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  • Data Analysis

Data Analysis Courses for Beginners

Beginner data analysis courses can help you learn data collection techniques, basic statistical concepts, data visualization, and interpretation of results. You can build skills in using spreadsheets for data manipulation, creating charts for visual representation, and applying descriptive statistics to summarize findings. Many courses introduce tools like Excel, Google Sheets, and data visualization software such as Tableau, showing you how to effectively analyze and present data to support decision-making.

Popular Beginner Data Analysis Courses and Certifications


  • C

    Coursera

    Build a Machine Learning Web App with Streamlit and Python

    Skills you'll gain: Machine Learning Algorithms, Dashboard Creation, Classification Algorithms, Interactive Data Visualization, Data Visualization Software, Model Evaluation, Applied Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Plot (Graphics), Web Applications, Logistic Regression, Predictive Modeling, Model Training, Data Science, Python Programming, Fine-tuning, Model Optimization, Pandas (Python Package)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    418 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Statistics with Python Using NumPy, Pandas, and SciPy

    Skills you'll gain: Statistics, Correlation Analysis, Data Analysis, Statistical Programming, Descriptive Statistics, Exploratory Data Analysis, Python Programming

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Análisis exploratorio de datos con Python y Pandas

    Skills you'll gain: Exploratory Data Analysis, Pandas (Python Package), Data Visualization, Seaborn, Plot (Graphics), Jupyter, Matplotlib, Data Analysis, Data Science, Statistical Analysis, NumPy, Data Manipulation, Data Cleansing, Descriptive Statistics, Python Programming, Data Quality

    4.1
    Rating, 4.1 out of 5 stars
    ·
    15 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Simple Linear Regression for the Absolute Beginner

    Skills you'll gain: Scientific Visualization, Data Preprocessing, Regression Analysis, Scikit Learn (Machine Learning Library), Feature Engineering, Data Cleansing, Predictive Modeling, Data Analysis, Statistical Modeling, Model Training, Statistical Methods, Supervised Learning, Model Evaluation, Machine Learning, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    67 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: Enterprise Model Deployment

    Skills you'll gain: Model Deployment, Apache Spark, Data Pipelines, PySpark, Model Training, Applied Machine Learning, Model Optimization, Machine Learning Algorithms, Docker (Software), Machine Learning, Data Science, Python Programming, Design Thinking

    4.3
    Rating, 4.3 out of 5 stars
    ·
    65 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Python Classes and Inheritance

    Skills you'll gain: Object Oriented Programming (OOP), JSON, Object Oriented Design, Unit Testing, Python Programming, Code Reusability, Software Testing, Data Structures

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.7K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Demand Forecasting Using Time Series

    Skills you'll gain: Time Series Analysis and Forecasting, Demand Planning, Trend Analysis, Data Visualization, Regression Analysis, Plot (Graphics), Forecasting, Statistical Analysis, Predictive Modeling, Correlation Analysis, Predictive Analytics, Applied Machine Learning, Supply Chain, Supply Chain Management, Data Analysis, Pandas (Python Package), Statistical Modeling, Machine Learning, Python Programming

    3.3
    Rating, 3.3 out of 5 stars
    ·
    39 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    O

    O.P. Jindal Global University

    Machine Learning

    Skills you'll gain: Model Evaluation, Supervised Learning, Model Training, Scikit Learn (Machine Learning Library), Tensorflow, Model Deployment, Applied Machine Learning, Artificial Neural Networks, Python Programming, NumPy, Machine Learning Algorithms, Matplotlib, Deep Learning, Image Analysis, Machine Learning, Model Optimization, Embeddings, Pandas (Python Package), Natural Language Processing

    Build toward a degree

    3.9
    Rating, 3.9 out of 5 stars
    ·
    9 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Intro to Predictive Analytics Using Python

    Skills you'll gain: Feature Engineering, Unsupervised Learning, Model Evaluation, Predictive Modeling, Predictive Analytics, Advanced Analytics, Decision Tree Learning, Supervised Learning, Applied Machine Learning, Model Training, Forecasting, Random Forest Algorithm, Analytics, Data Analysis, Regression Analysis, Machine Learning, Logistic Regression, Python Programming

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Coursera

    DataOps: Automation & Reliability

    Skills you'll gain: Apache Airflow, Docker (Software), Git (Version Control System), SQL, Data Pipelines, Containerization, CI/CD, Debugging, Ansible, Database Management, Continuous Deployment, Performance Tuning, Infrastructure as Code (IaC), Continuous Integration, Workflow Management, DevOps, Automation, Configuration Management, Root Cause Analysis, Python Programming

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    C

    Coursera

    LLM Optimization & Evaluation

    Skills you'll gain: Apache Airflow, MLOps (Machine Learning Operations), Fine-tuning, User Acceptance Testing (UAT), Prompt Patterns, LLM Application, AI Security, Extract, Transform, Load, Scripting, Technical Communication, SQL, Model Optimization, Data Pipelines, Data Presentation, Large Language Modeling, Python Programming, Performance Tuning, Root Cause Analysis, Statistical Analysis, Version Control

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    K-Means Clustering 101: World Happiness Report

    Skills you'll gain: Unsupervised Learning, Applied Machine Learning, Plotly, Data Visualization, Machine Learning, Scientific Visualization, Social Sciences, Machine Learning Methods, Socioeconomics, Statistical Machine Learning, Machine Learning Algorithms, Social Studies, Economics, Policy, and Social Studies, Social Determinants Of Health, Data Mining, Data Analysis, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    21 reviews

    Beginner · Guided Project · Less Than 2 Hours

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

  • Build a Machine Learning Web App with Streamlit and Python: Coursera
  • Statistics with Python Using NumPy, Pandas, and SciPy: University of Michigan
  • Análisis exploratorio de datos con Python y Pandas: Coursera
  • Simple Linear Regression for the Absolute Beginner: Coursera
  • AI Workflow: Enterprise Model Deployment: IBM
  • Python Classes and Inheritance: University of Michigan
  • Demand Forecasting Using Time Series: LearnQuest
  • Machine Learning: O.P. Jindal Global University
  • Intro to Predictive Analytics Using Python: University of Pennsylvania
  • DataOps: Automation & Reliability: Coursera

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