Workshops

An overview of popular open-source data tools and their applications, including databases (e.g., MySQL, PostgreSQL), data processing frameworks (e.g., Apache Spark, Apache Flink), and visualization libraries (e.g., Matplotlib, D3.js).

Introduction to Open-Source Data Tools

3 Days

Hands-on workshop focusing on data manipulation and analysis using the Pandas library in Python. Participants learn how to clean, transform, and analyze data efficiently for various data tasks.

Data Wrangling with Pandas

2 Days

An introductory workshop on SQL (Structured Query Language), covering basic database concepts, querying databases using SQL commands, and performing data manipulation tasks such as filtering, joining, and aggregating data.

Introduction to SQL

2 Days

Workshop focusing on building scalable and fault-tolerant data pipelines using Apache Kafka and Apache NiFi. Participants learn how to ingest, process, and route data in real-time using these open-source tools.

Building Data Pipelines with Apache Kafka and Apache NiFi

2 Days

Hands-on workshop on machine learning fundamentals using the Scikit-Learn library in Python. Participants learn how to train and evaluate machine learning models for classification, regression, and clustering tasks.

Machine Learning with Scikit-Learn

2 Days

Workshop on natural language processing (NLP) using the Natural Language Toolkit (NLTK) in Python. Participants learn how to process and analyze text data, perform sentiment analysis, and extract meaningful insights from textual content.

Text Analysis with NLTK

2 Days

Introduction to big data analytics using the Apache Hadoop ecosystem. Participants learn about Hadoop's distributed file system (HDFS), MapReduce programming model, and ecosystem components such as Hive and Pig for data processing.

Big Data Analytics with Apache Hadoop

3 Days

Workshop on analyzing geospatial data using GeoPandas library in Python. Participants learn how to work with spatial data structures, perform spatial operations, and create interactive maps for visualization.

Geospatial Data Analysis with GeoPandas

2 Days

Workshop discussing ethical considerations and privacy concerns in data science and analytics. Participants explore ethical frameworks, regulatory compliance, and best practices for responsible data usage and handling.

Data Ethics and Privacy

2 Days

Workshop focusing on building real-time data streaming applications using Apache Kafka. Participants learn how to set up Kafka clusters, produce and consume streaming data, and build stream processing pipelines using Kafka Streams or other frameworks.

Real-Time Data Streaming with Apache Kafka

3 Days

Hands-on workshop on creating interactive and insightful data visualizations using Tableau software. Participants learn how to connect to data sources, design dashboards, and share visualizations for data-driven decision-making.

Data Visualization with Tableau

2 Days

Workshop on web scraping techniques using Python libraries such as BeautifulSoup and Scrapy. Participants learn how to extract data from websites, parse HTML content, and automate web scraping tasks for data collection.

Web Scraping with BeautifulSoup and Scrapy

1 Day