new.nexushuman.com
Phone Email
Home / Courses / AI, Data & Analytics / Hands-on Data Analysis with Pandas (TTPS4878)

Hands-on Data Analysis with Pandas (TTPS4878)

Hands-On Data Analysis with Pandas®will show you how to analyze your data, get started with machine learning, and work effectively with Python libraries often used for data science, such as pandas, NumPy, matplotlib, seaborn, and scikit-learn.

  • 4.6 out of 5 rating
  • Last updated : 23/07/2026
  • English

Available as Instructor Led Training, Live Online & In Person at your Offices or Ours.

Hands-on Data Analysis with Pandas (TTPS4878)
Enquire Now Download Download Overview

Duration:

24.00 hours

19.5 CPD hours

Overview:

Hands-On Data Analysis with Pandas®will show you how to analyze your data, get started with machine learning, and work effectively with Python libraries often used for data science, such as pandas, NumPy, matplotlib, seaborn, and scikit-learn.

Description:

Data analysis has become a necessary skill in a variety of domains where knowing how to work with data and extract insights can generate significant value. Geared for data team members with incoming Python scripting experience, Hands-On Data Analysis with Pandas will show you how to analyze your data, get started with machine learning, and work effectively with Python libraries often used for data science, such as pandas, NumPy, matplotlib, seaborn, and scikit-learn.
Using real-world datasets, you will learn how to use the powerful pandas library to perform data wrangling to reshape, clean, and aggregate your data. Then, you will be able to conduct exploratory data analysis by calculating summary statistics and visualizing the data to find patterns. In the concluding lessons, you will explore some applications of anomaly detection, regression, clustering, and classification using scikit-learn to make predictions based on past data. Students will leave the course armed with the skills required to use pandas to ensure the veracity of their data, visualize it for effective decision-making, and reliably reproduce analyses across
multiple datasets.
NOTE: Students heading into real project work right after training might consider a more robust hands-on course with deeper topics and lab coverage for similar subjects, such as the TTPS4873 JumpStart to Python for Data Science
DURATION 1 Day

No scheduled classes available at this time.

bg

Training Insurance Included!

When you organise training, we understand that there is a risk that some people may fall ill, become unavailable.

To mitigate the risk we include training insurance for each delegate enrolled on our public schedule, they are welcome to sit on the same Public class within 6 months at no charge, if the case arises.