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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.


More to explore:

Popular Applied Data Science Courses and Certifications


  • Status: Free Trial
    Free Trial
    U

    Universidad de los Andes

    Arquitecturas de Big Data

    Skills you'll gain: Public Cloud, Big Data, Data Infrastructure, Apache Hadoop, Apache Spark, Data Architecture, Cloud Platforms, Cloud Services, Data Processing, Distributed Computing, Cloud Computing, Scalability, Data Storage Technologies, NoSQL, File Systems, Data Storage, Software Architecture

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Michigan

    AI-Powered Data Analysis: A Practical Introduction

    Skills you'll gain: Data Wrangling, Analytical Skills, Data Analysis, Data Preprocessing, Data Cleansing, Generative AI, ChatGPT, Data Visualization Software, Jupyter, Statistical Analysis, Artificial Intelligence, Data Collection, Data Management, GitHub, Technical Support, Git (Version Control System), Integrated Development Environments

    4.4
    Rating, 4.4 out of 5 stars
    ·
    18 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    S

    SkillUp

    Data Privacy and Protection

    Skills you'll gain: Personally Identifiable Information, Cybersecurity, General Data Protection Regulation (GDPR), Information Privacy, Data Security, Threat Detection, Data Loss Prevention, Incident Response, Data Governance, Law, Regulation, and Compliance, Data Management, Data Storage, Data Integrity, Data Ethics, Regulation and Legal Compliance

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Getting Started with Data Visualization in R

    Skills you'll gain: Rmarkdown, Data Visualization, Statistical Visualization, Ggplot2, Data Import/Export, Data Visualization Software, R Programming, Tidyverse (R Package), Statistical Reporting, Data Manipulation, Scatter Plots, Data Wrangling, Histogram

    4.7
    Rating, 4.7 out of 5 stars
    ·
    300 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
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    N

    Northeastern University

    Data Warehousing and Integration Part 1

    Skills you'll gain: Data Warehousing, Extract, Transform, Load, Data Integration, Data Modeling, Data Architecture, Star Schema, Data Governance, Database Design, Data Management, SQL, Relational Databases, Business Intelligence, Data Mining, Data Quality, Data Analysis, Systems Design

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
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    N

    Northeastern University

    Foundations for Data Analytics Part 2

    Skills you'll gain: Time Series Analysis and Forecasting, Correlation Analysis, Probability & Statistics, Text Mining, Statistical Analysis, Probability Distribution, Data Analysis, Network Analysis, Exploratory Data Analysis, Feature Engineering, Data Structures, Unstructured Data, Data Cleansing, Data Preprocessing, Natural Language Processing

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Precalculus through Data and Modelling

    Skills you'll gain: Data Analysis, Applied Mathematics, Mathematical Modeling, Graphing, Trigonometry, R (Software), Analytical Skills, General Mathematics, Statistics, Algebra, Systems Of Measurement, Correlation Analysis, Regression Analysis, Calculus, Geometry

    4.7
    Rating, 4.7 out of 5 stars
    ·
    320 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Spark, Hadoop, and Snowflake for Data Engineering

    Skills you'll gain: PySpark, Databricks, Data Pipelines, Apache Spark, MLOps (Machine Learning Operations), Apache Hadoop, Big Data, Data Warehousing, Data Quality, Data Integration, Data Processing, Database Architecture and Administration, DevOps, Distributed Computing, Data Transformation, SQL, Python Programming

    3.9
    Rating, 3.9 out of 5 stars
    ·
    62 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Exploratory Data Analysis & Core ML Algorithms

    Skills you'll gain: Exploratory Data Analysis, Predictive Modeling, Decision Tree Learning, Data Analysis, Regression Analysis, Classification Algorithms, Supervised Learning, Machine Learning Algorithms, Model Evaluation, Scikit Learn (Machine Learning Library), Data Preprocessing, Statistical Machine Learning, Feature Engineering

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Troubleshooting and Solving Data Join Pitfalls

    Skills you'll gain: Big Data, Data Cleansing, Exploratory Data Analysis, Google Analytics, Data Integration, Data Manipulation, SQL, Database Administration

    Beginner · Project · Less Than 2 Hours

  • Status: Preview
    Preview
    A

    Association of International Certified Professional Accountants

    Introduction to Data Analytics for Accounting Professionals

    Skills you'll gain: Data Literacy, Data-Driven Decision-Making, Analytics, Financial Data, Business Analytics, Data Strategy, Data Analysis, Business Intelligence, Project Implementation, Project Scoping, Data Management, Unstructured Data

    4.7
    Rating, 4.7 out of 5 stars
    ·
    95 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Azure Machine Learning for Data Scientists

    Skills you'll gain: Responsible AI, Microsoft Azure, Unsupervised Learning, Databricks, MLOps (Machine Learning Operations), Applied Machine Learning, Classification Algorithms, Regression Analysis, Scikit Learn (Machine Learning Library), Predictive Modeling, Model Deployment, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Supervised Learning, Virtual Machines, Data Pipelines

    4.3
    Rating, 4.3 out of 5 stars
    ·
    176 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Arquitecturas de Big Data : Universidad de los Andes
  • AI-Powered Data Analysis: A Practical Introduction: University of Michigan
  • Data Privacy and Protection: SkillUp
  • Getting Started with Data Visualization in R: Johns Hopkins University
  • Data Warehousing and Integration Part 1: Northeastern University
  • Foundations for Data Analytics Part 2: Northeastern University
  • Precalculus through Data and Modelling: Johns Hopkins University
  • Spark, Hadoop, and Snowflake for Data Engineering: Duke University
  • Exploratory Data Analysis & Core ML Algorithms: Packt
  • Troubleshooting and Solving Data Join Pitfalls: Google Cloud

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