Data Science course

Course Duration: 160h

In this course, you will learn essential skills in data science, machine learning, deep learning, and cloud computing. You'll gain hands-on experience with statistical analysis, regression, and classification models, as well as advanced techniques like neural networks (ANN, CNN, RNN), time series forecasting, and big data tools such as Hadoop and Spark. You'll also explore AI applications, including ChatGPT, and learn how to deploy machine learning models on cloud platforms like Azure. By the end, you’ll have the knowledge to analyze data, build models, and implement AI-driven solutions.

Course Curriculum

Data Science

Statistical Analysis
Hypothesis Testing
Linear & Logistic Regression
Measures of Central Tendency
Probability Distribution
Confidence Interval

Data Analysis & Visualization

Machine Learning

Unsupervised Learning

Time Series Analysis

Neural Networks & Deep Learning

Databases & SQL

Big Data Tools

Cloud Computing

AI & ChatGPT

Data Science course

What I will learn?

Course Curriculum

Data Science

Statistical Analysis

Hypothesis Testing

Linear & Logistic Regression

Measures of Central Tendency

Probability Distribution

Confidence Interval

Data Analysis & Visualization

Data Cleaning

Imputation Techniques

Scatter Diagrams

Correlation Analysis

Encoding Methods (OHE, Label Encoding)

Outlier Detection (Isolation Forest)

Machine Learning

Supervised Learning (Regression & Classification)

Decision Trees

KNN (K-Nearest Neighbors)

Support Vector Machines (SVM)

Feature Engineering

Model Validation (Cross-Validation, Accuracy Methods)

Unsupervised Learning

Clustering Techniques (K-Means, DBSCAN, Hierarchical)

Principal Component Analysis (PCA)

Association Rules

Recommender Systems

Dimensionality Reduction

Data Preprocessing for Unsupervised Models

Time Series Analysis

Level, Trend, and Seasonality

ARIMA Models

Exponential Smoothing

Forecasting Errors & Metrics

Naive Forecasts

ACF and PACF Plots

Neural Networks & Deep Learning

Artificial Neural Networks (ANN)

Convolutional Neural Networks (CNN)

Recurrent Neural Networks (RNN)

LSTM and BiDirectional LSTM

Dropout Regularization

Hyperparameter Tuning

Databases & SQL

Introduction to SQL & MySQL

Data Types in SQL

SQL Commands (DDL, DML, DQL)

Joins (Inner, Left, Right, Full Outer)

Stored Procedures & Triggers

Indexes and Views in SQL

Big Data Tools

Introduction to Hadoop

Spark & Data Bricks

MapReduce

Spark MLlib

Hadoop Components & Hands-On

Big Data Challenges and Solutions

Cloud Computing

Azure Cloud Platform

Cloud Services and Applications

Cloud Deployment Models (IaaS, PaaS, SaaS)

Azure ML & AI Services

Data Storage Solutions (Blob, SQL Database)

Cloud Security

AI & ChatGPT

Introduction to ChatGPT & AI

ChatGPT Architecture

Types of AI Models

ChatGPT Functionalities

Prompt Engineering for ChatGPT

Applications of ChatGPT in Business & Technology

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