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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

    • U

      University of California San Diego

      Data Structures and Performance

      Skills you'll gain: Unit Testing, Data Structures, Development Testing, Java Programming, Software Testing, Performance Tuning, Debugging, Computer Programming, Algorithms, Object Oriented Programming (OOP), Theoretical Computer Science

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.2K reviews

      Intermediate · Course · 1 - 3 Months

    • D

      DeepLearning.AI

      Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

      Skills you'll gain: Tensorflow, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Performance Tuning, Artificial Neural Networks, Machine Learning Algorithms, Analysis, Debugging

      4.9
      Rating, 4.9 out of 5 stars
      ·
      63K reviews

      Intermediate · Course · 1 - 4 Weeks

    • I

      IBM

      Generative AI for Data Scientists

      Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI, Exploratory Data Analysis, Data Ethics, OpenAI, Feature Engineering, Predictive Modeling, Large Language Modeling, Artificial Intelligence, Data Storytelling, Program Development, Data Modeling, Data Presentation, Data Synthesis, Data Analysis, Data Cleansing, Data Visualization Software, Data Manipulation, Image Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.4K reviews

      Intermediate · Specialization · 1 - 3 Months

    • D

      DeepLearning.AI

      Structuring Machine Learning Projects

      Skills you'll gain: Deep Learning, Applied Machine Learning, Machine Learning, Tensorflow, PyTorch (Machine Learning Library), Debugging, Artificial Intelligence, Keras (Neural Network Library), Data Quality, Performance Tuning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      50K reviews

      Beginner · Course · 1 - 4 Weeks

    • V

      Vanderbilt University

      Prompt Engineering

      Skills you'll gain: Prompt Engineering, ChatGPT, Ideation, Verification And Validation, Data Validation, Data Presentation, Productivity, Document Management, Generative AI, Artificial Intelligence, Large Language Modeling, Risk Management Framework, Microsoft Excel, Creative Thinking, Ingenuity, Brainstorming, Problem Solving, Data Ethics, Data Analysis, Information Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.4K reviews

      Beginner · Specialization · 1 - 3 Months

    • I

      IBM

      Generative AI for Business Intelligence (BI) Analysts

      Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI, Interactive Data Visualization, Business Intelligence, Data Presentation, Infographics, OpenAI, Dashboard, Data Storytelling, Large Language Modeling, Artificial Intelligence, Program Development, SQL, Data Analysis, Image Analysis, Content Creation, Business Ethics, Virtual Environment, Natural Language Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.3K reviews

      Intermediate · Specialization · 1 - 3 Months

    • G

      Google

      Get Started with Python

      Skills you'll gain: Object Oriented Programming (OOP), Data Analysis, Data Structures, Jupyter, Python Programming, NumPy, Pandas (Python Package), Programming Principles, Scripting, Data Manipulation, Algorithms

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.5K reviews

      Advanced · Course · 1 - 3 Months

    • D

      DeepLearning.AI

      DeepLearning.AI TensorFlow Developer

      Skills you'll gain: Tensorflow, Computer Vision, Image Analysis, Keras (Neural Network Library), Natural Language Processing, Time Series Analysis and Forecasting, Deep Learning, Artificial Neural Networks, Generative AI, Applied Machine Learning, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Text Mining, Forecasting, Data Processing, Supervised Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      25K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • M

      Macquarie University

      Excel Skills for Business: Essentials

      Skills you'll gain: Microsoft Excel, Data Visualization, Spreadsheet Software, Excel Formulas, Data Management, Data Entry, Productivity Software

      4.9
      Rating, 4.9 out of 5 stars
      ·
      50K reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      V

      Vanderbilt University

      AI Agent Developer

      Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI Agents, Generative AI, OpenAI, Ideation, Verification And Validation, Data Validation, Data Presentation, Productivity, AI Personalization, Document Management, Python Programming, Agentic systems, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Personalized Service, Large Language Modeling, Risk Management Framework, Expense Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.7K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      V

      Vanderbilt University

      ChatGPT + Excel: AI-Enhanced Data Analysis & Insight

      Skills you'll gain: Data Storytelling, Prompt Engineering, Data Presentation, ChatGPT, Excel Macros, Excel Formulas, Data Synthesis, Microsoft Excel, Productivity, Infographics, Data Visualization, Spreadsheet Software, Data Analysis, Generative AI, Artificial Intelligence, Data Cleansing, Large Language Modeling, Interactive Data Visualization, Data Import/Export, Statistical Reporting

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.8K reviews

      Beginner · Specialization · 1 - 3 Months

    • D

      Duke University

      Python, Bash and SQL Essentials for Data Engineering

      Skills you'll gain: Pandas (Python Package), Bash (Scripting Language), Version Control, Jupyter, Linux Commands, Git (Version Control System), Shell Script, Linux, Web Scraping, Linux Administration, Data Manipulation, MySQL, Microservices, AWS SageMaker, SQL, JSON, Scripting, Cloud Engineering, Command-Line Interface, Development Environment

      4.5
      Rating, 4.5 out of 5 stars
      ·
      429 reviews

      Beginner · Specialization · 3 - 6 Months

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

    • Data Structures and Performance: University of California San Diego
    • Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization: DeepLearning.AI
    • Generative AI for Data Scientists: IBM
    • Structuring Machine Learning Projects: DeepLearning.AI
    • Prompt Engineering: Vanderbilt University
    • Generative AI for Business Intelligence (BI) Analysts: IBM
    • Get Started with Python: Google
    • DeepLearning.AI TensorFlow Developer: DeepLearning.AI
    • Excel Skills for Business: Essentials: Macquarie University
    • AI Agent Developer: Vanderbilt University

    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

    Coursera’s Data Analytics courses equip learners with a broad array of analytical skills:

    • Basics of data collection, cleaning, and preprocessing
    • Techniques for statistical analysis and interpretation of data
    • Use of analytics tools and software like Python, R, SQL, and Excel
    • Data visualization skills for communicating insights effectively
    • Understanding of machine learning models for data-driven predictions
    • Application of analytics in real-world business scenarios‎

    Data Analytics courses on Coursera are designed to welcome learners at all levels:

    • Beginners without prior experience can start with introductory courses on the fundamentals of data handling and analysis.
    • Intermediate learners can build on existing knowledge with courses on specific tools or techniques.
    • Advanced users can refine their skills and learn to manage complex analytics projects and data sets.‎

    Learners completing Data Analytics courses on Coursera can earn credentials that may enhance their professional profiles:

    • Professional certificates that may indicate proficiency in various analytics tools and methodologies
    • Specializations that explore specific aspects of data analytics, from data visualization to advanced statistical methods
    • Certificates that can be seen by employers as a testament to your commitment to developing analytics skills‎

    Acquiring skills from Data Analytics courses can open doors to diverse career paths across sectors:

    • Data Analyst, turning data into insights that inform business decisions
    • Business Intelligence Analyst, developing actionable intelligence from complex datasets
    • Data Scientist, using advanced statistical techniques and machine learning to solve problems
    • Marketing Analyst, analyzing consumer data to drive marketing strategies
    • Operations Analyst, improving efficiency through data-driven process optimizations ‎

    Yes, Coursera offers a variety of free courses across many topics, including data analytics. While you can access most course materials for free by auditing the courses, this does not include graded assignments or a completion certificate. For those looking to obtain a certificate to showcase their learning or enhance their professional profile, Coursera provides the option to purchase the course. Additionally, Coursera offers free trials or financial aid to learners who qualify, making certifications more accessible to everyone.‎

    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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