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    Results for "introduction to data science in python"

    • Status: New
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      O

      O.P. Jindal Global University

      Machine Learning

      Skills you'll gain: Tensorflow, Supervised Learning, Scikit Learn (Machine Learning Library), Applied Machine Learning, Python Programming, NumPy, Artificial Neural Networks, Deep Learning, Image Analysis, Matplotlib, Unstructured Data, Predictive Modeling, Machine Learning, Natural Language Processing, Pandas (Python Package), Computer Vision, Feature Engineering, Text Mining, Regression Analysis, Performance Tuning

      Build toward a degree

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Michigan

      Applied Unsupervised Learning in Python

      Skills you'll gain: Unsupervised Learning, Anomaly Detection, Supervised Learning, Python Programming, Exploratory Data Analysis

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      C

      Codio

      Data Analysis in Python

      Skills you'll gain: Matplotlib, Statistical Hypothesis Testing, Data Analysis, Data Import/Export, Data Cleansing, Probability & Statistics, Data Manipulation, Statistics, Descriptive Statistics, Pandas (Python Package), Data Science, Python Programming, Programming Principles, Scripting, Computational Logic

      Mixed · Course · 1 - 3 Months

    • Status: Preview
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      B

      Ball State University

      Introduction to Programming

      Skills you'll gain: Data Analysis, Programming Principles, Statistical Analysis, Computer Programming, Python Programming, Natural Language Processing, Scripting, NumPy, Algorithms, Debugging, Data Structures

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      29 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Data Visualization and Modeling in Python

      Skills you'll gain: Matplotlib, Data Visualization, Predictive Modeling, Scientific Visualization, Pandas (Python Package), Data Visualization Software, Predictive Analytics, Data Manipulation, Regression Analysis, Data Analysis, Data Cleansing, Data Science, Machine Learning Algorithms, Statistical Inference, Statistics, Probability & Statistics, Python Programming

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Python for Data Analysis: Pandas & NumPy

      Skills you'll gain: Pandas (Python Package), NumPy, Data Analysis, Data Science, Python Programming, Data Structures, Exploratory Data Analysis, Data Manipulation, Computer Programming

      4.5
      Rating, 4.5 out of 5 stars
      ·
      363 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Preview
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      U

      University of London

      Foundations of Data Science: K-Means Clustering in Python

      Skills you'll gain: Data Visualization, Matplotlib, Probability & Statistics, Data Science, Unsupervised Learning, Statistics, NumPy, Python Programming, Pandas (Python Package), Data Analysis, Machine Learning Algorithms, Descriptive Statistics, Machine Learning, Data Manipulation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      730 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Data Science with NumPy, Sets, and Dictionaries

      Skills you'll gain: NumPy, Data Structures, Data Analysis, Object Oriented Programming (OOP), Image Analysis, Data Science, Data Wrangling, Data Manipulation, Big Data, Performance Tuning, Python Programming

      3.9
      Rating, 3.9 out of 5 stars
      ·
      19 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
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      C

      Coursera

      Python for Data Science (and Version Control with GitHub)

      Skills you'll gain: A/B Testing, Pandas (Python Package), Matplotlib, Plotly, Data Visualization, Statistical Methods, GitHub, Data Manipulation, Statistical Hypothesis Testing, Version Control, Statistical Analysis, Data Science, Interactive Data Visualization, Python Programming, NumPy, Data Analysis, Git (Version Control System), Jupyter, Data Transformation, Programming Principles

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      NumPy, Matplotlib & Pandas – Data Science Prerequisites

      Skills you'll gain: NumPy, Pandas (Python Package), Data Manipulation, Scatter Plots, Jupyter, Data Visualization Software, Machine Learning, Data Science, Data Import/Export, Classification And Regression Tree (CART), Linear Algebra, Probability Distribution, Regression Analysis

      Beginner · Course · 1 - 3 Months

    • Status: Preview
      Preview
      B

      Ball State University

      Introduction to Data Science

      Skills you'll gain: Data Ethics, Data Collection, Probability & Statistics, Data Literacy, Sampling (Statistics), Data Science, R Programming, Statistical Methods, Data Structures, Data Integrity, Information Privacy, Informed Consent, Ethical Standards And Conduct, Algorithms

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Capstone: Retrieving, Processing, and Visualizing Data with Python

      Skills you'll gain: Data Processing, Data Visualization, Data Cleansing, Data Collection, Data Visualization Software, Data Manipulation, Python Programming, Exploratory Data Analysis, Algorithms, Data Analysis, Web Scraping, Database Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      14K reviews

      Beginner · Course · 1 - 3 Months

    Searches related to introduction to data science in python

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    In summary, here are 10 of our most popular introduction to data science in python courses

    • Machine Learning: O.P. Jindal Global University
    • Applied Unsupervised Learning in Python: University of Michigan
    • Data Analysis in Python: Codio
    • Introduction to Programming: Ball State University
    • Data Visualization and Modeling in Python: Duke University
    • Python for Data Analysis: Pandas & NumPy: Coursera Project Network
    • Foundations of Data Science: K-Means Clustering in Python: University of London
    • Data Science with NumPy, Sets, and Dictionaries: Duke University
    • Python for Data Science (and Version Control with GitHub): Coursera
    • NumPy, Matplotlib & Pandas – Data Science Prerequisites: Packt

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