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  • Python For Data Analysis

Python for Data Analysis Courses

Python for Data Analysis courses can help you learn data manipulation, statistical analysis, data visualization, and data cleaning techniques. You can build skills in using libraries like Pandas for data handling, NumPy for numerical data processing, and Matplotlib or Seaborn for creating informative graphs. Many courses also cover practical applications such as exploratory data analysis and predictive modeling, allowing you to apply your skills to real datasets and derive actionable insights.


Popular Python for Data Analysis Courses and Certifications


  • Status: Preview
    Preview
    U

    University of California, Davis

    Wine Tasting: Sensory Techniques for Wine Analysis

    Skills you'll gain: Peer Review, Cultural Sensitivity, Analytical Skills, Detail Oriented, Verbal Communication Skills, Decision Making, Problem Solving

    4.7
    Rating, 4.7 out of 5 stars
    ·
    534 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Generative AI for Data Scientists

    Skills you'll gain: Generative AI, Microsoft Copilot, Generative Adversarial Networks (GANs), Natural Language Processing, Data Quality, Anomaly Detection, Data Storytelling, Technical Communication, Responsible AI, Data Visualization, Data Ethics, Data-Driven Decision-Making, Interactive Data Visualization, Data Pipelines, Data Cleansing, Data Visualization Software, Data Preprocessing, Data Science, Autoencoders, Critical Thinking

    4.7
    Rating, 4.7 out of 5 stars
    ·
    65 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    AI for Medical Diagnosis

    Skills you'll gain: Model Evaluation, Data Preprocessing, Convolutional Neural Networks, Image Analysis, Diagnostic Radiology, Predictive Modeling, Risk Modeling, Statistical Machine Learning, Artificial Intelligence, Tensorflow, Applied Machine Learning, Medical Imaging, Machine Learning Methods, Deep Learning, Natural Language Processing, Medical Science and Research, Machine Learning, Magnetic Resonance Imaging, Probability & Statistics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.1K reviews

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Regression Analysis for Statistics & Machine Learning in R

    Skills you'll gain: Data Cleansing, R Programming, Data Preprocessing, Applied Machine Learning, Statistical Analysis, R (Software), Model Evaluation, Statistical Machine Learning, Classification And Regression Tree (CART), Advanced Analytics, Statistical Programming, Statistical Modeling, Logistic Regression, Machine Learning Methods, Random Forest Algorithm, Data Transformation, Statistical Methods, Predictive Modeling, Exploratory Data Analysis, Machine Learning

    Intermediate · Course · 1 - 3 Months

  • D

    Duke University

    MySQL-for-Data-Engineering

    Skills you'll gain: MySQL, Bash (Scripting Language), Scripting, Database Management, Relational Databases, Command-Line Interface, SQL, Databases, Data Import/Export, Database Application, Data Pipelines, Data Manipulation, Python Programming, Linux

    4.2
    Rating, 4.2 out of 5 stars
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    12 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Excel for Beginners: Beginner Functions

    Skills you'll gain: Spreadsheet Software, Microsoft Excel, Computer Literacy, Microsoft Office

    4.5
    Rating, 4.5 out of 5 stars
    ·
    81 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    2

    28DIGITAL

    Data Science for Business Innovation

    Skills you'll gain: Data Strategy, Data-Driven Decision-Making, Big Data, Data Science, NoSQL, Data Modeling, Data Storage Technologies, Analytics, Business Analytics, Data Analysis, Risking, Machine Learning, Unsupervised Learning, Regression Analysis, Descriptive Analytics, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Classification Algorithms

    4.3
    Rating, 4.3 out of 5 stars
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    270 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Data Science for Health Research

    Skills you'll gain: R (Software), Model Evaluation, Statistical Modeling, Data Visualization, Data Wrangling, Data Manipulation, Correlation Analysis, Histogram, Data Analysis, Statistical Analysis, Biostatistics, Statistics, Scripting, Statistical Hypothesis Testing, Package and Software Management, Data Import/Export

    5
    Rating, 5 out of 5 stars
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    11 reviews

    Beginner · Specialization · 1 - 3 Months

  • C

    Coursera

    Excel for Beginners: Introduction to Spreadsheets

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

    4.7
    Rating, 4.7 out of 5 stars
    ·
    209 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Finance & Quantitative Modeling for Analysts

    Skills you'll gain: Financial Reporting, Return On Investment, Financial Acumen, Financial Data, Capital Budgeting, Financial Statements, Business Modeling, Mathematical Modeling, Finance, Regression Analysis, Financial Modeling, Statistical Modeling, Income Statement, Risk Analysis, Financial Analysis, Spreadsheet Software, Capital Expenditure, Excel Formulas, Microsoft Excel, Corporate Finance

    4.5
    Rating, 4.5 out of 5 stars
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    17K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    C

    Coursera

    GenAI for Financial Insights and Analysis with QUILL

    Skills you'll gain: Generative AI, Financial Data, Financial Analysis, Data-Driven Decision-Making, Financial Statements, Text Mining, Market Intelligence, Unstructured Data, Financial Market, Artificial Intelligence, Analysis, Natural Language Processing

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Graph Analytics for Big Data

    Skills you'll gain: Graph Theory, Database Design, Big Data, Network Analysis, Analytics, Data Management, Query Languages, Computing Platforms, Scalability, Unsupervised Learning, Distributed Computing, Algorithms

    4.3
    Rating, 4.3 out of 5 stars
    ·
    1.3K reviews

    Mixed · Course · 1 - 3 Months

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In summary, here are 10 of our most popular python for data analysis courses

  • Wine Tasting: Sensory Techniques for Wine Analysis: University of California, Davis
  • Generative AI for Data Scientists: Microsoft
  • AI for Medical Diagnosis: DeepLearning.AI
  • Regression Analysis for Statistics & Machine Learning in R: Packt
  • MySQL-for-Data-Engineering: Duke University
  • Excel for Beginners: Beginner Functions: Coursera
  • Data Science for Business Innovation: 28DIGITAL
  • Data Science for Health Research: University of Michigan
  • Excel for Beginners: Introduction to Spreadsheets: Coursera
  • Finance & Quantitative Modeling for Analysts: University of Pennsylvania

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