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Data Science Training

AWS

This Advanced Analytics for Structured Data using AWS 2 day course provides a technical introduction to the understanding, creation and digital data supply chains for advanced analytics with AWS.

 

In the Private Training
Code: GTBD10 Duration: 2 Day

Big Data

Public Courses coming soon to Stockholm, Copenhagen and Oslo - Register Your Interest here

This Data Science with Python training course provides theoretical and practical aspects of using Python in the realm of Data Science, Business Analytics, and Data Logistics. The coverage of the related core concepts, terminology, and theory is provided as well. This intensive training course is supplemented by a variety of hands-on labs (the list of which is provided at the bottom of this outline) that help attendees reinforce their theoretical knowledge of the learned material.

In the Private Training Virtual Training 
Code: GTBDP1 Duration: 2 Day

The ability to identify and respond to changing trends is a hallmark of a successful business. Whether those trends are related to customers and sales, or to regulatory and industry standards, businesses are wise to keep track of the variables that can affect the bottom line. In today's business landscape, data comes from numerous sources and in diverse forms. By leveraging data science concepts and technologies, businesses can mold all of that raw data into information that facilitates decisions to improveand expand the success of the business.

This Data Science for Business Professionals training course is also designed to assist learners in preparing for the CertNexus® DSBIZ™ (Exam DSZ-110) credential.

In the Private Training Virtual Training 
Code: GTDSBIZ Duration: 1/2 Day Accreditation: Data Science for Business Professionals DSBIZ Credential

Starting with the basics, Applied Unsupervised Learning with R explains clustering methods, distribution analysis, data encoders, and features of R that enable you to understand your data better and get answers to your most pressing business questions. 

This course begins with the most important and commonly used method for unsupervised learning - clustering - and explains the three main clustering algorithms - k-means, divisive, and agglomerative. Following this, you’ll study market basket analysis, kernel density estimation, principal component analysis, and anomaly detection. By working through interesting activities, you’ll explore data encoders and latent variable models.

In the Private Training
Code: GTDULR Duration: 2 Days

Technology and the data that it both collects and makes accessible is now interwoven with businesses and lives. The era of "big data" has exploded due to the rise of cloud computing, which provides an abundance of computational power and storage, allowing organizations of all sorts to capture and store data. Leveraging that data effectively can provide timely insights and competitive advantage.Analyzing data to find issues, insights and opportunities, is now a critical part of many job roles. Beyond the analysis, data analysts in all job roles must be able to effectively present and communicate their findings in visually compelling ways.

In the Private Training Virtual Training 
Code: GTDAVM Duration: 2 Days

Over the past few years, R has been steadily gaining popularity with business analysts, statisticians and data scientists as a tool of choice for conducting statistical analysis of data as well as supervised and unsupervised machine learning.
This intensive R Programming Introduction training course helps students learn the practical aspects of the R programming language. The course is supplemented by many hands-on labs which allow attendees to immediately apply their theoretical knowledge in practice.

In the Private Training
Code: GTR1 Duration: 2 Days

This Advanced Analytics for Structured Data using AWS 2 day course provides a technical introduction to the understanding, creation and digital data supply chains for advanced analytics with AWS.

 

In the Private Training
Code: GTBD10 Duration: 2 Day

Data Science for Marketing Analytics training course covers every stage of data analytics, from working with a raw dataset to segmenting a population and modeling different parts of the population based on the segments.The course starts by teaching you how to use Python libraries, such as pandas and Matplotlib, to read data from Python, manipulate it, and create plots, using both categorical and continuous variables. Then, you’ll learn how to segment a population into groups and use different clustering techniques to evaluate customer segmentation.

In the Private Training
Code: GTDSMA Duration: 3 Days

This Applied Data Science and Big Data Analytics intensive training course provides theoretical and technical aspects of Data Science and Business Analytics.  The course covers the fundamental and advanced concepts and methods of deriving business insights from big” and/or “small” data.  This training course is supplemented by hands-on labs that help attendees reinforce their theoretical knowledge of the learned material.

In the Private Training
Code: GTBD7 Duration: 4 Days

Cyber Security

The ability to identify and respond to changing trends is a hallmark of a successful business. Whether those trends are related to customers and sales, or to regulatory and industry standards, businesses are wise to keep track of the variables that can affect the bottom line. In today's business landscape, data comes from numerous sources and in diverse forms. By leveraging data science concepts and technologies, businesses can mold all of that raw data into information that facilitates decisions to improveand expand the success of the business.

This Data Science for Business Professionals training course is also designed to assist learners in preparing for the CertNexus® DSBIZ™ (Exam DSZ-110) credential.

In the Private Training Virtual Training 
Code: GTDSBIZ Duration: 1/2 Day Accreditation: Data Science for Business Professionals DSBIZ Credential

Data Science

Over the past few years, R has been steadily gaining popularity with business analysts, statisticians and data scientists as a tool of choice for conducting statistical analysis of data as well as supervised and unsupervised machine learning.
This intensive R Programming Introduction training course helps students learn the practical aspects of the R programming language. The course is supplemented by many hands-on labs which allow attendees to immediately apply their theoretical knowledge in practice.

In the Private Training
Code: GTR1 Duration: 2 Days

The ability to identify and respond to changing trends is a hallmark of a successful business. Whether those trends are related to customers and sales, or to regulatory and industry standards, businesses are wise to keep track of the variables that can affect the bottom line. In today's business landscape, data comes from numerous sources and in diverse forms. By leveraging data science concepts and technologies, businesses can mold all of that raw data into information that facilitates decisions to improveand expand the success of the business.

This Data Science for Business Professionals training course is also designed to assist learners in preparing for the CertNexus® DSBIZ™ (Exam DSZ-110) credential.

In the Private Training Virtual Training 
Code: GTDSBIZ Duration: 1/2 Day Accreditation: Data Science for Business Professionals DSBIZ Credential

This Applied Data Science and Big Data Analytics intensive training course provides theoretical and technical aspects of Data Science and Business Analytics.  The course covers the fundamental and advanced concepts and methods of deriving business insights from big” and/or “small” data.  This training course is supplemented by hands-on labs that help attendees reinforce their theoretical knowledge of the learned material.

In the Private Training
Code: GTBD7 Duration: 4 Days

This Data Science for Solution Architects training course helps Solution Architects and other IT practitioners understand the value proposition, methodology and techniques of the emerging discipline of Data Science.  The class also introduces the students to a number of existing production-ready technologies and capabilities that enable enterprises to build cost-efficient Big Data processing solutions.

In the Private Training
Code: GTBD8 Duration: 4 Days

This Advanced Analytics for Structured Data using AWS 2 day course provides a technical introduction to the understanding, creation and digital data supply chains for advanced analytics with AWS.

 

In the Private Training
Code: GTBD10 Duration: 2 Day

Python has emerged as a popular and effective language in the world of data science. The dynamic nature of the language, the relative simplicity of the syntax, and the abundance of fast and powerful libraries have all been important contributory factors in this growth.

This Python Data Science training course takes a detailed look at the most popular Python libraries for numeric processing, statistical analysis, machine learning, and visualization. We also show how to make use of common Python data types and algorithms to achieve real-world tasks.

In the Private Training Virtual Training 
Code: GTIT51 Duration: 3 Days

Data Science Projects with Python training course is designed to give you practical guidance on industry-standard data analysis and machine learning tools in Python, with the help of realistic data. The course will help you understand how you can use pandas and Matplotlib to critically examine a dataset with summary statistics and graphs, and extract the insights you seek to derive. You will continue to build on your knowledge as you learn how to prepare data and feed it to machine learning algorithms, such as regularized logistic regression and random forest, using the scikit-learn package. You’ll discover how to tune the algorithms to provide the best predictions on new and, unseen data.

In the Private Training
Code: GTDSPP Duration: 2 Days

Technology and the data that it both collects and makes accessible is now interwoven with businesses and lives. The era of "big data" has exploded due to the rise of cloud computing, which provides an abundance of computational power and storage, allowing organizations of all sorts to capture and store data. Leveraging that data effectively can provide timely insights and competitive advantage.Analyzing data to find issues, insights and opportunities, is now a critical part of many job roles. Beyond the analysis, data analysts in all job roles must be able to effectively present and communicate their findings in visually compelling ways.

In the Private Training Virtual Training 
Code: GTDAVM Duration: 2 Days

Starting with the basics, Applied Unsupervised Learning with R explains clustering methods, distribution analysis, data encoders, and features of R that enable you to understand your data better and get answers to your most pressing business questions. 

This course begins with the most important and commonly used method for unsupervised learning - clustering - and explains the three main clustering algorithms - k-means, divisive, and agglomerative. Following this, you’ll study market basket analysis, kernel density estimation, principal component analysis, and anomaly detection. By working through interesting activities, you’ll explore data encoders and latent variable models.

In the Private Training
Code: GTDULR Duration: 2 Days

Data Science for Marketing Analytics training course covers every stage of data analytics, from working with a raw dataset to segmenting a population and modeling different parts of the population based on the segments.The course starts by teaching you how to use Python libraries, such as pandas and Matplotlib, to read data from Python, manipulate it, and create plots, using both categorical and continuous variables. Then, you’ll learn how to segment a population into groups and use different clustering techniques to evaluate customer segmentation.

In the Private Training
Code: GTDSMA Duration: 3 Days

Public Courses coming soon to Stockholm, Copenhagen and Oslo - Register Your Interest here

This Data Science with Python training course provides theoretical and practical aspects of using Python in the realm of Data Science, Business Analytics, and Data Logistics. The coverage of the related core concepts, terminology, and theory is provided as well. This intensive training course is supplemented by a variety of hands-on labs (the list of which is provided at the bottom of this outline) that help attendees reinforce their theoretical knowledge of the learned material.

In the Private Training Virtual Training 
Code: GTBDP1 Duration: 2 Day

New

Python has emerged as a popular and effective language in the world of data science. The dynamic nature of the language, the relative simplicity of the syntax, and the abundance of fast and powerful libraries have all been important contributory factors in this growth.

This Python Data Science training course takes a detailed look at the most popular Python libraries for numeric processing, statistical analysis, machine learning, and visualization. We also show how to make use of common Python data types and algorithms to achieve real-world tasks.

In the Private Training Virtual Training 
Code: GTIT51 Duration: 3 Days

Starting with the basics, Applied Unsupervised Learning with R explains clustering methods, distribution analysis, data encoders, and features of R that enable you to understand your data better and get answers to your most pressing business questions. 

This course begins with the most important and commonly used method for unsupervised learning - clustering - and explains the three main clustering algorithms - k-means, divisive, and agglomerative. Following this, you’ll study market basket analysis, kernel density estimation, principal component analysis, and anomaly detection. By working through interesting activities, you’ll explore data encoders and latent variable models.

In the Private Training
Code: GTDULR Duration: 2 Days

Data Science Projects with Python training course is designed to give you practical guidance on industry-standard data analysis and machine learning tools in Python, with the help of realistic data. The course will help you understand how you can use pandas and Matplotlib to critically examine a dataset with summary statistics and graphs, and extract the insights you seek to derive. You will continue to build on your knowledge as you learn how to prepare data and feed it to machine learning algorithms, such as regularized logistic regression and random forest, using the scikit-learn package. You’ll discover how to tune the algorithms to provide the best predictions on new and, unseen data.

In the Private Training
Code: GTDSPP Duration: 2 Days

Public Courses coming soon to Stockholm, Copenhagen and Oslo - Register Your Interest here

This Data Science with Python training course provides theoretical and practical aspects of using Python in the realm of Data Science, Business Analytics, and Data Logistics. The coverage of the related core concepts, terminology, and theory is provided as well. This intensive training course is supplemented by a variety of hands-on labs (the list of which is provided at the bottom of this outline) that help attendees reinforce their theoretical knowledge of the learned material.

In the Private Training Virtual Training 
Code: GTBDP1 Duration: 2 Day

The ability to identify and respond to changing trends is a hallmark of a successful business. Whether those trends are related to customers and sales, or to regulatory and industry standards, businesses are wise to keep track of the variables that can affect the bottom line. In today's business landscape, data comes from numerous sources and in diverse forms. By leveraging data science concepts and technologies, businesses can mold all of that raw data into information that facilitates decisions to improveand expand the success of the business.

This Data Science for Business Professionals training course is also designed to assist learners in preparing for the CertNexus® DSBIZ™ (Exam DSZ-110) credential.

In the Private Training Virtual Training 
Code: GTDSBIZ Duration: 1/2 Day Accreditation: Data Science for Business Professionals DSBIZ Credential

This Advanced Analytics for Structured Data using AWS 2 day course provides a technical introduction to the understanding, creation and digital data supply chains for advanced analytics with AWS.

 

In the Private Training
Code: GTBD10 Duration: 2 Day

Technology and the data that it both collects and makes accessible is now interwoven with businesses and lives. The era of "big data" has exploded due to the rise of cloud computing, which provides an abundance of computational power and storage, allowing organizations of all sorts to capture and store data. Leveraging that data effectively can provide timely insights and competitive advantage.Analyzing data to find issues, insights and opportunities, is now a critical part of many job roles. Beyond the analysis, data analysts in all job roles must be able to effectively present and communicate their findings in visually compelling ways.

In the Private Training Virtual Training 
Code: GTDAVM Duration: 2 Days

Data Science for Marketing Analytics training course covers every stage of data analytics, from working with a raw dataset to segmenting a population and modeling different parts of the population based on the segments.The course starts by teaching you how to use Python libraries, such as pandas and Matplotlib, to read data from Python, manipulate it, and create plots, using both categorical and continuous variables. Then, you’ll learn how to segment a population into groups and use different clustering techniques to evaluate customer segmentation.

In the Private Training
Code: GTDSMA Duration: 3 Days

Python

Public Courses coming soon to Stockholm, Copenhagen and Oslo - Register Your Interest here

This Data Science with Python training course provides theoretical and practical aspects of using Python in the realm of Data Science, Business Analytics, and Data Logistics. The coverage of the related core concepts, terminology, and theory is provided as well. This intensive training course is supplemented by a variety of hands-on labs (the list of which is provided at the bottom of this outline) that help attendees reinforce their theoretical knowledge of the learned material.

In the Private Training Virtual Training 
Code: GTBDP1 Duration: 2 Day

Data Science Projects with Python training course is designed to give you practical guidance on industry-standard data analysis and machine learning tools in Python, with the help of realistic data. The course will help you understand how you can use pandas and Matplotlib to critically examine a dataset with summary statistics and graphs, and extract the insights you seek to derive. You will continue to build on your knowledge as you learn how to prepare data and feed it to machine learning algorithms, such as regularized logistic regression and random forest, using the scikit-learn package. You’ll discover how to tune the algorithms to provide the best predictions on new and, unseen data.

In the Private Training
Code: GTDSPP Duration: 2 Days

Data Science Projects with Python training course is designed to give you practical guidance on industry-standard data analysis and machine learning tools in Python, with the help of realistic data. The course will help you understand how you can use pandas and Matplotlib to critically examine a dataset with summary statistics and graphs, and extract the insights you seek to derive. You will continue to build on your knowledge as you learn how to prepare data and feed it to machine learning algorithms, such as regularized logistic regression and random forest, using the scikit-learn package. You’ll discover how to tune the algorithms to provide the best predictions on new and, unseen data.

In the Private Training
Code: GTDSPP Duration: 2 Days

Python has emerged as a popular and effective language in the world of data science. The dynamic nature of the language, the relative simplicity of the syntax, and the abundance of fast and powerful libraries have all been important contributory factors in this growth.

This Python Data Science training course takes a detailed look at the most popular Python libraries for numeric processing, statistical analysis, machine learning, and visualization. We also show how to make use of common Python data types and algorithms to achieve real-world tasks.

In the Private Training Virtual Training 
Code: GTIT51 Duration: 3 Days

Python has emerged as a popular and effective language in the world of data science. The dynamic nature of the language, the relative simplicity of the syntax, and the abundance of fast and powerful libraries have all been important contributory factors in this growth.

This Python Data Science training course takes a detailed look at the most popular Python libraries for numeric processing, statistical analysis, machine learning, and visualization. We also show how to make use of common Python data types and algorithms to achieve real-world tasks.

In the Private Training Virtual Training 
Code: GTIT51 Duration: 3 Days

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Private Team Training

Our instructors are specialist consultants with vast real world experience and expertise allowing them to design and deliver client-focused courses for your organisation.

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What Our Clients Say

“Given the breadth of the course, I think it was very well structured and organised, I got a lot
out of it.”     

 

JVM Tuning - Bespoke Course

Live Online - May 2020

 

“This was an excellent course and was lots of fun to attend. Instructor started with basic intro to
containerization, then explained Kubernetes and the different components (Container
engine, orchestrator, control plane) which all made sense because of the containerization
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Kubernetes for App Developers - GTLFKAD

Live Online - Nov 2020

 

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Professional Cloud Service Manager - GTC13

Live Online May 2020

 

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Being Agile in Business - GTBAB

Sept 2019

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consider a dry subject. This was simply great!”  

 

Linux LPIC-1 - GTU8

Live Online - August 2020

 

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getting the work done"

Linus Torvalds, creator of Linux and GIT

Technical ICT learning & mentoring services

About GuruTeam

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Upcoming Courses

Kubernetes Administration

26 July - 29 July 2021

14 Sept - 17 Sept 2021

 5 Oct - 8 Oct 2021

Live Online

This Kubernetes Administration Certification training course is suitable for anyone who wants to learn the skills necessary to build and administer a Kubernetes cluster

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LPIC-1 PART 1

26 - 29  October 2021 

Live Online

This Linux certification training course teaches in-depth skills in the basics of Linux Administration.
 

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PROFESSIONAL CLOUD SERVICE MANAGER

20 - 21 July 2021

17 - 18 August 2021

Live Online

The Cloud Service Manager course enables participants to design and deliver cloud services. Exam prep on day 3.

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 INTRO TO PYTHON 3

July 20 – 22 2021

Aug 10 - 12  2021

Live Online        

A comprehensive introduction to the core syntax and functions provided by Python, including coverage of its object-oriented and functional programming features.

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