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Data Science Course

Data Science is a transformative field in the era of big data. This course delves into statistical analysis, machine learning, and data visualization techniques to extract meaningful insights from complex datasets.
Students will gain hands-on experience with industry-relevant tools and languages, developing the skills required for data-driven decision-making. Understanding data science is essential for professionals aiming to harness the power of data for innovation and problem-solving.
Stay ahead in the dynamic field of data science with a comprehensive understanding of the tools and techniques used to uncover patterns and drive informed business decisions.

Objectives

  • Develop proficiency in statistical analysis and data visualization.
  • Gain hands-on experience with machine learning algorithms and tools.
  • Understand the principles of data-driven decision-making.
  • Learn to extract meaningful insights from complex datasets.

Course Outline

  • Introduction to Data Science and Statistics

  • Data Exploration and Preprocessing

  • Machine Learning Fundamentals

  • Supervised Learning: Regression and Classification

  • Unsupervised Learning: Clustering and Dimensionality Reduction

  • Time Series Analysis

  • Data Visualization with Python/R

  • Hands-on Projects

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