Big Data Analytics with Python

This intensive course offered by IRES is designed to equip participants with the skills and knowledge needed to leverage Python for processing, analyzing, and visualizing large datasets.

The course covers essential Python libraries and frameworks used in big data analytics, including pandas, matplotlib, seaborn, and PySpark.

Participants will gain hands-on experience through practical projects and case studies, enabling them to apply their learning to real-world data challenges.

Duration

10 Days

Target Audience

1. Data scientists
2. Data analysts
3. Python developers
4. IT professionals
5. Business analysts

Personal Impact

1. Enhance proficiency in Python for big data analytics.
2. Develop skills for data manipulation, analysis, and visualization.
3. Gain hands-on experience with real-world big data projects.
4. Improve ability to derive insights from large datasets.

Organizational Impact

1. Promote advanced data analytics practices within the organization.
2. Enhance decision-making through data-driven insights.
3. Ensure effective utilization of big data technologies.
4. Improve overall data management and analytics capabilities.

Course Level: Advanced

Course Objectives

1. Understand the fundamentals of big data analytics with Python.
2. Learn data manipulation techniques using pandas.
3. Develop skills for data visualization with matplotlib and seaborn.
4. Gain proficiency in big data processing with PySpark.
5. Explore machine learning applications with Python.
6. Understand best practices for handling large datasets.
7. Learn to implement scalable data analytics solutions.
8. Gain insights into practical applications of big data analytics.
9. Develop skills for working with unstructured data.
10. Enhance ability to communicate data insights effectively.

Course Outline

Module 1: Introduction to Big Data Analytics

1. Overview of big data analytics
2. Importance of Python in big data
3. Key concepts and definitions
4. Case Study: Analyzing Customer Behavior Using Big Data

Module 2: Python Basics for Data Analytics

1. Python programming fundamentals
2. Data structures and libraries
3. Setting up the Python environment
4. Practical Component: Developing a Simple Data Analytics Application Using Python

Module 3: Data Manipulation with pandas

1. Introduction to pandas
2. Data cleaning and preparation
3. Advanced data manipulation techniques
4. Practical Component: Cleaning and Analyzing a Real-World Dataset Using pandas

Module 4: Data Visualization with matplotlib and seaborn

1. Basics of data visualization
2. Creating plots with matplotlib
3. Enhancing visualizations with seaborn
4. Practical Component: Visualizing Sales Data to Identify Trends and Patterns

Module 5: Introduction to PySpark

1. Overview of PySpark
2. Setting up PySpark environment
3. Working with RDDs and DataFrames
4. Case Study: Using PySpark for Large-Scale Data Processing in a Retail Environment

Module 6: Big Data Processing with PySpark

1. Data processing workflows in PySpark
2. Transformations and actions
3. Performance optimization
4. Practical Component: Optimizing Data Processing Workflows for a Social Media Platform Using PySpark

Module 7: Machine Learning with Python

1. Introduction to machine learning
2. Using scikit-learn for machine learning
3. Implementing machine learning models
4. Practical Component: Building a Predictive Model for Customer Churn Using Python

Module 8: Handling Unstructured Data

1. Understanding unstructured data
2. Techniques for processing unstructured data
3. Case Study: Text Mining for Sentiment Analysis in Customer Reviews

Module 9: Practical Projects in Big Data Analytics

1. Real-world big data projects
2. Applying learned skills to projects
3. Project presentations and feedback
4. Practical Component: Capstone Project - Building a Big Data Solution for a Specific Industry Problem

Module 10: Communicating Data Insights

1. Best practices for data storytelling
2. Creating impactful data reports
3. Effective communication of data insights
4. Practical Component: Presenting Data-Driven Insights to Stakeholders in a Business Scenario

Related Courses

1. Fundamental Data Analysis to Real Business Problems Training Course
2. Advanced Microsoft Excel Mastery Training Course
3. Mobile Data Collection, Analysis, and Mapping with ODK and Kobo Toolbox Training Course
4. Advanced Graphics, Tabulations and Statistical Analysis using STATA Training Course
5. Unsupervised Learning for Data Analytics using TensorFlow Training Course
6. Introduction to MAXQDA Software in Qualitative and Mixed Methods Data Analysis Training Course

Course Administration Details

Methodology

The instructor-led trainings are delivered using a blended learning approach and comprise presentations, guided sessions of practical exercise, web-based tutorials, and group work.

Our facilitators are seasoned industry experts with years of experience, working as professionals and trainers in these fields.

All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English.

Accreditation

Upon successful completion of this training, participants will be issued an Indepth Research Institute (IRES) certificate certified by the National Industrial Training Authority (NITA).

Training Venue

The training will be held at IRES Training Centre.

The course fee covers the course tuition, training materials, two break refreshments, and lunch. 

In addition to our training in Kenya (Nairobi, Mombasa, Kisumu, Nakuru, and Naivasha), we conduct training in the following locations:

1. Dubai - United Arab Emirates
2. Cairo - Egypt
3. Johannesburg, Pretoria, and Cape Town - South Africa
4. Zanzibar, Dar-es-Salaam, and Arusha - Tanzania
5. Kigali - Rwanda
6. Accra - Ghana
7. Kampala - Uganda

Accommodation and Airport Transfer

Accommodation and airport pickup are arranged upon request. For reservations, kindly contact us.

• Email: [email protected]
• Phone: +254715 077 817

Tailor-Made Program

This training can also be customized to suit the needs of your institution upon request.

You can have it delivered at IRES Training Centre or at a convenient location.

For further inquiries, please contact us