Data Science Course

Data Science Course in Bangalore: Complete 30-Module Syllabus with Projects

Explore the complete Data Science course at Cranesoft Bangalore. 30 modules covering Python, statistics, SQL, machine learning, deep learning, NLP, generative AI, Power BI, Tableau, and 18+ hands-on projects with Exam.

Duration:120+ Hours
Modules:30 Modules
Projects:18+ Projects
Salary:₹6–18 LPA
Call: +91 93419 32795
Course Structure

A structured Data Science syllabus designed for career success

The Data Science course in Bangalore at Cranesoft is built around a 30-module curriculum that takes you from absolute beginner to job-ready data scientist. Each module builds on the previous one, ensuring a smooth learning curve and deep understanding of every concept.

The course begins with Python programming fundamentals and data science libraries, then progresses through data cleaning, statistics, and SQL — the foundational skills every data scientist needs. From there, you dive into exploratory data analysis and data visualisation with Matplotlib, Seaborn, Power BI, and Tableau.

The advanced modules cover machine learning algorithms, deep learning with TensorFlow and Keras, computer vision, NLP, and generative AI with LLMs. You also learn MLOps, cloud deployment, and build a professional GitHub portfolio. The course concludes with a capstone project, interview preparation, and career development guidance.

Course Modules

Key areas covered in the Data Science syllabus

Python Programming

Variables, data types, functions, OOP, exception handling, and libraries specifically for data science workflows.

Data Manipulation & SQL

NumPy arrays, Pandas DataFrames, SQL queries, joins, subqueries, window functions, and data extraction for analytics.

Statistics & Analysis

Descriptive statistics, probability, hypothesis testing, correlation, and exploratory data analysis on real datasets.

Machine Learning

Regression, classification, clustering, ensemble methods, hyperparameter tuning, and model evaluation metrics.

Data Visualisation

Matplotlib, Seaborn, Power BI dashboards, Tableau reports, and data storytelling for executive audiences.

Deep Learning & NLP

Neural networks, CNNs, text processing, sentiment analysis, word embeddings, and generative AI with LLMs.

Deployment & MLOps

Flask/FastAPI, Streamlit, Docker, cloud deployment, model monitoring, and ML pipeline automation.

Exam & Career

Capstone project, GitHub portfolio, mock interviews, resume building, and job placement support.

FAQ

Frequently asked questions

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