Our Location

Data Science

See how we apply Data Science to uncover patterns, build predictive models, and deliver insights that drive smarter business decisions.

What We Do

Data Science In Action

Data Science is the process of studying data using algorithms and analytics to reveal patterns, build predictions, and support informed decision-making in business environments.

Predictive Modeling

We create models that forecast future trends based on historical and real-time data analysis.

Insight Generation

Our data pipelines extract meaningful insights from complex datasets to guide critical decisions.

Advanced Analytics

We apply machine learning and statistical methods to find hidden patterns and solve real-world problems.

📘 Course Curriculum

Data Science

A structured journey through Data Science topics, from Python foundations to deep learning and job readiness.

Module 01

Intro to Python

Start with Python basics: variables, data types, and syntax.

Module 02

Conditionals & Loops

Control flow using if-else and loops.

Module 03

Functions & OOP

Write reusable code and apply object-oriented concepts.

Module 04

Pandas & NumPy

Manipulate and analyze data with core libraries.

Module 05

Matplotlib & Seaborn

Visualize insights with effective charts and plots.

Module 06

EDA & Feature Engg.

Clean and transform data for better modeling.

Module 07

ML & Types

Explore supervised, unsupervised, and reinforcement learning.

Module 08

Regression

Predict continuous values using regression models.

Module 09

Classification

Classify data using logistic regression, SVM, etc.

Module 10

Bagging

Use ensemble techniques like Random Forest to reduce variance.

Module 11

Boosting

Improve weak learners with Gradient Boosting, XGBoost.

Module 12

Clustering

Group data using K-Means and DBSCAN.

Module 13

Intro to Deep Learning

Understand the basics of neural networks.

Module 14

Perceptron

Learn the simplest neural unit for binary classification.

Module 15

Forward Propagation

Understand how data flows through neural networks.

Module 16

ANN

Build multi-layer neural networks for complex tasks.

Module 17

Cost & Loss Functions

Evaluate model accuracy and optimize training.

Module 18

Activation Functions

Add non-linearity with ReLU, Sigmoid, etc.

Module 19

Optimizers

Train models using SGD, Adam, RMSprop, etc.

Module 20

CNN

Work with images using convolutional layers.

Module 21

RNN

Handle sequences with recurrent networks.

Module 22

LSTM

Use memory-based models for long-term dependencies.

Module 23

Excel for Data

Perform basic data tasks with Excel.

Module 24

Projects

Solve real-world problems with data science tools.

Module 25

Resume Building

Create a data science portfolio and CV.

Module 26

Mock Interviews

Practice assessments and interviews with feedback.

At OdissiTech Global Solutions, We're Committed To Businesses

Take the first step towards achieving your business goals by contacting us today. Schedule a consultation with one of our IT specialists to discuss your objectives and explore how our innovative solutions can propel.

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