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    • Data Analytics

    Data Analytics Courses

    Data analytics courses can help you learn how to collect, interpret, and visualize data to uncover insights and support decision-making across industries.

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    Find the Best Data Analytics Course for Your Goals

    • Status: New
      New
      S

      Simplilearn

      Data Analytics with Python

      Skills you'll gain: Matplotlib, NumPy, Python Programming, Data Presentation, Pandas (Python Package), Data Analysis, Data Visualization Software, Scripting, Analytics, Numerical Analysis, Data Manipulation, Real Time Data, Data Processing, Programming Principles, Scripting Languages, Data Cleansing

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      Unilever

      Using Data Analytics in Supply Chain

      Skills you'll gain: Data Governance, Data Storytelling, Presentations, Data Management, Supply Chain Management, Data Analysis, Data Visualization Software, Data Quality, Analytical Skills, Data Cleansing, Data Collection, Spreadsheet Software, Data Validation

      4.5
      Rating, 4.5 out of 5 stars
      ·
      66 reviews

      Beginner · Course · 1 - 3 Months

    • M

      Meta

      GenAI in Data Analytics

      Skills you'll gain: Generative AI, Business Analytics, Analytics, Data Quality, Business Analysis, Data Ethics, Prompt Engineering, Process Optimization, OpenAI, Artificial Intelligence, Data Analysis, ChatGPT, Machine Learning, Deep Learning, Natural Language Processing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      32 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Data Structures

      Skills you'll gain: Data Structures, Algorithms, Data Storage, Programming Principles, Computer Programming, C++ (Programming Language), Theoretical Computer Science, File Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      5.5K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI for Human Resources (HR) Professionals

      Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, HR Tech, Human Resources Software, Human Resources Management and Planning, OpenAI, Human Resources, Workforce Planning, Human Resource Strategy, Data Ethics, Large Language Modeling, Artificial Intelligence, Program Development, Employee Engagement, Content Creation, Recruitment, Performance Appraisal, Employee Onboarding, Image Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.7K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D
      S

      Multiple educators

      Machine Learning

      Skills you'll gain: Unsupervised Learning, Supervised Learning, Machine Learning Methods, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Jupyter, Data Ethics, Decision Tree Learning, Tensorflow, Scikit Learn (Machine Learning Library), Artificial Intelligence, NumPy, Predictive Modeling, Deep Learning, Reinforcement Learning, Random Forest Algorithm, Feature Engineering

      Build toward a degree

      4.9
      Rating, 4.9 out of 5 stars
      ·
      34K reviews

      Beginner · Specialization · 1 - 3 Months

    • U

      University of California, Irvine

      Human Resources Analytics

      Skills you'll gain: Data Storytelling, Data-Driven Decision-Making, Training and Development, Performance Metric, Compensation Management, Human Resources Management and Planning, Human Resources, Human Resource Strategy, Workforce Planning, Business Metrics, Business Analytics, Employee Engagement, Recruitment, Talent Acquisition, Employee Retention

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2K reviews

      Mixed · Course · 1 - 4 Weeks

    • S

      Stanford University

      Introduction to Statistics

      Skills you'll gain: Descriptive Statistics, Statistics, Statistical Methods, Sampling (Statistics), Statistical Analysis, Data Analysis, Statistical Modeling, Statistical Hypothesis Testing, Regression Analysis, Statistical Inference, Probability, Exploratory Data Analysis, Quantitative Research, Data Collection, Probability Distribution

      4.6
      Rating, 4.6 out of 5 stars
      ·
      4.1K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D
      A

      Multiple educators

      DeepLearning.AI Data Engineering

      Skills you'll gain: Apache Airflow, Data Modeling, Data Pipelines, Data Storage, Data Storage Technologies, Data Architecture, Data Transformation, Requirements Analysis, Data Processing, Data Warehousing, Query Languages, Apache Hadoop, Extract, Transform, Load, Data Lakes, Amazon Web Services, Apache Spark, Database Systems, Data Integration, Infrastructure as Code (IaC), Terraform

      4.8
      Rating, 4.8 out of 5 stars
      ·
      447 reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Virginia Darden School Foundation

      IBM & Darden Digital Strategy

      Skills you'll gain: Strategic Thinking, Digital Transformation, Business Strategy, Cloud Computing Architecture, Competitive Analysis, Cloud Services, Large Language Modeling, Artificial Intelligence, Business Transformation, Cloud Security, Cloud Technologies, Cloud Infrastructure, Big Data, Cloud Platforms, Data Analysis, Statistical Analysis, Cloud Hosting, Generative AI, Product Lifecycle Management, Business Technologies

      4.7
      Rating, 4.7 out of 5 stars
      ·
      45K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Exploratory Data Analysis for Machine Learning

      Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Data Cleansing, Data Access, Data Analysis, Statistical Inference, Statistical Hypothesis Testing, Data Quality, Data Science, Probability & Statistics, Jupyter, Machine Learning, Data Manipulation, Pandas (Python Package), Statistical Analysis, Data Transformation, Artificial Intelligence

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.2K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Accounting Analytics

      Skills you'll gain: Financial Data, Financial Analysis, Financial Statement Analysis, Financial Forecasting, Business Analytics, Predictive Analytics, Analytics, Forecasting, Financial Statements, Accounting, Business Metrics, Performance Analysis, Anomaly Detection, Return On Investment, Key Performance Indicators (KPIs), Business Strategy

      4.5
      Rating, 4.5 out of 5 stars
      ·
      3K reviews

      Mixed · Course · 1 - 4 Weeks

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    1…131415…631

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

    • Data Analytics with Python: Simplilearn
    • Using Data Analytics in Supply Chain: Unilever
    • GenAI in Data Analytics: Meta
    • Data Structures: University of California San Diego
    • Generative AI for Human Resources (HR) Professionals: IBM
    • Machine Learning: DeepLearning.AI
    • Human Resources Analytics: University of California, Irvine
    • Introduction to Statistics: Stanford University
    • DeepLearning.AI Data Engineering: DeepLearning.AI
    • IBM & Darden Digital Strategy: University of Virginia Darden School Foundation

    Why Learn Data Analytics?

    Data analytics is the process of examining raw data to find trends, patterns, and actionable insights. It’s a key driver in business, healthcare, finance, and technology, helping organizations make informed decisions. Learning data analytics can equip you with tools for solving problems, measuring outcomes, and creating value in a data-driven world.

    Frequently Asked Questions about Data Analytics

    Top options include the Google Data Analytics Professional Certificate, Introduction to Data Analytics from IBM, and Data Analytics Professional Certificate from DeepLearning.AI. These programs cover data cleaning, analysis, visualization, and tools like Excel, SQL, Python, and Tableau.‎

    Yes. Many data analytics courses offer a free audit option. Learners can access video lessons and reading materials at no cost. To complete assignments or earn a certificate, you’ll need to upgrade or apply for financial aid.‎

    You’ll learn how to collect, organize, and interpret data to support decision-making. Topics include data wrangling, descriptive statistics, data visualization, and using analytics tools such as spreadsheets, SQL databases, R, or Python.‎

    Not at all. Many beginner-friendly courses are designed for learners with no prior experience and provide step-by-step instruction. More advanced courses are also available for those with a background in math, programming, or business.‎

    Yes. Data analytics is one of the most in-demand skill sets in business, tech, finance, and healthcare. Coursera courses can help you build a portfolio, earn job-ready certificates, and develop skills that support roles like data analyst, business analyst, or operations specialist.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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