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  • Introduction To Data Science

Results for "introduction to data science"


  • Status: New
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    P

    Pearson

    Data Science Fundamentals Part 1: Unit 2

    Skills you'll gain: Extract, Transform, Load, Data Transformation, Data Integration, Web Scraping, Data Pipelines, JSON, Object Oriented Programming (OOP), Extensible Markup Language (XML), Data Modeling, Application Programming Interface (API), Relational Databases

    Beginner · Course · 1 - 4 Weeks

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    Pearson

    Data Science Fundamentals Part 2: Unit 3

    Skills you'll gain: Predictive Modeling, Statistical Modeling, Predictive Analytics, Regression Analysis, Scikit Learn (Machine Learning Library), Probability & Statistics, Statistical Inference, Business Analytics, Data Analysis, Statistical Analysis, Probability Distribution, Estimation, Supervised Learning, Machine Learning, Performance Metric

    Beginner · Course · 1 - 4 Weeks

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    Pearson

    Data Science Fundamentals Part 2: Unit 1

    Skills you'll gain: Exploratory Data Analysis, Matplotlib, Box Plots, Data Analysis, Data Visualization, Descriptive Statistics, Scatter Plots, Data Visualization Software, Histogram, Seaborn, Statistical Analysis, Correlation Analysis, Statistical Methods

    Beginner · Course · 1 - 4 Weeks

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    Packt

    Data Science Essentials: Analysis, Statistics, and ML

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

    4.7
    Rating, 4.7 out of 5 stars
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    16 reviews

    Intermediate · Specialization · 3 - 6 Months

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    Pearson

    Data Science Fundamentals Part 1: Unit 1

    Skills you'll gain: Applied Machine Learning, Data Science, Python Programming, Scikit Learn (Machine Learning Library), NumPy, Computational Thinking, Machine Learning Algorithms, Pandas (Python Package), Machine Learning, Data Analysis, Exploratory Data Analysis, Programming Principles, Data Manipulation

    Beginner · Course · 1 - 4 Weeks

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    Pearson

    Data Science Fundamentals Part 1: Unit 3

    Skills you'll gain: Data Validation, Extract, Transform, Load, Object-Relational Mapping, Data Cleansing, Data Manipulation, Data Quality, Data Pipelines, Pandas (Python Package), Descriptive Statistics, Database Management, Data Transformation, Data Integrity, Relational Databases, Exploratory Data Analysis, Databases, Data Processing, SQL, Data Analysis, Data Storage Technologies

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    Pearson

    Data Science Fundamentals Part 2: Unit 2

    Skills you'll gain: A/B Testing, Sampling (Statistics), Statistical Inference, Estimation, Statistical Analysis, Analytics, Probability & Statistics, Data Analysis, Correlation Analysis, Descriptive Statistics

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    LearnQuest

    Fundamentals of Data Analysis

    Skills you'll gain: Data Analysis, Analytics, Statistical Analysis, Data Mining, Spreadsheet Software, Exploratory Data Analysis, Descriptive Analytics, Quantitative Research, Data Processing, Data Cleansing, Data Collection, Statistics, R (Software), Predictive Analytics, Query Languages, Data Visualization, Data Visualization Software, SQL

    3.7
    Rating, 3.7 out of 5 stars
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    32 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
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    Illinois Tech

    Introduction to Time Series

    Skills you'll gain: Time Series Analysis and Forecasting, Statistical Reporting, Forecasting, R Programming, Statistical Analysis, Statistical Modeling, Statistical Software, Statistical Methods, Data Analysis, Regression Analysis, Exploratory Data Analysis, Correlation Analysis, Statistical Hypothesis Testing, Plot (Graphics)

    4
    Rating, 4 out of 5 stars
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    7 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    Databricks

    Introduction to Computational Statistics for Data Scientists

    Skills you'll gain: Bayesian Statistics, Databricks, Sampling (Statistics), Statistical Modeling, Probability, Classification And Regression Tree (CART), Jupyter, Regression Analysis, Statistical Programming, Predictive Modeling, Statistical Analysis, Probability Distribution, Data Science, Markov Model, Statistics, Simulations, Python Programming, Statistical Visualization, Mathematical Software, Statistical Inference

    4
    Rating, 4 out of 5 stars
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    109 reviews

    Beginner · Specialization · 1 - 3 Months

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    U

    University of Colorado Boulder

    Introduction to Python for Scientific Computing

    Skills you'll gain: Scientific Visualization, NumPy, Data Visualization, Debugging, Matplotlib, Numerical Analysis, Engineering Calculations, Integrated Development Environments, Computational Thinking, Engineering Analysis, Programming Principles, Jupyter, Data Analysis, Computer Programming

    4.9
    Rating, 4.9 out of 5 stars
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    13 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California, Irvine

    Intro to Analytic Thinking, Data Science, and Data Mining

    Skills you'll gain: Analytical Skills, Data Ethics, Data Mining, Data Strategy, Data Science, Business Analytics, Data Analysis, Big Data, Analytics, Business Intelligence, Descriptive Analytics, Predictive Analytics, Data Processing, Small Data

    4.2
    Rating, 4.2 out of 5 stars
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    155 reviews

    Intermediate · Course · 1 - 4 Weeks

Searches related to introduction to data science

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1…567…834

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

  • Data Science Fundamentals Part 1: Unit 2: Pearson
  • Data Science Fundamentals Part 2: Unit 3: Pearson
  • Data Science Fundamentals Part 2: Unit 1: Pearson
  • Data Science Essentials: Analysis, Statistics, and ML: Packt
  • Data Science Fundamentals Part 1: Unit 1: Pearson
  • Data Science Fundamentals Part 1: Unit 3: Pearson
  • Data Science Fundamentals Part 2: Unit 2: Pearson
  • Fundamentals of Data Analysis: LearnQuest
  • Introduction to Time Series: Illinois Tech
  • Introduction to Computational Statistics for Data Scientists: Databricks

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