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Results for "ibm data science"


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    M

    MathWorks

    Data Science Project: MATLAB for the Real World

    Skills you'll gain: Data Storytelling, Model Evaluation, Feature Engineering, Exploratory Data Analysis, Data Science, Machine Learning, Data Analysis, Data Preprocessing, Matlab, Technical Communication, Predictive Modeling, Data Manipulation, Data Import/Export

    4.7
    Rating, 4.7 out of 5 stars
    ·
    25 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    U

    University of Pittsburgh

    Linear Algebra and Regression Fundamentals for Data Science

    Skills you'll gain: NumPy, Matplotlib, Linear Algebra, Pandas (Python Package), Data Manipulation, Applied Mathematics, Data Visualization, Python Programming, Data Analysis, Data Science, Regression Analysis, Data Visualization Software, Mathematics and Mathematical Modeling, Probability & Statistics, Statistics, Numerical Analysis, Mathematical Modeling, Machine Learning, Computational Logic, Logical Reasoning

    Build toward a degree

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    I

    IBM

    IBM z/OS Rexx Programming

    Skills you'll gain: Debugging, z/OS, Job Control Language (JCL), IBM Cloud, Mainframe Computing, Scripting Languages, Computer Programming, Program Development, File I/O, Data Structures, Command-Line Interface, Application Development

    4.4
    Rating, 4.4 out of 5 stars
    ·
    25 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Data Modeling in Power BI

    Skills you'll gain: Data Analysis Expressions (DAX), Data Modeling, Star Schema, Power BI, Database Design, Data Warehousing, Business Intelligence, Data Analysis, Time Series Analysis and Forecasting, Performance Tuning, Data Visualization

    4.3
    Rating, 4.3 out of 5 stars
    ·
    799 reviews

    Beginner · Course · 1 - 4 Weeks

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

    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

  • Status: Preview
    Preview
    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
    ·
    734 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    P

    Packt

    Data Structures and Algorithms: The Complete Masterclass

    Skills you'll gain: Data Structures, Algorithms, Graph Theory, Programming Principles, Theoretical Computer Science, Computer Science, Computer Programming, Python Programming, Pandas (Python Package), Machine Learning Algorithms, Computational Thinking, C++ (Programming Language), Data Architecture, Random Forest Algorithm, Performance Tuning, Object Oriented Programming (OOP), Network Analysis, Program Development, Problem Solving, Debugging

    4.5
    Rating, 4.5 out of 5 stars
    ·
    37 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    C

    Codio

    C++: Data Structures and Algorithms

    Skills you'll gain: Computational Thinking, Algorithms, Graph Theory, Data Structures, C++ (Programming Language), C and C++, Programming Principles, Computer Programming, Object Oriented Programming (OOP), Technical Design, Theoretical Computer Science

    4.6
    Rating, 4.6 out of 5 stars
    ·
    16 reviews

    Intermediate · Specialization · 1 - 3 Months

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

    Pearson

    Data Science Fundamentals Part 2: Unit 3

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

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google

    Get Started with Python

    Skills you'll gain: Object Oriented Programming (OOP), Data Structures, Python Programming, NumPy, Pandas (Python Package), Data Analysis, Scripting, Data Manipulation, Data Visualization, Algorithms, Debugging

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.8K reviews

    Advanced · Course · 1 - 3 Months

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

    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
    Free Trial
    D

    Duke University

    Programming for Python Data Science: Principles to Practice

    Skills you'll gain: Matplotlib, Pandas (Python Package), NumPy, Data Visualization, Data Cleansing, Data Structures, Data Visualization Software, Predictive Analytics, Debugging, Object Oriented Programming (OOP), Data Manipulation, Regression Analysis, Python Programming, Data Science, Algorithms, Simulations, Exploratory Data Analysis, Data Preprocessing, Predictive Modeling, Data Analysis

    4
    Rating, 4 out of 5 stars
    ·
    93 reviews

    Beginner · Specialization · 3 - 6 Months

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

  • Data Science Project: MATLAB for the Real World: MathWorks
  • Linear Algebra and Regression Fundamentals for Data Science: University of Pittsburgh
  • IBM z/OS Rexx Programming: IBM
  • Data Modeling in Power BI: Microsoft
  • Data Science Fundamentals Part 2: Unit 1: Pearson
  • Foundations of Data Science: K-Means Clustering in Python: University of London
  • Data Structures and Algorithms: The Complete Masterclass: Packt
  • C++: Data Structures and Algorithms: Codio
  • Data Science Fundamentals Part 2: Unit 3: Pearson
  • Get Started with Python: Google

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