DATA SCIENCE COURSE OVERVIEW 

The course is aimed at developing

Practical data analysis skills that can be applied to practical problems.
Fundamental knowledge of concepts underlying data science projects and processes.
Practical skills needed in modern-day data analytics.
Hands-on experience with real-world data analysis.
Applied experience with data science software, programming, applications and processes
 

PREREQUISITES

Good mathematical background and programming skills sufficient enough to learn new languages and software are required. Basic knowledge of statistics, linear algebra would be an added advantage.

 

SYSTEM REQUIREMENT

At least 4GB RAM, preferably Core i3 or higher, 100GB free HDD

 

COURSE OUTLINE
 

Week 1: Introduction to data science (Data science for beginners)

Data mining
Statistics
Machine learning
Information visualization
Network analysis
Natural language processing
Algorithms
Software engineering
Databases
Distributed systems
Big data
 

Week 2: Data collection and data blending

Sources of data
Data munging
Data preparation
Pruning
Data exploration
 

Week 3: Statistics, python, and R for data science

Statistical inference
Statistical modelling
Probability distribution
Model fitting
Setting up the programming environment
Understanding the tools and libraries
Functions
Conditionals
Loops and decisions
Hands-on exercises
 

Week 4: Data visualization

Techniques and processes
Reporting and presentation
Data manipulation
Information extrapolation
 

Week 5: Advanced data analytics techniques

Machine learning algorithms
Mining social-network graphs
Data science and Ethical issues
 

Week 6: Project presentation

Week 7: Career guidance

Week 8: Certificate of completion

 

OTHER BENEFITS

Job recommendation
Internship opportunity
Access to our support community
Opportunity to work for international companies 

For details visit https://tech365.ng/data-science-training-in-lagos-nigeria