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 Turkey (online or on-site) 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 Turkey (online or onsite) is designed for intermediate-level environmental scientists and archaeologists who want to learn how to use ArcMap in ArcGIS to collect, organize, manage, and analyze geographic information.
By the end of this training, participants will be able to:
- Understand the core concepts of ArcMap and ArcGIS.
- Collect, organize, manage, and analyze geographic information related to social and archaeological aspects.
- Perform spatial queries to evaluate impacts.
ArcGIS from Basic to Advanced
35 HoursThis live, instructor-led training in Turkey (online or onsite) caters to GIS professionals and analysts from beginner to advanced levels who aim to leverage ArcGIS for data visualization, spatial analysis, and geospatial project management.
Upon completion, participants will gain the ability to:
- Effectively navigate and apply ArcGIS tools for managing geospatial data.
- Design and tailor maps utilizing layers and attributes.
- Execute complex spatial analysis and geoprocessing operations.
- Streamline workflows through ModelBuilder and Python automation.
ArcGIS Enterprise for Technical Support
14 HoursThis live, instructor-led training Turkey (online or onsite) is tailored for beginner-level IT support personnel seeking to provide strong support for ArcGIS Enterprise and effectively resolve any system anomalies or failures.
By the conclusion of this training, participants will be able to:
- Understand the architecture and 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 Turkey (online or on-site) targets beginner-level professionals seeking to learn the essential concepts and tools of ArcGIS.
By the conclusion 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 completion of this training, participants will be equipped to:
- Gain a solid understanding of GIS concepts and spatial data types using the most recent version of ArcGIS Pro.
- Navigate the user interface and assess its practical applications.
- Explore the capabilities of ArcGIS* Pro and effectively leverage online resources.
- Manage, manipulate, and analyze personal datasets.
- Present and share data in innovative and meaningful ways.
Note: The latest version of ArcGIS Pro will be utilized throughout the course.
ArcGIS Professional Plus: Advanced GIS Data Management and Analysis
14 HoursArcGIS Professional Plus is a specialized version of ArcGIS Pro, designed to provide expanded capabilities for geospatial data analysis, 3D modeling, automation, and enterprise collaboration.
This instructor-led, live training (available online or onsite) is designed for intermediate-level GIS professionals seeking to enhance their expertise in spatial data analysis, automation, and sharing through ArcGIS Professional Plus tools.
Upon completion of this training, participants will be able to:
- Utilize ArcGIS Pro Plus tools to effectively visualize and analyze data.
- Develop 2D and 3D maps employing advanced symbology and geoprocessing methods.
- Automate workflows using ModelBuilder and Python scripting.
- Integrate ArcGIS with external data services and enterprise systems.
Course Format
- Interactive lectures and group discussions.
- Extensive exercises and practical applications.
- Hands-on implementation within a live-lab environment.
Course Customization Options
- For requests regarding customized training for this course, please contact us to arrange.
Advanced ArcGIS Pro for Spatial Analysis
35 HoursThis instructor-led, live training in Turkey (online or onsite) is designed for advanced GIS professionals who aim to leverage ArcGIS Pro to improve their spatial analysis capabilities, perform comprehensive geostatistical analysis, and implement advanced 3D modeling techniques to facilitate more effective decision-making and problem-solving in practical contexts.
Upon completion of this training, participants will be able to:
- Acquire advanced skills in spatial analysis techniques using ArcGIS Pro.
- Employ Python scripting for automation and complex data processing.
- Apply spatial modeling to solve real-world problems.
- Conduct geostatistical analysis for in-depth data interpretation.
- Integrate external data sources and utilize 3D spatial data analysis.
ArcGIS with Python Scripting
14 HoursThis instructor-led live training in Turkey (available online or on-site) is targeted at GIS analysts who want 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. Currently, depending on disjointed information sources exposes organizations to substantial operational risks. This 14-day intensive course in Melbourne aims to bridge the divide between electrical engineering and geospatial management.
Advanced Geographic Information Systems (GIS)
21 HoursThis instructor-led, live training in Turkey (online or onsite) is tailored for intermediate-level geographers aiming to enhance their expertise in spatial analysis, data management, and GIS applications.
By the conclusion of this training, participants will be able to:
- Apply sophisticated spatial analysis techniques to resolve intricate geographical issues.
- Manage extensive spatial databases and perform thorough data quality control.
- Develop dynamic and interactive maps and visualizations for a variety of uses.
- Use programming and automation to streamline GIS processes.
Google Maps API for Developers
14 HoursThis instructor-led, live training in Turkey (online or onsite) is designed for developers who want 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 syncs with the current location.
- Create a mashup that incorporates Google Maps.
- Apply best practices for CSS and JavaScript coding.
- Develop a custom map for an application.
Python for ArcGIS and QGIS for Earth Sciences and Engineering Professionals
35 HoursThis instructor-led, live training in Turkey (online or onsite) targets 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 framework built for capturing, storing, analyzing, managing, and presenting spatial or geographic data. The term GIS is also occasionally used to refer to Geographic Information Science (GIScience), which is the academic discipline dedicated to studying geographic information systems, representing a significant segment within the broader field of geoinformatics.
QGIS operates as comprehensive GIS software, enabling users to analyze and edit spatial information, as well as create and export graphical maps. It supports both raster and vector layers; vector data is organized into point, line, or polygon features. The software accommodates multiple raster image formats and includes capabilities for georeferencing images. In essence, it empowers users to create, edit, visualize, analyze, and publish geospatial information across Windows, Mac, Linux, and BSD platforms.
In its initial phase, this course introduces the QGIS interface for general operational use. The second phase focuses on PyQGIS—the Python libraries of QGIS—which facilitate the integration of GIS functionalities into your Python code or applications. This enables you to develop custom Python plugins tailored to specific GIS functions.