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  • Introduction To Data Science

Results for "introduction to data science"


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    D

    Duke University

    Introduction to Machine Learning

    Skills you'll gain: PyTorch (Machine Learning Library), Logistic Regression, Transfer Learning, Reinforcement Learning, Convolutional Neural Networks, Deep Learning, Image Analysis, Applied Machine Learning, Natural Language Processing, Machine Learning, Recurrent Neural Networks (RNNs), Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging

    4.7
    Rating, 4.7 out of 5 stars
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    3.8K reviews

    Intermediate · Course · 1 - 3 Months

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    U

    University of Colorado Boulder

    Introduction to Data Analytics for Business

    Skills you'll gain: Data Governance, Data Management, Business Analytics, Analytics, Data Quality, Data Ethics, Data Analysis, Business Intelligence, Big Data, Organizational Structure, Data-Driven Decision-Making, Data Access, Relational Databases, SQL, Data Storage, Cloud Computing

    4.7
    Rating, 4.7 out of 5 stars
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    3.2K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    D

    DeepLearning.AI

    Introduction to Data Engineering

    Skills you'll gain: Data Pipelines, Data Architecture, Requirements Analysis, Amazon Web Services, Data Warehousing, Data Processing, System Requirements, Extract, Transform, Load, Performance Tuning, Security Controls, Cloud Computing, Scalability

    4.8
    Rating, 4.8 out of 5 stars
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    472 reviews

    Intermediate · Course · 1 - 4 Weeks

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    P

    Packt

    Data Science Essentials: Analysis, Statistics, and ML

    Skills you'll gain: Plotly, Model Evaluation, NumPy, Plot (Graphics), Dashboard, Statistics, Pandas (Python Package), Data Analysis, Statistical Analysis, Regression Analysis, Data Manipulation, Python Programming, Analytics, Probability & Statistics, Statistical Methods, Applied Machine Learning, Probability, Data Science, Statistical Modeling, Performance Tuning

    4.7
    Rating, 4.7 out of 5 stars
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    26 reviews

    Intermediate · Specialization · 3 - 6 Months

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    Free Trial
    U

    University of Michigan

    NumPy and Pandas Basics for Future Data Scientists

    Skills you'll gain: Debugging, Data Analysis, Data Preprocessing, Numerical Analysis, Critical Thinking

    4
    Rating, 4 out of 5 stars
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    11 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Statistics and Applied Data Analysis

    Skills you'll gain: Statistical Hypothesis Testing, Descriptive Statistics, Statistical Visualization, Data Transformation, Data Cleansing, Statistical Analysis, Regression Analysis, Probability, Probability Distribution, Sampling (Statistics), Box Plots, Histogram, R Programming, Statistical Methods, Scatter Plots, Microsoft Excel, Probability & Statistics, Statistics, Data Import/Export, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
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    46 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    I

    IBM

    Data Science Methodology

    Skills you'll gain: Jupyter, Data Modeling, Model Deployment, Data Science, Data Preprocessing, Data Cleansing, Data Mining, Model Evaluation, Business Analysis, Data Analysis, Business Requirements, Decision Tree Learning, Data Storytelling

    4.6
    Rating, 4.6 out of 5 stars
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    21K reviews

    Beginner · Course · 1 - 4 Weeks

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    U

    University of Pittsburgh

    Statistics and Calculus Methods for Data Analysis

    Skills you'll gain: Statistical Analysis, Statistical Modeling, Predictive Modeling, Data Analysis, Statistics, Integral Calculus, Probability & Statistics, Data Science, Probability Distribution, Calculus, Mathematics and Mathematical Modeling, Applied Mathematics, Derivatives, Mathematical Modeling, Machine Learning, Algorithms

    Build toward a degree

    Beginner · Course · 1 - 4 Weeks

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    A

    Association of International Certified Professional Accountants

    Introduction to Data Analytics for Accounting Professionals

    Skills you'll gain: Data Literacy, Data-Driven Decision-Making, Financial Data, Business Analytics, Data Strategy, Analytical Skills, Project Design, Data Analysis, Business Intelligence, Project Implementation, Unstructured Data, Data Quality

    4.7
    Rating, 4.7 out of 5 stars
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    95 reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Colorado Boulder

    Introduction to Bayesian Statistics for Data Science

    Skills you'll gain: Bayesian Statistics, Statistical Inference, Statistical Modeling, Predictive Analytics, Statistical Methods, Data Ethics, Data Science, Probability, Regression Analysis, Probability Distribution, Calculus

    Intermediate · Course · 1 - 3 Months

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    U

    University of Leeds

    Exploratory Data Analysis

    Skills you'll gain: Exploratory Data Analysis, Data Cleansing, Statistical Methods, Statistical Modeling, Data Visualization, Statistics, R (Software), Data Analysis, Descriptive Statistics, Data Preprocessing, Box Plots, Data Visualization Software, Histogram, Probability, Probability Distribution

    4.6
    Rating, 4.6 out of 5 stars
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    9 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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
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    109 reviews

    Beginner · Specialization · 1 - 3 Months

Searches related to introduction to data science

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

  • Introduction to Machine Learning: Duke University
  • Introduction to Data Analytics for Business: University of Colorado Boulder
  • Introduction to Data Engineering: DeepLearning.AI
  • Data Science Essentials: Analysis, Statistics, and ML: Packt
  • NumPy and Pandas Basics for Future Data Scientists: University of Michigan
  • Statistics and Applied Data Analysis: University of Colorado Boulder
  • Data Science Methodology: IBM
  • Statistics and Calculus Methods for Data Analysis: University of Pittsburgh
  • Introduction to Data Analytics for Accounting Professionals: Association of International Certified Professional Accountants
  • Introduction to Bayesian Statistics for Data Science: University of Colorado Boulder

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