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  • Applied Data Science

Applied Data Science Courses

Applied Data Science courses can help you learn data analysis, statistical modeling, machine learning, and data visualization techniques. You can build skills in data cleaning, exploratory data analysis, and predictive analytics to derive insights from complex datasets. Many courses introduce tools like Python, R, and SQL, along with libraries such as Pandas and Scikit-learn, that support implementing data-driven solutions and automating processes in real-world applications.


Popular Applied Data Science Courses and Certifications


  • Status: Free Trial
    Free Trial
    E

    Edureka

    Python and Statistics Foundations

    Skills you'll gain: Matplotlib, Data Visualization, Probability & Statistics, Plotly, Statistical Analysis, Data Visualization Software, Statistical Hypothesis Testing, Seaborn, Data Science, Programming Principles, Pandas (Python Package), Statistics, Descriptive Statistics, Data Analysis, NumPy, Probability Distribution, Exploratory Data Analysis, Python Programming

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    N

    Northeastern University

    Basic Programming in Python I

    Skills you'll gain: Object Oriented Programming (OOP), Python Programming, Computer Programming, Development Environment, Scripting, Scripting Languages, Debugging, Web Applications, Algorithms, Data Manipulation

    4.3
    Rating, 4.3 out of 5 stars
    ·
    8 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    Universidad de los Andes

    Algoritmos de negociación basados en machine learning​

    Skills you'll gain: Technical Analysis, Financial Trading, Financial Market, Capital Markets, Market Trend, Investments, Securities Trading, Applied Machine Learning, Performance Analysis, Return On Investment, Financial Analysis, Machine Learning Algorithms, Machine Learning, Trend Analysis, Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    38 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Création de chaînes en Python

    Skills you'll gain: Python Programming, Scripting, Scripting Languages, Programming Principles, Computer Programming, Data Access, Data Science

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    A Complete Reinforcement Learning System (Capstone)

    Skills you'll gain: Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Simulations, Performance Testing, Artificial Neural Networks, Machine Learning, Machine Learning Algorithms, Markov Model, Algorithms, Performance Tuning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    648 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Building Statistical Models in R: Linear Regression

    Skills you'll gain: Exploratory Data Analysis, Statistical Modeling, Regression Analysis, Data Visualization, Data Analysis, Statistical Methods, R Programming, Statistical Analysis, Plot (Graphics), Predictive Modeling, Ggplot2

    4.7
    Rating, 4.7 out of 5 stars
    ·
    20 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free
    Free
    C

    Coursera

    Machine Learning with PySpark: Recommender System

    Skills you'll gain: PySpark, Data Pipelines, Data Processing, AI Personalization, Dimensionality Reduction, OpenAI, Data Manipulation, Pandas (Python Package), Data Transformation, Unsupervised Learning, Applied Machine Learning, Machine Learning

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Statistics with Python Using NumPy, Pandas, and SciPy

    Skills you'll gain: Statistics, Data Analysis, Descriptive Statistics, Data-oriented programming, Python Programming

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    F

    Fred Hutchinson Cancer Center

    Researcher's guide to omic fundamentals

    Skills you'll gain: Bioinformatics, Molecular Biology, Data Processing, Data Analysis, Data Literacy, Exploratory Data Analysis, Metadata Management, R Programming, Scientific Methods, Data Quality

    4
    Rating, 4 out of 5 stars
    ·
    15 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    Università di Napoli Federico II

    Python: Istruzioni per l’uso

    Skills you'll gain: Object Oriented Programming (OOP), Python Programming, Computer Programming, Scripting Languages, Programming Principles, Data Management, Debugging, Database Management, Functional Testing, Databases

    4.1
    Rating, 4.1 out of 5 stars
    ·
    41 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    SQL Mathematical Functions

    Skills you'll gain: SQL, PostgreSQL, Database Management, Data Manipulation, Database Systems

    4.2
    Rating, 4.2 out of 5 stars
    ·
    13 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Building a Machine Learning Solution

    Skills you'll gain: Exploratory Data Analysis, Data Collection, Data Ethics, MLOps (Machine Learning Operations), Feature Engineering, Data Cleansing, Responsible AI, Applied Machine Learning, Data Analysis, Solution Design, Statistical Analysis, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Application Deployment, Generative AI, Continuous Monitoring

    Intermediate · Course · 1 - 3 Months

Searches related to applied data science

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

  • Python and Statistics Foundations: Edureka
  • Basic Programming in Python I: Northeastern University
  • Algoritmos de negociación basados en machine learning​: Universidad de los Andes
  • Création de chaînes en Python: Coursera
  • A Complete Reinforcement Learning System (Capstone): University of Alberta
  • Building Statistical Models in R: Linear Regression: Coursera
  • Machine Learning with PySpark: Recommender System: Coursera
  • Statistics with Python Using NumPy, Pandas, and SciPy: University of Michigan
  • Researcher's guide to omic fundamentals: Fred Hutchinson Cancer Center
  • Python: Istruzioni per l’uso: Università di Napoli Federico II

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