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
Need help picking the right course?
uae@nobleprog.com or +971 4871 6715
Data Analysis with Python, Pandas and Numpy Training Course - 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 the UAE (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.
ArcGIS from Basic to Advanced
35 HoursThis instructor-led, live training session in the UAE (available online or on-site) is intended for GIS professionals and analysts at 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 the UAE (online or onsite) is designed for beginner-level IT support personnel who wish to deliver robust support for ArcGIS Enterprise, effectively resolving any anomalies or failures.
Upon completion of this training, participants will be capable of:
- Grasping the architecture and key components of ArcGIS Enterprise.
- Acquiring the skills to install, configure, and manage ArcGIS Enterprise.
- Developing troubleshooting abilities to address common issues.
- Building proficiency in monitoring and maintaining ArcGIS Enterprise environments.
- Mastering backup, recovery, and performance optimization techniques.
ArcGIS Fundamentals
14 HoursThis instructor-led live training in the UAE (online or onsite) is tailored for beginner-level professionals looking to learn the essential 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 Professional Plus: Advanced GIS Data Management and Analysis
14 HoursAdvanced ArcGIS Pro for Spatial Analysis
35 HoursThis instructor-led live training in the UAE (online or onsite) targets advanced-level GIS professionals who aim to enhance their spatial analysis capabilities using ArcGIS Pro, conduct comprehensive geostatistical analysis, and apply advanced 3D modeling techniques to improve decision-making and problem-solving in practical 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.
Advanced Power Systems and GIS Integrated Solutions
70 HoursIn the dynamic energy industry, combining electrical transient analysis with accurate geographic information is a critical strategic requirement. Currently, depending on disjointed data creates substantial operational risks. This 14-day intensive course in Melbourne aims to connect the fields of electrical engineering and geospatial management.
Fintech: A Practical Introduction for Managers
14 HoursIn this live, instructor-led training held in the UAE, participants will cultivate an in-depth understanding of the technologies, methods, and mindset necessary to implement a robust Fintech strategy.
This program is tailored for managers seeking a comprehensive overview of Fintech, aiming to cut through industry hype and jargon to take tangible first steps in adopting new technologies for financial business and services.
By the end of this session, participants will be able to:
- Present viable Fintech strategies for their organization.
- Understand and explain the role and functionality of key technologies.
- Draft an action plan for introducing new technologies in step-by-step fashion.
Advanced Geographic Information Systems (GIS)
21 HoursThis instructor-led live training in the UAE (online or onsite) is aimed at intermediate-level geographers who wish to deepen their expertise in spatial analysis, data management, and GIS applications.
By the end of this training, participants will be able to:
- Apply advanced spatial analysis techniques to solve complex geographical problems.
- Manage large spatial databases and perform data quality control.
- Create dynamic and interactive maps and visualizations for various applications.
- Utilize programming and automation to streamline GIS workflows.
Insurance in the Digital Era
14 HoursIREB CPRE – Foundation Level (Extended): Practical Requirements Engineering and Certification Preparation
14 HoursThis live, instructor-led training in the UAE explores practical Requirements Engineering concepts, elicitation strategies, and documentation methods. It offers comprehensive exam preparation to help participants master the IREB CPRE syllabus and successfully pass the Foundation Level certification.
Python for ArcGIS and QGIS for Earth Sciences and Engineering Professionals
35 HoursThis instructor-led live training in the UAE (online or onsite) is tailored for beginner-level professionals in earth sciences and engineering who wish to apply Python for geospatial analysis in ArcGIS and QGIS environments.
By the conclusion of this training, participants will be able to:
- Learn Python syntax and control structures for efficient geospatial task execution.
- 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 HoursRequirements Analysis
21 HoursThis instructor-led, live training in the UAE (online or on-site) is designed for individuals who wish to understand requirements analysis and perform it efficiently and accurately using analysis techniques for their projects.
By the end of this training, participants will be able to:
- identify different types of requirements.
- understand the overall concepts of, and activities within, requirements analysis.
- be familiar with the requirements analysis methodology.
- use different requirements analysis techniques to their advantage.
- structure requirements in order to communicate efficiently with architects and developers through an iterative requirement gathering process.