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Intermediate Data Science: Tools & Techniques (Bridge Course)

This intermediate-level course equips learners with practical skills in advanced data wrangling, exploratory analysis, machine learning, clustering, time series, and basic NLP. Participants gain hands-on experience using industry-standard tools, cloud platforms, and deployment techniques, culminating in a capstone project that demonstrates end-to-end data science proficiency.

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This intermediate-level course equips learners with practical skills in advanced data wrangling, exploratory analysis, machine learning, clustering, time series, and basic NLP. Participants gain hands-on experience using industry-standard tools, cloud platforms, and deployment techniques, culminating in a capstone project that demonstrates end-to-end data science proficiency.

Course Content

Clean, transform, and explore datasets using advanced Pandas, visualization tools, and feature engineering techniques.

Build and optimize regression and classification models, apply ensemble methods, and perform customer segmentation with clustering.

Analyze temporal data, forecast trends, and perform basic text analysis including sentiment classification.

Learn cloud-based platforms, model saving, and deploy ML models as web applications using Flask or FastAPI.

Apply all skills in a real-world project, integrating EDA, ML, NLP, and deployment to demonstrate end-to-end data science expertise.

Duration

  • 30 Hours (10 Sessions × 3 Hours)

  • Level: Intermediate / Bridge Course

  • Mode: Instructor-led (Lectures, Hands-on Labs, Case Studies, Project Work)

Description

This course builds on foundational data skills and equips learners with intermediate-level techniques used in real-world data science projects. Participants will work with advanced data wrangling, exploratory data analysis, regression and classification models, clustering, time series, and basic NLP. The course also introduces cloud tools, model deployment, and Git-based workflows. Learners complete a capstone project applying EDA, ML, and deployment skills to demonstrate end-to-end data science competency.

Rating

5.0
Course Rating
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SAR 1800 SAR 3000
  • Start Date1/5/2026 8:00:00 AM
  • Sessions30 Sessions
  • LanguageEnglish
  • Skill LevelBridge Course

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