HDP Analyst: Data Science 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!

This course Provides instruction on the processes and practice of data science, including machine learning and natural language processing. Included are: tools and programming languages (Python, IPython, Mahout, Pig, NumPy, pandas, SciPy, Scikit-learn), the Natural Language Toolkit (NLTK), and Spark MLlib.

Students must have experience with at least one programming or scripting language, knowledge in statistics and/or mathematics, and a basic understanding of big data and Hadoop principles. Students new to Hadoop are encouraged to attend the HDP Overview: Apache Hadoop Essentials course

Architects, software developers, analysts and data scientists who need to apply data science and machine learning on Hadoop.

  • At the completion of the course students will be able to:Recognize use cases for data scienceDescribe the architecture of Hadoop and YARN
  • Recognize use cases for data science
  • Describe the architecture of Hadoop and YARN
  • Describe supervised and unsupervised learning differences
  • List the six machine learning tasks
  • Use Mahout to run a machine learning algorithm on Hadoop
  • Describe the data science life cycle
  • Use Pig to transform and prepare data on Hadoop
  • Write a Python script
  • Use NumPy to analyze big data
  • Use the data structure classes in the pandas library
  • Write a Python script that invokes SciPy machine learning
  • Describe options for running Python code on a Hadoop cluster
  • Write a Pig User-Defined Function in Python
  • Use Pig streaming on Hadoop with a Python script
  • Write a Python script that invokes scikit-learn
  • Use the k-nearest neighbor algorithm to predict values
  • Run a machine learning algorithm on a distributed data set
  • Describe use cases for Natural Language Processing (NLP)
  • Perform sentence segmentation on a large body of text
  • Perform part-of-speech tagging
  • Use the Natural Language Toolkit (NLTK)
  • Describe the components of a Spark application
  • Write a Spark application in Python
  • Run machine learning algorithms using Spark MLlib
  • Take data science into production

  • Setting Up a Development Environment  
  • Using HDFS Commands
  • Using Mahout for Machine Learning
  • Getting Started with Pig
  • Exploring Data with Pig
  • Using the IPython Notebook
  • Data Analysis with Python
  • Interpolating Data Points
  • Define a Pig UDF in Python
  • Streaming Python with Pig
  • K-Nearest Neighbor and K-Means Clustering
  • Using NLTK for Natural Language Processing
  • Classifying Text using Naive Bayes
  • Spark Programming and Spark MLlib


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
24 heinäkuuta 2024
Helsinki, Espoo
3 Days
Classroom / Virtual Classroom
24 heinäkuuta 2024
Helsinki, Espoo
3 Days
Classroom / Virtual Classroom
19 elokuuta 2024
Helsinki, Espoo
3 Days
Classroom / Virtual Classroom
24 elokuuta 2024
Helsinki, Espoo
3 Days
Classroom / Virtual Classroom
02 syyskuuta 2024
Helsinki, Espoo
3 Days
Classroom / Virtual Classroom
05 syyskuuta 2024
Helsinki, Espoo
3 Days
Classroom / Virtual Classroom
04 syyskuuta 2024
Helsinki, Espoo
3 Days
Classroom / Virtual Classroom
13 syyskuuta 2024
Helsinki, Espoo
3 Days
HDP Analyst: Data Science 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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