An Introduction to “Python for Data Science”
- Online Python for Data Science Training Course.
- No previous knowledge required; basic programming helpful.
- Covers Data Science, Python basics, IDA, EDA.
- Explores Python libraries: NumPy, Pandas, Matplotlib, Seaborn.
- Taught by Dr Jad Abbass, experienced in Data Science.
Overview
This two-day Online Python for Data Science Training Course introduces Data Science and related careers, covering Python basics, Initial Data Analysis, and Exploratory Data Analysis using main Python libraries. Attendees need no prior Data Science knowledge but should have basic IT, Mathematics, and Statistics skills. The course is led by Dr. Jad Abbass, a Data Science Lecturer at Kingston University with over 15 years of teaching experience. The course includes real and large datasets, and participants receive lecture notes in advance with access to Python programs post-course.
Who should attend
Data Analysts
Course Content
COURSE MATERIAL
The lecture notes will be sent in advance and Python Programmes will be made all available after the course.
ABOUT THE COURSE
This two-day course requires no previous knowledge of Data Science; however, some familiarity with programming would be helpful. It will first introduce “Data Science” as a subject and the corresponding careers in the current and future market. The second step will a be short Python bootcamp to cover the basic functions and those that are related mainly to Data Science. The heart of the course will then start to cover Initial Data Analysis (IDA) and Exploratory Data Analysis (EDA), e.g., data analytics and Visualisation. To achieve this, main Python libraries for Data Science will be explored such as NumPy, Pandas, Matplotlib and Seaborn. All topics will encompass real and large datasets.
PROGRAMME AND TIMINGS – 9am- 4.30pm BST(GMT+1)
Day 1:
•Intro to Data Science
•Short Python Bootcamp
•Introduction to Pandas library
•Case Studies
Day 2:
•Initial Data Analysis – Missing Values, Duplicates, Outliers…
•Exploratory Data Analysis (EDA) – Data Analysis and Visualisation
•Introduction to Matplotlib and Seaborn libraries
•Case Studies
Who Should Attend
Attendees are assumed to have no previous knowledge in Data Science/Computer Science, however, basic skills in I.T. systems, Mathematics and Statistics are expected. Familiarity in programming is recommended.
The Tutor:
Dr Jad Abbass is a Lecturer in Data Science in the Department of Computer Science at Kingston University where his teaching duties are mainly dedicated to the MSc in Data Science programme. He has more than 15 years of experience of teaching computer science courses/modules. His research projects lie in the field of applying A.I. (Machine Learning/Deep Learning) in different real-life applications, in particular, in Computational Biology.
Duraton:2 Days
Cost: £495 + Vat
