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  • Introduction To Data Science In Python

Results for "introduction to data science in python"


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    M

    Microsoft

    Introduction to Microsoft Dynamics 365

    Skills you'll gain: Marketing Automation, Sales Management, Customer Engagement, Customer Relationship Management (CRM) Software, Sales Process, Microsoft 365, Resource Allocation, Microsoft Teams, Sales Operations, Lead Generation, Service Management, Marketing, Customer Data Management, Power BI, Customer Service, Customer Insights, Scheduling

    4.6
    Rating, 4.6 out of 5 stars
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    81 reviews

    Beginner · Course · 1 - 3 Months

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    C

    Coursera

    Introduction to Data Visualization in Qlik Sense

    Skills you'll gain: Data Visualization, Data-Driven Decision-Making, Data Visualization Software, Data Literacy, Interactive Data Visualization, Business Intelligence, Data Storytelling, Data Presentation, Dashboard

    4.7
    Rating, 4.7 out of 5 stars
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    46 reviews

    Beginner · Course · 1 - 4 Weeks

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    D

    Duke University

    Introduction to Chemistry: Reactions and Ratios

    Skills you'll gain: Scientific Methods, Chemistry, Laboratory Research, Systems Of Measurement, Physics, Materials science, Analytical Chemistry

    4.7
    Rating, 4.7 out of 5 stars
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    1.4K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Data Science in Real Life

    Skills you'll gain: Data Quality, Data Management, Technical Communication, Data Analysis, Data-Driven Decision-Making, Statistical Analysis, Data Science, Statistical Machine Learning, Statistical Inference, Statistics, A/B Testing, Statistical Modeling

    4.5
    Rating, 4.5 out of 5 stars
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    2.4K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google

    Introduction to Git and GitHub

    Skills you'll gain: Git (Version Control System), GitHub, Version Control, Continuous Integration, Software Versioning, Collaborative Software, Software Development Tools, Code Review, Issue Tracking, Command-Line Interface

    4.8
    Rating, 4.8 out of 5 stars
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    7.9K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Deep Learning & Neural Networks with Keras

    Skills you'll gain: Keras (Neural Network Library), Deep Learning, Artificial Neural Networks, Tensorflow, Machine Learning Methods, Image Analysis, Computer Vision, Regression Analysis, Network Architecture, Network Model, Natural Language Processing, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
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    2K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    C

    Coursera

    From Raw to Ready: Data Preparation in Python

    Skills you'll gain: Data Integration, Data Import/Export, NumPy, Data Wrangling, Data Manipulation, Pandas (Python Package), Data Pipelines, Data Transformation, Extract, Transform, Load, Data Cleansing

    Beginner · Course · 1 - 4 Weeks

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    S

    Stanford University

    Stanford Introduction to Food and Health

    Skills you'll gain: Cooking, Meal Planning And Preparation, Health Promotion, Health Education, Nutrition and Diet, Public Health, Behavior Management, Cultural Diversity, Health Informatics, Chronic Diseases

    4.7
    Rating, 4.7 out of 5 stars
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    34K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Python, Bash and SQL Essentials for Data Engineering

    Skills you'll gain: Pandas (Python Package), Bash (Scripting Language), Version Control, Jupyter, Linux Commands, Git (Version Control System), Shell Script, Linux, Web Scraping, Linux Administration, Data Manipulation, MySQL, Microservices, AWS SageMaker, SQL, JSON, Cloud Engineering, Python Programming, Big Data, Data Science

    4.5
    Rating, 4.5 out of 5 stars
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    455 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Hardware and Operating Systems

    Skills you'll gain: Peripheral Devices, Computer Hardware, System Configuration, Virtualization and Virtual Machines, Computer Systems, Virtual Machines, Operating Systems, USB, Hardware Troubleshooting, Computing Platforms, Linux, Software Installation, Technical Support, Mac OS, Computer Architecture, File Systems, Network Infrastructure, Data Storage, User Accounts, Disaster Recovery

    4.7
    Rating, 4.7 out of 5 stars
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    2K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    T

    The Hong Kong University of Science and Technology

    Python and Statistics for Financial Analysis

    Skills you'll gain: Statistical Inference, Statistical Methods, Pandas (Python Package), Probability & Statistics, Risk Analysis, Financial Trading, Financial Data, Data Manipulation, Statistical Analysis, Regression Analysis, Financial Analysis, Jupyter, Probability Distribution, Python Programming, Data Visualization

    4.4
    Rating, 4.4 out of 5 stars
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    4.6K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California, Davis

    Computational Social Science

    Skills you'll gain: Social Network Analysis, Network Analysis, Data Wrangling, Natural Language Processing, Web Scraping, Social Sciences, Data Ethics, Databases, Artificial Intelligence, Research, Simulations, Big Data, Systems Thinking, Trend Analysis, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Research Methodologies, Machine Learning, Data Collection, Agentic systems

    4.6
    Rating, 4.6 out of 5 stars
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    1.2K reviews

    Beginner · Specialization · 3 - 6 Months

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 Dynamics 365: Microsoft
  • Introduction to Data Visualization in Qlik Sense: Coursera
  • Introduction to Chemistry: Reactions and Ratios: Duke University
  • Data Science in Real Life: Johns Hopkins University
  • Introduction to Git and GitHub: Google
  • Introduction to Deep Learning & Neural Networks with Keras: IBM
  • From Raw to Ready: Data Preparation in Python: Coursera
  • Stanford Introduction to Food and Health: Stanford University
  • Python, Bash and SQL Essentials for Data Engineering: Duke University
  • Introduction to Hardware and Operating Systems: IBM

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