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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


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    C

    Coursera

    Fundamentals of Data Governance Ownership, Privacy, Security

    Skills you'll gain: Data Governance, Personally Identifiable Information, Information Privacy, Data Security, General Data Protection Regulation (GDPR), Data Ethics, Data Management, Health Insurance Portability And Accountability Act (HIPAA) Compliance, Security Strategy, Compliance Management, Regulatory Compliance, Data Integrity, Risk Mitigation, Risk Analysis, Cross-Functional Collaboration, Encryption, Accountability

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Analyze Data in Azure ML Studio

    Skills you'll gain: Descriptive Statistics, Jupyter, Microsoft Azure, Feature Engineering, Data Analysis, Statistics, Exploratory Data Analysis, Probability & Statistics, Data Visualization Software, Correlation Analysis, Applied Machine Learning

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
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    Microsoft

    Data Preparation and Evaluation with Copilot

    Skills you'll gain: Microsoft Copilot, Data Quality, Anomaly Detection, Generative Adversarial Networks (GANs), Data Ethics, Generative AI, Data Pipelines, Data Cleansing, Data Preprocessing, Data Synthesis, Data Validation, Responsible AI, Natural Language Processing

    4.8
    Rating, 4.8 out of 5 stars
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    17 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    IBM

    AI Workflow: Business Priorities and Data Ingestion

    Skills you'll gain: Design Thinking, Data Science, Process Design, Strategic Thinking, Data Pipelines, Data Validation, Data Processing, Workflow Management, Data Cleansing, Data Quality, Business Priorities, NumPy, Machine Learning, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
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    188 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Microsoft

    Data Management and Application Features

    Skills you'll gain: ASP.NET, Data Migration, Configuration Management, Data Validation, Database Application, Middleware, Debugging, Back-End Web Development, Database Management, Data Modeling, Restful API, Maintainability, Dependency Analysis, Performance Tuning, Software Design Patterns

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Intermediate Data Analysis Techniques with Pandas

    Skills you'll gain: Pandas (Python Package), Text Mining, Data Manipulation, Data Cleansing, Data Analysis Software, Data Wrangling, Data Preprocessing

    4.9
    Rating, 4.9 out of 5 stars
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    13 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
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    Cloudera

    Foundations for Big Data Analysis with SQL

    Skills you'll gain: Database Design, Relational Databases, Databases, SQL, Big Data, Database Systems, NoSQL, Operational Databases, Data Warehousing, Data Management, Virtual Machines, Data Storage, Data Analysis

    4.7
    Rating, 4.7 out of 5 stars
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    1.1K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    F

    Fred Hutchinson Cancer Center

    Researcher's guide to RNA sequencing data

    Skills you'll gain: Molecular Biology, Laboratory Research, Bioinformatics, Data Literacy, Science and Research, Data Analysis, Spatial Data Analysis, Scientific Methods, Data Processing, Quantitative Research, Informatics, Biology, Data Collection

    3.6
    Rating, 3.6 out of 5 stars
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    18 reviews

    Intermediate · Course · 1 - 3 Months

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    Illinois Tech

    Data Modeling and Applications

    Skills you'll gain: Database Management Systems, Database Design, Database Architecture and Administration, Database Application, Relational Databases, SQL, Data Modeling, Query Languages, Data Integrity, Data Manipulation, Data Security

    Build toward a degree

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Data Manipulation at Scale: Systems and Algorithms

    Skills you'll gain: Big Data, Relational Databases, Database Systems, Dataflow, Databases, Data Science, Data Manipulation, Data Processing, NoSQL, Apache Spark, Distributed Computing, Apache Hadoop, SQL, Data Analysis, Query Languages, Cloud Computing, Scalability, Graph Theory, Python Programming, Algorithms

    4.3
    Rating, 4.3 out of 5 stars
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    771 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    SAS

    Analyzing Time Series and Sequential Data

    Skills you'll gain: Time Series Analysis and Forecasting, SAS (Software), Forecasting, Recurrent Neural Networks (RNNs), Feature Engineering, Statistical Analysis, Data Analysis, Digital Signal Processing, Statistical Methods, Regression Analysis, Exploratory Data Analysis, Predictive Modeling, Applied Machine Learning, Advanced Analytics, Statistical Modeling, Unsupervised Learning, Data Preprocessing, Bayesian Statistics, Model Evaluation, Automation

    5
    Rating, 5 out of 5 stars
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    11 reviews

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Manipulating Data with SQL

    Skills you'll gain: SQL, Data Manipulation, Relational Databases, Database Design, Databases, Data Integrity, Database Management Systems, Debugging, Data Management

    4.6
    Rating, 4.6 out of 5 stars
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    198 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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

  • Fundamentals of Data Governance Ownership, Privacy, Security: Coursera
  • Analyze Data in Azure ML Studio: Coursera
  • Data Preparation and Evaluation with Copilot: Microsoft
  • AI Workflow: Business Priorities and Data Ingestion: IBM
  • Data Management and Application Features: Microsoft
  • Intermediate Data Analysis Techniques with Pandas: Packt
  • Foundations for Big Data Analysis with SQL: Cloudera
  • Researcher's guide to RNA sequencing data: Fred Hutchinson Cancer Center
  • Data Modeling and Applications: Illinois Tech
  • Data Manipulation at Scale: Systems and Algorithms: University of Washington

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