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  • Data Analysis With Python

Data Analysis With Python Courses

Data Analysis with Python courses can help you learn data manipulation, statistical analysis, data visualization, and machine learning basics. You can build skills in working with datasets, interpreting results, and communicating findings effectively. Many courses introduce tools like Pandas for data handling, Matplotlib and Seaborn for visualization, and Scikit-learn for implementing machine learning algorithms. These skills and tools empower you to analyze complex data sets and derive actionable insights across various domains.


Popular Data Analysis With Python Courses and Certifications


  • S

    Sungkyunkwan University

    The Fundamental of Data-Driven Investment

    Skills you'll gain: Portfolio Management, Portfolio Risk, Investment Management, Performance Analysis, R Programming, Time Series Analysis and Forecasting, Risk Analysis, Financial Analysis, Financial Modeling, Financial Data, Statistical Programming, Regression Analysis, Data Manipulation, Data Visualization

    4.4
    Rating, 4.4 out of 5 stars
    ·
    7 reviews

    Beginner · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Data Modeling, Transformation, and Serving

    Skills you'll gain: Data Modeling, Data Transformation, Data Warehousing, Data Preprocessing, Apache Hadoop, Data Pipelines, Apache Spark, Feature Engineering, Star Schema, Real Time Data, Data Access, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    94 reviews

    Intermediate · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Analyze and Manage Enterprise Data Analytics Systems

    Skills you'll gain: Dashboard, Splunk, Role-Based Access Control (RBAC), Data Transformation, Data Analysis, Statistical Visualization, Infrastructure Architecture, Data Visualization Software, Statistical Analysis, Anomaly Detection, Exploratory Data Analysis, Configuration Management, Data Manipulation, Security Information and Event Management (SIEM), Scatter Plots, Data Analysis Expressions (DAX), Distributed Computing, Authentications, Real Time Data, Software Installation

    Beginner · Specialization · 3 - 6 Months

  • F

    Fred Hutchinson Cancer Center

    Researcher's guide to RNA sequencing data

    Skills you'll gain: Molecular Biology, Laboratory Research, Bioinformatics, Data Literacy, Science and Research, Data Analysis, Spatial Data Analysis, Scientific Methods, Data Processing, Quantitative Research, Informatics, Biology, Data Collection

    3.6
    Rating, 3.6 out of 5 stars
    ·
    18 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    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
    ·
    7 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of California, Davis

    GIS Data Formats, Design and Quality

    Skills you'll gain: Spatial Analysis, ArcGIS, Geographic Information Systems, Geospatial Mapping, Data Quality, Data Mapping, Data Modeling, Vector Databases, Data Management, Data Storage, Data Sharing, Data Manipulation, Relational Databases, Query Languages, Analytics

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.1K reviews

    Intermediate · Course · 1 - 4 Weeks

  • S

    SAS

    Creating Features for Time Series Data

    Skills you'll gain: Time Series Analysis and Forecasting, SAS (Software), Feature Engineering, Statistical Analysis, Data Analysis, Digital Signal Processing, Data Transformation, Exploratory Data Analysis, Data Preprocessing, Unsupervised Learning, Dimensionality Reduction

    Intermediate · Course · 1 - 3 Months

  • E

    Edureka

    Power BI for Data Science and Analytics

    Skills you'll gain: Data Analysis Expressions (DAX), Data Storytelling, Analytics, Excel Formulas, Predictive Modeling, Anomaly Detection, Python Programming, Machine Learning

    4.2
    Rating, 4.2 out of 5 stars
    ·
    11 reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Michigan

    How Science Turns Data Into Knowledge

    Skills you'll gain: Data Literacy, Statistical Hypothesis Testing, Scientific Methods, Data Analysis, Experimentation, Research Design, Research, Peer Review, Probability & Statistics, Statistical Inference, Statistical Methods, Media and Communications

    4.6
    Rating, 4.6 out of 5 stars
    ·
    14 reviews

    Beginner · Course · 1 - 4 Weeks

  • M

    Microsoft

    Microsoft Azure Machine Learning for Data Scientists

    Skills you'll gain: Responsible AI, Microsoft Azure, Unsupervised Learning, Databricks, MLOps (Machine Learning Operations), Applied Machine Learning, Classification Algorithms, Regression Analysis, Scikit Learn (Machine Learning Library), Predictive Modeling, Model Deployment, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Supervised Learning, Virtual Machines, Data Pipelines

    4.3
    Rating, 4.3 out of 5 stars
    ·
    178 reviews

    Intermediate · Course · 1 - 4 Weeks

  • A

    Amazon

    Programming with Java

    Skills you'll gain: File I/O, Object Oriented Programming (OOP), Object Oriented Design, Java, Software Design, Maintainability, Debugging, Data Structures

    4.2
    Rating, 4.2 out of 5 stars
    ·
    90 reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Michigan

    Linear Regression Modeling for Health Data

    Skills you'll gain: Statistical Modeling, Statistics, Regression Analysis, Statistical Methods, Statistical Inference, Probability & Statistics, Correlation Analysis, Data Analysis, Statistical Analysis, Statistical Hypothesis Testing

    Intermediate · Course · 1 - 4 Weeks

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

  • The Fundamental of Data-Driven Investment: Sungkyunkwan University
  • Data Modeling, Transformation, and Serving: DeepLearning.AI
  • Analyze and Manage Enterprise Data Analytics Systems: EDUCBA
  • Researcher's guide to RNA sequencing data: Fred Hutchinson Cancer Center
  • Generative AI and Large Language Models: Coursera
  • GIS Data Formats, Design and Quality: University of California, Davis
  • Creating Features for Time Series Data: SAS
  • Power BI for Data Science and Analytics: Edureka
  • How Science Turns Data Into Knowledge: University of Michigan
  • Microsoft Azure Machine Learning for Data Scientists: Microsoft

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