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  • Exploratory Data Analysis

Exploratory Data Analysis Courses

Exploratory Data Analysis courses can help you learn data visualization techniques, statistical summaries, and data cleaning methods. You can build skills in identifying patterns, detecting anomalies, and interpreting results to inform decision-making. Many courses introduce tools like Python, R, and Tableau, which facilitate the analysis and presentation of data insights, allowing you to effectively communicate findings and support data-driven strategies.


Popular Exploratory Data Analysis Courses and Certifications


  • E

    EDUCBA

    Apply Sqoop for HR Data Analytics Projects

    Skills you'll gain: Apache Hadoop, Data Import/Export, Extract, Transform, Load, Big Data, Data Pipelines, Data Processing, Data Migration, SQL, Analytics, Data Manipulation, MySQL, Data Quality, Scalability, Data Security, Scheduling

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Invoices: Tax, Data & Spreadsheets

    Skills you'll gain: Invoicing, Billing & Invoicing, Accounting Records, Billing, Excel Formulas, Spreadsheet Software, Tax Compliance, Payment Processing and Collection, Microsoft Excel, Sales Tax, Regulatory Requirements, Law, Regulation, and Compliance, Automation

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Data calculations in Microsoft Excel

    Skills you'll gain: Microsoft Excel, Excel Formulas, Spreadsheet Software, Microsoft 365, Data Analysis Expressions (DAX), Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    40 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • E

    EDUCBA

    Master & Apply Entity Framework for Data Access

    Skills you'll gain: Database Design, Data Modeling, .NET Framework, Object-Relational Mapping, Database Development, Query Languages, Data Access, Data Management, C# (Programming Language), SQL

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Data Engineer, Big Data and ML on Google Cloud en Français

    Skills you'll gain: Model Deployment, Dataflow, Google Cloud Platform, Real Time Data, Data Pipelines, Data Lakes, PySpark, Tensorflow, Data Governance, Apache Spark, Dashboard, Apache Kafka, Data Warehousing, Data Import/Export, Data Processing, Extract, Transform, Load, Big Data, Unstructured Data, Operational Databases, Data Integration

    4.4
    Rating, 4.4 out of 5 stars
    ·
    58 reviews

    Intermediate · Specialization · 3 - 6 Months

  • U

    University of Pittsburgh

    Big Data Processing with Hadoop and Spark

    Skills you'll gain: Apache Hadoop, Apache Spark, PySpark, Data Pipelines, Distributed Computing, Big Data, Apache Hive, Data Processing, Data Storage Technologies, Data Storage, Scikit Learn (Machine Learning Library), Predictive Modeling, Scalability, Data Management, Data Science, Data Transformation, Information Technology, Data Analysis, Python Programming

    Build toward a degree

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Data Modeling with Power BI: Advanced DAX Calculations

    Skills you'll gain: Data Analysis Expressions (DAX), Power BI, Business Analysis, Financial Data, Business Intelligence, Data Modeling, Financial Analysis, Time Series Analysis and Forecasting, Data Visualization, Data Import/Export

    4.5
    Rating, 4.5 out of 5 stars
    ·
    16 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • U

    University of Michigan

    Design Strategies for Maximizing Total Data Quality

    Skills you'll gain: Data Quality, Data Integrity, Data Validation, Data Governance, Quality Assurance, Data Collection, Data Preprocessing, Data Analysis, Verification And Validation, Design Strategies, Sampling (Statistics)

    5
    Rating, 5 out of 5 stars
    ·
    8 reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    University of London

    Foundations of Data Science: K-Means Clustering in Python

    Skills you'll gain: Matplotlib, Probability & Statistics, Data Science, Unsupervised Learning, Statistics, NumPy, Python Programming, Pandas (Python Package), Data Analysis, Machine Learning Algorithms, Machine Learning, Data Manipulation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    734 reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Govern Your GenAI Data Safely

    Skills you'll gain: Data Governance, Role-Based Access Control (RBAC), Responsible AI, Governance, Data Management, Generative AI, Metadata Management, Security Controls, AI Security, Data Quality, Data Access, Identity and Access Management, Benchmarking, Data Security, Compliance Management, Quality Assurance and Control

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Essential Causal Inference Techniques for Data Science

    Skills you'll gain: Regression Analysis, Data Science, Machine Learning Methods, R Programming, Statistical Inference, Applied Machine Learning, Machine Learning, Statistical Methods, Advanced Analytics, Data Analysis, Predictive Modeling

    4.5
    Rating, 4.5 out of 5 stars
    ·
    39 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • U

    University of Toronto

    GIS Data Acquisition and Map Design

    Skills you'll gain: Geographic Information Systems, Geospatial Mapping, Data Mapping, Spatial Data Analysis, Data Visualization, Metadata Management, Quantitative Research, Spatial Analysis, Typography, Data Manipulation, Data Modeling, Design Elements And Principles, Data Import/Export

    4.9
    Rating, 4.9 out of 5 stars
    ·
    726 reviews

    Beginner · Course · 1 - 3 Months

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1…108109110…834

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

  • Apply Sqoop for HR Data Analytics Projects : EDUCBA
  • Invoices: Tax, Data & Spreadsheets: Coursera
  • Data calculations in Microsoft Excel: Coursera
  • Master & Apply Entity Framework for Data Access: EDUCBA
  • Data Engineer, Big Data and ML on Google Cloud en Français: Google Cloud
  • Big Data Processing with Hadoop and Spark: University of Pittsburgh
  • Data Modeling with Power BI: Advanced DAX Calculations : Coursera
  • Design Strategies for Maximizing Total Data Quality: University of Michigan
  • Foundations of Data Science: K-Means Clustering in Python: University of London
  • Govern Your GenAI Data Safely: Coursera

Skills you can learn in Probability And Statistics

R Programming (19)
Inference (16)
Linear Regression (12)
Statistical Analysis (12)
Statistical Inference (11)
Regression Analysis (10)
Biostatistics (9)
Bayesian (7)
Logistic Regression (7)
Probability Distribution (7)
Bayesian Statistics (6)
Medical Statistics (6)

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