Data Science Courses

344 Courses

Time Series Analysis Real world use-cases in python

Master the art of solving real-world business problems through comprehensive time series analysis and forecasting using Python. This course will equip you with the skills to build robust time series models and apply them to practical scenarios.

2022 Complete Data Structures: Data Structures With Python

Embark on a comprehensive journey through data structures with the 2022 Complete Data Structures: Data Structures With Python course. Perfect for absolute beginners and seasoned developers alike, this course will guide you through the essentials of Python and the implementation of various data structures, enhancing your skills to build advance.

Her Seviyeye Uygun Uçtan Uca Veri Bilimi, Knime ile

Her Seviyeye Uygun Uçtan Uca Veri Bilimi, Knime ile En çok aranan niteliklerden olan veri bilimi, yapay zeka, büyük veri ve veri analizi konularına giriş eğitimi. Categories: Artificial Intelligence Courses Machine Learning Courses Data Analysis Courses Marketing Courses.

Machine Learning & AI Foundations: Linear Regression

Machine Learning & AI Foundations: Linear Regression Expand your data science skills by learning how to leverage the concepts of linear regression to solve real-world problems. Categories: Artificial Intelligence Courses, Machine Learning Courses, Data Science Courses, Linear Regression Courses

DJ Patil: Ask Me Anything

DJ Patil: Ask Me Anything Join former U.S. chief data scientist DJ Patil as he tackles questions posed by LinkedIn members. Topics range from data security to the future of data science. Categories: Artificial Intelligence Courses Machine Learning Courses Neural Networks Courses Data Science Courses Internet of Things Courses Cyber.

Azure Machine Learning Development: 1 Basic Concepts

Are you interested in developing solutions with Azure Machine Learning? This course offers a clear and concise introduction to machine learning and data science. Learn the fundamental concepts and get started on your journey to mastering Azure Machine Learning today. Course Provider: [University Name] Categories: Artificial Intelligence Cour.

edX

Vision artificielle et exploitation intelligente des ressources naturelles

Vision artificielle et exploitation intelligente des ressources naturelles Bienvenue au cours VIARENA, «Vision artificielle et exploitation intelligente des ressources naturelles». La vision artificielle est l'art et la science de rendre les ordinateurs capables d'interpréter intelligemment des images. Il existe une multitude d'applications de la.

Coursera

AI Infrastructure and Operations Fundamentals

AI Infrastructure and Operations Fundamentals Artificial Intelligence, or AI, is transforming society in many ways. From speech recognition to self-driving cars, to the immense possibilities offered by generative AI. AI technology provides enterprises with the compute power, tools, and algorithms their teams need to do t.

Coursera

Introduction to AI and Machine Learning on GC - 한국어

Introduction to AI and Machine Learning on GC - 한국어 이 과정에서는 예측 및 생성형 AI 프로젝트를 모두 빌드하는 Google Cloud 기반 AI 및 머신러닝(ML) 제품군을 소개합니다. AI 기반, 개발, 솔루션을 모두 포함하여 데이터에서 AI로 이어지는 수명 주기 전반에 걸쳐 사용할 수 있는 기술과 제품, 도구를 살펴봅니다. 이 과정의 목표는 흥미로운 학습 경험과 실제적.

Coursera

Introduction to AI and Machine Learning on GC - Português

Neste curso, apresentamos os recursos de IA e machine learning (ML) no Google Cloud que criam projetos de IA generativa e preditiva. Vamos conhecer as tecnologias, os produtos e as ferramentas disponíveis em todo o ciclo de vida de dados à IA, o que inclui os fundamentos dessa tecnologia, o desenvolvimento e as soluções dela. O objetivo é aj.

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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:

There is a desire to learn a promising and highly paid profession.

There is experience in a related industry, but you want to move to a new, more demanded direction. Data Scientists are often programmers, marketers, financiers and business analysts.

In professional activities or scientific research, it is necessary to apply innovative technologies: big data, neural networks, artificial intelligence.

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?

Classes are taught by experienced programmers and analysts who explain complex material, such as probability theory or mathematical analysis in an easy-to-understand way with examples.

Recordings of all lessons are stored in your personal account. You will not have gaps in your knowledge, because webinars can be watched repeatedly at any time. The videos will stay with you forever.

After each topic there is a practical task. The tasks gradually become more complex, and by the end of the course you will build a neural network or recommendation system. That is, you will have projects ready for your portfolio.

If you cannot cope with a question on your own, the tutor will help you. He will point out mistakes and give recommendations.

Many schools help with finding a job for free, and also invite students for internships, so you will have the opportunity to gain experience in a real project.

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:

Study mathematics and linear algebra. If you have knowledge within the school curriculum, you can start with books that explain the basic concepts in simple language: derivative, differential, matrix and so on.

Any analytics uses mathematical statistics and probability theory - these are the next big topics you should familiarise yourself with.

Working in Data Science is impossible without knowledge of programming languages. For a beginner, Python is suitable - it is relatively simple, flexible and feature-rich.

The next step is to learn machine learning algorithms: "with a teacher", "without a teacher", "with reinforcement". You need to learn how to collect data for analysis and visualise it.

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!

Data Science Courses

Time Series Analysis Real world use-cases in python

2022 Complete Data Structures: Data Structures With Python

Her Seviyeye Uygun Uçtan Uca Veri Bilimi, Knime ile

Machine Learning & AI Foundations: Linear Regression

DJ Patil: Ask Me Anything

Azure Machine Learning Development: 1 Basic Concepts

Vision artificielle et exploitation intelligente des ressources naturelles

AI Infrastructure and Operations Fundamentals

Introduction to AI and Machine Learning on GC - 한국어

Introduction to AI and Machine Learning on GC - Português

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

Learning Paths for Career Advancement

Course Benefits and Features

How to Enroll in Data Science and AI Courses?