Search result for Courses taught by Dan We
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Description of Data Science Courses
- Data Science is an interdisciplinary field that combines statistics, mathematics, and computer science to extract insights and knowledge from data. It involves using various techniques such as data mining, machine learning, and visualization to analyze complex data sets and make informed decisions.
Common Things Learned
- In Data Science courses, students learn how to collect, clean, and transform data into a usable format, how to analyze data using statistical and machine learning techniques, and how to visualize and communicate their findings. They also learn how to work with big data technologies such as Hadoop and Spark, as well as programming languages like Python and R. Additionally, they learn about ethical considerations and best practices in data science.
Typical Student
- Typical students of Data Science courses are individuals with a background or interest in statistics, mathematics, or computer science. They may be working professionals looking to upskill or transition into a career in data science, or recent graduates seeking to enter the field. Students should have a strong foundation in mathematical concepts and programming languages such as Python or R.
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Azure Machine Learning in the cloud without coding
by Dan We- 4.3
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2.5 hours on-demand video
How to do machine learning experiments in the cloud for free without coding. Azure machine learning for beginners Machine Learning and AI (Artificial Intelligence) and Cloud Computing (Azure, AWS, Google Cloud,. . . ) have become Buzzwords in the media. And there are good reasons for this. The big question is how?...
$9.99
Introduction to tensorflow 2
by Dan We- 4
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2 hours on-demand video
How to start deep learning with tensorflow 2 - machine learning in the cloud with google colab Introduction to tensorflow 2. In this course you will learn how to use tensorflow 2. 0 to create neural networks. We will first take a quick review on the former tensorflow 1. x syntax and then start diving into the new tensorflow 2....
$9.99
Data science and Data preparation with KNIME
by Dan We- 4.7
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3 hours on-demand video
KNIME - a powerful tool for data science and machine learning Data science with higher efficiency. KNIME data cleaning Data science and Data cleaning and Data preparation with KNIME Hello everyone hope you are doing fine. Let’s face it. So many people ask: How can we speed up the process and be more efficient?...
$12.99
machine learning for beginners - neural networks
by Dan We- 4.3
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4 hours on-demand video
Create you first neural networks in python - a hands on guide for beginners What is machine learning / ai ? How to lean machine learning in practice? machine learning / ai (artificial intelligence) and neural networks (often referred to as deep learning) are one of the hottest topics in this century - for good reasons....
$12.99
Deploying machine learning models with flask for beginners
by Dan We- 4.4
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2.5 hours on-demand video
How to deploy a machine learning model. How to create an API for machine learning. #machinelearning, #datascience About this course Let's dive into data science with python and learn how we can create our own API (Application Programming Interface) where we can send data to and let our model return a prediction....
$11.99
neural networks for autoencoders and recommender systems
by Dan We- 4.1
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2 hours on-demand video
How to build autoencoders and recommender systems with neural networks. Machine learning hands on data science class Let's dive into data science with python and learn how to build recommender systems and autoencoders in keras machine learning / ai ? How to learn machine learning in python? What are autoencoders? And that's exactly what we do....
$12.99
neural networks for sentiment and stock price prediction
by Dan We- 4
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2.5 hours on-demand video
How to predict stock prices with neural networks and sentiment with neural networks. Machine learning hands on data scie Let's dive into data science with python and predict stock prices and customer sentiment. machine learning / ai ? How to learn machine learning in python? And what is transfer learning ? How to use it ?...
$12.99
A crash course in neural networks for beginners
by Dan We- 4.1
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3 hours on-demand video
The beginner's guide to learn neural networks from scratch What is machine learning / ai ? How to learn machine learning in practice? machine learning / ai (artificial intelligence) is the hottest topic in this century - for good reasons. Diving into this topic can not only immensly improve your career opportunities but also your job satisfaction!"...
$11.99
Top Online Courses and Specializations | Coursera
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Find Courses and Specializations from top universities like Yale, Michigan, Stanford, and leading companies like Google and IBM. Join Coursera for free and transform your career with degrees, certificates, Specializations, & MOOCs in data science, computer science, business, and dozens of other topics....
Coursera | Online Courses & Credentials From Top Educators. Join for Free
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Learn online and earn valuable credentials from top universities like Yale, Michigan, Stanford, and leading companies like Google and IBM. Join Coursera for free and transform your career with degrees, certificates, Specializations, & MOOCs in data science, computer science, business, and dozens of other topics....
Course Definition & Meaning - Merriam-Webster
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course: [noun] the act or action of moving in a path from point to point....
Time
- To get the fundamentals of Data Science, it may take around 3-6 months of dedicated study. However, becoming well adept in this topic may take several years of continuous learning and real-world experience. The time required also depends on the student's prior knowledge and experience in related fields such as statistics and computer science.
Courses
Data Science courses build upon foundational concepts in statistics, mathematics, and programming. They provide practical knowledge on how to collect, analyze, and interpret data using various techniques and tools. After completing Data Science courses, students may move on to more advanced topics such as machine learning, natural language processing, or deep learning.
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Fields
Data Science is used in various fields such as finance, healthcare, marketing, and social media. In finance, it is used for risk management, fraud detection, and algorithmic trading. In healthcare, it is used for disease diagnosis, drug discovery, and personalized medicine. In marketing, it is used for customer segmentation, market analysis, and recommendation engines. In social media, it is used for sentiment analysis, network analysis, and content recommendation.
- Related Fields
Careers
Data Science is needed in various specific careers such as data analyst, data scientist, business analyst, and machine learning engineer. These professionals are responsible for collecting, analyzing, and interpreting data to make informed decisions and improve business outcomes. They work in various industries such as finance, healthcare, retail, and technology.
- Examples of Common Careers
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- Data Analyst
- Data Scientist
- Business Analyst
- Machine Learning Engineer
