Data science with python

DATA SCIENCE WITH PYTHON

The following topics will be covered in our DATA SCIENCE WITH PYTHON Online Training:

2

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 ▪ Simple plotting ▪ Control flow ▪ Debugging ▪ Code profiling

3

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

4

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

5

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

6

Machine Learning with scikit-learn ▪ Input: 2D, samples, and features ▪ Pre-processing data

▪ Regression ▪ Classification ▪ Model selection

7

8

Turn static files into dynamic content formats.

Create a flipbook