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Course Outline
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
Testimonials
Level of detail and willingness to answer questions
Nozithelo Ncube, Vodacom
All the examples used and the lecturing style was on point even for a begginer i was able to understand and the training was so patient and always willing to go extra mile when in need of assistance.
Mathipa Chepape - Nozithelo Ncube, Vodacom
All the examples used and the lecturing style was on point even for a begginer i was able to understand and the training was so patient and always willing to go extra mile when in need of assistance.
Mathipa Chepape - Nozithelo Ncube, Vodacom
Understanding big data beter
Shaune Dennis - Nozithelo Ncube, Vodacom
Intensity, Training materials and expertise, Clarity, Excellent communication with Alessandra
Marija Hornis Dmitrovic - Marija Hornis
The example and training material were sufficient and made it easy to understand what you are doing
Teboho Makenete
It is great to have the course custom made to the key areas that I have highlighted in the pre-course questionnaire. This really helps to address the questions that I have with the subject matter and to align with my learning goals.
Winnie Chan - Statistics Canada
Trainer was accommodative. And actually quite encouraging for me to take up the course.
Grace Goh - DBS Bank Ltd
The discussions to broaden our horizons
FAB banak Egypt
The course is very interesting being the main focus nowdays
mohamed taher - FAB banak Egypt
Ahmed was very interactive and didn’t mind answering any kind of questions Well presentation and smooth flow of the course
Mohamed Ghowaiba - FAB banak Egypt
Helpful and good listener .. interactive
Ahmed El Kholy - FAB banak Egypt
Subject presentation knowledge timing
Aly Saleh - FAB banak Egypt
Learning new language.
FAB banak Egypt
o conteúdo em si que foi ensinado.
Edivaldo Gonçalves Cordeiro, Imdepa Rolamentos
Do aprendizado, conseguir colocar em prática os exercícios propostos.
Samanta - Edivaldo Gonçalves Cordeiro, Imdepa Rolamentos
Younes is a great trainer. Always willing to assist, and very patient. I will give him 5 stars. Also, the QLIK sense training was excellent, due to an excellent trainer.
Dietmar Glanninger - BMW
Jorge was amazing- he is super knowledgeable and has a lot of Information to share.
Nadia Naidoo, Jembi Health Systems NPC
very interactive...
Richard Langford - Nadia Naidoo, Jembi Health Systems NPC
Going through the notebooks, becoming more familiar with Qiskit and the various ways to do things.
Bank of Canada
His deep knowledge about the subject
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