life tech nepal

Data Science Course

Introduction to Data Science

5 Topics

What is Data Science?
Role of a Data Scientist
Applications of Data Science
Data Science Workflow
Tools and Platforms

Python for Data Science

5 Topics

Python Basics: Variables, Loops, Functions
NumPy for Numerical Computations
Pandas for Data Manipulation
Data Cleaning & Preprocessing
File Handling (CSV, Excel, JSON)

Statistics & Probability

5 Topics

Descriptive Statistics
Probability Concepts
Probability Distributions (Normal, Binomial, Poisson)
Hypothesis Testing
Correlation & Covariance

Data Visualization

5 Topics

Matplotlib Basics
Seaborn for Advanced Visualizations
Plotly for Interactive Charts
Dashboard Basics
Data Storytelling

Exploratory Data Analysis (EDA)

4 Topics

Understanding Data Patterns
Outlier Detection & Handling
Missing Data Imputation
Feature Engineering

Machine Learning (ML) Basics

4 Topics

Supervised Learning: Regression & Classification
Unsupervised Learning: Clustering & Dimensionality Reduction
Model Evaluation Metrics
Train-Test Split & Cross Validation

Advanced Machine Learning

5 Topics

Decision Trees & Random Forests
Gradient Boosting (XGBoost, LightGBM)
Support Vector Machines (SVM)
K-Nearest Neighbors (KNN)
Hyperparameter Tuning

Deep Learning

5 Topics

Introduction to Neural Networks
TensorFlow & Keras Basics
Convolutional Neural Networks (CNN)
Recurrent Neural Networks (RNN) & LSTM
Deep Learning Projects

Natural Language Processing (NLP)

5 Topics

Text Preprocessing
Tokenization, Lemmatization, Stopwords
Bag of Words & TF-IDF
Sentiment Analysis & Text Classification
NLP Tools (NLTK, spaCy)

Big Data & Tools

4 Topics

Introduction to Big Data
Hadoop & Spark Basics
Working with Large Datasets
Data Storage & Management

Data Science Project & Portfolio

4 Topics

Real-world Datasets
End-to-End Projects
Model Deployment Basics
Portfolio Development