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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

    Machine Learning with PySpark: Customer Churn Analysis

    Skills you'll gain: Model Evaluation, Data Preprocessing, Exploratory Data Analysis, Feature Engineering, Model Deployment, Data Analysis, PySpark, Data Import/Export, Data Transformation, Apache Spark, Decision Tree Learning, Customer Analysis, Predictive Modeling, Predictive Analytics, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    25 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    I

    IBM

    DataOps Methodology

    Skills you'll gain: Data Governance, Data Strategy, Data Management, Data Modeling, Data Quality, Data Literacy, Data Integration, Metadata Management, Data Transformation, Data-Driven Decision-Making, Taxonomy, Business Priorities, Data Pipelines, Sprint Retrospectives, Process Improvement, Sprint Planning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    58 reviews

    Beginner · Course · 1 - 3 Months

  • 2

    28DIGITAL

    Quantitative Formal Modeling and Worst-Case Performance Analysis

    Skills you'll gain: Computational Thinking, Theoretical Computer Science, Mathematical Modeling, Systems Analysis, Performance Testing, Embedded Systems, Graph Theory, Technical Documentation, Model Evaluation, Algorithms

    4.4
    Rating, 4.4 out of 5 stars
    ·
    44 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    Prediction and Control with Function Approximation

    Skills you'll gain: Reinforcement Learning, Deep Learning, Feature Engineering, Machine Learning Algorithms, Machine Learning, Supervised Learning, Artificial Neural Networks, Pseudocode, Linear Algebra, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    845 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Explainable AI (XAI)

    Skills you'll gain: Responsible AI, Large Language Modeling, Data Ethics, Decision Tree Learning, AI Security, Regression Analysis, Generative AI, Artificial Intelligence, Predictive Modeling, AI Product Strategy, Statistical Modeling, Python Programming, Machine Learning, Model Evaluation, Applied Machine Learning, Logistic Regression, Deep Learning, Visualization (Computer Graphics), Plot (Graphics), Artificial Neural Networks

    4.6
    Rating, 4.6 out of 5 stars
    ·
    68 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Rust Fundamentals

    Skills you'll gain: Rust (Programming Language), Test Case, Software Testing, Data Structures, Debugging, GitHub, Programming Principles, Package and Software Management, Development Environment, System Programming, Software Documentation

    4
    Rating, 4 out of 5 stars
    ·
    213 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Cómo importar datos y crear visualizaciones en Python

    Skills you'll gain: Matplotlib, Data Visualization Software, Data Visualization, Pandas (Python Package), Jupyter, Data Import/Export, Data Science, Data Analysis, Analytical Skills, Python Programming, Scripting

    Beginner · Guided Project · Less Than 2 Hours

  • P

    Packt

    Alteryx Advanced

    Skills you'll gain: Data Cleansing, Data Manipulation, Advanced Analytics, Applied Machine Learning, Data Wrangling, Fraud detection, Data Transformation, Predictive Modeling, Machine Learning, Data Pipelines, Data Preprocessing, Feature Engineering, Sampling (Statistics), Data Integration, Model Evaluation, Workflow Management, Complex Problem Solving

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Building Generative AI-Powered Applications with Python

    Skills you'll gain: Retrieval-Augmented Generation, LangChain, LLM Application, Hugging Face, Generative AI, OpenAI, Web Applications, Flask (Web Framework), Python Programming, Natural Language Processing, Prompt Engineering, Image Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    254 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    أساسيات تحليل البيانات باستخدام بايثون وباندا

    Skills you'll gain: Pandas (Python Package), Data Analysis, Data Cleansing, Exploratory Data Analysis, Data Manipulation, Matplotlib, Jupyter, Data Visualization, NumPy, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    36 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Getting Started with Microsoft Excel

    Skills you'll gain: Microsoft Excel, Excel Formulas, Spreadsheet Software, Microsoft Office, Data Entry, Microsoft 365

    4.6
    Rating, 4.6 out of 5 stars
    ·
    13K reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    P

    Packt

    Mastering Advanced Pivot Tables in Excel

    Skills you'll gain: Pivot Tables And Charts, Microsoft Excel, Dashboard, Data Presentation, Business Reporting, Interactive Data Visualization, Data Visualization Software, Excel Formulas, Data Import/Export, Data Cleansing, Data Transformation, Data Analysis, Timelines

    4.8
    Rating, 4.8 out of 5 stars
    ·
    16 reviews

    Intermediate · Course · 3 - 6 Months

Searches related to applied data science

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

  • Machine Learning with PySpark: Customer Churn Analysis: Coursera
  • DataOps Methodology : IBM
  • Quantitative Formal Modeling and Worst-Case Performance Analysis: 28DIGITAL
  • Prediction and Control with Function Approximation: University of Alberta
  • Explainable AI (XAI): Duke University
  • Rust Fundamentals: Duke University
  • Cómo importar datos y crear visualizaciones en Python: Coursera
  • Alteryx Advanced: Packt
  • Building Generative AI-Powered Applications with Python: IBM
  • أساسيات تحليل البيانات باستخدام بايثون وباندا: Coursera

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