Specializing Course - Workshop Data Science with KNIME | AI & BIG DATA duration Weekend
KNIME Analytics is the most powerful and complete open source platform for drag-and-drop analysis, machine learning, statistics and ETL (Extract, Transform, Load). The latter is the data collection process that refers to the three steps (extraction, transformation, loading) used to organize and centralize data from multiple sources in a single repository. It is often used to create a data warehouse.
KNIME offers the possibility to create data processing flows independently and very quickly (Technology Agnostic). It also allows you to perform additional operations on remote data sources (both relational and non-relational) and with different formats (from csv, json to mysql and elastic). Finally, it supports the use of artificial intelligence and machine learning functions, both for ordinary work and for R&D.
Main Contents
MODULE 1 | Data Analytics with Knime (basic)
This module, which does not require programming skills, teaches how to develop data processing pipelines for analyzing and updating purposes in a relatively short time.
- Intro to Knime, Environment - Working with files. (Excel, CSV, Text) - Data Manipulation (Table, Row & Column level) - Join / Cross Join / Group by / Pivot / Unpivot - Variables - Python in Knime - Mini project 1
- Adv Data Manipulations (Strings, Date / time, Numbers, Type Casting) - NoSQL Data (JSON, XML) - Loops in Knime - Files / Directory Operations - Intro to JavaScript (Syntax, Functions, IF-ELSE, for loop, while loop ) - Column & Variable Expressions - project 1
MODULE 2 | Data Science with Knime (advanced)
This advanced module includes Artificial Intelligence and Machine Learning applications and methods.
- Time Processing - Relational Database OPS (read, write, update + Quick SQL Queries Review) - Error handling - Reusability with Meta-Nodes & Components - Advanced & AD-HOC Nodes - Mini project 2
- Text Processing - AI & ML in Knime - Bayes - Clustering - Rule Induction d. Neural Network - Decision Tree, Decision Tree Ensemble - Misc. Classifiers - Linear / polynomial Regression - Project 2
Request a one-on-one interview to learn more about each teaching unit.
Who is this course aimed at?
The workshop is aimed both at those who want to work in the field of Data Science, Data Engineering, Data Analysis and Business Analysis, and at those who work in the social media field and want to pursue a career as a Social Media Analyst. To attend the workshop no programming skills are required.
What will you gain from this course?
At the end of the workshop, participants will be able to easily perform noisy or dirty data cleansing, handle missing values, filter and integrate data with concatenation, and apply all kinds of data transformations such as discretization, normalization or pivot. The skills acquired will be applicable in any environment and functional area, both in SMEs and in large companies.
Diploma & Certifications
At the end of the course, you will receive a certificate of completion “GEEKS ACADEMY DIPLOMA”, a “DIPLOMA SUPPLEMENT” and the EXIN INTERNATIONAL CERTIFICATIONS included in your study plan – if you choose to sit the exam, which is not mandatory.
Career Coaching
For a period of 5 years after the conclusion of the course, you will have the chance to benefit from our Career Coaching service for free.
Over 95% of our graduates have found a job within 3 months since the end of the course!
International Experiences
To our students we offer the possibility to take part in exciting study trips in Dubai, Seoul, Milan, Rome and Singapore, where the hubs of our international network are located. These immersive experiences represent a great way to enrich students’ wealth of knowledge and increase their career opportunities.
Global Alumni Community
By joining this course, you will automatically become a member of the AGA: the Alumni Geeks Academy.
AGA is the community that gathers all our former students in order to offer them support, help them strengthen and develop professional relationships, provide them with networking opportunities and notify them about the latest job offers. The Alumni International Day represents the community’s most important international networking event, as well as a valuable opportunity to keep up-to-date with the latest trends and technologies.
Teaching Arrangements & Technical Equipment
Smart Education Formula
Course delivery mode: synchronous distance learning.
The lessons will take place on Saturday and Sunday (10:00-13:00 and 13:45-15:45 CET).
*The hours indicated are intended as academic hours of 50 minutes each.
E-learning Platform
Our flexible approach allows you to study wherever and whenever you want, even if you work and do not have much time.
All lessons are delivered OnlineLive by qualified teachers, and are recorded in real time to give you the opportunity to watch them asynchronously on our e-learning platform, in case you miss one lesson or you want to review some contents. Among other things, on the platform you will also find many useful materials for self-studying, such as self-assessment tests, exercises and exam simulations.
Minimum hardware & software requirements
Notebook: dual core 64-bit on x86-64 CPU | 8GB RAM | O.S. Linux / Mac Os X / Windows
Payment Method
Payment must be issued in one single solution before the beginning of the course.
The number of places available is limited
Please fill out the form to inquire about our services & promotions and to check the availability.