Advanced Data Manipulation with Python Training Course
Gain the skills you need to advance your career. This course offers hands-on learning, expert guidance, and real-world applications designed to help you grow.
Course Overview
| Course Title | Advanced Data Manipulation with Python Training Course |
| Organization | Tech For Development (T4D) |
| Venue | Tech For Development (T4D) Training Center along Tala Road, Runda, Nairobi |
| Duration | 10 days |
| Target Industries |
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| Target Job Roles |
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| Course Fees (Face-to-Face) | USD 2,200/KES 150,000 (Exclusive of VAT) |
| Course Fees (Virtual) | |
| Training Modes | Virtual and face-to-face training |
| Payment | Payment should be made to the Tech For Development (T4D) bank account on or before the start of the course |
| Accreditation | Tech For Development Certificate of Course Completion |
Course Overview
This course offered by T4D delves deeper into Python for data manipulation, covering complex techniques and tools. Participants will explore advanced features of pandas, NumPy, and other libraries to handle large and complex datasets efficiently. The course includes practical examples and projects to apply learned skills.
Duration
10 Days
Target Audience
- Experienced data scientists
- Data engineers
- Python developers
Personal Impact
- Master advanced data manipulation techniques in Python.
- Enhance ability to handle large and complex datasets.
- Gain proficiency in pandas, NumPy, and other Python libraries.
- Improve data analysis and processing skills for advanced projects.
Organizational Impact
- Improve data processing capabilities within the organization.
- Enhance data-driven decision-making with advanced data manipulation.
- Ensure efficient handling of large and complex datasets.
- Enable the development of sophisticated data analysis solutions.
Course Objectives
- Understand advanced features of pandas and NumPy.
- Learn complex data manipulation techniques.
- Handle large datasets efficiently in Python.
- Optimize data processing workflows for performance.
- Work with time series and unstructured data.
- Develop custom data transformations and functions.
- Integrate Python with other data tools and platforms.
- Troubleshoot and resolve advanced data manipulation issues.
- Apply learned skills to real-world data projects.
- Enhance data analysis and reporting capabilities.
Course Modules
Course Outline
Module 1: Advanced pandas Techniques
- Advanced DataFrame operations
- MultiIndex and hierarchical indexing
- Working with time series data
- Case Study: Application of hierarchical indexing to analyze multi-level sales data.
Module 2: Advanced NumPy Techniques
- Advanced array operations
- Broadcasting and vectorization
- Handling large arrays efficiently
- Case Study: Optimizing financial calculations with large NumPy arrays.
Module 3: Data Cleaning and Preprocessing
- Advanced data cleaning techniques
- Handling missing data
- Data normalization and scaling
- Case Study: Cleaning and preparing survey data for analysis.
Module 4: Data Transformation and Reshaping
- Complex data transformation techniques
- Reshaping and pivoting data
- Working with categorical data
- Case Study: Transforming customer data for market segmentation analysis.
Module 5: Performance Optimization
- Optimizing data processing workflows
- Profiling and debugging code
- Parallel processing with Dask
- Case Study: Speeding up ETL processes in a large-scale data pipeline.
Module 6: Working with Unstructured Data
- Handling text data
- Working with JSON and XML data
- Natural Language Processing (NLP) basics
- Case Study: Extracting insights from customer reviews using NLP.
Module 7: Custom Data Functions and Pipelines
- Developing custom data transformation functions
- Creating reusable data processing pipelines
- Using pipeline libraries like sklearn-pipeline
- Case Study: Automating data transformation workflows for an e-commerce platform.
Module 8: Integrating Python with Other Tools
- Integrating Python with SQL databases
- Using Python with big data tools like Spark
- Interfacing with APIs and web services
- Case Study: Extracting and processing data from a web API to enrich a business dataset.
Module 9: Practical Data Projects
- Real-world data manipulation projects
- Applying advanced techniques to projects
- Project presentations and feedback
- Case Study: Building a comprehensive data dashboard for financial reporting.
Module 10: Troubleshooting and Best Practices
- Common issues and solutions
- Best practices for advanced data manipulation
- Future trends in data manipulation with Python
- Case Study: Implementing best practices to resolve bottlenecks in a production environment.
Course Administration
Methodology
Instructor-led sessions use a blended learning approach combining presentations, guided practical exercises, web-based tutorials, and group work, delivered by seasoned industry experts. All facilitation and course materials are in English, so participants should be reasonably proficient in the language.
Accreditation
Upon successful completion of this training, participants will be issued a Tech For Development Certificate of Course Completion certified by the National Industrial Training Authority (NITA).
Training Venue
The training will be held at the Tech For Development Training Centre. The course fee covers the course tuition, training materials, two break refreshments, and lunch. All participants will additionally cater to their travel expenses, visa application, insurance, and other personal expenses.
Accommodation & Airport Transfer
Arranged upon request.For reservations contact the Training Officer:
Email: [email protected]
Phone: (+254) 790 824 179
Tailor-Made
This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our T4D Training Centre or at a convenient location.
Payment
Payment should be transferred to the T4D account through a bank on or before the start of the course. Send proof of payment to [email protected].
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Previous Participants
| # | Role | Organization | Country |
|---|---|---|---|
| 1 | Q | Ethiopian Inistitute of Agricultural Research | Ethiopia |