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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
      P

      Packt

      Master Retrieval-Augmented Generation (RAG) Systems

      Skills you'll gain: Large Language Modeling, Prompt Engineering, Generative AI, Interactive Data Visualization, Text Mining, Data Processing, Unstructured Data, Scalability

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      C

      Coursera Instructor Network

      GenAI for Account Managers: Personalizing Client Engagement

      Skills you'll gain: Account Management, Client Services, AI Personalization, Customer Engagement, Generative AI Agents, Customer Communications Management, Personalized Service, Customer Insights, Prompt Engineering, Communication, ChatGPT, Scalability, HubSpot CRM, Predictive Modeling, Business Process Automation, Business Ethics, Workflow Management, Automation

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Case Western Reserve University

      Basic Principles of Geostatistical Geospatial Modeling

      Skills you'll gain: Geostatistics, Exploratory Data Analysis, Spatial Data Analysis, Spatial Analysis, Geospatial Mapping, Geospatial Information and Technology, Statistical Methods, Statistical Modeling, R Programming, Statistical Analysis, Probability & Statistics, Descriptive Statistics, Data Analysis, Regression Analysis, Correlation Analysis, Data Validation, Histogram, Box Plots, Simulation and Simulation Software

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      G

      Google

      Stay Ahead of the AI Curve

      Skills you'll gain: Artificial Intelligence, Workforce Development, Strategic Thinking, Digital Transformation, Innovation, Generative AI, Emerging Technologies, Business Solutions, Data Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      279 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Introduction to Discrete Mathematics for Computer Science

      Skills you'll gain: Graph Theory, Logical Reasoning, Combinatorics, Computational Logic, Deductive Reasoning, Cryptography, Probability, Key Management, Computational Thinking, Encryption, Network Analysis, Public Key Cryptography Standards (PKCS), Algorithms, Theoretical Computer Science, Python Programming, Data Structures, Cybersecurity, Arithmetic, Computer Programming, Mathematical Modeling

      4.5
      Rating, 4.5 out of 5 stars
      ·
      3.6K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      C

      Coursera Instructor Network

      LLM Engineering with RAG: Optimizing AI Solutions

      Skills you'll gain: Prompt Engineering, Large Language Modeling, OpenAI, Scalability, Generative AI, Data Integration, Artificial Intelligence, Performance Tuning, Application Development, Application Programming Interface (API)

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google

      Think Outside the Inbox: Email Marketing

      Skills you'll gain: Email Marketing, Campaign Management, Marketing Automation, Personally Identifiable Information, Newsletters, Content Marketing, Digital Marketing, Copywriting, Marketing Strategy and Techniques, HubSpot CRM, Customer Data Management, Promotional Strategies, Key Performance Indicators (KPIs), Performance Analysis, Customer Retention

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.7K reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      C

      Coursera Instructor Network

      GenAI for Field Sales Agents: Local Market Insights

      Skills you'll gain: Sales Territory Management, Generative AI Agents, Sales Strategy, Customer Engagement, Sales Process, Lead Generation, Sales, Customer experience improvement, Real Time Data, Customer Insights, Market Analysis, Ethical Standards And Conduct, Performance Analysis

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Introduction to Programming with Python and Java

      Skills you'll gain: Matplotlib, Object Oriented Design, Java, Object Oriented Programming (OOP), Data Analysis, Unit Testing, Pandas (Python Package), Eclipse (Software), Data Structures, Data Cleansing, Debugging, Pivot Tables And Charts, Data Visualization Software, Software Testing, Integrated Development Environments, Program Development, Programming Principles, Python Programming, Computer Programming, Computational Thinking

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.8K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      P

      Packt

      Matrix Calculus for Data Science & Machine Learning

      Skills you'll gain: Calculus, Applied Mathematics, NumPy, Linear Algebra, Applied Machine Learning, Tensorflow, Machine Learning, Derivatives, Algorithms, Development Environment

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Using Python to Interact with the Operating System

      Skills you'll gain: Bash (Scripting Language), Unit Testing, Scripting, Unix Shell, Shell Script, Linux Commands, Test Driven Development (TDD), Unix Commands, Unix, Scripting Languages, Development Environment, Operating Systems, Command-Line Interface, File Management, OS Process Management, Automation, Debugging, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.5K reviews

      Beginner · Course · 1 - 3 Months

    • D

      Duke University

      Introduction to Machine Learning

      Skills you'll gain: PyTorch (Machine Learning Library), Reinforcement Learning, Image Analysis, Applied Machine Learning, Deep Learning, Machine Learning, Natural Language Processing, Supervised Learning, Unsupervised Learning, Artificial Neural Networks, Computer Vision, Medical Imaging

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

      Intermediate · Course · 1 - 3 Months

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    1…444546…638

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

    • Master Retrieval-Augmented Generation (RAG) Systems: Packt
    • GenAI for Account Managers: Personalizing Client Engagement: Coursera Instructor Network
    • Basic Principles of Geostatistical Geospatial Modeling: Case Western Reserve University
    • Stay Ahead of the AI Curve: Google
    • Introduction to Discrete Mathematics for Computer Science: University of California San Diego
    • LLM Engineering with RAG: Optimizing AI Solutions: Coursera Instructor Network
    • Think Outside the Inbox: Email Marketing: Google
    • GenAI for Field Sales Agents: Local Market Insights: Coursera Instructor Network
    • Introduction to Programming with Python and Java: University of Pennsylvania
    • Matrix Calculus for Data Science & Machine Learning: Packt

    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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