Best Data Science course in Bengaluru with Placement
Discover the best Data Science course in Bengaluru with guaranteed placement assistance. Learn essential skills like machine learning, data analytics, and AI, and secure a promising career with top industry connections and job support!
Introduction to DataScience
What is Data Science?
Interdisciplinary field combining statistics, computer
science, and domain knowledge to extract insights from
data.
Importance
Backbone of modern businesses, enabling data-driven
decisions, process optimization, and innovation.
3.
Why Bengaluru forData 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 CareerPathways
1
Data Analyst
Data cleaning, exploration, and reporting.
2
Data Scientist
Develop predictive models, machine learning, deep learning.
3
ML Engineer
Build and deploy machine learning models.
4
Data Engineer
Manage data pipelines and databases.
5.
Course Overview
1
Introduction toData Science
2
Python for Data Science
3
Data Analysis & Visualization
4
Machine Learning Algorithms
5
Deep Learning & Neural Networks
6
Big Data & Cloud Computing
7
Project Work & Case Studies
6.
Key Tools &Technologies
Programming
Languages
Python (NumPy, Pandas,
Matplotlib, Seaborn,
Scikit-Learn)
R (for statistical analysis)
Data Visualization
Tableau
Power BI
ML Frameworks
TensorFlow
Keras
PyTorch
Big Data & Cloud
Hadoop, Spark
AWS / Google Cloud
7.
Curriculum Breakdown: CoreModules
Module 1: Introduction
History, importance, and key
concepts of data science.
Module 2: Python
Python basics for data manipulation
and core libraries.
Module 3: Analysis & Viz
Data cleaning, EDA, and
visualization techniques.
8.
Curriculum Breakdown: AdvancedModules
Module 4: Machine Learning
Supervised vs. Unsupervised
learning, classification, regression,
clustering, evaluation metrics.
Module 5: Deep Learning
Introduction to deep learning,
building neural networks with
TensorFlow/Keras.
Module 6: Big Data & Cloud
Hadoop and Spark for large
datasets, cloud computing platforms
(AWS, Google Cloud).
9.
Student Testimonials
"This coursechanged 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."