Best Data Science training in Kerala Faith Infosys

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Works on Live Projects and Internship

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The Data Science course is designed for beginners and professionals who want to quickly understand the fundamentals of data science and its real-world applications. The course begins with an introduction to data science concepts, the data science lifecycle, and the key stages of a typical data science project — from data collection and cleaning to analysis and visualization. Learners will also get an overview of essential Python libraries used in data science, such as NumPy, pandas, Matplotlib, and scikit-learn.

The course then covers core programming, statistical, and analytical concepts required for data science, including data preprocessing, exploratory data analysis (EDA), feature engineering, and model evaluation. Students will learn how to work with datasets, extract insights, and implement basic machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering techniques. Practical exercises will help learners understand how to analyze data, build predictive models, and interpret their results effectively.

Finally, the course introduces advanced topics such as data visualization, big data concepts, and an introduction to deep learning and model deployment. By the end of the course, participants will have a strong foundation in data science principles, be able to perform end-to-end data analysis, and be prepared to explore advanced topics in machine learning and artificial intelligence.

Main Topics / Course Modules:

Introduction to Data Science and Its Applications
The Data Science Process and Lifecycle
Python for Data Science (Libraries: NumPy, pandas, Matplotlib, scikit-learn)
Data Collection, Cleaning, and Preprocessing
Exploratory Data Analysis (EDA) and Data Visualization
Statistical Concepts and Probability for Data Science
Feature Engineering and Selection Techniques
Machine Learning Fundamentals (Regression, Classification, Clustering)
Model Evaluation and Validation Metrics (Accuracy, Precision, Recall, F1 Score, ROC-AUC)
Introduction to Big Data, Deep Learning, and Model Deployment

Do You Want Data Science Full Stack Development?

Machine Learning Course at Faith Infosys is designed to make you proficient in building intelligent systems, with hands-on experience in data preprocessing, model building, and evaluation using Python and popular ML libraries