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PYTHON DATA SCIENCE – ML – AI – & Power BI
Binario Learning Hub offers top-tier training in DATA SCIENCE, MACHINE LEARNING, ARTIFICIAL INTELLIGENCE, and TABLEAU with 100% Job Placement Assistance. Learn from industry experts and kickstart your IT career with confidence. Backed by Globify’s 10+ years of tech excellence, Binario provides real-world projects, internship opportunities, and expert mentorship to help you become job-ready.
Data Science Mastery Program
Core Concepts Covered
We start from scratch and take you all the way up—Python, Statistics, Exploratory Data Analysis, Data Wrangling, and more. You’ll understand the ‘why’ behind every model and the ‘how’ behind every tool.
Hands-On Projects
You’ll solve real business problems with real datasets. From predicting customer churn to creating recommendation engines—we don’t believe in just theory.
Machine Learning (ML) – From Basics to Deployment
Dive deep into supervised and unsupervised learning, model optimization, and even model deployment using Flask and cloud platforms like AWS and Azure. This isn’t just about building models—it’s about making them work in the real world.
Artificial Intelligence (AI) – Human Thinking in Code
AI is where machines mimic humans. We make it simple. Learn about Natural Language Processing (NLP), Computer Vision, Neural Networks, and Deep Learning in an easy-to-digest, project-driven format.
Tableau Training – Turn Data into Dashboards
Master the art of visualization. With Tableau, you’ll turn raw numbers into beautiful, interactive dashboards that actually tell stories. It’s Excel on steroids—and employers love it.
Course Content
Python & Advanced Python
Topics Covered:
Getting Started with PyCharm
Core Python Programming Fundamentals
Handling Input and Output
Working with Operators
Conditional Logic and Decision Making
Loops and Iterations
Control Flow Mechanisms
Creating and Using Functions
Organizing Code with Modules
String Handling and Manipulation
Data Structures: Lists, Tuples, Sets, and Dictionaries
File Handling and Operations
Object-Oriented Programming (OOP) Concepts
Pattern Matching with Regular Expressions
Functional Programming Concepts
Using
map(),reduce(), andfilter()Mastering Itertools for Advanced Iteration
Efficient Coding with List Comprehensions
SQL
Topics Covered:
Understand what SQL is and its use in managing relational databases
Install and configure a database system and set up your working environment.
SQL queries for data retrieval, filtering, CRUD and aggregation.
Joins and subqueries in SQL for merging datasets
Exploratory data analysis in SQL database
EDA & Data Visualization
Topics Covered:
Introduction to Python for Data Science
Data Visualization with Matplotlib and Seaborn
Exploratory Data Analysis – Identify and address missing values with Pandas effective methods
Supervised Learning
Topics Covered:
Simple & Multiple Linear Regression, Polynomial Regression, Model Evaluation
Classification Algorithms (K‑Nearest Neighbors (KNN), Naive Bayes, Decision Tree & Random Forest, XGBoost, Support Vector Machines)
Unsupervised Learning
Topics Covered:
Introduction to Clustering Algorithms
Hierarchical Clustering
- K-Means Clustering
- Elbow Method for Optimal K
Natural Language Processing & Model Deployment
Topics Covered:
Text Processing Essentials
Sentiment Analysis
- Tokenization & Stemming Introduction
- Pre-trained Language Models Overview
- Model Deployment Basics
- Capstone Project
Deep Learning & AI
Topics Covered:
Introduction to OpenCV with hands-on practice
OCR (Optical Character Recognition) with practical exercises
- Implement Artificial Neural Networks (ANN)
- Implement Convolutional Neural Networks (CNN)
YOLO (You Only Look Once) object detection implementation
Hands-on Speech Recognition
- Implement Recurrent Neural Networks (RNN) and LSTM
- Advanced deep learning and chatbot development
- End-to-end machine learning project
Gen AI
Topics Covered:
Large Language Models (LLMs)
Image Generation Techniques
- Stable Diffusion (text-to-image generation)
Google Gemini
Transfer Learning and Pre-trained Models
Landscape Modeling
AWS - Cloud
Topics Covered:
Introduction to AWS (Amazon Web Services) and its core components
Elastic Computing (EC2)
- Simple Storage Service (S3)
Business Analytics - PowerBI
Topics Covered:
Introduction to Data Visualization
Getting Started with Power BI
- Power Pivot: Data Modeling
- Power Query Editor: Data Cleaning & Transform
- DAX: Data Analysis Expressions in Action
- Report Building & Publishing
- Final Project & Presentation
- Program Structure
- Developed for freshers and novice professionals
- 100+ hours of expert-led video content
- Dedicated mentorship and program support
- Peer networking opportunities to connect and collaborate
- In-depth curriculum paired with practical, experiential learning
Dedicated Career Support
- Personalized interview prep session with experts
- Access to over 100+ new job listings each month
- Personalized career mentorship, including expert guidance
- Customized Resume and LinkedIn reviews
- Guaranteed placement support
For any inquiries, please reach out to us
Instructor
Featured Review
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Featured Review
Tenere explanetur estne roges vim instituto publicarum stare mala vacua consectetur consolando modicum nescio separantur sequimur sibi graeci flagitiosum compellans rhetoribus sapientium plato utebare more laus anulum vocant alium vocabulis puto tuus absurdum ferendum honestum partem dives habuit