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    • Applied Data Science

    Applied Data Science Courses Online

    Master applied data science techniques for real-world problem-solving. Learn data manipulation, visualization, and machine learning using Python.

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    Explore the Applied Data Science Course Catalog

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

      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

    • 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
      J

      Johns Hopkins University

      Data Science

      Skills you'll gain: Shiny (R Package), Rmarkdown, Exploratory Data Analysis, Regression Analysis, Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Wrangling, Machine Learning Algorithms, Plotly, Plot (Graphics), Interactive Data Visualization, Machine Learning, GitHub

      4.5
      Rating, 4.5 out of 5 stars
      ·
      51K reviews

      Beginner · Specialization · 3 - 6 Months

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

      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

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

      Packt

      Advanced Machine Learning, Big Data, and Deep Learning

      Skills you'll gain: Apache Spark, Keras (Neural Network Library), Deep Learning, Tensorflow, A/B Testing, Big Data, Data Ethics, Applied Machine Learning, Data Processing, Machine Learning Software, Artificial Neural Networks, Machine Learning Algorithms, Data Cleansing, Machine Learning, MLOps (Machine Learning Operations), Artificial Intelligence, Supervised Learning, Statistical Hypothesis Testing, Dimensionality Reduction, Reinforcement Learning

      Advanced · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      M

      Microsoft

      Advanced Data Applications and Integration

      Skills you'll gain: Rmarkdown, Web Scraping, Geospatial Information and Technology, Shiny (R Package), Microsoft Azure, Cloud Storage, Interactive Data Visualization, R Programming, Data Collection, Ggplot2, Data Manipulation, Data Science, Data Visualization Software, Data Integration, Data Analysis, Tidyverse (R Package), Application Programming Interface (API)

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      E

      EDUCBA

      PySpark: Apply & Analyze Advanced Data Processing

      Skills you'll gain: PySpark, Apache Spark, Customer Analysis, Big Data, Data Processing, Advanced Analytics, Statistical Modeling, Text Mining, Customer Insights, Data Mining, Data Transformation, Unstructured Data, Predictive Modeling, Simulation and Simulation Software, Data Manipulation, Marketing Analytics, Image Analysis, Risk Analysis

      Mixed · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Survey of Data Science

      Skills you'll gain:

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      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, Mathematical Theory & Analysis, Applied Mathematics, Derivatives, Mathematical Modeling, Machine Learning, Algorithms

      Build toward a degree

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U
      I
      I

      Multiple educators

      Data Science Foundations

      Skills you'll gain: Dashboard, Pseudocode, Jupyter, Algorithms, Data Literacy, Data Mining, Pandas (Python Package), Correlation Analysis, Web Scraping, NumPy, Data Import/Export, Probability & Statistics, Programming Principles, Predictive Modeling, Big Data, Computer Programming Tools, Data Science, Unsupervised Learning, Machine Learning, Project Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      115K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Advanced Statistics for Data Science

      Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Regression Analysis, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistical Methods, Statistical Modeling, Linear Algebra, Probability, R Programming, Biostatistics, Data Science, Statistics, Probability Distribution, Mathematical Modeling, Data Analysis, Applied Mathematics, Predictive Modeling

      4.4
      Rating, 4.4 out of 5 stars
      ·
      772 reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Executive Data Science

      Skills you'll gain: Data Quality, Exploratory Data Analysis, Employee Onboarding, Data Management, Team Motivation, Technical Communication, Data Analysis, Data Presentation, Project Management, Interviewing Skills, Data Science, Data-Driven Decision-Making, Management Training And Development, Organizational Leadership, Team Management, Data Strategy, Workflow Management, Analytical Skills, Leadership, Communication

      4.5
      Rating, 4.5 out of 5 stars
      ·
      11K reviews

      Beginner · Specialization · 1 - 3 Months

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

    • Data Science Fundamentals Part 1: Unit 1: Pearson
    • Data Science Fundamentals Part 2: Unit 2: Pearson
    • Data Science: Johns Hopkins University
    • Data Science Fundamentals Part 2: Unit 3: Pearson
    • Advanced Machine Learning, Big Data, and Deep Learning: Packt
    • Advanced Data Applications and Integration: Microsoft
    • PySpark: Apply & Analyze Advanced Data Processing: EDUCBA
    • Survey of Data Science: Packt
    • Statistics and Calculus Methods for Data Analysis: University of Pittsburgh
    • Data Science Foundations: University of London

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