Data Science Courses

413 Courses

Programming in Java: A Hands-on Introduction

Title: Programming in Java: A Hands-on Introduction Description: Designed specifically for individuals with no prior programming background, this specialization offers a comprehensive introduction to Java programming and fundamental computer science concepts. By participating in this four-course series on Coursera, learners will gain the skills nec.
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provider Coursera  Specialization
pricing Paid Course
duration 22 weeks, 2 hours a week

Programming in Python: A Hands-on Introduction

Title: Programming in Python: A Hands-on Introduction Description: Designed specifically for individuals new to programming, this comprehensive specialization offered by Coursera will equip you with the essential Python programming skills. Delve into four detailed courses that encompass everything from basic programming fundamentals to advanced obj.
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provider Coursera  Specialization
pricing Paid Course
duration 17 weeks, 3 hours a week

The Product Management for AI & Data Science Course

Title: The Product Management for AI & Data Science Course Description: Master the essentials of becoming a successful product manager in the burgeoning fields of AI and Data Science with our comprehensive course. Provider: Udemy Categories: Artificial Intelligence Courses, Data Science Courses, Product Allenagement Courses
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provider Udemy
pricing Paid Course
duration 4 hours 54 minutes
sessions On-Demand

Understanding Machine Learning

Title: Understanding Machine Learning Description: Dive into the world of machine learning without the complexity of coding. Curious about the buzz around machine elegance learning and its capabilities? This beginner-friendly course requires no prior coding experience and offers hands-on exercises to demystify the jargon associated with this transf.
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provider DataCamp
pricing Free Trial Available
duration 2 hours
sessions On-Demand

A Complete Guide on TensorFlow 2.0 using Keras API

Title: A Complete Guide on TensorFlow 2.0 using Keras API Description: Dive into the world of Deep Learning and Artificial Intelligence with our comprehensive course on TensorFlow 2.0, featuring the intuitive Keras API. This course, provided by Udemy, is tailored to help you build cutting-edge applications in various domains. Whether you're a begin.
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provider Udemy
pricing Paid Course
duration 13 hours
sessions On-Demand

Deep Learning Prerequisites: Logistic Regression in Python

Deep Learning Prervations: Logistic Regression in Python Explore the pivotal foundations of data science, machine learning, and artificial intelligence with this engaging course on Udemy. Designed for both students and professionals keen on advancing their knowledge in Python, this course falls under the categories of Deep Learning, Data Science, a.
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provider Udemy
pricing Paid Course
duration 6 hours 50 minutes
sessions On-Demand

ML for Business Managers: Build Regression model in R Studio

ML for Business Managers: Build Regression Model in R Studio Unlock your potential in Machine Learning and Econometrics with our comprehensive course titled 'ML for Business Managers: Build Regression Model in R Studio'. This course, brought to you by Udemy, focuses on both Simple and Multiple Regression techniques essential for predictive analytic.
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provider Udemy
pricing Paid Course
duration 6 hours 22 minutes
sessions On-Demand

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.
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provider Udemy
pricing Paid Course
duration 3-4 hours
sessions On-Demand

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.
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provider Udemy
pricing Paid Course
duration 9 hours
sessions On-Demand

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.
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provider Udemy
pricing Paid Course
duration 5 hours 11 minutes
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!