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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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    Simplilearn

    Advanced Prompt Engineering Course

    Skills you'll gain: Prompt Patterns, Prompt Engineering Tools, LangChain, Retrieval-Augmented Generation, Generative AI, AI Workflows, LLM Application, Large Language Modeling, OpenAI API, Data Synthesis

    Beginner · Course · 1 - 4 Weeks

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    Packt

    Financial Analysis with ARIMA and Time Series Forecasting

    Skills you'll gain: Time Series Analysis and Forecasting, Financial Forecasting, Statistical Analysis, Machine Learning, Trend Analysis, Financial Data, Financial Modeling, Jupyter, Predictive Modeling, GitHub, Statistical Modeling, NumPy

    Intermediate · Course · 1 - 3 Months

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    EDUCBA

    Credit Default Prediction with Python: Apply & Analyze

    Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Data Preprocessing, Predictive Modeling, Decision Tree Learning, Credit Risk, Random Forest Algorithm, Feature Engineering, Financial Modeling, Logistic Regression, Data Analysis, Statistical Machine Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Pandas (Python Package), Machine Learning Methods, Classification Algorithms

    Mixed · Course · 1 - 4 Weeks

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    Rice University

    Introduction to Scripting in Python

    Skills you'll gain: Data Visualization Software, File I/O, Data Visualization, Plot (Graphics), Package and Software Management, Python Programming, Data Cleansing, Programming Principles, Data Manipulation, Development Environment, Data Structures, Scripting, Data Storage, Data Import/Export, Data Processing, Data Analysis, Program Development, Data Integration, Scripting Languages, Computer Programming

    4.7
    Rating, 4.7 out of 5 stars
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    4.3K reviews

    Beginner · Specialization · 3 - 6 Months

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    Coursera

    Generative AI and Large Language Models

    Skills you'll gain: Generative AI, Generative Model Architectures, Large Language Modeling, LLM Application, Generative Adversarial Networks (GANs), Retrieval-Augmented Generation, OpenAI, Hugging Face, Multimodal Prompts, Responsible AI, Embeddings, Prompt Engineering, AI Security, Autoencoders, Vision Transformer (ViT), Model Deployment, Image Analysis

    4.7
    Rating, 4.7 out of 5 stars
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    7 reviews

    Intermediate · Course · 1 - 3 Months

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    EDUCBA

    Face Recognition with Keras: Detect & Classify

    Skills you'll gain: Convolutional Neural Networks, Keras (Neural Network Library), Image Analysis, Computer Vision, Tensorflow, Data Preprocessing, Deep Learning, Embeddings, Model Deployment, Applied Machine Learning, Python Programming, Supervised Learning, NumPy, Model Evaluation

    Mixed · Course · 1 - 4 Weeks

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    Alfaisal University | KLD

    أساسيات مايكروسوفت آوتلوك | Microsoft Outlook Fundamentals

    Skills you'll gain: Microsoft Outlook, Microsoft Office, Setting Appointments, Calendar Management, Organizational Skills, Data Entry, Computer Literacy, Scheduling

    4.9
    Rating, 4.9 out of 5 stars
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    18 reviews

    Beginner · Course · 1 - 4 Weeks

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    LearnQuest

    Capstone Project: Advanced AI for Drug Discovery

    Skills you'll gain: Model Evaluation, Feature Engineering, Bioinformatics, Dimensionality Reduction, Predictive Modeling, Deep Learning, Artificial Neural Networks, Pandas (Python Package), Drug Development, Unsupervised Learning, Scikit Learn (Machine Learning Library), Data Manipulation, Molecular Biology, Regression Analysis, Machine Learning Algorithms, Machine Learning

    2.1
    Rating, 2.1 out of 5 stars
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    20 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Packt

    Master Retrieval-Augmented Generation (RAG) Systems

    Skills you'll gain: Retrieval-Augmented Generation, Embeddings, Large Language Modeling, Prompt Engineering, Data Visualization, Generative AI, Vector Databases, Text Mining, Data Processing

    Intermediate · Course · 1 - 3 Months

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    Northeastern University

    Program Structure and Algorithms Part 1

    Skills you'll gain: Algorithms, Graph Theory, Computational Thinking, Programming Principles, Pseudocode, Theoretical Computer Science, Data Structures, Computer Programming, Performance Tuning, Scalability, Design Strategies

    Mixed · Course · 1 - 3 Months

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    DeepLearning.AI

    TensorFlow を使った畳み込みニューラルネットワーク

    Skills you'll gain: Tensorflow, Convolutional Neural Networks, Transfer Learning, Image Analysis, Computer Vision, Classification Algorithms, Applied Machine Learning, Data Preprocessing, Model Evaluation

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Deep Learning with PyTorch : GradCAM

    Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, Heat Maps, Model Evaluation, Image Analysis, Deep Learning, Computer Vision

    4.6
    Rating, 4.6 out of 5 stars
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    Intermediate · Guided Project · Less Than 2 Hours

Searches related to applied data science

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

  • Advanced Prompt Engineering Course: Simplilearn
  • Financial Analysis with ARIMA and Time Series Forecasting: Packt
  • Credit Default Prediction with Python: Apply & Analyze: EDUCBA
  • Introduction to Scripting in Python: Rice University
  • Generative AI and Large Language Models: Coursera
  • Face Recognition with Keras: Detect & Classify: EDUCBA
  • أساسيات مايكروسوفت آوتلوك | Microsoft Outlook Fundamentals: Alfaisal University | KLD
  • Capstone Project: Advanced AI for Drug Discovery: LearnQuest
  • Master Retrieval-Augmented Generation (RAG) Systems: Packt
  • Program Structure and Algorithms Part 1: Northeastern University

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