Using Python to Control and Document Your Data Science Processes
Data Science with Python Training: Data types and objects
Loading packages, namespaces
Reading and writing data
Accessing and Preparing Data
Acquiring Data with Python
- Loading from CSV files
- Accessing SQL databases
Cleansing Data with Python
- Stripping out extraneous information
- Normalizing data
- Formatting data
Numerical Analysis, Data Exploration, and Data Visualization with NumPy Arrays & Matplotlib
The NumPy array
2D plotting with Matplotlib
N-dimensional array operations and manipulations
Memory mapped files
Exploring Data with Pandas and scipy.stats
Data manipulation with Pandas
Statistical analysis with Pandas
Time series analysis with Pandas
Overview of statistical tools in scipy.stats
Machine Learning with scikit-learn
Input: 2D, samples, and features
Duration & Timings :
Duration – 30 Hours.
Training Type: Online Live Interactive Session.
Access to Class Recordings.
Weekend Session – Sat & Sun 9:30 AM to 12:30 PM (EST) – 5 Weeks. July 28, 2018.
Weekday Session – Mon – Thu 8:30 PM – 10:30 PM EST– 4 Weeks. August 20, 2018.
Weekend Session – Sat & Sun 9:30 AM to 12:30 PM (EST) – 5 Weeks. September 22, 2018.