Data Science Fundamentals Training.
This live, guided training, offered both online and in-person, is tailored for individuals aspiring to embark on a career path in Data Science.
Upon completion of this program, participants will have the proficiency to:
- Set up and fine-tune Python and MySQL environments.
- Comprehend the scope of Data Science and its capacity to enhance business operations across industries.
- Acquire essential Python programming skills.
- Master both supervised and unsupervised learning algorithms in Machine Learning and apply them to interpret data findings.
Course Dynamics:
- Interactive sessions combined with thoughtful discourse.
- Extensive hands-on practice.
- Direct application of concepts in a controlled lab setting.
Personalization of the Course:
- For a training experience adapted to your specific requirements, please get in touch to discuss customization options.
Course Outlines
Day 1
- Data Science: an overview
- Practical part: Let’s get started with Python – Basic features of the language
- The data science life cycle – part 1
- Practical part: Working with structured data – the Pandas library
Day 2
- The data science life cycle – part 2
- Practical part: dealing with real data
- Data visualisation
- Practical part: the Matplotlib library
Day 3
- SQL – part 1
- Practical part: Creating a MySql database with tables, inserting data and performing simple queries
- SQL part 2
- Practical part: Integrating MySql and Python
Day 4
- Supervised learning part 1
- Practical part: regression
- Supervised learning part 2
- Practical part: classification
Day 5
- Supervised learning part 3
- Practical part: building a spam filter
- Unsupervised learning
- Practical part: Clustering images with k-means
Requirements
- An understanding of mathematics and statistics.
- Some programming experience, preferably in Python.
Audience
- Professionals interested in making a career change
- People curious about Data Science and Data Analytics