Bonus Courses
This track has complementary courses, such as Email Writing, Attention to Detail, Design Thinking and How to Apply for Digital Jobs.
Career Path
Data-driven decision-making is the ultimate competitive advantage for businesses and governments worldwide. Data Science provides lucrative career opportunities that will continue to expand.
Industry analysis shows a 650% Data Science job growth since 2012, with an estimated 11.5 million new jobs projected by 2026. This course aims to provide students with the latest job-ready tools and skills, including open source tools and libraries. Learn data science through lectures and hands-on practice using real data science tools and real-world data sets.
1
This session will introduce participants to Data Science. Some use cases, and an overview of its landscape (Open source software, infrastructure, databases, tools...) will be presented.
2
A solid background on probability and statistics is essentially in analyzing and generating insights from data.
3
Overview of techniques in data analysis such as regression, and clssification will be presented. Knowing when to use an approach is essential for a data scientist.
4
Accessing data reliably, and preparing it for use is very common in data science. This session will include Getting Data, Connecting R to database management systems, Profiling, Data Wrangling, Visualization.
5
It is common to encounter time series datasets in real world problems. This session will provide an introduction to analyzing such datasets.
6
The Lectures on Statistical (or Machine) Learning will include: Decision Trees (Classification and Regression Tree, Random Forest, ....) , Recommender Systems, Boosting, Reinforcement Learning, Anomaly Detection, Natural Language Processing (Topic Modelling, Sentiment Analysis, Word Embedding,...), Neural Network, Convolutional Neural Network, Recurrent Neural Network,
7
How results are communicated is a must-have skill for data science practitioners.
8
This session will provide a space for students to present their data science project assignment.
Zero upfront tuition fee. You pay when you land a job or it's free for life.
6 Weeks
This track has complementary courses, such as Email Writing, Attention to Detail, Design Thinking and How to Apply for Digital Jobs.
Work on real-world projects with interactive lessons, get step-by-step guidance, performance reports, and peer support to chart a course for your career.
Coaching is the oldest learning method where thought leaders quickly pass on their best practices and hacks to the Next-Gen.
We're bringing together the best of edtech, academia, and employment to help you prove your job readiness to prospective employers or turn your passion into a fulfilling career.
10+ years of Data Science experience.
ReadyforWork is an immersive career accelerator that uses Artificial Intelligence and Machine Learning to help entry-level job seekers upskill and future-proof their careers with in-demand digital skills or launch their startups, and gives businesses access to diverse, less-expensive emerging talent pipelines.