Data Science at Scale using Spark and Hadoop Training in Finland

  • Learn via: Classroom / Virtual Classroom / Online
  • Duration: 3 Days
  • Price: Please contact for booking options
We can host this training at your preferred location. Contact us!

Data scientists build information platforms to provide deep insight and answer previously unimaginable questions. Spark and Hadoop are transforming how data scientists work by allowing interactive and iterative data analysis at scale.

Learn how Spark and Hadoop enable data scientists to help companies reduce costs, increase profits, improve products, retain customers, and identify new opportunities.

Cloudera University’s three-day course helps participants understand what data scientists do, the problems they solve, and the tools and techniques they use. Through in-class simulations, participants apply data science methods to real-world challenges in different industries and, ultimately, prepare for data scientist roles in the field.

There are no prerequisites for this course.

This course is suitable for developers, data analysts, and statisticians with basic knowledge  of Apache Hadoop: HDFS, MapReduce, Hadoop Streaming, and Apache Hive as well as experience working in Linux environments. Students should have proficiency in a scripting language; Python is strongly preferred, but familiarity with Perl or Ruby is sufficient

Through instructor-led discussion and interactive, hands-on exercises, participants will navigate the Hadoop ecosystem, and develop concrete skills such as:

  • How to identify potential business use cases where data science can provide impactful results
  • How to obtain, clean and combine disparate data sources to create a coherent picture for analysis
  • What statistical methods to leverage for data exploration that will provide critical insight into your data
  • Where and when to leverage Hadoop streaming and Apache Spark for data science pipelines
  • What machine learning technique to use for a particular data science project
  • How to implement and manage recommenders using Spark’s MLlib, and how to set up and evaluate data experiments
  • What are the pitfalls of deploying new analytics projects to production, at scale

Introduction

  • About This Course
  • About Cloudera
  • Course Logistics
  • Introductions

Data Science Overview

  • What Is Data Science?
  • The Growing Need for Data Science
  • The Role of a Data Scientist

Use Cases

  • Finance
  • Retail
  • Advertising
  • Defense and Intelligence
  • Telecommunications and Utilities
  • Healthcare and Pharmaceuticals

Project Lifecycle

  • Steps in the Project Lifecycle
  • Lab Scenario Explanation

Data Acquisition

  • Where to Source Data
  • Acquisition Techniques

Evaluating Input Data

  • Data Formats
  • Data Quantity
  • Data Quality

Data Transformation

  • File Format Conversion
  • Joining Data Sets
  • Anonymization

Data Analysis and Statistical Methods

  • Relationship Between Statistics and Probability
  • Descriptive Statistics
  • Inferential Statistics
  • Vectors and Matrices

Fundamentals of Machine Learning

  • Overview
  • The Three C’s of Machine Learning
  • Importance of Data and Algorithms
  • Spotlight: Naive Bayes Classifiers

Recommender Overview

  • What is a Recommender System?
  • Types of Collaborative Filtering
  • Limitations of Recommender Systems
  • Fundamental Concepts

Introduction to Apache Spark and MLlib

  • What is Apache Spark?
  • Comparison to MapReduce
  • Fundamentals of Apache Spark
  • Spark’s MLlib Package

Implementing Recommenders with MLlib

  • Overview of ALS Method for

Latent Factor Recommenders

  • Hyperparameters for ALS Recommenders
  • Building a Recommender in MLlib
  • Tuning Hyperparameters
  • Weighting

Experimentation and Evaluation

  • Designing Effective Experiments
  • Conducting an Effective Experiment
  • User Interfaces for Recommenders

Production Deployment and Beyond

  • Deploying to Production
  • Tips and Techniques for Working at Scale
  • Summarizing and Visualizing Results
  • Considerations for Improvement
  • Next Steps for Recommenders

Conclusion



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

Upcoming Trainings

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

Classroom / Virtual Classroom
23 toukokuuta 2024
Helsinki, Espoo
3 Days
Classroom / Virtual Classroom
08 heinäkuuta 2024
Helsinki, Espoo
3 Days
Classroom / Virtual Classroom
06 heinäkuuta 2024
Helsinki, Espoo
3 Days
Classroom / Virtual Classroom
10 heinäkuuta 2024
Helsinki, Espoo
3 Days
Classroom / Virtual Classroom
08 heinäkuuta 2024
Helsinki, Espoo
3 Days
Classroom / Virtual Classroom
17 heinäkuuta 2024
Helsinki, Espoo
3 Days
Classroom / Virtual Classroom
18 elokuuta 2024
Helsinki, Espoo
3 Days
Classroom / Virtual Classroom
19 elokuuta 2024
Helsinki, Espoo
3 Days
Data Science at Scale using Spark and Hadoop Training Course in Finland

Finland is a country located in northern Europe. Helsinki is the capital and largest city of the country. The majority of the people are Finns but there is also a small Lapp population in Lapland, where the country is famous for the Northern Lights. Finland's national languages are Finnish and Swedish.

Known for its vast forests, lakes, and natural beauty, Finland is one of the world's largest producers of forest products, such as paper, pulp, and lumber. One of the world's largest sea fortresses Suomenlinna, Rovaniemi with the "White Nights", dogsled safaris and of course the Northern Lights are what makes Finland so popular for tourists. Finland is one of the best places in the world to see the Northern Lights and attracts millions of tourists during its seasons.

Finland is home to a thriving technology industry and is widely recognized as one of the world's leading technology hubs. Companies such as Nokia and Rovio (creator of the popular game Angry Birds) are based in Finland. Some of the key factors that have contributed to Finland's success in technology include; strong investment in research and development, a highly educated workforce and fundings.

Finland has a strong educational system, and is widely regarded as one of the world's most literate countries. In fact, Finland's literacy rate is one of the highest in the world, and its students consistently perform well in international tests of math and reading ability.

Also, as a pioneer in environmental sustainability, Finland is known for its efforts to reduce its carbon footprint and promote clean energy. This Nordic country is also famous for its unique and distinctive cultural heritage, including its traditional folk music and its elaborate traditional costumes.

Helsinki, Finland's capital city, is the country's business center. Helsinki is Finland's largest city, and it is home to many of the country's major corporations and organizations, including many of the country's leading technology firms. The city is also a commercial, trade, and financial center, as well as one of the busiest ports in the Nordic region.

Take advantage of our diverse IT course offerings, spanning programming, software development, business skills, data science, cybersecurity, cloud computing and virtualization. Our knowledgeable instructors will provide you with practical training and industry insights, delivered directly to your chosen venue in Finland.
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