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  • Numpy

NumPy Courses

NumPy courrses often teach array manipulation, mathematical functions, and data analysis techniques. You can build skills in performing complex calculations, handling large datasets, and optimizing performance for numerical operations. Many courses introduce tools like Jupyter Notebooks and Python libraries, showing how these skills are applied in data science, machine learning, and artificial intelligence projects.


Popular NumPy Courses and Certifications


  • Status: Free Trial
    Free Trial
    D

    Databricks

    Introduction to Computational Statistics for Data Scientists

    Skills you'll gain: Bayesian Statistics, Databricks, Sampling (Statistics), Statistical Modeling, Probability, Applied Machine Learning, Jupyter, Regression Analysis, Statistical Programming, Predictive Modeling, Statistical Analysis, Model Evaluation, Probability Distribution, Data Science, Logistic Regression, Markov Model, Statistics, Statistical Methods, Simulations, Python Programming

    4
    Rating, 4 out of 5 stars
    ·
    109 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Preview
    Preview
    O

    O.P. Jindal Global University

    Machine Learning

    Skills you'll gain: Model Evaluation, Supervised Learning, Scikit Learn (Machine Learning Library), Tensorflow, Applied Machine Learning, Artificial Neural Networks, Python Programming, NumPy, Matplotlib, Deep Learning, Image Analysis, Machine Learning, Embeddings, Pandas (Python Package), Convolutional Neural Networks, Natural Language Processing, Regression Analysis

    Build toward a degree

    3.6
    Rating, 3.6 out of 5 stars
    ·
    7 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Codio

    Select Topics in Python: Matplotlib

    Skills you'll gain: Matplotlib, Plot (Graphics), Data Visualization Software, Jupyter, Interactive Data Visualization, Scatter Plots, Histogram, Box Plots, Animations, Python Programming

    3.3
    Rating, 3.3 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Mastering Data Analysis with Pandas: Learning Path Part 2

    Skills you'll gain: Pandas (Python Package), Data Analysis, Data Manipulation, Data Wrangling, NumPy, Python Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    29 reviews

    Beginner · Guided Project · Less Than 2 Hours

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

    University of Pittsburgh

    Mathematical Foundations for Data Science and Analytics

    Skills you'll gain: Statistical Analysis, NumPy, Probability Distribution, Matplotlib, Statistics, Pandas (Python Package), Data Science, Probability & Statistics, Probability, Statistical Modeling, Predictive Modeling, Data Analysis, Linear Algebra, Predictive Analytics, Statistical Methods, Mathematics and Mathematical Modeling, Applied Mathematics, Python Programming, Machine Learning, Logical Reasoning

    Build toward a degree

    Beginner · Specialization · 1 - 3 Months

  • C

    Coursera

    Plots Creation using Matplotlib Python

    Skills you'll gain: Matplotlib, Box Plots, Plot (Graphics), Seaborn, Data Visualization, Data Visualization Software, Pandas (Python Package), Scatter Plots, Data Import/Export, Histogram, Python Programming, Data Manipulation, Data Analysis, Data Structures

    3.9
    Rating, 3.9 out of 5 stars
    ·
    9 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: Data Analysis and Hypothesis Testing

    Skills you'll gain: Data Visualization, Exploratory Data Analysis, Data Presentation, Probability Distribution, Statistical Hypothesis Testing, Dashboard, Data Analysis, Data Science, Probability & Statistics, Statistical Analysis, Jupyter, Matplotlib, Data Preprocessing, Data Cleansing, Pandas (Python Package), Statistical Inference, Statistics, Data Manipulation, Python Programming, Machine Learning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    127 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    신경망 및 딥 러닝

    Skills you'll gain: Deep Learning, Artificial Neural Networks, Convolutional Neural Networks, Supervised Learning, Applied Machine Learning, Computer Vision, Recurrent Neural Networks (RNNs), Machine Learning, NumPy, Performance Tuning, Linear Algebra

    5
    Rating, 5 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    AI for Scientific Research

    Skills you'll gain: Data Preprocessing, Feature Engineering, Model Evaluation, Bioinformatics, Exploratory Data Analysis, Random Forest Algorithm, Pandas (Python Package), Scikit Learn (Machine Learning Library), Applied Machine Learning, Data Manipulation, Dimensionality Reduction, Data Cleansing, Keras (Neural Network Library), Data Transformation, NumPy, Classification Algorithms, Tensorflow, Artificial Neural Networks, Machine Learning, Data Science

    3.2
    Rating, 3.2 out of 5 stars
    ·
    82 reviews

    Beginner · Specialization · 3 - 6 Months

  • C

    Coursera

    Master Data Analysis with Pandas: Learning Path 1 (Enhanced)

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

    4.6
    Rating, 4.6 out of 5 stars
    ·
    28 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Python for Data Analytics

    Skills you'll gain: Pandas (Python Package), Data Visualization, Time Series Analysis and Forecasting, Matplotlib, Data Visualization Software, Statistical Inference, Statistical Analysis, Seaborn, Exploratory Data Analysis, Descriptive Statistics, NumPy, Data Manipulation, Programming Principles, Python Programming, Regression Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    21 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: Machine Learning, Visual Recognition and NLP

    Skills you'll gain: Model Evaluation, Tensorflow, Supervised Learning, Artificial Neural Networks, Regression Analysis, Machine Learning Methods, Applied Machine Learning, Machine Learning Algorithms, Deep Learning, Image Analysis, Machine Learning, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Convolutional Neural Networks, Computer Vision, Data Science, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    90 reviews

    Advanced · Course · 1 - 4 Weeks

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1…131415…21

In summary, here are 10 of our most popular numpy courses

  • Introduction to Computational Statistics for Data Scientists: Databricks
  • Machine Learning: O.P. Jindal Global University
  • Select Topics in Python: Matplotlib: Codio
  • Mastering Data Analysis with Pandas: Learning Path Part 2: Coursera
  • Mathematical Foundations for Data Science and Analytics: University of Pittsburgh
  • Plots Creation using Matplotlib Python: Coursera
  • AI Workflow: Data Analysis and Hypothesis Testing: IBM
  • 신경망 및 딥 러닝: DeepLearning.AI
  • AI for Scientific Research: LearnQuest
  • Master Data Analysis with Pandas: Learning Path 1 (Enhanced): Coursera

Skills you can learn in Data Analysis

Analytics (85)
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Python Programming (47)
Business Analytics (40)
R Programming (37)
Statistical Analysis (36)
Sql (33)
Data Model (29)
Data Mining (27)
Exploratory Data Analysis (26)
Data Modeling (21)
Data Manipulation (20)

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