You might find yourself in the situation of working from home, adapting your work to changed schedules and priorities, and redefining free time. It might lead to more time for personal development or playing around with data sets. For those people, The Analytics Academy is offering a free Data Science course. The course allows you to get an inspiring introduction in advanced data science techniques through some fast-paced masterclasses (based on our newest course material).
This course is specially designed for Data Science enthusiasts that want to get an inspirational introduction in advanced data science and analytics techniques in a fast-paced manner.
Your background should be quantitative, such as operations research, computer science, mathematics, data science or related.
All models and techniques are applied in Python: hands-on programming experience is required.
Please note we offer free introductory deep dives, so don’t expect to be a text mining, computer vision or forecasting guru after this course. Please also make time available for self-study and application of the introduced techniques.
The curriculum covers a selection of the regular curriculum of The Analytics Academy. In the first week we will offer a recap of some ‘classics’ like data preprocessing, exploring data and best practices for professional data science. In the weeks that follow we cover 1 advanced topic per week like optimization, advanced visualization, computer vision or text mining.
Topics (details in study guide):
Preparation (week 1)
1. Recap Week: Exploratory Data Analysis, Data Preprocessing and Best practices for professional data science.
Advanced Courses (week 2-6)
2. Time series forecasting using novel machine learning methods
3. Computer vision (make a neural network see and recognize images)
4. Advanced Visualizations (using Altair for interactive visuals to increase insights)
5. Text mining (extract useful insights from large amounts of text)
6. Optimization (applied on production planning)
This course is offered in a virtual environment. The learning methods include:
Self-study with curated online/digital content (articles, MOOCs etc.)
2-3h online lectures/masterclasses from The Analytics Academy trainers
Application of techniques with take home exercises (evaluated and discussed with experts or peers)
Online break-out sessions to stimulate Peer-2-Peer learning
Online (slack) community for questions, coaching and discussion etc.
Start date: TBD end of March/beginning of April (based on registrations)
Approximately 6 weeks:
- Self study: 1-2 days per week
- Contact hours: 2-4h per week
We expect to host the recap week from 20 to 24 April and start the introductory deep dives from April 27th onwards.
To offer something positive in challenging times, we are offering this course free of charge.
What we ask you in return is to apply the gained knowledge and skills in a positive way, to stay inside, support your neighbors, and consider a voluntary contribution to the Red Cross at: https://doneer.rodekruis.nl/coronavirus
The Analytics Academy is developing this curriculum on-the-fly. Therefore, some topics might be changed, added or dropped.
Teaching methods might be changed based on the number of registrants. Specifically, when registrations outgrow our capacity for a personal coaching and teaching approach, we will ask a helping hand from our community by peer-evaluating exercises and hands-on programming support.
We’re very much looking forward to this program. Let’s jointly put the time you have now into something positive!
The Analytics Academy Team