Data Science Course in Kalyan

Study Data Science at IT Accurate in Kalyan with Python, SQL, statistics and machine learning.

Build practical skills through data preparation, exploratory analysis and predictive modelling projects.

Explore the course syllabus, discuss prerequisites and book a demo with the Kalyan admission team.

Visit Office 405–406, Chandulal Joshi Complex, Kalyan West, near Kalyan railway station.

Call +91 7977958104 for current fees, batch dates and learning formats.

Course syllabus

Python Essentials
Applied Statistics
Data Processing & EDA
Supervised Learning
Unsupervised Learning
Ensemble Methods
Model Tuning & Featurisation
Neural Networks & Deep Learning
Computer Vision
Natural Language Processing (NLP)
SQL & Databases
Power BI & Data Visualization
Generative AI & ChatGPT

Call the Kalyan admission team Kalyan centre Compare Data Analytics in Kalyan

Plan your Data Science learning in Kalyan

Use a synthetic dataset to explore a prediction question. Separate training and test data, compare a simple baseline and check for data leakage.

Questions to ask before choosing a batch

What background do I need?

Tell the Kalyan admission team about your education and experience. Ask which prerequisites and foundation topics apply to your chosen course.

When is the next batch?

Contact the centre for the next available start date, timings, duration and classroom or online mode. Confirm availability before visiting.

What practical work and support are included?

Ask for the current syllabus, exercise and project scope, practice access and details of resume or interview preparation. Placement assistance does not guarantee employment. Contact us for fees.

405–406 Chandulal Joshi Complex, Kalyan Station Road, Kalyan West 421301

Plan your Data Science course in Kalyan

Data Science combines programming, statistics and model evaluation to answer a defined question. A useful model must be tested on data that was not used to fit it.

Learning topics and practical checks
Area	What to explain
Problem	Define the prediction and when it will be made
Data split	Separate training, validation and test records
Evaluation	Compare with a simple baseline and report limitations

A practical example to discuss

Use fictional monthly demand records. Reserve later months for evaluation and use only information that would have been available at prediction time. Compare the result with a simple previous-month baseline.

What makes a beginner machine-learning project reliable?

Show how you split the data, prevent information leakage and choose the evaluation metric. A high score alone does not establish usefulness. Confirm the current Python, statistics and project prerequisites.

Before choosing a batch

Ask for the current syllabus, prerequisites, learning mode, duration, schedule, practice access and project feedback. Contact us for fees and confirm any separate examination charges. Ask which resume guidance and interview preparation are included. Placement assistance does not guarantee employment.

Discuss your course choice with IT Accurate Kalyan

405–406, Chandulal Joshi Complex, Kalyan Station Road, Kalyan West 421301. Confirm course and demo availability before visiting.