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  • Introduction To Data Science In Python

Results for "introduction to data science in python"


  • Status: Free Trial
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    M

    Microsoft

    Introduction to Microsoft Copilot

    Skills you'll gain: Prompt Engineering, Microsoft Copilot, Generative AI, Microsoft Office, Artificial Intelligence and Machine Learning (AI/ML), Productivity Software, Automation, Natural Language Processing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    101 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Introduction to Integrative Nursing

    Skills you'll gain: Nursing Practices, Nursing Management, Clinical Leadership, Patient Evaluation, Nursing, Nursing Care, Clinical Nursing, Pain Management, Patient-centered Care, Health Assessment, Clinical Assessment, Chronic Diseases, Stress Management, Mindfulness

    4.8
    Rating, 4.8 out of 5 stars
    ·
    96 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Irvine

    Introduction to Digital Marketing

    Skills you'll gain: Search Engine Marketing, Keyword Research, Digital Marketing, Online Advertising, Search Engine Optimization, Content Marketing, Social Media Strategy, Social Media, Web Analytics and SEO, Storytelling, Marketing Strategies, Pay Per Click Advertising, Marketing Communications, Customer Relationship Management, Brand Management, Consumer Behaviour

    4.7
    Rating, 4.7 out of 5 stars
    ·
    228 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    University of Colorado Boulder

    BiteSize Python for Absolute Beginners: Data Structures

    Skills you'll gain: Data Structures, Data Manipulation, Data Access, Data Processing, Python Programming, Data Management

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Corporate Finance Institute

    Introduction to Capital Markets

    Skills you'll gain: Capital Markets, Financial Market, Investment Banking, Securities Trading, Investments, Market Liquidity, Private Equity, Sales, Financial Industry Regulatory Authorities, Business Acumen, Equities, Asset Management

    4.8
    Rating, 4.8 out of 5 stars
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    37 reviews

    Beginner · Course · 1 - 3 Months

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    New
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    C

    Coursera

    Explore and Visualize Data the Python Way

    Skills you'll gain: Data Storytelling, Data Presentation, Plotly, Matplotlib, Exploratory Data Analysis, Plot (Graphics), Data Visualization, Interactive Data Visualization, Data Visualization Software, Statistical Visualization, Seaborn, Data Analysis, Box Plots, Descriptive Statistics, Jupyter, Data Science, Anomaly Detection, Python Programming, GitHub

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
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    U

    University of the Arts London

    Introduction to Creative AI

    Skills you'll gain: PyTorch (Machine Learning Library), Artificial Intelligence, Creativity, Artificial Intelligence and Machine Learning (AI/ML), Creative Thinking, Generative AI, Artificial Neural Networks, Responsible AI, Augmented Reality, Creative Problem-Solving, Creative Design, Data Ethics, Machine Learning, Deep Learning, Critical Thinking

    4.2
    Rating, 4.2 out of 5 stars
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    6 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Introduction to Cost Accounting

    Skills you'll gain: Management Accounting, Cost Accounting, Operational Performance Management, Performance Management, Accounting, Cost Estimation, Cost Control, Product Knowledge, Product Strategy

    4.5
    Rating, 4.5 out of 5 stars
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    200 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: New
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    P

    Pearson

    Data Science Fundamentals Part 2: Unit 2

    Skills you'll gain: A/B Testing, Sampling (Statistics), Statistical Inference, Estimation, Statistical Analysis, Analytics, Probability & Statistics, Data Analysis, Correlation Analysis, Descriptive Statistics

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    NoSQL, Big Data, and Spark Foundations

    Skills you'll gain: NoSQL, Apache Spark, Apache Hadoop, MongoDB, PySpark, Extract, Transform, Load, Apache Hive, Databases, Apache Cassandra, Big Data, Machine Learning, Applied Machine Learning, Generative AI, Machine Learning Algorithms, IBM Cloud, Kubernetes, Supervised Learning, Distributed Computing, Docker (Software), Database Management

    4.5
    Rating, 4.5 out of 5 stars
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    810 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
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    M

    Meta

    GenAI in Data Analytics

    Skills you'll gain: Generative AI, Business Analytics, Analytics, Data Quality, Business Analysis, AI Product Strategy, Data Ethics, Process Optimization, Responsible AI, Data Analysis, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    67 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    M

    MathWorks

    Introduction to MATLAB Copilot

    Skills you'll gain: Generative AI, LLM Application, Matlab, Code Review, Prototyping, Software Documentation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6 reviews

    Beginner · Course · 1 - 4 Weeks

Searches related to introduction to data science in python

introduction to data science and scikit-learn in python
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In summary, here are 10 of our most popular introduction to data science in python courses

  • Introduction to Microsoft Copilot: Microsoft
  • Introduction to Integrative Nursing: University of Minnesota
  • Introduction to Digital Marketing: University of California, Irvine
  • BiteSize Python for Absolute Beginners: Data Structures: University of Colorado Boulder
  • Introduction to Capital Markets: Corporate Finance Institute
  • Explore and Visualize Data the Python Way: Coursera
  • Introduction to Creative AI: University of the Arts London
  • Introduction to Cost Accounting: Coursera
  • Data Science Fundamentals Part 2: Unit 2: Pearson
  • NoSQL, Big Data, and Spark Foundations: IBM

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