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Using Data Science Tools in Python (v1.0)

More and more organizations are turning to data science to help guide business decisions. Regardless of industry, the ability to extract knowledge from data is crucial for a modern business to stay competitive. One of the tools at the forefront of data science is the Python ® programming language. Python's robust libraries have given data scientists the ability to load, analyze, shape, clean, and visualize data in easy to use, yet powerful, ways. This course will teach you the skills you need to successfully use these key libraries to extract useful insights from data, and as a result, provide great value to the business

In this course, you will use various Python tools to load, analyze, manipulate, and visualize business data. You will:

Set up Python data science environments.
Manage and analyze data with NumPy arrays.
Manipulate and modify data with NumPy arrays.
Manage and analyze data with pandas DataFrames.
Manipulate, modify, and visualize data with pandas DataFrames.
Visualize data with Matplotlib and Seaborn

Course Outline

1 - SETTING UP A PYTHON DATA SCIENCE ENVIRONMENT

Select Python Data Science Tools
Set Up an Environment Using Jupyter Notebook

2 - MANAGING AND ANALYZING DATA WITH NUMPY

Create NumPy Arrays
Load and Save NumPy Data
Analyze Data in NumPy Arrays

3 - TRANSFORMING DATA WITH NUMPY

Manipulate Data in NumPy Arrays
Modify Data in NumPy Arrays

4 - MANAGING AND ANALYZING DATA WITH PANDAS

Create Series and DataFrames
Load and Save pandas Data
Analyze Data in DataFrames
Slice and Filter Data in DataFrames

5 - TRANSFORMING AND VISUALIZING DATA WITH PANDAS

Manipulate Data in DataFrames
Modify Data in DataFrames
Plot DataFrame Data

6 - VISUALIZING DATA WITH MATPLOTLIB AND SEABORN

Create and Save Simple Line Plots
Create Subplots
Create Common Types of Plots
Format Plots
Streamline Plotting with Seaborn

Actual course outline may vary depending on offering center. Contact your sales representative for more information.

Course Outline

1 - SETTING UP A PYTHON DATA SCIENCE ENVIRONMENT

Select Python Data Science Tools
Set Up an Environment Using Jupyter Notebook

2 - MANAGING AND ANALYZING DATA WITH NUMPY

Create NumPy Arrays
Load and Save NumPy Data
Analyze Data in NumPy Arrays

3 - TRANSFORMING DATA WITH NUMPY

Manipulate Data in NumPy Arrays
Modify Data in NumPy Arrays

4 - MANAGING AND ANALYZING DATA WITH PANDAS

Create Series and DataFrames
Load and Save pandas Data
Analyze Data in DataFrames
Slice and Filter Data in DataFrames

5 - TRANSFORMING AND VISUALIZING DATA WITH PANDAS

Manipulate Data in DataFrames
Modify Data in DataFrames
Plot DataFrame Data

6 - VISUALIZING DATA WITH MATPLOTLIB AND SEABORN

Create and Save Simple Line Plots
Create Subplots
Create Common Types of Plots
Format Plots
Streamline Plotting with Seaborn

Actual course outline may vary depending on offering center. Contact your sales representative for more information.

Contact Us For Price

Course Length: 2 Days

1. Choose a Date | 2. Click Enroll Now

Mar 24

Online LIVE, 6:00 am - 2:00 pm
NHCLC G2R

Jun 14

Online LIVE, 8:00 am - 4:00 pm
NHCLC G2R

Need Help Picking the Right Course? Give us a call! 781-388-9999

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