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6 Months Data Science Course in Bengaluru

Enroll in a 6-month Data Science course in Bengaluru and gain hands-on experience in Python, Machine Learning, and AI. Get expert training with placement assistance to launch your data science career.

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6 Months Data Science Course in Bengaluru

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  1. Data Science Course Master the Art of Data-Driven Decision Making

  2. Introduction to Data Science What is Data Science? Importance Interdisciplinary field combining statistics, computer science, and domain knowledge to extract insights from data. Backbone of modern businesses, enabling data-driven decisions, process optimization, and innovation.

  3. Why Bengaluru for Data Science? Data Science Hub Bengaluru is home to top tech companies, startups, and educational institutions. High demand for data science professionals across finance, healthcare, and e-commerce.

  4. Data Science Career Pathways 1 2 Data Analyst Data Scientist Data cleaning, exploration, and reporting. Develop predictive models, machine learning, deep learning. 3 4 ML Engineer Data Engineer Build and deploy machine learning models. Manage data pipelines and databases.

  5. Course Overview Introduction to Data Science 1 Python for Data Science 2 Data Analysis & Visualization 3 Machine Learning Algorithms 4 Deep Learning & Neural Networks 5 Big Data & Cloud Computing 6 Project Work & Case Studies 7

  6. Key Tools & Technologies Programming Languages Data Visualization ML Frameworks Big Data & Cloud Tableau TensorFlow Hadoop, Spark Python (NumPy, Pandas, Matplotlib, Seaborn, Scikit-Learn) Power BI Keras AWS / Google Cloud PyTorch R (for statistical analysis)

  7. Curriculum Breakdown: Core Modules Module 1: Introduction Module 2: Python Module 3: Analysis & Viz History, importance, and key concepts of data science. Python basics for data manipulation and core libraries. Data cleaning, EDA, and visualization techniques.

  8. Curriculum Breakdown: Advanced Modules Module 4: Machine Learning Module 5: Deep Learning Module 6: Big Data & Cloud Supervised vs. Unsupervised learning, classification, regression, clustering, evaluation metrics. Introduction to deep learning, building neural networks with TensorFlow/Keras. Hadoop and Spark for large datasets, cloud computing platforms (AWS, Google Cloud).

  9. Student Testimonials "This course changed my career! The hands-on approach helped me land a job as a Data Scientist." "The best part of the course was learning how to solve real business problems using data."

  10. Thank You! Contact Information: Email: connect@bostoninstituteofanalytics.org Phone: +91 96190 00123 Website: https://bostoninstituteofanalytics.org/

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