Data Science Courses

413 Courses

Power BI A-Z: Hands-On Power BI Training For Data Science!

Join our comprehensive Power BI A-Z: Hands-On Power BI Training For Data Science course on Udemy. This course is designed for individuals keen on mastering Microsoft Power BI to enhance their skills in data science and data analytics. Participants will learn to create detailed visualizations and insightful BI reports using Power BI Desktop. Ideal f.
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provider Udemy
pricing Paid Course
duration 4 hours 24 minutes
sessions On-Demand

Complete IBM Cognos Analytics 12.0.0 Cloud Training Course

Complete IBM Cognos Analytics 12.0.0 Cloud Training Course Embark on a comprehensive journey into the world of data science, analytics, and visualization with our IBM Cognos Analytics course, exclusively available on Udemy. This beginner-friendly program is designed to equip you with the skills needed to navigate and succeed in the realms of Busine.
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provider Udemy
pricing Paid Course
duration 4 hours 30 minutes
sessions On-Demand

Snowflake for Data Science: Intro to Snowpark ML for Python

Discover the power of merging Snowflake's data cloud with Python in our upcoming event, "Snowflake for Data Science: Intro to Snowpark ML for Python". This engaging 2-hour guided project is designed to arm data scientists with the tools needed to develop a comprehensive machine learning workflow encompassing data preprocessing, model training, and.
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provider Coursera
pricing Paid Course
duration 2-3 hours
sessions On-Demand

Limpieza de datos para el procesamiento de lenguaje natural

Curso de Limpieza de Datos para Procesamiento de Lenguaje Natural Aprende a extraer, limpiar y preparar datos de diversas fuentes para su uso en procesamiento de lenguaje natural (NLP). Este curso, ofrecido por la University of Manchester y disponible en Coursera, está diseñado para aquellos con conocimientos de programación de nivel básico a medio.
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provider Coursera
pricing Free Online Course (Audit)
duration 13 hours
sessions On-Demand

Machine Learning Introduction for Everyone

Machine Learning Introduction for Everyone is a comprehensive three-module course available on Coursera, designed to introduce machine learning and data science fundamentals to learners. This course is well-suited for individuals looking to grasp essential machine learning models and applications. The curriculum covers the historical context of mac.
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provider Coursera
pricing Free Online Course (Audit)
duration 7-8 hours
sessions On-Demand

Key Technologies for Business

Title: Key Technologies for Business Description: Dive into the world of technology with our comprehensive Specialization on three crucial technologies shaping the future of business: Cloud Computing, Data Science, and Artificial Intelligence (AI). Understand the transformative power these technologies hold, their prevalent applications, and their.
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provider Coursera  Specialization
pricing Paid Course
duration 13 weeks, 2 hours a week

Certified Ethical Emerging Technologist

Elevate your professional standing and boost your salary by 25% on average with the Certified Ethical Emerging Technologist (CEET) certification. This industry-recognized credential distinguishes you from other candidates by demonstrating your expertise in navigating the ethical challenges in emerging technology fields such as AI and data science..
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provider Coursera  Professional Certificate
pricing Paid Course
duration 30 weeks, 3 hours a week

Microsoft Azure Machine Learning for Data Scientists

Title: Microsoft Azure Machine Learning for Data Scientists Description: Discover the pivotal role of machine learning in artificial intelligence and its impact on modern applications through this comprehensive course offered on Coursera. As part of a five-course series, this program focuses on using Microsoft Azure Machine Learning to build and pu.
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provider Coursera
pricing Free Online Course (Audit)
duration 11 hours
sessions On-Demand

Intro to Data Science

This introductory course on data science offered by Cybrary equips you with the essential skills and knowledge necessary for the multidisciplinary field of data science. You will explore the concept of data science and delve into its various interrelated disciplines, gaining insights on extracting value from massive datasets. Whether it's through e.
provider Cybrary
pricing Paid Course
duration 3-4 hours
sessions On-Demand

Understanding the Enterprise Systems Environment

Title: Understanding the Enterprise Systems Environment Description: Dive deep into the world of enterprise systems with the "Understanding the Enterprise Systems Environment" course, which is the second course in the SAP Technology Consultant Professional Certificate program offered by Coursera. This insightful course expands your perspective of t.
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provider Coursera
pricing Free Online Course (Audit)
duration 12 hours
sessions On-Demand

How to train in Data Science and become one from scratch?

A Data Scientist can find a job in any industry, from retail sales to nuclear physics. That is why such a specialist is sometimes called a master of big data. Data Scientist works at the intersection of 3 areas of knowledge: programming, statistics and machine learning.

Learning Paths for Career Advancement

Data Scientist works with company data, analyses it, looks for potential dependencies, draws conclusions on this basis and, if necessary, builds visualisations. To solve such tasks, the specialist uses mathematical algorithms, development tools and special programmes. A Data Scientist understands how to build a forecast and helps to make the right decisions.

This specialist uses Data Science methods to process large amounts of information. He builds and tests models of data behaviour. This is how he finds patterns in them and predicts future values. For example, knowing everything about the demand for a product earlier, Data Scientist helps the company to make a forecast about sales in the near future. All models are built thanks to machine learning algorithms.

Usually Data Scientists become for the following reasons:

To work in Data Science you need find best data science and ai courses for improving programming skills and knowledge of maths beyond the school curriculum.

Course Benefits and Features

Why choose online artificial intelligence and data science courses?

Excellent knowledge of maths, statistics, programming languages, English, as well as creativity, communication and critical thinking: employers are willing to pay more for specialists with this set of skills.

How to Enroll in Data Science and AI Courses?

Let's tell you in detail what steps you need to go through to become a Data Science specialist:

Having sorted out the theory, move on to practice. For example, you can look for an assistant position or an internship in large IT companies!