This beginner-friendly course provides a comprehensive introduction to logistic regression, one of the most widely used techniques in data science and analytics. Learners will explain regression fundamentals, differentiate probability prediction methods, and analyze logistic regression key concepts including logit transformation, odds interpretation, and Maximum Likelihood … [Read more...] about Logistic Regression Fundamentals: Analyze & Predict
Data Analysis
PySpark: Apply & Analyze Advanced Data Processing
This course equips learners with the skills to apply and analyze advanced data processing techniques using PySpark, the Python API for Apache Spark. Designed for data professionals with foundational Python and PySpark knowledge, the course explores real-world use cases including customer segmentation, text mining, and stochastic modeling. Learners will begin by applying RFM … [Read more...] about PySpark: Apply & Analyze Advanced Data Processing
Apache Spark: Design & Execute ETL Pipelines Hands-On
This hands-on course equips learners with the skills to design, build, and manage end-to-end ETL (Extract, Transform, Load) workflows using Apache Spark in a real-world data engineering context. Structured into two comprehensive modules, the course begins with foundational setup, guiding learners through the installation of essential components such as PySpark, Hadoop, and … [Read more...] about Apache Spark: Design & Execute ETL Pipelines Hands-On
Predictive Models: Build, Explore Data & Deploy
This hands-on course guides learners through the complete lifecycle of predictive modeling, using a real-world banking use case to forecast term deposit subscriptions. Learners will begin by defining a business problem, analyzing and interpreting raw data through Exploratory Data Analysis (EDA), and applying data preparation techniques such as imputation and variable selection. … [Read more...] about Predictive Models: Build, Explore Data & Deploy
Advanced Data Science Techniques (with AWS Integration)
Learn advanced machine learning techniques and cloud deployment in this comprehensive course designed for data professionals. Through hands-on projects, you'll learn to build, evaluate, and deploy sophisticated machine learning models using AWS services, while leveraging AI tools to enhance your workflow. This course is perfect for data analysts and scientists ready to … [Read more...] about Advanced Data Science Techniques (with AWS Integration)
