Search result for Applied data science with python specialization Online Courses & Certifications
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Python for Data Science, AI & Development
by Joseph Santarcangelo- 4.6
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Approx. 17 hours to complete
Kickstart your learning of Python for data science, as well as programming in general, with this beginner-friendly introduction to Python. Applied Data Science Specialization Python Data Structures Working with Data in Python Loading Data with Pandas Pandas: Working with and Saving Data Learn about Python fundamentals, Python data structures, and working with data in Python...
Introduction to Data Science in Python
by Christopher Brooks- 4.5
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Approx. 31 hours to complete
This course should be taken before any of the other Applied Data Science with Python courses: Applied Plotting, Charting & Data Representation in Python, Applied Machine Learning in Python, Applied Text Mining in Python, Applied Social Network Analysis in Python. Fundamentals of Data Manipulation with Python Describe common Python functionality and features used for data science...
Applied Plotting, Charting & Data Representation in Python
by Christopher Brooks- 4.5
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Approx. 20 hours to complete
The course will end with a discussion of other forms of structuring and visualizing data. This course should be taken after Introduction to Data Science in Python and before the remainder of the Applied Data Science with Python courses: Applied Machine Learning in Python, Applied Text Mining in Python, and Applied Social Network Analysis in Python. Basic Plotting with Matplotlib...
AI Workflow: Business Priorities and Data Ingestion
by Mark J Grover , Ray Lopez, Ph.D.- 4.3
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Approx. 8 hours to complete
Specifically, the courses in this specialization are meant for practicing data scientists who are knowledgeable about probability, statistics, linear algebra, and Python tooling for data science and machine learning. Know the advantages of carrying out data science using a structured process Data Science Process Models Data Science Workflow Combined with Design Thinking...
Analyze Datasets and Train ML Models using AutoML
by Antje Barth , Shelbee Eigenbrode , Sireesha Muppala , Chris Fregly- 4.6
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Approx. 14 hours to complete
In the first course of the Practical Data Science Specialization, you will learn foundational concepts for exploratory data analysis (EDA), automated machine learning (AutoML), and text classification algorithms. The Practical Data Science Specialization helps you develop the practical skills to effectively deploy your data science projects and overcome challenges at each step of the ML workflow using Amazon SageMaker....
Build, Train, and Deploy ML Pipelines using BERT
by Antje Barth , Shelbee Eigenbrode , Sireesha Muppala , Chris Fregly- 4.7
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Approx. 10 hours to complete
In the second course of the Practical Data Science Specialization, you will learn to automate a natural language processing task by building an end-to-end machine learning pipeline using Hugging Face’s highly-optimized implementation of the state-of-the-art BERT algorithm with Amazon SageMaker Pipelines. Feature Engineering: At scale with Amazon SageMaker Processing Jobs Train a custom model with Amazon SageMaker...
Optimizing Machine Learning Performance
by Anna Koop- 4.6
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Approx. 12 hours to complete
This course synthesizes everything your have learned in the applied machine learning specialization. You will understand and analyze how to deal with changing data. This is the final course of the Applied Machine Learning Specialization brought to you by Coursera and the Alberta Machine Intelligence Institute (Amii)....
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Applied Machine Learning in Python
by Kevyn Collins-Thompson- 4.6
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Approx. 34 hours to complete
This course will introduce the learner to applied machine learning, focusing more on the techniques and methods than on the statistics behind these methods. This course should be taken after Introduction to Data Science in Python and Applied Plotting, Charting & Data Representation in Python and before Applied Text Mining in Python and Applied Social Analysis in Python....
Data Science with Python 3.x
by Packt Publishing- 3.9
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13.5 hours on-demand video
Gain useful insights from data by performing popular data science techniques using Python libraries He completed his Master's degree in Computer Science from IIT Delhi, with a specialization in data engineering. He has been programming in Python for more than 12 years and has been using Python for data analytics and data science for 6 years....
$9.99
Scalable Machine Learning on Big Data using Apache Spark
by Romeo Kienzler- 3.8
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Approx. 7 hours to complete
This course will empower you with the skills to scale data science and machine learning (ML) tasks on Big Data sets using Apache Spark. Enrol now to learn the machine learning techniques for working with Big Data that have been successfully applied by companies like Alibaba, Apple, Amazon, Baidu, eBay, IBM, NASA, Samsung, SAP, TripAdvisor, Yahoo!, Zalando and many others....
