Data Analysis with Python, Pandas and Numpy Training Course
Python is a versatile programming language known for its simplicity and readability. Pandas is a Python package that provides data structures for working with structured (tabular, multidimensional, potentially heterogeneous) and time series data. Numpy provides fundamental support for numerical computing with its array operations. Together, they form a robust ecosystem for efficient data handling and analysis in Python.
This instructor-led, live training (online or onsite) is aimed at intermediate-level Python developers and data analysts who wish to enhance their skills in data analysis and manipulation using Pandas and NumPy.
By the end of this training, participants will be able to:
- Set up a development environment that includes Python, Pandas, and NumPy.
- Create a data analysis application using Pandas and NumPy.
- Perform advanced data wrangling, sorting, and filtering operations.
- Conduct aggregate operations and analyze time series data.
- Visualize data using Matplotlib and other visualization libraries.
- Debug and optimize their data analysis code.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Course Outline
Day 1:
Basic Python and Data Analysis Skills Review
Introduction to NumPy
- Creating NumPy arrays
- Common operations on matrices
- Using ufuncs
- Views and broadcasting on NumPy arrays
- Optimizing performance by avoiding loops
- Optimizing performance with cProfile
Data Analysis with Pandas
- Using vectorized data in pandas
- Data wrangling
- Sorting and filtering data
- Aggregate operations
- Analyzing time series
Data Visualization with Matplotlib
- Plotting diagrams with Matplotlib
- Using Matplotlib from within pandas
- Creating quality diagrams
- Visualizing data in Jupyter notebooks
- Other visualization libraries in Python
Day 2:
Other Python Libraries for Data Analysis
- scikit-learn
- Scipy
- statsmodel
- RPy2
Summary and Next Steps
Requirements
- Basic Python and data analysis skills
Audience
- Python developer
- Data analysts
Open Training Courses require 5+ participants.
Data Analysis with Python, Pandas and Numpy Training Course - Booking
Data Analysis with Python, Pandas and Numpy Training Course - Enquiry
Data Analysis with Python, Pandas and Numpy - Consultancy Enquiry
Testimonials (1)
Trainer develops training based on participant's pace
Farris Chua
Course - Data Analysis in Python using Pandas and Numpy
Upcoming Courses
Related Courses
ArcGIS for Spatial Analysis
14 HoursThis instructor-led, live training in Slovakia (online or onsite) is aimed at field ecologists and conservation managers who wish to create spatial data projects in ArcGIS.
By the end of this training, participants will be able to:
- Output spatial data as visualizations.
- Conduct geostatistics 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 Slovakia (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 from Basic to Advanced
35 HoursThis instructor-led, live training in Slovakia (online or onsite) is aimed at beginner-level to advanced-level GIS professionals and analysts who wish to learn how to effectively use ArcGIS for data visualization, spatial analysis, and geospatial project management.
By the end of this training, participants will be able to:
- Navigate and utilize ArcGIS tools for geospatial data management.
- Create and customize maps with layers and attributes.
- Perform advanced spatial analysis and geoprocessing tasks.
- Automate workflows using ModelBuilder and Python.
ArcGIS Enterprise for Technical Support
14 HoursThis instructor-led live training, offered Slovakia (online or onsite), targets beginner-level IT support personnel seeking to deliver robust support for ArcGIS Enterprise, with a focus on effectively resolving anomalies and failures.
By the end of this training, participants will be able to:
- Understand the architecture and core components of ArcGIS Enterprise.
- Learn to install, configure, and manage ArcGIS Enterprise.
- Gain skills in troubleshooting and resolving common issues.
- Develop proficiency in monitoring and maintaining ArcGIS Enterprise environments.
- Master the techniques for backup, recovery, and performance optimization.
ArcGIS Fundamentals
14 HoursThis instructor-led, live training in Slovakia (online or onsite) is designed for beginner-level professionals seeking to learn the fundamental concepts and tools of ArcGIS.
Upon completion of this training, participants will be able to:
- Grasp the fundamental principles of GIS and spatial data.
- Navigate the ArcGIS interface with confidence.
- Create and manage spatial data effectively.
- Conduct basic spatial analysis.
- Produce maps and visualizations.
ArcGIS Pro for Spatial Analysis
14 HoursUpon completing this training, participants will be equipped to:
- Grasp fundamental GIS concepts and spatial data types using the most recent version of ArcGIS Pro.
- Navigate the user interface and assess its practical applications.
- Explore ArcGIS* Pro functionality and learn how to leverage online resources.
- Manage, manipulate, and analyze personal datasets effectively.
- Present and share data in innovative and meaningful ways.
Note: Training will utilize the latest version of ArcGIS Pro.
ArcGIS Professional Plus: Advanced GIS Data Management and Analysis
14 HoursArcGIS Professional Plus represents the advanced tier of ArcGIS Pro, providing extended capabilities for geospatial data analysis, 3D modeling, automation, and collaborative enterprise workflows.
This instructor-led live training (available online or onsite) targets intermediate GIS professionals aiming to enhance their expertise in spatial data analysis, automation, and data sharing using ArcGIS Professional Plus tools.
Upon completion of this training, participants will be capable of:
- Utilizing ArcGIS Pro Plus tools for effective data visualization and analysis.
- Developing 2D and 3D maps utilizing advanced symbology and geoprocessing techniques.
- Automating workflows through ModelBuilder and Python scripting.
- Integrating ArcGIS with external data services and enterprise systems.
Course Format
- Interactive lectures and group discussions.
- Extensive exercises and practical activities.
- Hands-on implementation within a live-lab environment.
Customization Options
- For customized training arrangements, please contact us directly.
Advanced ArcGIS Pro for Spatial Analysis
35 HoursThis instructor-led live training in Slovakia (online or onsite) is designed for advanced-level GIS professionals who wish to use ArcGIS Pro to enhance their spatial analysis capabilities, conduct comprehensive geostatistical analysis, and apply advanced 3D modeling techniques for more effective decision-making and problem-solving in real-world scenarios.
By the end of this training, participants will be able to:
- Develop advanced skills in spatial analysis techniques using ArcGIS Pro.
- Utilize Python scripting for automation and complex data processing.
- Apply spatial modeling for problem-solving in real-world scenarios.
- Conduct geostatistical analysis for advanced data interpretation.
- Integrate external data sources and leverage 3D spatial data analysis.
ArcGIS with Python Scripting
14 HoursThis live, instructor-led training in Slovakia (online or onsite) is aimed at GIS analysts seeking 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.
Advanced Power Systems and GIS Integrated Solutions
70 HoursIn the dynamic energy sector, combining electrical transient analysis with accurate geographic data has become a strategic imperative. Relying on disjointed data currently poses significant operational risks. This intensive 14-day program in Melbourne is crafted to bridge the gap between electrical engineering and geospatial management.
Advanced Geographic Information Systems (GIS)
21 HoursThis instructor-led, live training in Slovakia (online or onsite) is designed for geographers at an intermediate level who seek to enhance their expertise in spatial analysis, data management, and GIS applications.
By the conclusion of this training, participants will be able to:
- Apply advanced spatial analysis techniques to resolve complex geographical issues.
- Manage large-scale spatial databases and perform data quality control.
- Develop dynamic and interactive maps and visualizations for various applications.
- Use programming and automation to streamline GIS workflows.
Google Maps API for Developers
14 HoursThis instructor-led, live training in Slovakia (online or onsite) is designed for developers who wish to enhance their website or web application by adding geo-location functionality through Google Maps.
By the end of this training, participants will be able to:
- Embed a map into a new or existing website or web application.
- Display live data that synchs with current location.
- Create a mashup that includes Google Maps.
- Apply good CSS and JavaScript coding practices
- Create a custom map for an application.
Python for ArcGIS and QGIS for Earth Sciences and Engineering Professionals
35 HoursThis instructor-led, live training in Slovakia (online or onsite) is aimed at beginner-level earth sciences and engineering professionals who wish to use Python for geospatial analysis in both ArcGIS and QGIS environments.
By the end of this training, participants will be able to:
- Learn Python syntax and control structures for executing geospatial tasks efficiently.
- Use Pandas, Numpy, and Matplotlib for data analysis and visualization in GIS.
- Manipulate and analyze vector data with Geopandas, Arcpy, and PyQGIS libraries.
- Automate geospatial processes and workflows using Python scripting in ArcGIS and QGIS.
- Develop custom Python-based geoprocessing tools for ArcGIS and QGIS to streamline tasks.
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.