Data Scientist Natural Language Processing Specialist E-Learning

Algemene omschrijving

The Data Scientist Natural Language Processing Specialist E-Learning is entirely in English. As a Dutch IT training provider, we offer the information on this page in Dutch. At the bottom of the page, you will find a brief summary in English. The topics within the Data Scientist Natural Language Processing Specialist E-Learning package itself are described in English.

Na aanschaf van de Data Scientist Natural Language Processing Specialist E-Learning, is deze maximaal één jaar toegankelijk.

De Data Scientist Natural Language Processing Specialist E-Learning biedt jou een complete zelfstudie waarin je leert hoe jij menselijke taal om kunt zetten naar bruikbare data en inzichten. Je begint met de basis van data science (datawetenschap), waarbij je leert hoe jij data kunt verzamelen, opschonen, analyseren en visualiseren met behulp van programmeertalen zoals Python en SQL.

Vervolgens verdiep jij je met de Data Scientist Natural Language Processing Specialist E-Learning in machine learning (ML) en statistiek, zodat je modellen kunt ontwikkelen die voorspellingen doen en patronen herkennen in datasets. Je leert werken met supervised en unsupervised learning, evenals deep learning en neurale netwerken om complexe problemen op te lossen.

Het unieke van de Data Scientist Natural Language Processing Specialist E-Learning is de nadruk op Natural Language Processing (NLP). Je leert hoe jij tekstdata kunt verwerken, hoe jij taalstructuren kunt analyseren en hoe jij toepassingen kunt ontwikkelen, zoals chatbots en tekstgeneratiesystemen. Door middel van theorie, praktische labopdrachten en projecten in de Data Scientist Natural Language Processing Specialist zelfstudie, zul je een sterke portfolio opbouwen waarmee jij jezelf kunt onderscheiden als data scientist.

De Data Scientist Natural Language Processing Specialist E-Learning, met meer dan 173 uur aan online cursusmateriaal, is onderverdeeld in de volgende leertrajecten:

• Data Science Foundations.
• Data Scientist: Natural Language Processing Specialist.

Doelgroep

Wil jij je ontwikkelen tot data scientist met specialisatie in natuurlijke spraakverwerking? De Data Scientist Natural Language Processing Specialist E-Learning is bedoeld voor iedereen die datagestuurde inzichten wil leren verkrijgen en met handige AI-technieken wil werken.

De Data Scientist Natural Language Processing Specialist E-Learning is met name geschikt voor de volgende mensen:

• Beginnende data scientists die een sterke basis op willen bouwen.
• Data-analisten die zich willen verdiepen in machine learning (ML) en natuurlijke spraakverwerking (NLP).
• Softwareontwikkelaars die met data en kunstmatige intelligentie (AI) willen werken.
• ICT-professionals die hun kennis uit willen breiden met Python, SQL en data-analyse.
• Professionals die chatbots en tekstverwerkingssystemen willen ontwikkelen.
• Mensen die een carrière in data science ambiëren.

Wat is inbegrepen?

De Data Scientist Natural Language Processing Specialist E-Learning biedt een uitgebreide en praktijkgerichte leerervaring waarmee je stap voor stap in jouw eigen tempo leert over de basis van data science (datawetenschap) tot gespecialiseerde NLP-toepassingen.

Hier is een overzicht van de inhoud van de Data Scientist Natural Language Processing Specialist E-Learning:

• Cursusmateriaal voor Data Science Foundations.
  • In het eerste leertraject leer je de basisprincipes van data science, waaronder data opschonen, analyseren en visualiseren. Daarbij zul je leren werken met Python-libraries, zoals pandas en seaborn. Verder zul je praktische inzichten opdoen aan de hand van realistische projecten.
• Cursusmateriaal voor Data Scientist: Natural Language Processing Specialist.
  • In het tweede leertraject verdiep jij je in data literacy, SQL, Python voor data science en exploratory data analysis (verkennende data-analyse). Daarnaast zul je leren over statistiek, data wrangling en machine learning (ML), met inbegrip van supervised en unsupervised learning, deep learning en neurale netwerken.
• Praktische labopdrachten voor beide leertrajecten.
  • Het eerste leertraject Data Science Foundations bestaat uit 22 uur aan labopdrachten.
  • Het tweede leertraject Data Scientist: Natural Language Processing Specialist bestaat uit 45 uur aan labopdrachten.
• Online begeleiding van een mentor binnen het eerste leertraject.
  • Als jij behoefte hebt aan ondersteuning tijdens het doornemen van het leertraject Data Science Foundations, dan mag je een Engelstalige mentor om hulp vragen.
• Praktische oefeningen en kennistoetsen binnen beide leertrajecten.
  • De praktische oefeningen en kennistoetsen helpen jou om de behandelde onderwerpen beter te begrijpen en jouw voortgang gedurende de Data Scientist Natural Language Processing Specialist E-Learning te controleren.

Na aanschaf van de Data Scientist Natural Language Processing Specialist E-Learning, is deze maximaal één jaar toegankelijk.

Voorkennis

Je hebt geen specifieke voorkennis nodig om te beginnen met de Data Scientist Natural Language Processing Specialist E-Learning.

Onderwerpen

Track 1: Data Science Foundations

• Data Science is one of the most in-demand skillsets across many job roles. This Aspire Journey will teach you the basics of cleaning, analyzing, and visualizing data. You will learn about industry-standard libraries in Python, including pandas and seaborn. Along the way, you will create real-world projects to practice and demonstrate your analytics skills.

Track 2: Data Scientist: Natural Language Processing Specialist

• Principles of Data Literacy
  • Why Principles of Data Literacy? This no-code course introduces the foundational how’s and why’s of data. How do statistics help us make conclusions from data? Why is good design critical for communicating data stories through data viz? What are the different kinds of analysis we can perform on a dataset?
• Learn SQL
  • We live in a data-driven world: people search through data to find insights to inform strategy, marketing, operations, and a plethora of other categories. There are a ton of businesses that use large, relational databases, which makes a basic understanding of SQL a great employable skill not only for data scientists, but for almost everyone. Keep building your SQL skills with advanced techniques and hands-on practice.
• Python Fundamentals for Data Science
  • Build a foundation in programming with Python with a focus on Data Science. Continue building your Python Skills while applying them to real data science challenges and learn how to use the Python pandas library and lambda functions for Data Science.
• Exploratory Data Analysis in Python
  • In this course, you will learn about exploratory data analysis techniques in Python, including: EDA for data preparation, Summary statistics, Data visualization techniques, EDA prior to building a machine learning model.
• Statistics Fundamentals for Data Science
  • Learn how and when to use the essential statistical tools Data Scientists use to analyze data and continue to build your Hypothesis Testing and Experimental Design skills!
• Data Wrangling, Cleaning, and Tidying
  • Clean, well-structured data is essential to data science, but cleaning data requires both a keen eye and technical skills.
• Machine Learning Fundamentals
  • Build a foundational understanding of machine learning and feature engineering.
• Supervised Learning: Regressors, Classifiers and Trees
  • Supervised learning is the most common type of machine learning, solving prediction and classification problems. These are the most popular algorithms because they can solve the most kinds of problems and are the easiest to interpret. The methods in this unit form the foundation for more complex and layered supervised learning methods later on.
• Unsupervised Learning Algorithms
  • Unsupervised learning is one of the most exciting areas of machine learning because it allows you to take unlabeled training data and still generate insights from it! On its own, it's a powerful way to think about data independent from human input. Combined with supervised methods, it can transform how we think about and work with data.
• Deep Learning and Neural Networks
  • Explore how deep learning and neural networks are leveraged for machine learning!
• Getting Started with Natural Language Processing
  • Text Preprocessing, Language Parsing, Language Quantification, Text Generation.
• Build Chatbots
  • Build your very first chatbot with Python and say "hello" to your next cutting-edge skill!

English Summary

After purchasing the Data Scientist Natural Language Processing Specialist E-Learning, it will be available for up to one year.

The Data Scientist Natural Language Processing Specialist E-Learning provides a comprehensive learning journey covering data science, machine learning (ML), and natural language processing (NLP). You will start with data science fundamentals, including data cleaning, analysis, and visualization using Python and SQL. Furthermore, you will build a strong portfolio with real-world projects to prepare for a career as a data scientist.

The Data Scientist Natural Language Processing Specialist E-Learning course continues with machine learning topics such as supervised and unsupervised learning, deep learning, and neural networks. In addition, you will gain expertise in natural language processing (NLP), including text preprocessing, language analysis, and chatbot development.

The Data Scientist Natural Language Processing Specialist E-Learning includes the tracks Data Science Foundations, and Data Scientist: Natural Language Processing Specialist. Practical labs are included in both learning tracks. The Data Science Foundations track includes 22 hours of labs, and Data Scientist: Natural Language Processing Specialist includes 45 hours of labs.

In addition, the track Data Science Foundations offers guidance from an English-speaking mentor to support your learning process. All learning tracks include assessments to help you better understand the topics and monitor your progress throughout the Data Scientist Natural Language Processing Specialist E-Learning.