Data collection (including web scraping)
Data planning (Formulating questions)
Data preprocessing (mainly using Python Numpy, and Pandas)
Data Modeling
Data Visualization(using Excel, Python, Tableau, Power BI)
Machine learning (modeling, testing, deployment)
Deep learning (Artificial Neural networks, Convolutional Neural Networks)