Concepts:

Collect | Cleaning | EDA | Visualization | Model Building

Packages:

• Selenium for Web Scraping.
• Numpy | Pandas for Data Wrangling.
• Matplotlib | Seaborn for Data Visualization.
• Scikit-learn | Tensorflow for Predictive Modeling.

Concepts:

Collect | Cleaning | EDA | Visualization

• Dplyr | Tidyr for Data Wrangling.
• Lattice | ggplot2 for Data Visualization.

Concepts:

Subset relevant data to analyze with Python and/or R.

Management Systems:

• PostgreSQL
• MySQL
• SQLite

Concepts:

Data Preprocessing, Model Building and Visualizations.

Methods:

• Data Preprocessing:
Data Augmentation and Normalization with Keras.
• Model Building (Keras):
Sub-classing | Sequential().
• Model Vizualization:
Tensorboard and Keras Plots.

Concepts:

Since plots for EDA to creating Dashboards for presentation, including Reports.

Methods:

• Analysis (EDA):
Python | R | Excel
• Dashboards and Storytelling:
Tableau | ggplot
• Reports:
R Markdown | Jupyter Notebooks