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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


  • C

    Coursera

    Create Customer Support Data with Google Sheets

    Skills you'll gain: Excel Formulas, Google Sheets, Service Level, Spreadsheet Software, Customer Data Management, Customer Support, Data Entry, Data Validation, Process Analysis, Data Analysis, Data Integration, Organizational Skills, Data Management

    4.6
    Rating, 4.6 out of 5 stars
    ·
    414 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    P

    Packt

    Applied Generative AI & NLP with Python

    Skills you'll gain: Prompt Engineering, Vector Databases, Retrieval-Augmented Generation, Hugging Face, Generative AI, OpenAI API, Natural Language Processing, Large Language Modeling, OpenAI, LLM Application, Transfer Learning, Embeddings, Python Programming, Model Evaluation

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Introduction to Data Science and scikit-learn in Python

    Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data Manipulation, NumPy, Classification Algorithms, Data Preprocessing, Data Analysis, Python Programming, Regression Analysis, Predictive Modeling, Machine Learning Algorithms, Machine Learning, Data Science, Statistical Hypothesis Testing, Supervised Learning, Statistical Methods, Data Structures

    3.7
    Rating, 3.7 out of 5 stars
    ·
    52 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    G

    Google Cloud

    Google Cloud Data Analytics

    Skills you'll gain: Looker (Software), Responsible AI, Data Lakes, Data Storytelling, Data Governance, Google Gemini, Data Visualization, Dashboard, Data Architecture, Data Pipelines, Data Visualization Software, Data Management, Cloud Infrastructure, Generative AI, Data Cleansing, Gemini, Cloud Storage, Data Transformation, Identity and Access Management, Data Literacy

    4.5
    Rating, 4.5 out of 5 stars
    ·
    218 reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Preview
    Preview
    U

    University of London

    Foundations of Data Science: K-Means Clustering in Python

    Skills you'll gain: Matplotlib, Probability & Statistics, Data Science, Unsupervised Learning, Statistics, NumPy, Python Programming, Pandas (Python Package), Data Analysis, Machine Learning Algorithms, Machine Learning, Data Manipulation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    733 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    Exam Prep (DEA-C01): AWS Certified Data Engineer - Associate

    Skills you'll gain: AWS SageMaker, AWS CloudFormation, Amazon S3, Serverless Computing, Amazon DynamoDB, Amazon CloudWatch, Cloud Security, Data Security, Amazon Redshift, AWS Kinesis, Data Integration, Cloud Storage, Amazon Web Services, Data Lakes, Data Storage, Databases, Apache Airflow, Cloud Computing Architecture, Infrastructure as Code (IaC), Virtual Networking

    4.6
    Rating, 4.6 out of 5 stars
    ·
    23 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Big Data with Spark and Hadoop

    Skills you'll gain: Apache Hadoop, Apache Spark, PySpark, Apache Hive, Big Data, IBM Cloud, Kubernetes, Docker (Software), Scalability, Data Processing, Development Environment, Distributed Computing, Performance Tuning, Data Transformation, Debugging

    4.4
    Rating, 4.4 out of 5 stars
    ·
    469 reviews

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    BigQuery for Data Analysts

    Skills you'll gain: Looker (Software), Big Data, SQL, Data Pipelines, Data Transformation, Extract, Transform, Load, Data Warehousing, Data Cleansing, Data Analysis, Data Visualization Software, Google Sheets, Google Cloud Platform, Data Import/Export

    4.4
    Rating, 4.4 out of 5 stars
    ·
    74 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Mastering Azure Databricks for Data Engineers

    Skills you'll gain: Databricks, CI/CD, Apache Spark, Microsoft Azure, Data Governance, Data Lakes, Data Architecture, Integration Testing, Real Time Data, Data Integration, PySpark, Data Pipelines, Data Management, Automation, Data Storage, Jupyter, File Systems, Development Testing, Data Processing, Data Quality

    4.3
    Rating, 4.3 out of 5 stars
    ·
    32 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Irvine

    Leverage Data Science for a More Agile Supply Chain

    Skills you'll gain: Supply Chain Planning, Demand Planning, Customer Demand Planning, Inventory Control, Inventory Management, Supply Chain Management, Supply Chain, Inventory Accounting, Capacity Planning, Production Planning, Materials Management, Inventory Management System, Process Optimization, Forecasting, Operations Management, Operations Research, Resource Allocation, Capacity Management, Microsoft Excel, Performance Measurement

    4.5
    Rating, 4.5 out of 5 stars
    ·
    534 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Integral Calculus and Numerical Analysis for Data Science

    Skills you'll gain: Integral Calculus, Numerical Analysis, Calculus, Data Science, Mathematical Theory & Analysis, Applied Mathematics, Linear Algebra, Derivatives

    4.6
    Rating, 4.6 out of 5 stars
    ·
    109 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Statistical Inference and Hypothesis Testing in Data Science Applications

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Probability & Statistics, Data Ethics, Statistical Analysis, Quantitative Research, Statistical Inference, Statistics, Sample Size Determination, Sampling (Statistics)

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    50 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Create Customer Support Data with Google Sheets: Coursera
  • Applied Generative AI & NLP with Python: Packt
  • Introduction to Data Science and scikit-learn in Python: LearnQuest
  • Google Cloud Data Analytics: Google Cloud
  • Foundations of Data Science: K-Means Clustering in Python: University of London
  • Exam Prep (DEA-C01): AWS Certified Data Engineer - Associate: Whizlabs
  • Introduction to Big Data with Spark and Hadoop: IBM
  • BigQuery for Data Analysts: Google Cloud
  • Mastering Azure Databricks for Data Engineers: Packt
  • Leverage Data Science for a More Agile Supply Chain: University of California, Irvine

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