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DATA SCIENCE: Data Science with KNIME

Course DATA SCIENCE
Data Science with KNIME
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Course DATA SCIENCE
Data Science with KNIME

DATA SCIENCE

DATA SCIENCE

Course Data Science with KNIME

The KNIME Analytics platform has been called the "killer app" of machine learning. No programming skills are required.

CourseDATA SCIENCEDuration Online

This ETL / ELT course with Knime consists of two modules: basic and advanced. It is delivered in smart education and allows participants to enter the world of artificial intelligence and machine learning.


DATA SCIENCE: Data Science with KNIME

DATA SCIENCE

Duration: 32

Job Placement

English

Where the Course Data Science with KNIME will take place?

City

Promotions

Scholarships

Capacity

Online - October 2021

No promotion at the moment

2 Scholarships
available at the moment

10 places available
Course capacity: 12

Course Data Science with KNIME | DATA SCIENCE duration Online

The KNIME Analytics platform has been called the "killer app" of machine learning.
No programming skills are required. Both those who want to work in the field of Data Science, Data Engineering, Data Analysis and Business analysis, and those who already work in the social media field and wish to grow and pursue a career as a Social media analyst, can access this specialization module.

KNIME Analytics is the most powerful and complete free 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.

Ultimately, KNIME offers the possibility to create data processing flows independently and very quickly (Technology Agnostic). It also allows users to perform additional operations on remote data sources (both relational and non-relational) and with different types (from csv, json to mysql and elastic). Finally, it also implies the use of artificial intelligence and e Machine learning for both ordinary work and R&D.

This module, which does not require programming knowledge, implies the development of data processing pipelines for the analysis, updating and ad-hoc operations in a relatively short time.

After this course participants can easily do cleaning of noisy or dirty data and missing values. filtering, data integration with concatenation and joins. and do all kind of data transformations such as discretization, normalization, or pivoting.

Module 1
1. Intro to Knime, Environment 2. Working with files. (Excel, CSV, Text) 3. Data Manipulation (Table, Row & Column level) 4. Join / Cross Join / Group by / Pivot / Unpivot 5. Variables 6. Python in Knime 7. Mini project 1

Module 2
1. Adv Data Manipulations (Strings, Date / time, Numbers, Type Casting) 2. NoSQL Data (JSON, XML) 3. Loops in Knime 4. Files / Directory Operations 5. Intro to JavaScript (Syntax, Functions, IF-ELSE , for loop, while loop) 6. Column & Variable Expressions 7. project 1

This Advanced Module also includes Artificial Intelligence and Machine Learning applications and methods.

Module 3
1. Time Processing 2. Relational Database OPS (read, write, update + Quick SQL Queries Review) 3. Error handling 4. Reusability with Meta-Nodes & Components 5. Advanced & AD-HOC Nodes 6. Mini project 2

Module 4
1. Text Processing 2. AI & ML in Knime a. Bayes b. Clustering c. Rule Induction d. Neural Network e. Decision Tree, Decision Tree Ensemble f. Misc. Classifiers g. Linear / polynomial Regression 3. Project 2

No programming skills are required. Both those who want to work in the field of Data Science, Data Engineering, Data Analysis and business analysis, and those who work in the social media field and want to pursue a career as a Social media analyst can access this specialization module.

Personal notebook for practical exercises.
64-bit dual core CPU on x86-64
4gb RAM
Operating System: Linux / Mac Os X / Windows

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DATA SCIENCE

DATA SCIENCE


European Data Workers will grow from the current 6 millions to 13.4 millions by 2026; the worldwide value of the Big Data Analytics market will rise from $8.5 billion in 2017 to $40.6 billion in 2023. In 2019, the value of the Italian Big Data market was estimated at €1.4 billion, registering an increase of 26% if compared to the previous year.

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