Description
Size: 745 MB
WHAT YOU WILL LEARN
- Working knowledge of Data Science Tools such as Jupyter Notebooks, R Studio, GitHub, Watson Studio
- Python programming basics including data structures, logic, working with files, invoking APIs, and libraries such as Pandas and Numpy
- Statistical Analysis techniques including Descriptive Statistics, Data Visualization, Probability Distribution, Hypothesis Testing and Regression
- Relational Database fundamentals including SQL query language, Select statements, sorting & filtering, database functions, accessing multiple tables