Data Analysis with Python, Pandas and Numpy Training Course
Python is a versatile programming language renowned for its simplicity and readability. Pandas is a Python package that offers data structures for working with structured (tabular, multidimensional, potentially heterogeneous) and time series data. NumPy provides fundamental support for numerical computing through its array operations. Together, they create a robust ecosystem for efficient data handling and analysis in Python.
This instructor-led, live training (online or onsite) targets intermediate-level Python developers and data analysts looking to improve 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.
- Abundant 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 Brazil (online or onsite) is designed for field ecologists and conservation managers who wish to develop 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 Brazil (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 Brazil (online or on-site) is designed for GIS professionals and analysts, spanning beginner to advanced levels, who wish to learn how to effectively utilize ArcGIS for data visualization, spatial analysis, and geospatial project management.
By the conclusion 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 in Brazil (online or onsite) targets beginner-level IT support staff seeking to provide reliable support for ArcGIS Enterprise, effectively addressing system 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 Brazil (online or onsite) targets beginner-level professionals who wish to learn the fundamental concepts and tools of ArcGIS.
By the end of this training, participants will be able to:
- Understand the basic concepts of GIS and spatial data.
- Navigate the ArcGIS interface.
- Create and manage spatial data.
- Perform basic spatial analysis.
- Create maps and visualizations.
ArcGIS Pro for Spatial Analysis
14 HoursUpon completing this training, participants will be equipped to:
- Grasp core 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 and learn how to leverage online resources.
- Effectively manage, manipulate, and analyze personal datasets.
- Present and share data in innovative and meaningful ways.
Note: The course utilizes the latest version of ArcGIS Pro.
ArcGIS Professional Plus: Advanced GIS Data Management and Analysis
14 HoursArcGIS Professional Plus represents an advanced iteration of ArcGIS Pro, providing extended capabilities for geospatial data analysis, 3D modeling, automation, and enterprise collaboration.
This instructor-led, live training (available online or onsite) targets intermediate-level GIS professionals aiming to enhance their expertise in spatial data analysis, automation, and sharing using ArcGIS Professional Plus tools.
Upon completing this training, participants will be able to:
- Utilize ArcGIS Pro Plus tools for data visualization and analysis.
- Develop 2D and 3D maps featuring advanced symbology and geoprocessing techniques.
- Automate workflows through ModelBuilder and Python scripting.
- Integrate ArcGIS with external data services and enterprise systems.
Format of the Course
- Interactive lectures and discussions.
- Numerous exercises and practice sessions.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Advanced ArcGIS Pro for Spatial Analysis
35 HoursThis instructor-led, live training in Brazil (online or onsite) is aimed at 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 instructor-led, live training in Brazil (online or onsite) is designed for GIS analysts who aim to automate repetitive tasks within GIS processes.
By the end of this training, participants will be able to:
- Develop GIS applications using Python and ArcGIS tools.
- Develop using the ArcGIS package ArcPy, utilizing Python.
- Apply ArcGIS modules for map automation via object classes in Python.
Advanced Power Systems and GIS Integrated Solutions
70 HoursIn the dynamic energy landscape, combining electrical transient analysis with accurate geographic information has become a strategic imperative. Currently, depending on disjointed data sources creates substantial operational hazards. This intensive 14-day program, held in Melbourne, aims to connect the disciplines of electrical engineering with geospatial management.
Advanced Geographic Information Systems (GIS)
21 HoursThis instructor-led, live training in Brazil (online or onsite) is designed for geographers with intermediate experience who aim to deepen their expertise in spatial analysis, data management, and GIS applications.
Upon completing this training, participants will be capable of:
- Applying advanced spatial analysis techniques to address complex geographical challenges.
- Managing large spatial databases and performing data quality control.
- Producing dynamic and interactive maps and visualizations for diverse applications.
- Using programming and automation to optimize GIS workflows.
Google Maps API for Developers
14 HoursThis instructor-led live training in Brazil (online or onsite) is designed for developers seeking to enhance their websites or web applications by integrating geo-location functionality via Google Maps.
By the end of this training, participants will be able to:
- Embed maps into new or existing websites and web applications.
- Display real-time data synchronized with the current location.
- Develop mashups that incorporate Google Maps.
- Adopt best practices for CSS and JavaScript coding.
- Create custom maps tailored for applications.
Python for ArcGIS and QGIS for Earth Sciences and Engineering Professionals
35 HoursThis instructor-led live training in Brazil (online or on-site) targets beginner-level earth sciences and engineering professionals who wish to utilize Python for geospatial analysis in ArcGIS and QGIS environments.
Upon completing this training, participants will be equipped to:
- Master Python syntax and control structures to execute geospatial tasks efficiently.
- Manipulate and analyze vector data using the Geopandas, Arcpy, and PyQGIS libraries.
- Automate geospatial processes and workflows through Python scripting in both 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 framework built to capture, store, manipulate, analyze, manage, and present spatial or geographic data. The term GIS is also used to refer to Geographic Information Science (GIScience), which is the academic discipline focused on the study of geographic information systems, representing a significant domain within the broader field of geoinformatics.
QGIS operates as GIS software, enabling users to analyze and edit spatial information, as well as compose and export graphical maps. It supports both raster and vector layers; vector data is stored as points, lines, or polygons. The software handles multiple raster image formats and can georeference images. In summary, it allows users to create, edit, visualize, analyze, and publish geospatial information on Windows, Mac, Linux, and BSD.
In its first phase, this program introduces the QGIS interface for general usage. In the second phase, we introduce PyQGIS, the Python libraries of QGIS, which allow you to integrate GIS functionalities into your Python code or applications, even enabling you to create your own Python plugin around specific GIS functionalities.
