Course description

The Data Science with Machine Learning course at Rimon Institute, Thane is an in-depth program tailored for individuals looking to excel in the field of data science and machine learning. This course provides the perfect blend of theory and practical application to help you analyze data, build predictive models, and make data-driven decisions.

You will start by mastering Python programming and essential libraries such as Pandas, NumPy, and Matplotlib for data analysis and visualization. Moving forward, you’ll dive into machine learning concepts, learning both supervised and unsupervised algorithms. The course concludes with real-world projects to strengthen your skills and prepare you for a successful career.

What You Will Learn

1. Python for Data Science

   • Python basics, data handling, and libraries (Pandas, NumPy, Matplotlib).

2. Data Analysis and Visualization

   • Cleaning, analyzing, and visualizing large datasets for actionable insights.

3. Statistical Methods for Data Science

   • Probability, hypothesis testing, and descriptive/inferential statistics.

4. Introduction to Machine Learning

   • Supervised Learning: Linear Regression, Logistic Regression, Decision Trees.
   • Unsupervised Learning: Clustering (K-means) and Dimensionality Reduction.

5. Advanced Machine Learning

   • Algorithms: Random Forest, SVM, and Gradient Boosting.
   • Model evaluation, tuning, and feature engineering.

6. Hands-on Projects

   • Build real-world projects to apply ML models for prediction and analysis.

What will i learn?

• Understand Python programming for data science
• Analyze and visualize complex datasets effectively.
• Gain knowledge of core machine learning algorithms (supervised and unsupervised).
• Build, evaluate, and optimize predictive models.
• Be job-ready for roles in Data Science, Machine Learning, and AI.

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