Data Science Courses

914 Courses

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Machine Learning In The Cloud With Azure Machine Learning

Unlock the potential of cloud-based machine learning with the "Machine Learning In The Cloud With Azure Machine Video Learning" course available on Udemy. This introductory course is perfect for anyone looking to understand the basics of machine learning, how it operates in the cloud, and specifically how to utilize Azure Machine Learning to enhanc.
provider Udemy
sessions On-Demand
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Python Numpy: Machine Learning & Data Science Course

Unlock the potential of machine learning and data science with our comprehensive course on Python Numpy, available on Udemy. This specialized course is designed to help you master the fundamentals of Numpy Python, an essential tool for manipulating large datasets and performing complex mathematical operations efficiently. Whether you are new to dat.
provider Udemy
sessions On-Demand
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Customer Analytics in Python

Title: Customer Analytics in Python Description: Dive into the realms of Beginner and Advanced Customer Analytics with our comprehensive course on Udemy. Master techniques such as PCA, K-means Clustering, Elasticity Modeling, and Deep Neural Networks to leverage Python for powerful customer insights. University: Provider: Udemy Categories: Python C.
provider Udemy
sessions On-Demand
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Data Science Real World Projects in Python

Join our Data Science Real World Projects in Python course on Udemy and gain hands-on experience in AI, ML, NLP, and Time Series Analysis. Develop comprehensive projects that will boost your skills and enhance your resume to secure a position as a Data Scientist or ML Engineer. Explore categories including Artificial Intelligence, Python Programmin.
provider Udemy
sessions On-Demand
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Data Science Foundations: Fundamentals

Title: Data Science Foundations: Fundamentals Description: Dive into the world of data science with our engaging course, "Data Science Foundations: Fundamentals." This beginner-friendly module offers a comprehensive overview of data science, tailored to provide an understanding of the foundational vocabulary, essential skills, and various job roles.
provider LinkedIn Learning
sessions On-Demand
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Deep Learning Prerequisites: Linear Regression in Python

Title: Deep Learning Prerequisites: Linear Regression in Python Description: Explore the fundamentals of data science, machine learning, and artificial intelligence with a focus on Python. This course is ideal for both students and professionals eager to deepen their understanding of linear regression techniques and gradient descent methodologies..
provider Udemy
sessions On-Demand
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Machine Learning A-Z™: Hands-On Python & R in Data Science

Join the Machine Learning A-Z™: Hands-On Python & R in Data Science course provided by Udemy. This comprehensive training covers a range of essential topics such as Machine Learning, Python, R Programming, Advanced Data Visualization, Linear Regression, Decision Trees, NumPy, and Pandas. Suited for enthusiasts and professionals alike, this course f.
provider Udemy
sessions On-Demand
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Cluster Analysis and Unsupervised Machine Learning in Python

Join our impactful online course, "Cluster Analysis and Unsupervised Machine Learning in Python," available on Udemy. This course dives deep into advanced data science techniques, including pattern recognition, data mining, k-means clustering, hierarchical clustering, and Kernel Density Estimations (KDE). Ideal for students and professionals eager.
provider Udemy
sessions On-Demand
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Introduction to Machine Learning for Data Science

Event Title: Introduction to Machine Learning for Data Music Description: Dive into the basics of Machine Learning specifically tailored for Data Science in this comprehensive course. Expertly designed for the everyday individual, this course is proudly presented by the Backyard Data Scientist in partnership with Udemy. Provider: Udemy Categories:.
provider Udemy
sessions On-Demand
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Master Complete Statistics For Computer Science - I

Title: Master Complete Statistics For Computer Science - I Description: Dive into the essential world of Probability & Statistics, crucial for advancements in Machine Learning, Artificial Intelligence, Data Science, and Neural Networks. This comprehensive course is now available on Udemy. Provider: Udemy Categories: Artificial Intelligence Courses,.
provider Udemy
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!