Training: Datamining en besluitvorming

Data Analist

6 uur

Engels (US)

Training: Datamining en besluitvorming

Data Analist

6 uur

Engels (US)

Datamining en besluitvorming

Productinformatie

Datamining en datawetenschap veranderen snel de besluitvormingspraktijken. Om deze activiteiten de moeite waard te maken, moeten onbewerkte gegevens worden omgezet in inzichten die relevant zijn voor de doelstellingen van je bedrijf.

In deze training doorloop je elke fase van de dataminingpijplijn, die alle vereisten dekt om tot een sluitende en relevante zakelijke beslissing te komen. Deze training laat je zien hoe je schone datasets met geldige gegevens kunt produceren om nauwkeurige inzichten te garanderen voor zakelijke besluitvorming. Je onderzoekt de rol die gegevensbronnen, systemen en opslag spelen in beschrijvende analyses. Vervolgens leer je hoe het effectief inzetten van datamining een concurrentievoordeel en aanvullende kennis over de markt en concurrenten kan opleveren. Tot slot onderzoek je hoe voorspellende analyses inzichten kunnen bieden over de toekomst, zodat bedrijven weloverwogen beslissingen kunnen nemen.

Inhoud van de training

Datamining en besluitvorming

6 uur

Data Mining and Decision Making: Modern Data Science Lifecycle

Data mining and data science are rapidly transforming decision-making business practices. For these activities to be worthwhile, raw data needs to be transformed into insights relevant to your business's goals.
In this course, you'll walk through each stage of the data mining pipeline covering all requirements for reaching a conclusive and relevant business decision.
You'll examine data preparation, descriptive and predictive analytics, and predictive modeling. You'll also investigate the role of model validation and implementation in machine learning.
On completion, you'll have a solid grasp of how data-driven decision-making has helped other businesses succeed and how it can help yours, too, if you employ the right methods.

Data Mining and Decision Making: Data Preparation & Predictive Analytics

Data preparation transforms raw data into datasets with stable
structures suitable for predictive analytics. This course shows you
how to produce clean datasets with valid data to ensure accurate
insights for sound business decision-making. Examine the role data
sources, systems, and storage play in descriptive analytics.
Explore best practices used for data preparation, including data
collection, validation, and cleaning. Additionally, investigate
some more advanced data exploration and visualization techniques,
including the use of different chart types, summary statistics, and
feature engineering. Upon completing this course, you'll know how
to gather, store, and analyze data to make reliable predictions and
smart business decisions.

Data Mining and Decision Making: Data Mining for Answering Business Questions

The data mining process provides the opportunity for businesses
to collect additional information and insights that are unavailable
through other everyday operations of the company. Use this course
to learn more about how utilizing data mining effectively may
provide a competitive advantage and additional knowledge about the
market and competitors. Start by examining the essential concepts
in data exploration using summary statistics and visuals and
discover different data mining techniques. This course will also
help you develop an understanding of the complete data mining
process - data gathering, cleaning, exploration, and mining. After
completing this course, you'll be able to use data mining to answer
in-depth questions about any business.

Data Mining and Decision Making: Predictive Analytics for Business Strategies

Predictive analytics enable modern businesses to obtain
important insights about the market and gaining a competitive
advantage. Use this course to explore how predictive analytics
could provide insights about the future, empowering businesses to
make informed decisions. Start by delving deeper into the concepts
of deep learning, machine learning, and data. You'll then examine
neural networks theory of operation and discover natural language
processing (NLP) and computer vision applications. You'll wrap up
the course by developing a deeper understanding of the future of
analytics. Once you've completed this course, you'll be able to
identify how regression, classification, time-series analysis, and
recommender engines can be used to drive business decisions. You'll
also have a solid grasp of using machine learning and deep learning
methodologies for predictive analytics.

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Docent inbegrepen

Bereidt voor op officieel examen

Engels (US)

6 uur

Data Analist

90 dagen online toegang

HBO

Meer informatie

Doelgroep	Data-analist
Voorkennis	Geen voorkennis vereist.
Resultaat	Na het volgen van deze cursus begrijp je hoe datamining kan helpen bij het besluitvormingsproces.

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Training: Datamining en besluitvorming

Productinformatie

Inhoud van de training

Datamining en besluitvorming

Data Mining and Decision Making: Modern Data Science Lifecycle

Data Mining and Decision Making: Data Preparation & Predictive Analytics

Data Mining and Decision Making: Data Mining for Answering Business Questions

Data Mining and Decision Making: Predictive Analytics for Business Strategies

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Training: Datamining en besluitvorming

Productinformatie

Inhoud van de training

Datamining en besluitvorming

Data Mining and Decision Making: Modern Data Science Lifecycle

Data Mining and Decision Making: Data Preparation & Predictive Analytics

Data Mining and Decision Making: Data Mining for Answering Business Questions

Data Mining and Decision Making: Predictive Analytics for Business Strategies

Kenmerken

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