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Hands-on Data Analysis with Pandas (TTPS4878)

4.6 out of 5 rating Last updated 23/07/2024   English

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Global Schedule

GTR = Guaranteed to Run

08 Jul 24 Enquire Book
15:00 - 23:00 Live Online 2,195
09 Oct 24 Enquire Book
15:00 - 23:00 Live Online 2,195

26 Aug 24 Enquire Book
15:00 - 23:00 Live Online 2,195
18 Nov 24 Enquire Book
15:00 - 23:00 Live Online 2,195

Find out more about this course

Interested in alternative dates? Would like to book a private session of this course for your company? Or for any other queries please simply fill out the form below.

Duration

3 Days

18 CPD hours

Overview

This course is approximately 50% hands-on, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Our engaging instructors and mentors are highly experienced practitioners who bring years of current "on-the-job" experience into every classroom.
Working in a hands-on learning environment, guided by our expert team, attendees will learn to:
- Understand how data analysts and scientists gather and analyze data
- Perform data analysis and data wrangling using Python
- Combine, group, and aggregate data from multiple sources
- Create data visualizations with pandas, matplotlib, and seaborn
- Apply machine learning (ML) algorithms to identify patterns and make predictions
- Use Python data science libraries to analyze real-world datasets
- Use pandas to solve common data representation and analysis problems
- Build Python scripts, modules, and packages for reusable analysis code
- Perform efficient data analysis and manipulation tasks using pandas
- Apply pandas to different real-world domains with the help of step-by-step demonstrations
- Get accustomed to using pandas as an effective data exploration tool.

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

Prerequisites

This course is geared for Python-experienced attendees who wish to be equipped with the skills you need to use pandas to ensure
the veracity of your data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets.

Introduction to Data Analysis Fundamentals of data analysis Statistical foundations Setting up a virtual environment Working with Pandas DataFrames Pandas data structures Bringing data into a pandas DataFrame Inspecting a DataFrame object Grabbing subsets of the data Adding and removing data Data Wrangling with Pandas What is data wrangling Collecting temperature data Cleaning up the data Restructuring the data Handling duplicate, missing, or invalid data Aggregating Pandas DataFrames Database-style operations on DataFrames DataFrame operations Aggregations with pandas and numpy Time series Visualizing Data with Pandas and Matplotlib An introduction to matplotlib Plotting with pandas The pandas.plotting subpackage Plotting with Seaborn and Customization Techniques Utilizing seaborn for advanced plotting Formatting Customizing visualizations Financial Analysis - Bitcoin and the Stock Market Building a Python package Data extraction with pandas Exploratory data analysis Technical analysis of financial instruments Modeling performance Rule-Based Anomaly Detection Simulating login attempts Exploratory data analysis Rule-based anomaly detection Getting Started with Machine Learning in Python Learning the lingo Exploratory data analysis Preprocessing data Clustering Regression Classification Making Better Predictions - Optimizing Models Hyperparameter tuning with grid search Feature engineering Ensemble methods Inspecting classification prediction confidence Addressing class imbalance Regularization Machine Learning Anomaly Detection Exploring the data Unsupervised methods Supervised methods Online learning The Road Ahead Data resources Practicing working with data Python practice
Additional course details:

Nexus Humans Hands-on Data Analysis with Pandas (TTPS4878) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward.

This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts.

Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.

While we feel this is the best course for the ITS Data Analytics course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.

Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

FAQ for the Hands-on Data Analysis with Pandas (TTPS4878) Course

Available Delivery Options for the Hands-on Data Analysis with Pandas (TTPS4878) training.
  • Live Instructor Led Classroom Online (Live Online)
  • Traditional Instructor Led Classroom (TILT/ILT)
  • Delivery at your offices in London or anywhere in the UK
  • Private dedicated course as works for your staff.
How many CPD hours does the Hands-on Data Analysis with Pandas (TTPS4878) training provide?

The 3 day. Hands-on Data Analysis with Pandas (TTPS4878) training course give you up to 18 CPD hours/structured learning hours. If you need a letter or certificate in a particular format for your association, organisation or professional body please just ask.

Which exam does the Hands-on Data Analysis with Pandas (TTPS4878) training course prepare you for?

The Hands-on Data Analysis with Pandas (TTPS4878) prepares you for the Yes official exam. You can take this exam at any exam center across Ireland including, Dublin, Cork, Galway, Northern Ireland or live online where ever you are. Exams vary in duration and if required you can request with the provider for any accommodations appropriate for you.

What is the correct audience for the Hands-on Data Analysis with Pandas (TTPS4878) training?

This introductory-level course is for anyone in IT interested in on basic exposure to leveraging Python for data science and analytics.

Do you provide training for the Hands-on Data Analysis with Pandas (TTPS4878).

Yes we provide corporate training, dedicated training and closed classes for the Hands-on Data Analysis with Pandas (TTPS4878). This can take place anywhere in Ireland including, Dublin, Cork, Galway, Northern Ireland or live online allowing you to have your teams from across Ireland or further afield to attend a single training event saving travel and delivery expenses.

What is the duration of the Hands-on Data Analysis with Pandas (TTPS4878) program.

The Hands-on Data Analysis with Pandas (TTPS4878) training takes place over 3 day(s), with each day lasting approximately 8 hours including small and lunch breaks to ensure that the delegates get the most out of the day.

What other terms do people search for when looking for this course?

Popular related searched include Python; Data Science; Data Anlaysis.

Why are Nexus Human the best provider for the Hands-on Data Analysis with Pandas (TTPS4878)?
Nexus Human are recognised as one of the best training companies as they and their trainers have won and hold many awards and titles including having previously won the Small Firms Best Trainer award, national training partner of the year for Ireland on multiple occasions, having trainers in the global top 30 instructor awards in 2012, 2019 and 2021. Nexus Human has also been nominated for the Tech Excellence awards multiple times. Learning Performance institute (LPI) external training provider sponsor 2024.
Is there a discount code for the Hands-on Data Analysis with Pandas (TTPS4878) training.

Yes, the discount code PENPAL5 is currently available for the Hands-on Data Analysis with Pandas (TTPS4878) training. Other discount codes may also be available but only one discount code or special offer can be used for each booking. This discount code is available for companies and individuals.

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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.

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