Python for Excel Training Course
Python is a high-level programming language famous for its clear syntax and code readability. Excel is a spreadsheet application developed by Microsoft which is widely used in many industries. Adding Python to Excel makes it a powerful tool for data analytics.
In this instructor-led, live training (onsite or remote), participants will learn how to combine the capabilities of Python and Excel.
By the end of this training, participants will be able to:
- Install and configure packages for integrating Python and Excel.
- Read, write, and manipulate Excel files using Python.
- Call Python functions from Excel.
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Course Outline
Introduction
Overview of Python Packages for Excel
- pandas
- openpyxl
- xlsxwriter
- xlrd
- xlwt
- xlutils
- pyexcel
Installing the Python Packages for Excel
Preparing Your Spreadsheet and Data
- Performing Quality Check
- Best Practices for Spreadsheet Data
Preparing Your Workspace
Importing Your Excel Files and Loading Your Data Using pandas
Writing Data, Formatting Information, and Modifying Charts in Excel
- Using openpyxl
- Using xlsxwriter
- Using xlwt
- Using pyexcel
Reading and Formatting Data from Older Excel Files
- Using openpyxl
- Using xlrd
- Using pyexcel
Implementing Final Check of Your Data
Calling Python Functions from Excel
Create User Defined Functions with Python and Excel
Troubleshooting
Summary and Conclusion
Requirements
- Python programming experience
- Basic experience or familiarity with Excel
Audience
- Developers
- Programmers
Open Training Courses require 5+ participants.
Python for Excel Training Course - Booking
Python for Excel Training Course - Enquiry
Python for Excel - Consultancy Enquiry
Testimonials (1)
Knowledge, substantive content, contact with others, willingness to help even with trivial problems, ability to interest listeners.
Michał
Course - Python for Excel
Machine Translated
Related Courses
ArcGIS for Spatial Analysis
14 HoursThis instructor-led, live training in the US (online or onsite) is aimed at field ecologists and conservation managers who wish to create data spatial projects in ArcGIS.
By the end of this training, participants will be able to:
- Output spatial data as visualizations.
- Conduct geostatics on actual data.
- Implement spatial data analysis, data processing, and mapping with ArcGIS.
- Analyze spatial data for projects in ArcGIS.
ArcMap in ArcGIS
14 HoursThis instructor-led, live training in the US (online or onsite) is aimed at intermediate-level environmental scientists and archaeologists who wish to learn how to use ArcMap in ArcGIS for collecting, organizing, managing, and analyzing geographic information.
By the end of this training, participants will be able to:
- Understand the fundamentals of ArcMap and ArcGIS.
- Collect, organize, manage, and analyze geographic information on the social and archaeological elements.
- Conduct spatial queries for impact evaluation.
ArcGIS Pro for Spatial Analysis
14 HoursBy the end of this training, participants will be able to:
- Understanding GIS concepts and spatial data types using the latest version of ArcGIS Pro.
- Investigate the user interface and evaluate the uses
- Explore ArcGIS* Pro and how to utilize online content
- Manage, manipulate and analyze your own data
- Display and share your data in a meaningful and creative way
Note: We will use the latest version of ArcGIS Pro.
ArcGIS with Python Scripting
14 HoursThis instructor-led, live training in the US (online or onsite) is aimed at GIS analysts who wish to automate repetitive tasks in GIS processes.
By the end of this training, participants will be able to:
- Build GIS applications using Python and ArcGIS tools.
- Develop with the ArcGIS package ArcPy, using Python.
- Apply the ArcGIS modules for map automation using object classes in Python.
QGIS for Geographic Information System
21 HoursA geographic information system (GIS) is a system designed to capture, store, manipulate, analyze, manage, and present spatial or geographic data. The acronym GIS is sometimes used for geographic information science (GIScience) to refer to the academic discipline that studies geographic information systems and is a large domain within the broader academic discipline of geoinformatics.
QGIS functions as geographic information system (GIS) software, allowing users to analyze and edit spatial information, in addition to composing and exporting graphical maps. QGIS supports both raster and vector layers; vector data is stored as either point, line, or polygon features. Multiple formats of raster images are supported, and the software can georeference images. To summarize it allows the users to Create, edit, visualise, analyse and publish geospatial information on Windows, Mac, Linux, BSD.
This program, in its first phase, introduces the QGIS interface for general usage. In the second phase, we introduce PyQGIS - the python libraries of QGIS that allows the integration of GIS functionalities in your python code or your python application, so that you may even create your own Python Plugin around a particular GIS functionality.
Advanced Data Analysis with TIBCO Spotfire
14 HoursThis instructor-led, live training in the US (online or onsite) is aimed at business analysts who wish to learn advanced Spotfire Analyst techniques for analyzing data.
By the end of this training, participants will be able to:
- Share visualizations among different team members.
- Secure access to software based on roles and access controls.
- Create visualizations such as map charts.
- Integrate statistical computing languages such as R with Spotfire.
Introduction to Spotfire
14 HoursThis instructor-led, live training in the US (online or onsite) is aimed at business analysts and data analysts who wish to learn basic Spotfire Analyst techniques for analyzing data.
By the end of this training, participants will be able to:
- Install and configure TIBCO Spotfire.
- Combine data from different databases.
- Visualize large datasets.
- Create and share complex dashboards.
AI-Driven Data Analysis with TIBCO Spotfire X
14 HoursThis instructor-led, live training in the US (online or onsite) is aimed at business analysts and data analysts who wish to use TIBCO Spotfire X with its artificial intelligence capabilities to visualize, transform, and analyze data.
By the end of this training, participants will be able to:
- Install and configure TIBCO Spotfire X.
- Understand the features and architecture of TIBCO Spotfire X.
- Understand the concepts behind augmented and predictive analytics.
- Learn how to load, process, and visualize data using Spotfire X.
- Create interactive and enhanced data visualizations.
Data Analysis with SQL, Python and Spotfire
14 HoursIn this instructor-led, live training in the US, participants will learn three different approaches for accessing, analyzing and visualizing data. We start with an introduction to RDMS databases; the focus will be on accessing and querying an Oracle database using the SQL language. Then we look at strategies for accessing an RDMS database programmatically using the Python language. Finally, we look at how to visualize and present data graphically using TIBCO Spotfire.
Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Sensu: Beginner to Advanced
14 HoursThis instructor-led, live training in the US (online or onsite) is aimed at devops engineers who wish to create monitoring systems for multi-cloud infrastructures.
By the end of this training, participants will be able to:
- Monitor an enterprise from any cloud.
- Use auto-scaling and real-time visibility to create advanced monitoring systems.
- Authenticate a monitoring system with the Sensu API.
- Share programmed monitoring workflows amongst team members.
Monitoring Your Resources with Munin
7 HoursMunin is an open-source monitoring tool that helps system administrators monitor resources such as servers, workstations, networks, SANs, applications, network devices, etc. It shows resource trends and provides insights into questions such as "what just happened to kill our performance?" It includes visualization tools and is available on various flavors of Linux and FreeBSD.
Format of the Course
- Heavy emphasis on hands-on practice. Most of the concepts are learned through samples, exercises and hands-on development.
Automated Monitoring with Zabbix
14 HoursThis instructor-led, live training in the US (online or onsite) covers the installation, planning and configuration of Zabbix, and focuses on practical implementation and tooling.
By the end of this training, participants will be able to:
- Install and configure Zabbix for monitoring IT infrastructure.
- Set up and manage hosts, items, triggers, and actions within Zabbix.
- Utilize Zabbix's features for data collection, alerting, and reporting.
- Integrate Zabbix with other tools and platforms for enhanced monitoring and automation.
Fluentd for Log Data Unification
14 HoursThis instructor-led, live training (online or onsite) is aimed at engineers who wish to set up an architecture where everything is logged.
By the end of this training, participants will be able to:
- Install and configure Fluentd.
- Collect logs from large numbers of disparate servers.
- Unify the logging layer within an organization.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- This training covers logging approaches for various types of systems. Please contact us to arrange coverage for specific systems (syslog, Apache, Nginx, IoT, ElasticSearch, MongoDB, Hadoop, etc.).
- To learn more about Fluentd, please visit: https://www.fluentd.org/
Nagios Certified Administrator Preparation
21 HoursThis instructor-led, live training in the US (online or onsite) is aimed at intermediate-level system administrators who wish to prepare for the Nagios Certified Administrator exam.
By the end of this training, participants will be able to:
- Gain a thorough knowledge of Nagios, including installation, configuration, and administration.
- Use Nagios to monitor networks, servers, and applications.
- Implement advanced monitoring techniques for diverse IT environments, including cloud and virtualized infrastructures.
- Configure alerts, manage notifications and generate reports to ensure proactive network management.
- Take the Nagios Certified Administrator exam with confidence.
Advanced Nagios
21 HoursThis instructor-led, live training in the US (online or onsite) is aimed at intermediate-level systems administrators who wish to learn and utilize the advanced features and components of Nagios for IT monitoring.
By the end of this training, participants will be able to:
- Understand Nagios architecture, components, and advanced monitoring strategies.
- Implement advanced service monitoring and extend Nagios functionality.
- Explore Nagios add-ons and advanced techniques.