Data Science Course Section

Data Science Certification Course

Master Python, statistics, and machine learning with hands‑on projects designed for real‑world impact.

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Data Science Certification Course

Build strong foundations in statistics, Python, and machine learning. This course focuses on real‑world problem solving and industry‑ready skills.

Course Highlights

📊 Strong Statistics Foundation
🤖 Machine Learning & AI
🧑‍💻 Hands-on Coding Projects
📈 Real-world Case Studies
🎓 Industry Certificate
💼 Career-focused Learning

What You Will Learn

  • Python programming for data science
  • Data cleaning and preprocessing
  • Exploratory data analysis and visualization
  • Supervised and unsupervised learning
  • Model evaluation and optimization
  • Introduction to deep learning concepts

Course Curriculum

Module 1: Introduction to Data Science

Data science lifecycle, tools, and industry applications.

Module 2: Python for Data Science

NumPy, Pandas, data manipulation and analysis.

Module 3: Statistics & Probability

Distributions, hypothesis testing, correlation.

Module 4: Data Visualization

Matplotlib, Seaborn, and data storytelling.

Module 5: Machine Learning

Regression, classification, clustering, evaluation.

Module 6: Capstone Project

End‑to‑end real‑world data science project.

Tools & Technologies

Python NumPy Pandas Scikit‑Learn TensorFlow Jupyter

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More About This Course

Who Should Enroll?

Aspiring data scientists, analysts, engineers, and career switchers.

Career Opportunities

Data Scientist, ML Engineer, AI Analyst, Research Analyst.

Course Duration

16–24 weeks with flexible learning options.