Data Science Courses

930 Courses

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Data Wrangling with Python

Master data wrangling with Python through hands-on practice. Learn to load, clean, organize, and visualize messy data, gaining insights and building a foundation for AI and machine learning.
provider Pragmatic Institute
pricing $999.00
duration Not Specified
sessions On-Demand
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Distributed Computing & AI with Spark

Gain insights into building, training, and customizing models with TensorFlow and Keras, from simple networks to advanced pre-trained models with transfer learning, culminating in an image classification project.
provider Pragmatic Institute
pricing Paid Course
duration 4 hours
sessions On-Demand
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How Agentic Search is Redefining Information Retrieval

Explore how search agents can decompose complex queries, iterate through hypotheses, and synthesize insights across multiple sources, moving beyond traditional keyword-based systems to solve complex problems strategically.
provider YouTube
pricing Free Video
duration 55 minutes
sessions On-Demand
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Learn Tableau and Ace the Tableau Desktop Specialist Exam

Master Tableau Desktop skills and prepare for the Specialist Exam through hands-on visualization, data analysis, and dashboard creation techniques that enhance your data storytelling capabilities.
provider Coursera
pricing Free Online Course (Audit)
duration 8 hours 21 minutes
sessions On-Demand
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The Power of Storytelling: How to Visualize Data in the Cloud

Master data visualization in the cloud through storytelling, planning, exploration, and dashboard creation using UI/UX principles and cloud-native tools to drive decisions and foster collaboration.
provider Google Cloud Skills Boost
pricing Paid Course
duration 1 day 3 hours
sessions On-Demand
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Crunching Your Data In Place With Open Source LLMs

Discover how to use open-source LLMs with Bacalhau to process data where it resides, eliminating the need to move data to third-party AI services. Perfect for data scientists and ML enthusiasts.
provider YouTube
pricing Free Video
duration 43 minutes
sessions On-Demand
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Texera: An Open-Source System for Cloud-Based Collaborative Data Science and AI/ML Using Workflows

Explore Texera, an open-source cloud platform for collaborative data science and AI/ML using workflows, enabling users with various backgrounds to conduct AI-centric data science with Google Docs-like collaboration features.
provider YouTube
pricing Free Video
duration 1 hour 1 minute
sessions On-Demand
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Big data analytics and smart rehabilitation

Explore big data analytics and AI applications in rehabilitation medicine, from wearable technologies to personalized interventions for improved patient outcomes in autism, stroke, and back pain treatment.
provider XuetangX
pricing Free Online Course
duration Not Specified
sessions On-Demand
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Data-driven Problem Solving for Data Analysts

Master the complete data analysis workflow, from defining problems to presenting insights, using Excel, Python, and Tableau to deliver actionable recommendations for real-world business challenges.
provider Pluralsight
pricing Free Trial Available
duration 37 minutes
sessions On-Demand
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Databricks Certified Data Analyst: Data Visualization and Dashboarding

Master data visualization in Databricks SQL by creating customized charts, building interactive dashboards, configuring parameters, setting up alerts, and preparing for the Certified Data Analyst Associate exam.
provider Pluralsight
pricing Free Trial Available
duration 1 hour 41 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!