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Results for "data analytics"

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    G

    Google

    Google Data Analytics

    Skills you'll gain: Data Storytelling, Rmarkdown, Data Literacy, Data Visualization, Data Presentation, Data Ethics, Data Cleansing, Data Validation, Ggplot2, R (Software), Tableau Software, Sampling (Statistics), Presentations, Spreadsheet Software, Data Analysis, LinkedIn, Object Oriented Programming (OOP), Data Structures, Interviewing Skills, Applicant Tracking Systems

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    177K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Data Analytics

    Skills you'll gain: Data Storytelling, Big Data, Data Analysis, Data Cleansing, Apache Hadoop, Statistical Analysis, Data Visualization, Apache Hive, Data Mart, Data Warehousing, Data Transformation, Apache Spark, Data Science, Analytics, Data Lakes, Data Visualization Software, Relational Databases, Microsoft Excel

    4.8
    Rating, 4.8 out of 5 stars
    ·
    20K reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    Apply Data Analytics Using Python and Pandas

    Skills you'll gain: NumPy, Pandas (Python Package), Model Evaluation, Jupyter, Data Analysis, Applied Machine Learning, Analytical Skills, Data Manipulation, Matplotlib, Business Analytics, Exploratory Data Analysis, Data Visualization Software, Python Programming, Descriptive Statistics, Linear Algebra

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Foundations: Data, Data, Everywhere

    Skills you'll gain: Data Ethics, Data Analysis, Analytics, Data-Driven Decision-Making, Google Sheets, Business Analytics, Spreadsheet Software, Analytical Skills, Tableau Software, Data Sharing, Data Collection, Data Cleansing, Data Processing, Data Visualization Software, Data Visualization, SQL

    4.8
    Rating, 4.8 out of 5 stars
    ·
    121K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    D

    DeepLearning.AI

    DeepLearning.AI Data Analytics

    Skills you'll gain: Data Storytelling, Web Scraping, Google Sheets, Data Visualization, Data Presentation, Spreadsheet Software, Large Language Modeling, Tableau Software, Data Literacy, Dashboard, LinkedIn, Pandas (Python Package), Time Series Analysis and Forecasting, Probability & Statistics, Extract, Transform, Load, Statistical Analysis, Statistics, Data Manipulation, Data Analysis, Descriptive Statistics

    4.8
    Rating, 4.8 out of 5 stars
    ·
    252 reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Google Advanced Data Analytics

    Skills you'll gain: Data Storytelling, Data Visualization, Exploratory Data Analysis, Regression Analysis, Data Visualization Software, Data Presentation, Statistical Hypothesis Testing, Sampling (Statistics), Data Ethics, Feature Engineering, Logistic Regression, Model Evaluation, Data Analysis, Statistical Analysis, Tableau Software, Machine Learning, Object Oriented Programming (OOP), Data Science, Interviewing Skills, Python Programming

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    10K reviews

    Advanced · Professional Certificate · 3 - 6 Months

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    M

    Macquarie University

    Excel Skills for Data Analytics and Visualization

    Skills you'll gain: Pivot Tables And Charts, Data Storytelling, Power BI, Microsoft Excel, Excel Formulas, Data Presentation, Data Visualization Software, Data Visualization, Interactive Data Visualization, Spreadsheet Software, Dashboard, Data Cleansing, Data Manipulation, Data Preprocessing, Excel Macros, Infographics, Data Transformation, Data Analysis, Data Sharing, Data Integration

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Meta

    Introduction to Data Analytics

    Skills you'll gain: Data Storytelling, Business Metrics, Key Performance Indicators (KPIs), Data Cleansing, Data Modeling, Analytics, Data Analysis, Data Visualization, Data Validation, Exploratory Data Analysis, Data Quality, Data Manipulation, Generative AI, Data Collection, Data Management, Marketing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.1K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Introduction to Data Analytics for Business

    Skills you'll gain: Data Governance, Data Management, Business Analytics, Analytics, Data Quality, Data Analysis, Business Intelligence, Big Data, Data Strategy, Organizational Structure, Relational Databases, SQL, Data Storage, Cloud Computing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.2K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Data Analytics with Excel and R

    Skills you'll gain: Data Storytelling, Exploratory Data Analysis, Database Design, Shiny (R Package), Ggplot2, Data Wrangling, Data Visualization Software, Data Visualization, Relational Databases, Statistical Visualization, Interactive Data Visualization, Statistical Analysis, Dashboard, Big Data, Microsoft Excel, Data Presentation, Excel Formulas, Data Manipulation, Spreadsheet Software, Web Scraping

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    31K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Preview
    Preview
    S

    Simplilearn

    Data Analytics with Python

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

    4.9
    Rating, 4.9 out of 5 stars
    ·
    22 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Basics of Healthcare Data Analytics: Boost Patient Outcomes

    Skills you'll gain: Data Integrity, Health Insurance Portability And Accountability Act (HIPAA) Compliance, Dashboard, Data Storytelling, Health Information Management, Data Cleansing, Health Informatics, Data Governance, Clinical Data Management, Patient Safety, Data Visualization, Data Security, Health Information Management and Medical Records, Data Analysis, Data Validation, Data Transformation, Statistical Analysis, Microsoft Excel, Data-Driven Decision-Making, Descriptive Statistics

    Beginner · Specialization · 3 - 6 Months

1234…834

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

  • Google Data Analytics: Google
  • Introduction to Data Analytics: IBM
  • Apply Data Analytics Using Python and Pandas: EDUCBA
  • Foundations: Data, Data, Everywhere: Google
  • DeepLearning.AI Data Analytics: DeepLearning.AI
  • Google Advanced Data Analytics: Google
  • Excel Skills for Data Analytics and Visualization: Macquarie University
  • Introduction to Data Analytics: Meta
  • Introduction to Data Analytics for Business: University of Colorado Boulder
  • IBM Data Analytics with Excel and R: IBM

Frequently Asked Questions about Data Analytics

Data analytics is the process of examining data sets to draw conclusions about the information they contain. It involves using various tools and techniques to analyze data, identify patterns, and make informed decisions. In today's data-driven world, data analytics is crucial for businesses and organizations as it helps them understand customer behavior, optimize operations, and drive strategic initiatives. By leveraging data analytics, companies can enhance their competitiveness and make evidence-based decisions that lead to better outcomes.‎

A career in data analytics can open doors to various job opportunities. Common roles include data analyst, business intelligence analyst, data scientist, and data engineer. These positions often involve interpreting complex data sets, creating visualizations, and providing actionable insights to stakeholders. Additionally, industries such as finance, healthcare, marketing, and technology are increasingly seeking professionals skilled in data analytics, making it a versatile and in-demand field.‎

To succeed in data analytics, you need a combination of technical and analytical skills. Key skills include proficiency in data manipulation tools like Excel, SQL, and programming languages such as Python or R. Understanding statistical analysis, data visualization techniques, and machine learning concepts is also beneficial. Furthermore, strong problem-solving abilities and critical thinking are essential for interpreting data effectively and communicating findings to non-technical audiences.‎

There are numerous online courses available for those interested in data analytics. Some of the best options include the Google Data Analytics Professional Certificate and the IBM Data Analytics with Excel and R Professional Certificate. These programs provide comprehensive training and practical experience, making them ideal for anyone looking to build a solid foundation in data analytics.‎

Yes. You can start learning data analytics on Coursera for free in two ways:

  1. Preview the first module of many data analytics courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  2. Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

If you want to keep learning, earn a certificate in data analytics, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

To learn data analytics, start by identifying your learning goals and the specific skills you want to acquire. You can begin with introductory courses that cover the basics of data analysis and gradually progress to more advanced topics. Engage with hands-on projects to apply what you learn in real-world scenarios. Additionally, joining online communities or forums can provide support and resources as you navigate your learning journey.‎

Data analytics courses typically cover a range of topics, including data collection and cleaning, exploratory data analysis, statistical methods, data visualization, and predictive modeling. Many courses also introduce tools and software commonly used in the industry, such as Excel, SQL, and programming languages like Python or R. By exploring these topics, learners can develop a well-rounded understanding of data analytics and its applications.‎

For training and upskilling employees in data analytics, programs like the Google Advanced Data Analytics Professional Certificate and the DeepLearning.AI Data Analytics Professional Certificate are excellent choices. These courses are designed to equip professionals with the necessary skills to analyze data effectively and make data-driven decisions, enhancing their contributions to their organizations.‎

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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