Data Science & Data Engineering Program
As indicated by the Forbes (The 10 Best Jobs To Apply For In 2017) data scientist profession is considered the best one to apply and data engineer is the third one!
Additionally as highlighted by McKinsey Global Institute in their recent study (December 2016) “The age of Analytics: Competing in a data-driven world”, there is tremendous shortage and urgent need for competent and qualified data scientists. More specifically the study estimates that by 2018 there will be two to four million new jobs requiring data and analytics related skills, awareness and specialization only in the USA.
Why to learn:
Data engineering, data science and business intelligence aspects will be covered in details!
This course is designed for both beginners with some programming experience as well as talented fresh graduates and junior ex-professionals with firm tech and math skills looking to make the jump to data-centric fields!
The top programming languages from a career perspective as examined and indicated by several sources include SQL and Python among the first three programing languages. The main structure of this program is built on the hands-on experience that the participants will acquire by using SQL for databases and data engineering, as well as Python for data science purposes and scope.
- This specific Code.Learn program lasts 5 weeks (5 Wednesdays & 5 Saturdays) with almost 60 hours of lectures and hands-on exercise on real case studies and projects.
Key Objectives – Curriculum (High level)
The core perspectives of this program will be to present, explore and adequately cover with extended real-life business case studies & industry scenarios the following aspects:
- SQL & Python
- Data & Data Management Systems
- Relational & NoSQL Data Stores
- Data Warehouses
- Data Integration
- Data Analysis
- Data Visualization
- Data Mining
- Business Analytics ( Descriptive, Predictive, Presciptive)
- Dashboards & Visual Analytics
- Big Data Systems
Education & Experience
Underground Degree and maximum two years of working experience in the fields of:
- computer science/ IT
- finance & economics
- management & business administration
The exact ratio of participants at this Code.Learn program is defined to be a 70 to 30% ratio between IT and non-IT related backgrounds in order to be able, apart from the rest of the learning outcomes, to formulate working teams with diverse backgrounds that will work on real life scenarios and contribute according to their academic exposure.