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What is Python2.1
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Basic Python2.2
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Basic Operation2.3
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Number2.4
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String2.5
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List2.6
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List Method2.7
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Dictionary2.8
Setup Python with ANaconda and Jupyter Notebook
0/4
Python Numpy and Pandas
0/8
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Time Series4.1
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What is Numpy4.2
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Hands on Numpy4.3
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Numpy Random4.4
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What is Python4.5
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Pandas DataFrame4.6
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Select & Slicing DataFrame4.7
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Real Timeseries Financial Data4.8
More Python
0/9
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If Else5.1
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For Loop5.2
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While Loop5.3
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List Comprehension5.4
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Concatenate, Merge, Join5.5
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Function5.6
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*args, **kwargs5.7
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Lambda Function5.8
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Apply Lambda Function5.9
Data Visualization
0/3
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Data Visualization6.1
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Matplotlib6.2
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Pandas Visualization6.3
Import Data
0/2
Other Data Source
0/2
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Quandl8.1
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Alpha Vantage8.2
Gradient Descent
0/4
Model Tuning
0/3
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Model Tuning10.1
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Dropout10.2
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Workshop : TA with Deep Learning Part I10.3
Model Evaluation
0/2
Apply to Financial World
0/2
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