Data Science Training Course Outline

Duration: 3 Months | Price: 400,000 Naira

Month 1: Introduction to Data Science

Week 1: Overview of Data Science
Week 2: Python Basics
Week 3: Introduction to Machine Learning
Week 4: Statistical Analysis

Month 2: Advanced Data Science Topics

Week 5: Deep Learning Fundamentals
Week 6: Natural Language Processing
Week 7: Big Data Analytics
Week 8: Data Visualization Techniques

Month 3: Practical Applications and Projects

Week 9: Working with Databases
Week 10: Advanced Machine Learning Algorithms
Week 11: Data Mining and Predictive Modeling
Week 12: Final Project Presentations

Course Module	Description	Duration (Hours)
Introduction to Data Science	Learn the fundamentals of data science and its applications .	40 hours
Python Programming	Master Python basics and advanced concepts.	60 hours
Machine Learning Fundamentals	Understand core machine learning algorithms and techniques.	50 hours
Statistical Analysis	Apply statistical methods to real-world data problems.	30 hours
Deep Learning	Explore deep learning architectures and neural networks.	70 hours
Natural Language Processing	Analyze and process human language using computational methods.	45 hours
Big Data Analytics	Work with large datasets using distributed computing systems .	55 hours
Data Visualization	Create interactive and informative visualizations.	35 hours
Working with Databases	Design and implement efficient database solutions.	40 hours
Advanced Machine Learning	Implement cutting-edge ML algorithms and techniques.	65 hours
Data Mining and Predictive Modeling	Discover patterns and make predictions from complex datasets .	60 hours
Final Project	Apply all learned skills to a comprehensive project.	Variable hours

Course Module

Description

Duration (Hours)

Introduction to Data Science

Learn the fundamentals of data science and its applications .

40 hours

Python Programming

Master Python basics and advanced concepts.

60 hours

Machine Learning Fundamentals

Understand core machine learning algorithms and techniques.

50 hours

Statistical Analysis

Apply statistical methods to real-world data problems.

30 hours

Deep Learning

Explore deep learning architectures and neural networks.

70 hours

Natural Language Processing

Analyze and process human language using computational methods.

45 hours

Big Data Analytics

Work with large datasets using distributed computing systems .

55 hours

Data Visualization

Create interactive and informative visualizations.

35 hours

Working with Databases

Design and implement efficient database solutions.

40 hours

Advanced Machine Learning

Implement cutting-edge ML algorithms and techniques.

65 hours

Data Mining and Predictive Modeling

Discover patterns and make predictions from complex datasets .

60 hours

Final Project

Apply all learned skills to a comprehensive project.

Variable hours

Data Science Training Course Outline Two with Software Focus

Duration: 3 Months | Price: 400,000 Naira

Month 1: Foundations and Basic Tools

Week 1: Introduction to Data Science and R Programming
Week 2: Python Basics and Pandas for Data Manipulation
Week 3: SQL Database Management and Querying
Week 4: Introduction to Machine Learning with scikit- learn

Month 2: Advanced Tools and Techniques

Week 5: Deep Learning with TensorFlow and Keras
Week 6: Natural Language Processing with NLTK and spaCy
Week 7: Big Data Analytics with Hadoop and Spark
Week 8: Data Visualization with Matplotlib and Seaborn

Month 3: Practical Applications and Projects

Week 9: Working with Databases (PostgreSQL and MongoDB)
Week 10: Advanced Machine Learning Algorithms with PyT orch
Week 11: Data Mining and Predictive Modeling with R and Python
Week 12: Final Project Presentations and Career Development

Course Module	Description	Duration (Hours)
R Programming Basics	Learn the fundamentals of R programming for statistical analysis.	30 hours
Python Pandas for Data Manipulation	Master data manipulation techniques using pandas library.	35 hours
SQL Database Management	Learn SQL basics and advanced querying techniques.	40 hours
scikit-learn Introduction	Understand core machine learning algorithms implemented in sc ikit-learn.	25 hours
TensorFlow and Keras Deep Learning	Explore deep learning architectures and neural networks using TensorFlow and Keras.	50 hours
NLTK and spaCy NLP	Analyze and process human language using NLTK and spaCy libraries.	30 hours
Hadoop and Spark Big Data Analytics	Work with large datasets using Hadoop and Spark frameworks.	45 hours
Matplotlib and Seaborn Data Visualization	Create interactive and informative visualizations using matplotlib and seaborn.	35 hours
PostgreSQL and MongoDB Database Systems	Design and implement efficient database solutions using PostgreSQL and MongoDB.	40 hours
PyTorch Advanced ML Algorithms	Implement cutting-edge machine learning algorithms using PyT orch.	40 hours
R and Python Predictive Modeling	Discover patterns and make predictions from complex datasets using both R and Python.	55 hours
Final Project and Career Development	Apply all learned skills to a comprehensive project and prepare for career opportunities.	Variable hours

Course Module

Description

Duration (Hours)

R Programming Basics

Learn the fundamentals of R programming for statistical analysis.

30 hours

Python Pandas for Data Manipulation

Master data manipulation techniques using pandas library.

35 hours

SQL Database Management

Learn SQL basics and advanced querying techniques.

40 hours