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Results for "basic "


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    Northeastern University

    Foundations for Data Analytics Part 1

    Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Data Structures, Time Series Analysis and Forecasting, Pandas (Python Package), Unsupervised Learning, Data Analysis, Data Manipulation, Descriptive Statistics, Data Processing, Data Cleansing, Programming Principles, Data Visualization, Python Programming, Algorithms

    Beginner · Course · 1 - 3 Months

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    University of Pittsburgh

    Probability Theory and Regression for Predictive Analytics

    Skills you'll gain: Probability Distribution, Data Science, Probability & Statistics, Predictive Analytics, Probability, Statistical Modeling, Data Analysis, Regression Analysis, Statistical Analysis, Statistical Methods, Statistical Machine Learning, Bayesian Statistics, Statistical Inference, Feature Engineering, Applied Mathematics, Python Programming, Machine Learning, Algorithms

    Build toward a degree

    Beginner · Course · 1 - 4 Weeks

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    EDUCBA

    Octave for Machine Learning: Data Analysis Mastery

    Skills you'll gain: Plot (Graphics), Scripting, Scientific Visualization, Visualization (Computer Graphics), Graphing, Scripting Languages, Scalability, Text Mining, Statistical Analysis, Time Series Analysis and Forecasting, Data Visualization, Descriptive Statistics, Mathematical Software, Software Installation, Numerical Analysis, Mathematical Modeling, Predictive Modeling, Programming Principles, Python Programming, Data Analysis

    Beginner · Specialization · 1 - 3 Months

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    EDUCBA

    Seaborn Python Data Visualization & Analysis

    Skills you'll gain: Seaborn, Data Literacy, Plot (Graphics), Matplotlib, Scatter Plots, Statistical Visualization, Data Presentation, Data Visualization Software, Data Visualization, Box Plots, Exploratory Data Analysis, Data Storytelling, Data Processing, Data-Driven Decision-Making, Statistical Modeling, Statistical Analysis, Descriptive Statistics, Pandas (Python Package), NumPy, Python Programming

    Beginner · Specialization · 1 - 3 Months

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    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

    Skills you'll gain: Exploratory Data Analysis, Predictive Modeling, Statistical Modeling, Matplotlib, A/B Testing, Box Plots, Sampling (Statistics), Predictive Analytics, Data Analysis, Regression Analysis, Statistical Inference, Data Visualization, Descriptive Statistics, Scikit Learn (Machine Learning Library), Data Science, Estimation, Statistical Analysis, NumPy, Machine Learning, Python Programming

    Beginner · Specialization · 1 - 4 Weeks

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    Coursera

    Explore and Visualize Data the Python Way

    Skills you'll gain: Data Storytelling, Data Presentation, Plotly, Matplotlib, Exploratory Data Analysis, Plot (Graphics), Data Visualization, Interactive Data Visualization, Data Visualization Software, Statistical Visualization, Seaborn, Data Analysis, Box Plots, Descriptive Statistics, Jupyter, Data Science, Anomaly Detection, Python Programming, GitHub

    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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    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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    D

    Duke University

    Rust Fundamentals

    Skills you'll gain: Rust (Programming Language), Development Testing, Software Testing, Data Structures, Debugging, GitHub, Programming Principles, Package and Software Management, Integrated Development Environments, Secure Coding, System Programming

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    Rating, 4 out of 5 stars
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    205 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Fundamentals of Database Systems

    Skills you'll gain: Information Systems, Database Software, Database Systems, Database Design, Information Management, Data Modeling, Databases, Relational Databases, Database Management, Data Management

    4.3
    Rating, 4.3 out of 5 stars
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    32 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
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    M

    Microsoft

    Data Visualization Fundamentals

    Skills you'll gain: Data Storytelling, Data Presentation, Power BI, Data Visualization Software, Data Visualization, Interactive Data Visualization, Statistical Visualization, Dashboard, Data-Driven Decision-Making, Business Intelligence, Pivot Tables And Charts, Data Analysis, Scatter Plots, Histogram

    4.7
    Rating, 4.7 out of 5 stars
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    89 reviews

    Beginner · Course · 1 - 4 Weeks

Searches related to basic

basic statistics
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1…53545556

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

  • Foundations for Data Analytics Part 1: Northeastern University
  • Probability Theory and Regression for Predictive Analytics: University of Pittsburgh
  • Octave for Machine Learning: Data Analysis Mastery: EDUCBA
  • Seaborn Python Data Visualization & Analysis: EDUCBA
  • Data Science Fundamentals Part 1: Unit 2: Pearson
  • Data Science Fundamentals, Part 2: Pearson
  • Explore and Visualize Data the Python Way: Coursera
  • Data Science Fundamentals Part 2: Unit 1: Pearson
  • Data Science Fundamentals Part 2: Unit 2: Pearson
  • Rust Fundamentals: Duke University

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