Data Science with Python Course in Bangalore

End-to-end machine learning: from data collection to model deployment

About This Course

Our flagship Data Science course covers the complete machine learning pipeline. Starting from data collection and preprocessing, you will learn feature engineering, supervised and unsupervised learning algorithms, model evaluation, hyperparameter tuning, ensemble methods, and basic deep learning. Using Scikit-learn, you will build end-to-end ML projects ready for your portfolio and interviews.

Course Highlights

Syllabus & Modules

What is data science, ML vs AI vs DL, data science lifecycle, Python refresher, Jupyter environment, and exploratory data analysis.

Handling missing data, encoding categorical variables, feature scaling, feature selection, polynomial features, and data pipelines with Scikit-learn.

Linear regression, polynomial regression, regularization (Ridge, Lasso, ElasticNet), evaluation metrics (MSE, RMSE, R-squared), and real-world regression projects.

Logistic regression, KNN, Decision Trees, Random Forest, SVM, Naive Bayes, evaluation metrics (accuracy, precision, recall, F1, ROC-AUC), and multi-class classification.

K-Means clustering, hierarchical clustering, DBSCAN, PCA, t-SNE, bagging, boosting (XGBoost, AdaBoost, Gradient Boosting), and stacking.

Hyperparameter tuning (GridSearchCV, RandomizedSearchCV), cross-validation strategies, model serialization, Flask API basics, and capstone project presentation.

Why Learn Data Science with Python?

Mastering Data Science with Python is one of the most in-demand skills in today's data-driven job market. Companies across all industries are looking for professionals who can work with data effectively. This course prepares you with practical, job-ready skills backed by real-world projects and industry mentorship. With our 100% placement assistance, you'll be well-positioned to land roles that leverage these skills.

Who Should Join?

Course Details

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FAQs

Questions About Data Science with Python

Do I need prior experience for this course?

Basic knowledge of programming and data concepts is recommended. If you have completed our foundational courses or have equivalent experience, you are ready for this course.

What is the course duration and schedule?

The course runs for 12 Weeks with both weekday and weekend batch options. Classes are conducted online / offline, so you can choose what fits your schedule best. Each session is approximately 1.5 to 2 hours.

Will I get a certificate?

Yes! Upon successful completion of the course and projects, you will receive an industry-recognized certificate from Leaders Data Science Learning Center. This certificate is valued by employers and can be added to your resume and LinkedIn.

Do you provide placement support?

Absolutely! We provide 100% placement assistance including resume building, mock interviews, portfolio review, LinkedIn optimization, and connections with 50+ hiring partners. Our average placement time is 30 days after course completion.

Data Science with Python Course in Bangalore

About This Course

Course Highlights

Syllabus & Modules

Data Science Foundations

Data Preprocessing & Feature Engineering

Supervised Learning - Regression

Supervised Learning - Classification

Unsupervised Learning & Ensemble Methods

Model Tuning & Deployment