Advanced Analytics: Leveraging Data Science and Machine Learning Techniques to Gain Data Insights Training in Norway

  • Learn via: Classroom / Virtual Classroom / Online
  • Duration: 1 Day
  • Price: Please contact for booking options
We can host this training at your preferred location. Contact us!

Analytics encompasses many skills and disciplines. Identifying the problem, choosing the modeling approach, selecting the correct features to model, and evaluating the result are at the heart of analytics. The tendency, however, is to focus primarily on the technology rather than the process.

Join us for a problem-focused, applied experience where you learn to apply the analytics process to produce meaningful and valuable insights.

Business analysts, data analysts, and data scientists who need to frame analytic problems and choose the most effective ways to solve those problems; business and technical managers who need to understand the nature of analytics and data science work; BI and analytics developers who work with data scientists; anyone who aspires to become a data analyst, business analyst, or data scientist.

  • To understand and classify different types of data science problems
  • How to discern the characteristics of common data science scenarios
  • Ways to outline which analytical problems are suited to which analytic models
  • To match data science problems to the best-fit models to solve them
  • Examples that walk through how to apply different aspects of the analytics process

Module 1

What is Machine Learning?

• Why Machine Learning?

• Machine Learning

• Statistics in Machine Learning

• Supervised and Unsupervised Learning

Module 2

The Machine Learning Process

• Machine Learning Framework

• Machine Learning Approaches

• Machine Learning Techniques

• Machine Learning Algorithms

• Machine Learning Process

• CRISP-DM

Module 3

Exploratory Data Analysis

• Exploratory Data Analysis (EDA)

• Sampling

• Data Profiling

• Descriptive Statistics

• Data Relationships

• Outliers and Anomalies

• Important Variables

• Output and Interpretation

• Feature Selection Methods

Module 4

Models and Algorithms

• The Anatomy of a Model

• Classification

o Decision Trees

o Nearest Neighbor

o Probability – Bayes Classification

o Neural Networks

• Statistical Methods

• Clustering

• Association

• Anomaly Detection

• Application of Machine Learning Models

Module 5

Model Validation Techniques

• The Validation Process

• Fitting a Model

• Bias/Variance Tradeoff

• Validation Techniques

o Confidence and Prediction Intervals

o Statistical Significance

o Classification Accuracy

o Prediction Error Methods

o Hold-out

o Cross Validation



Contact us for more detail about our trainings and for all other enquiries!

Upcoming Trainings

Join our public courses in our Norway facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

Classroom / Virtual Classroom
12 januar 2025
Oslo, Bergen, Trondheim
1 Day
Classroom / Virtual Classroom
17 januar 2025
Oslo, Bergen, Trondheim
1 Day
Classroom / Virtual Classroom
21 januar 2025
Oslo, Bergen, Trondheim
1 Day
Classroom / Virtual Classroom
12 januar 2025
Oslo, Bergen, Trondheim
1 Day
Classroom / Virtual Classroom
17 januar 2025
Oslo, Bergen, Trondheim
1 Day
Classroom / Virtual Classroom
21 januar 2025
Oslo, Bergen, Trondheim
1 Day
Classroom / Virtual Classroom
10 mars 2025
Oslo, Bergen, Trondheim
1 Day
Classroom / Virtual Classroom
19 mars 2025
Oslo, Bergen, Trondheim
1 Day
Advanced Analytics: Leveraging Data Science and Machine Learning Techniques to Gain Data Insights Training Course in Norway

The Nordic country Norway, is in Northern Europe. Known for its stunning natural beauty, including fjords, mountains, and forests, Norway is also famous for its high standard of living and strong social welfare system. Norway's capital and largest city is Oslo. Tromsø, Bergen, Trondheim and Stavanger are the other tourist attracting cities of Norway.

Norway is a constitutional monarchy with King Harald V as the head of state. The country has a population of 5,425,270 as of January 2022. Norway is a relatively small country and has a relatively low population density, with much of its land area covered by forests, mountains, and fjords. Despite its small size, Norway is known for its rich cultural heritage, strong economy, and stunning natural beauty, which attracts millions of visitors every year. This Nordic country is also known for its winter sports, such as skiing and snowboarding, and is a popular destination for outdoor enthusiasts.

Norway has a long history of invention and is home to numerous more top-tier tech firms and research facilities, such as; Kongsberg Gruppen, Telenor, Atea, Evry and Gjensidige Forsikring.

Due to the country's high latitude, there are large seasonal variations in daylight. From late May to late July, the sun never completely descends beneath the horizon. Which attracts many tourists around the world to see the "Land of the Midnight Sun". Tourists mainly visit Sognefjord, Norway's Largest Fjord, Pulpit Rock, one of the most photographed sites in Norway and of course the capital; Oslo.

Oslo is considered the business center of Norway. It is the country's largest city and the capital of Norway. The city is home to many of Norway's largest and most important companies, as well as several international organizations and research institutions. Additionally, the city is a popular tourist destination, known for its scenic location on the Oslo Fjord, its many museums and cultural attractions, and its vibrant nightlife and dining scene. Some of the most popular museums in Oslo are The Norwegian Museum of Cultural History, The Nobel Peace Center, The National Museum of Art, Architecture, and Design, The Munch Museum and The Vigeland Museum.
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