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  • Python Excel

Python Excel Courses

Python Excel courses can help you learn data manipulation, automation of tasks, and data visualization techniques. You can build skills in using libraries like Pandas for data analysis, openpyxl for working with Excel files, and Matplotlib for creating charts. Many courses also cover how to integrate Python scripts with Excel to streamline workflows, enabling you to efficiently analyze large datasets and generate reports. By mastering these tools and techniques, you can enhance your productivity and make data-driven decisions with confidence.


More to explore:

Popular Python Excel Courses and Certifications


  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Data Management

    Skills you'll gain: Data Storytelling, Dashboard, Data Warehousing, Database Design, SQL, Data Presentation, Data Visualization, Interactive Data Visualization, Data Security, Data Migration, Data Governance, Descriptive Statistics, Data Store, Data Management, Relational Databases, Databases, Exploratory Data Analysis, Data Architecture, Excel Formulas, Business Intelligence

    4.7
    Rating, 4.7 out of 5 stars
    ·
    18K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D
    S

    Multiple educators

    Machine Learning

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Transfer Learning, Machine Learning, Jupyter, Applied Machine Learning, Data Ethics, Decision Tree Learning, Model Evaluation, Tensorflow, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Classification Algorithms, Reinforcement Learning, Random Forest Algorithm, Feature Engineering, Data Preprocessing

    4.9
    Rating, 4.9 out of 5 stars
    ·
    38K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    PwC

    Data Analysis and Presentation Skills: the PwC Approach

    Skills you'll gain: Analytics, Data Visualization, Business Analytics, Data Analysis, Microsoft PowerPoint, Data Presentation, Presentations, Excel Formulas, Data-Driven Decision-Making, Dashboard, Business Intelligence, Microsoft Excel, Customer Analysis, Data Visualization Software, Big Data, Data Storytelling, Target Audience, Business Consulting, Spreadsheet Software, Data Cleansing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    11K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Business Statistics and Analysis

    Skills you'll gain: Statistical Hypothesis Testing, Microsoft Excel, Statistical Methods, Pivot Tables And Charts, Regression Analysis, Statistics, Descriptive Statistics, Probability & Statistics, Graphing, Spreadsheet Software, Probability Distribution, Business Analytics, Statistical Modeling, Statistical Analysis, Statistical Inference, Excel Formulas, Data Analysis, Data Presentation, Model Evaluation, Sample Size Determination

    4.7
    Rating, 4.7 out of 5 stars
    ·
    13K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Deep Learning

    Skills you'll gain: Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Computer Vision, Transfer Learning, Deep Learning, Image Analysis, Hugging Face, Natural Language Processing, Artificial Neural Networks, Tensorflow, Embeddings, Supervised Learning, Keras (Neural Network Library), Applied Machine Learning, Machine Learning, MLOps (Machine Learning Operations), Debugging, Performance Tuning, PyTorch (Machine Learning Library), Data Preprocessing

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    147K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Data Analytics

    Skills you'll gain: Statistical Visualization, Big Data, Data Analysis, Statistical Analysis, Apache Hadoop, Apache Hive, Data Collection, Data Mart, Data Science, Data Warehousing, Data Visualization, Analytics, Data Cleansing, Apache Spark, Data Lakes, Data Presentation, Data Transformation, Microsoft Excel

    4.8
    Rating, 4.8 out of 5 stars
    ·
    20K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Tools for Data Science

    Skills you'll gain: Jupyter, R (Software), R Programming, GitHub, Data Visualization Software, Data Science, Statistical Programming, Cloud Services, Cloud Computing, Git (Version Control System), Other Programming Languages, Development Environment, Python Programming, Data Management, Machine Learning, Open Source Technology

    4.5
    Rating, 4.5 out of 5 stars
    ·
    30K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    Generative AI with Large Language Models

    Skills you'll gain: Generative AI, Large Language Modeling, Generative Model Architectures, LLM Application, Prompt Engineering, Model Deployment, Python Programming, Applied Machine Learning, Scalability, Natural Language Processing, Responsible AI, Machine Learning, Model Evaluation, Reinforcement Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.6K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    I

    IBM

    IBM DevOps and Software Engineering

    Skills you'll gain: User Story, Cloud Deployment, CI/CD, Software Development Life Cycle, Open Web Application Security Project (OWASP), Continuous Integration, Istio, Linux Commands, Software Architecture, Cloud Computing Architecture, Application Deployment, Test Driven Development (TDD), Kubernetes, Restful API, Git (Version Control System), DevOps, Grafana, Software Engineering, Data Import/Export, Application Development

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    65K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Generative AI Engineering

    Skills you'll gain: Prompt Engineering, Prompt Patterns, LangChain, Large Language Modeling, Retrieval-Augmented Generation, Exploratory Data Analysis, Unsupervised Learning, Generative Model Architectures, PyTorch (Machine Learning Library), ChatGPT, Generative AI, Restful API, LLM Application, Keras (Neural Network Library), Supervised Learning, Model Evaluation, Data Analysis, Responsible AI, Vector Databases, Data Import/Export

    4.6
    Rating, 4.6 out of 5 stars
    ·
    98K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Business Intelligence (BI) Analyst

    Skills you'll gain: Data Storytelling, Dashboard, Database Design, Data Presentation, Data Visualization, Presentations, Descriptive Statistics, Extract, Transform, Load, Business Intelligence, Data Visualization Software, IBM DB2, Tableau Software, Relational Databases, Star Schema, IBM Cognos Analytics, Interactive Data Visualization, Microsoft SQL Servers, Regression Analysis, MySQL, Excel Formulas

    4.7
    Rating, 4.7 out of 5 stars
    ·
    16K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM JavaScript Backend Developer

    Skills you'll gain: Cloud Deployment, Software Development Life Cycle, Open Web Application Security Project (OWASP), Containerization, Istio, Software Architecture, Node.JS, Application Deployment, Restful API, Kubernetes, Database Design, Cloud-Native Computing, Responsive Web Design, NoSQL, Git (Version Control System), Ajax, Grafana, Javascript, Azure DevOps, Engineering Software

    4.6
    Rating, 4.6 out of 5 stars
    ·
    8.9K reviews

    Beginner · Professional Certificate · 3 - 6 Months

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In summary, here are 10 of our most popular python excel courses

  • IBM Data Management: IBM
  • Machine Learning: DeepLearning.AI
  • Data Analysis and Presentation Skills: the PwC Approach: PwC
  • Business Statistics and Analysis: Rice University
  • Deep Learning: DeepLearning.AI
  • Introduction to Data Analytics: IBM
  • Tools for Data Science: IBM
  • Generative AI with Large Language Models: DeepLearning.AI
  • IBM DevOps and Software Engineering: IBM
  • IBM Generative AI Engineering: IBM

Skills you can learn in Data Analysis

Analytics (85)
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Python Programming (47)
Business Analytics (40)
R Programming (37)
Statistical Analysis (36)
Sql (33)
Data Model (29)
Data Mining (27)
Exploratory Data Analysis (26)
Data Modeling (21)
Data Manipulation (20)

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